Course Overview

Community-Based Management of Acute Malnutrition (CMAM)

⏱ Duration: 6 Weeks | 16 Contact Hours | Mode: Blended learning (online and in-person workshops)

Instructor

• Syeda Sumaiya Nasrin: Manager- Knowledge Management and Donor Reporting, Health and Nutrition, Humanitarian Crisis Management Programme (HCMP).
• Lipi Rani Mondal: Lecturer (Senior-scale), Department of Nutrition and Food Engineering, Daffodil International University.

Course Description

The purpose of CMAM is to maximize coverage and access to life-saving treatment for acute malnutrition by providing decentralized, home-based care before medical complications develop.

Evidence of Demand

• The demand for a specialized CMAM course in Bangladesh is driven by critical gaps in public health infrastructure, high malnutrition burdens, and the urgent need for trained community-level responders.
• Severe Burden of Malnutrition: Bangladesh records a maternal mortality ratio of 173 per 100,000 live births and an infant mortality rate of 28 per 1,000 live births (World Bank, 2021). Frontline training is time-sensitive, as the first 1,000 days of an infant's life are vital for long-term developmental outcomes (WHO, 2021).
• Socioeconomic Barriers: Decentralizing acute wasting treatment to villages helps bypass economic barriers, as approximately 24% of the population survives below the poverty line (BBS, 2020), making hospital journeys financially impossible for many. Community strategies also reduce urban health system pressures and transmission risks.
• Evidence-Based Protocols: Standardized, community-oriented protocols significantly drive down infant wasting mortality, and systematic clinical evaluations (like MUAC metrics) ensure cases are tracked uniformly to prevent relapse.
• Empowering Frontline Infrastructure: Active social mobilization and dedicated field worker tracking drastically optimize longitudinal patient adherence.

Course Objectives

This course aims to:

• Early Detection: Screen children early using Mid-Upper Arm Circumference (MUAC).
• Outpatient Care: Treat severe acute malnutrition (SAM) at home using RUTF.
• Inpatient Stabilization: Provide 24-hour clinical care for complicated malnutrition cases.
• Prevention: Manage moderate acute malnutrition (MAM) to prevent severe wasting.
• Integration: Embed malnutrition treatment into existing primary healthcare systems.

Course Content & Class Plan (Modules)

• Week 1: Foundations of Acute Malnutrition & The CMAM Framework: Global and national burdens; differentiating wasting, stunting, and underweight; shifting to decentralized CMAM.
• Week 2: Community Mobilization & Active Case-Finding: Strategies for community engagement; barrier identification; stakeholder mapping and trust-building.
• Week 3: Outpatient Therapeutic Program (OTP) Management: Admission/discharge criteria for SAM without complications; routine medical protocols.
• Week 4: Inpatient Care & Management of Complicated SAM: Stabilization Center (SC) criteria; treating hypoglycemia, hypothermia, and dehydration.
• Week 5: Managing Moderate Acute Malnutrition (MAM) & IYCF: Targeted SFP protocols; Infant and Young Child Feeding (IYCF) practices; maternal nutrition/mental health.
• Week 6: M&E, Reporting, and Course Wrap-Up: Monitoring indicators (cure, default, death rates); HMIS data integration.

Practical & Field Work (60% of Course)

• Navigating national integrated management guidelines and CMAM core components.
• Hands-on practice using MUAC tapes, assessing bilateral pitting edema, and role-playing referral conversations.
• Conducting Ready-to-Use Therapeutic Food (RUTF) appetite tests and filling OTP treatment cards.
• Calculating and preparing therapeutic milks (F-75 and F-100) and drafting feeding schedules.
• Counseling caregivers on nutrition using local foods and designing IYCF-nutrition sessions.
• Compiling monthly facility nutrition reports and supply chain forecasting for RUTF.

Learning Outcomes

After completing the course, participants will be able to:

• Identify and classify acute malnutrition forms (SAM, MAM, stunting) using standard WHO anthropometric indicators.
• Perform accurate physical measurements (MUAC taping, grading pitting edema) and standard appetite tests.
• Prescribe correct routine medical therapies and formulate F-75/F-100 feeding protocols.
• Execute proper triage, referral, and discharge decisions.
• Design localized mobilization strategies and counsel mothers on IYCF and postpartum mental well-being.
• Maintain accurate facility records, calculate program indicators, and forecast supply-chain requirements.

Target Audience & Requirements

Target Audience:

• Community health workers supporting mothers and infants.
• Healthcare professionals (nurses, midwives) focused on maternal/child health.
• Nutritionists, dietitians, NGO staff in underserved communities, public health students, and policy makers.
• Class Size: Maximum 25 participants.

Entry Requirements:

• A background in health, nutrition, or social sciences (e.g., diploma or degree).
• Relevant work experience in community health, maternal and child health, or nutrition.
• Basic understanding of nutrition and health concepts.
• Minimum Age: The lowest age to enroll is 20 years.

Career Pathways

• Roles as Community Health Workers and management positions with UNICEF, WFP, BRAC, ACF.
• Specialized training at icddr,b.
• Policy advocacy with the Ministry of Health.
• Research contributions at icddr,b.

Tools & Resources

• MUAC measuring tapes and infant weighing scales.
• Sample growth charts (W/A and W/L).
• Case scenarios (printed descriptions of hypothetical infants).
• Assessment checklist and access to nutritional assessment tools.
• Online learning platform and instructional materials (readings, case studies).

Assessment Criteria

• Assignments, Quizzes, Group/Community Project.
• Week 1 online knowledge check.
• Case study review on program defaulting.
• Practical OSCE (Objective Structured Clinical Examination).
• Midterm exam on inpatient protocols and final comprehensive exam with field logbook submission.

Certification

Successful completion of assessments, practical OSCEs, exams, and field logbook submissions will result in the awarding of a micro-credential certificate.

Financial Information

• Tentative Course Fee: 2,500 BDT.

Course Overview

Course Overview

Operation & Maintenance of Industrial Substations and Generating Stations (Batch 02)

⏱ Duration: 12 Weeks | 36 Contact Hours (3 Hours per Week)

Evidence of Demand

With the rapid expansion of industrial zones, power plants, EPZs, Hi-Tech Parks, and modern electrical infrastructure in Bangladesh, the demand for skilled professionals in substation and generator operation & maintenance is growing significantly.

Although many engineers and technicians graduate with strong theoretical knowledge, there remains a critical skills gap in hands-on operation, fault diagnosis, safety compliance, and maintenance of live electrical systems such as 33/11 kV substations and industrial generating stations.

Industries now seek professionals who can operate equipment confidently, follow safety standards, reduce downtime, and ensure uninterrupted power supply. This micro-credential course directly responds to that industry demand by delivering practical, site-based, and industry-aligned training.

Purpose and Objectives

This course aims to:

• Provide hands-on training in the operation and maintenance of industrial substations and generating stations

• Develop practical skills in handling transformers, switchgear, LT panels, generators, and protection systems

• Enhance understanding of industrial load management, grounding, and safety protocols

• Familiarize learners with real-world equipment, testing methods, and troubleshooting techniques

Tentative Syllabus (Highlights)

• Introduction to 33/11 kV and 11/0.415 kV substations

• Substation layout, HT & LT switchgear

• Power transformers: operation, protection, and maintenance

• Industrial LT distribution systems & load management

• Diesel and gas generator installation, operation & maintenance

• Battery banks, DC systems, grounding & lightning protection

• Electrical safety standards (BNBC, IEC, NFPA)

• Industrial site visits and final practical evaluation

Learning Outcomes

After completing the course, participants will be able to:

• Identify and explain components of industrial substations and generating stations

• Interpret single-line diagrams and protection systems

• Perform routine inspection and preventive maintenance

• Operate generators safely and manage industrial loads

• Apply electrical safety practices and hazard mitigation techniques

• Conduct basic testing of transformers, batteries, and grounding systems

Target Audience

• Diploma and BSc-level engineering students (EEE, Power, Mechanical)

• Substation and generator operators or technicians

• Junior field engineers and maintenance personnel

• Professionals from factories, power plants, EPZs, and EPC companies

Entry Qualifications

• Diploma in Engineering (Electrical/Power/Mechanical) OR

• BSc in EEE, Mechanical, or related fields (students or graduates)

• Basic understanding of electrical systems and safety

• Prior industrial experience is an advantage but not mandatory

Progression Pathway

After completing this micro-credential, learners may:

• Work as Substation Maintenance Technician, Generator Operator, Electrical Safety Officer, or Maintenance Supervisor

• Progress to advanced certifications in:

  • Power System Protection

  • SCADA & Automation

  • High-Voltage Switching & Safety

• Apply skills directly to industrial jobs, internships, or apprenticeships

Assessment Criteria

• Class participation & attendance – 10%

• Weekly quizzes / viva – 20%

• Practical skill evaluation / group project – 40%

• Field visit report – 10%

• Final practical evaluation & demonstration – 20%

Resource Requirements

Facilities & Equipment

• Multimedia-equipped classrooms

• Functional 33/11 kV and 11/0.415 kV substations

• Industrial generator stations

• Battery banks, DC systems, and protection panels

Tools, Instruments & Materials

• Insulation Resistance (IR) testers

• Earth resistance testers

• Transformer oil testing kits

• Multimeters, clamp meters

• PPE, LOTO kits, relay testing equipment

Learning Materials

• Course manual & handbook

• Weekly presentation slides

• Maintenance checklists

• Field visit logbook

• Safety standards documentation (BNBC, IEC, NFPA)
  
  
  

Standard Course Fee:

The following discounts currently apply:

• Daffodil Students: Tk 2,000/-
• Non-Daffodil Students: Tk 3,000/- (60% Discount Promotional Offer)

Course Overview

Certificate Course in Diabetic Nutrition (Batch 02)

⏱ Duration: 14 hours (7 sessions, 2 hours each) spread across a 6-week schedule | Mode of Delivery: Hybrid (in-person + online) 

Instructor(s) : 

Course Description

This course addresses the urgent need for specialized nutrition expertise in Bangladesh, where diabetes prevalence is 14.2% and rising (IDF, 2023). It equips healthcare professionals with evidence-based skills to manage diabetes through medical nutrition therapy (MNT), covering diagnosis, meal planning, and complication prevention. With hands-on case studies and practical exercises, participants will enhance patient care and meet industry demands for roles in diabetes clinics and community health programs.

Evidence of Demand

• Bangladesh has a 14.2% diabetes prevalence (IDF, 2023), projected to reach 15% by 2030, with 43.5% undiagnosed cases.
• There is an urgent need for professionals skilled in Medical Nutrition Therapy (MNT).
• Hospitals and clinics are increasingly seeking trained dietitians and nurses (as seen on platforms like bdjobs.com).

Purpose and Objectives

Purpose: To provide healthcare professionals with practical skills in diabetic nutrition for effective patient counseling and improved health outcomes.

Objectives:

• Understand diabetes types and glucose homeostasis. * Apply Medical Nutrition Therapy (MNT) for glycemic control.
• Design culturally relevant meal plans (carb counting, GI/GL).
• Manage nutrition for special populations.
• Counsel patients effectively and stay updated on emerging trends.

Course Content & Class Plan (Modules)

• Module 1: Foundations of Diabetes & Nutrition: Diabetes types, epidemiology, basic nutrition, food labels, insulin physiology.
• Module 2: Medical Nutrition Therapy (MNT): MNT goals, carb counting, GI/GL, protein/fat management, meal planning.
• Module 3: Special Considerations & Complications: Medication-nutrition interactions, exercise, complications (nephropathy, CVD), special populations.
• Module 4: Counseling, Monitoring & Trends: Nutritional assessment, behavioral counseling, emerging trends (gut microbiome, fasting), case studies.
• Module 5: Precision Management & Lifecycle Transitions (CGM technology, pregnancy, and geriatric care).

Practical & Field Work

• Label Analysis: Practical exercises during the foundations module.
• Meal Plan Design: Hands-on activities applying ADA guidelines for carb counting and GI/GL management.
• Case Study Review: Analyzing clinical cases regarding complications and special populations.
• Counseling Role-Play: Practical application of behavioral counseling techniques.

Learning Outcomes

Upon completion, participants will be able to:

• Define "healthy food" for diabetes management (ADA-aligned).
• Identify foods to avoid/enjoy for glycemic control.
• Apply simple cooking tips for diabetic-friendly meals.
• Recognize toxins' impact on health and mitigation strategies.
• Adopt lifestyle changes to enhance diabetes control.

   Target Audience & Requirements

Target Audience:

• Dietitians, nutritionists, nurses, community health workers.
• Physician assistants, AYUSH practitioners, BDS/MDS professionals.
• Any professionals aiming to specialize in diabetes care.

Entry Requirements:

• Undergraduate degree or equivalent in health-related fields.
• Minimum Age: 20 years.

Career Pathways

• Graduates can pursue enhanced roles in diabetes clinics and endocrinology departments.
• Work as Diabetes Educators (with additional certifications like CDCES).
• Lead community health programs.

Tools & Resources

• Access to clinical guidelines (ADA).
• IDF reports and research articles.
• Sample food labels.
• Online learning platform for hybrid sessions.

Assessment Criteria

• 30% Laboratory / practical exercises.
• 25% Assignments / case studies.
• 20% Quizzes / knowledge checks.
• 15% Final project / research report.
• 10% Final examination.

Financial Information

• Tentative Course Fee: 8,000 BDT.

• Students: 3,000 BDT.
• Professionals: 5,000 BDT.

Course Overview

Data Science Professional Certificate

Instructor:
1. Dipto Biswas | Lecturer (Senior Scale) , Dept. of Information and Communication Engineering (ICE), DIU. His research interests include Machine Learning, NLP, Expert Systems, Cloud Computing, and AI.

2. Md. Sakaid Hosain Shakir | Lecturer , Department of Information and Communication Engineering, DIU

⏱ Duration: 48 Hours | Pace: Self-paced with weekly deadlines and live sessions

Evidence of Demand

A 2025 study by the UK's Department of Education revealed that 90% of businesses are grappling with skills gaps, particularly in entry-level and specialist roles. The data science field is experiencing rapid expansion, with projections indicating a market size of $178.5 billion globally by 2025. In Bangladesh, industries like e-commerce (e.g., Daraz), telecommunications, and banking are increasingly adopting data-driven strategies, creating a vibrant job market for data science professionals.

Purpose and Objectives

Purpose: To equip learners with essential data science skills, enabling them to analyze, visualize, and interpret complex datasets to make data-driven decisions.

Objectives:

• Address the global and local skills gap in data science.
• Align with employer expectations for hands-on experience in data analytics and machine learning.
• Prepare learners for roles such as Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst.
• Provide real-world projects to build a professional portfolio.

Course Content & Class Plan (Modules)

• Module 1: Introduction to Data Science (Week 1-2)

• Module 2: Data Wrangling and Cleaning (Week 3-4)

• Module 3: Data Exploration and Visualization (Week 5-6)

• Module 4: Introduction to Machine Learning (Week 7-8)

• Module 5: Advanced Machine Learning Techniques (Week 9-12)

• Module 6: Deep Learning and Neural Networks (Week 13-14)

• Module 7: Data Science in Practice (Week 15-16)

• Final Capstone Project: (Week 17-18)

Practical & Field Work

Learners will work on a Collaborative group project (selecting a real-world problem, analyzing data, and building a model) and a Final Capstone Project. The capstone requires students to apply everything learned to develop and present a comprehensive data science solution involving data collection, cleaning, analysis, model building, and evaluation.

Learning Outcomes

• Master Python for data science, including data manipulation, visualization, and analysis.
• Perform data wrangling and exploratory data analysis (EDA).
• Apply machine learning models for classification, regression, and clustering tasks.
• Evaluate and optimize models using performance metrics.
• Work on real-world projects to build a portfolio.

Target Audience

• Students & Fresh Graduates (IT, CS, Engineering, Business, Statistics, Agriculture).
• Working Professionals & Career Switchers (Finance, Marketing, Healthcare, IT).
• Entrepreneurs & Business Leaders.
• Aspiring Data Scientists & Analysts.
• Tech Enthusiasts & Researchers.

Entry Requirements

• Minimum Age: 18 years (Ensures participants have the necessary educational background and cognitive skills).
• No prior programming knowledge required
• Fundamental Math & Statistics: Basic algebra, probability, and statistics.
• No prior Data Science experience required.

Career Pathways

Career opportunities in:

• Tech & IT: Data Scientist, ML Engineer, Data Engineer.
• Agriculture: data analysis, decision making, predictive analysis and modeling
• E-commerce/Retail: Market/Customer Insights Analyst.
• Telecom: Network Data Analyst.
• Academia: AI Ethics Specialist / Researcher.

Tools & Resources

• Software & Tools: Python, Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, Power BI, SQL.
• Cloud Platforms: Google Colab, AWS, or Google Cloud.
• Platforms: GitHub, Slack/Teams, Zoom, standard LMS (Moodle/Canvas).

Assessment Criteria

• Hands-on Projects: 40%
• Quizzes & Weekly Assignments: 30%
• Final Exam: 20%
• Final Capstone Project: 10%

Financial Information & Certification

• Tentative Course Fee: BDT 3,000 (Includes access to video lectures, assignments, live webinars, software tools, and certification).

Course Overview

 Agentic AI: Building Autonomous Systems for Enterprise & Research 

⏱ Duration: 12 Weeks (Approx.) | 48 Hours (Total) | Mode: Online / Blended (Live sessions + Labs) 

Course Description

To provide foundational knowledge and practical skills in investment analysis and portfolio management, enabling informed decision-making and effective portfolio strategies.

Instructor(s):

• Lead Instructor: Professor Dr. Emdad Khan | Research Professor, Maharishi International University (MIU), USA.
• CEO, InternetSpeech Inc. (25+ Years Experience in AI, Holder of 23 US Patents).

Course Description

This course equips students with the advanced skills to design, build, and deploy autonomous AI agents. Moving beyond simple generative content creation, participants will learn to build systems that can reason, plan, and execute complex workflows autonomously. Students will master Agentic architectures, memory management, tool integration, and multi-agent coordination using industry-leading frameworks.

Evidence of Demand

The AI industry is shifting from "Generative AI" (content creation) to "Agentic AI" (task execution). Tech giants like Microsoft (AutoGen) and OpenAI (Assistants API) are investing heavily in agents. There is a massive skills gap for professionals who can build autonomous systems that reason, plan, and use tools to automate complex workflows in enterprise and academia.

Purpose and Objectives

To equip students with the skills to design, build, and deploy autonomous AI agents.

Objectives:

• Understand Agentic AI architecture & cognitive loops.
• Master advanced prompting (ReAct, Chain-of-Thought).
• Implement Multi-Agent Systems using LangChain/CrewAI.
• Deploy agents for real-world automation (Academic/Admin).

Course Content & Class Plan (Modules)

• Module 1: Foundations of Agentic AI (Evolution, Characteristics).
• Module 2: Agent Architectures (Reactive vs. Deliberative, BDI).
• Module 3: LLMs as Agents (Reasoning Engines, Prompting).
• Module 4: Planning & Reasoning (CoT, ReAct, Self-Correction).
• Module 5: Memory & Knowledge (Vector DBs, RAG, MCP).
• Module 6: Tool Use & Action (Function Calling, API Integration).
• Module 7: Multi-Agent Systems (Coordination, Swarm Intelligence).
• Module 8: Frameworks (LangChain, AutoGPT, CrewAI).
• Module 9: Evaluation, Safety & Ethics (Reliability, Governance).
• Module 10: Deployment & Scaling (Monitoring, Security).
• Module 11 & 11(A): Applied Use Cases (Academic, Admin, Customer Service) & Reliable Grounding.
• Module 12: Capstone Project (Design & Live Demo).

Practical & Field Work (Capstone Projects)

Students will build fully functional agents such as:

• AI Academic Advisor Agent: Reads university policies and advises students.
• Department Service Automation Agent: Handles student tickets and schedules autonomously.
• Multi-Agent Research Assistant: A team of agents (Researcher + Writer + Editor) that writes reports.
• Autonomous Helpdesk Agent: Resolves technical queries by accessing manuals and databases.

Learning Outcomes

Upon completion, students will be able to:

• Understand Agentic AI principles and architectures.
• Design autonomous agents with goals, memory, and tools.
• Implement single and multi-agent systems in Python.
• Integrate agents with real-world APIs and databases.
• Evaluate agent reliability and safety.
• Deploy live agentic systems for enterprise use cases.

Target Audience & Requirements

Target Audience:

• CSE/SWE/CIS/ITM/MCT Students (3rd/4th Year).
• Software Engineers & Data Scientists.
• Automation Engineers & Researchers.
• Faculty interested in AI automation.

Entry Requirements:

• Minimum Age: 20 Years.
• Introduction to AI / Machine Learning.
• Basic Python Programming.
• Fundamentals of Data Structures (Recommended).

Career Pathways

• AI Agent Architect.
• AI Automation Engineer.
• Research Engineer (AI/ML).
• AI Product Developer.

Assessment Criteria

• Final Project – 40%
• Labs & system design tasks – 30%
• Case studies & assignments – 30%

Tools & Resources

• Language: Python.
• Environment: VS Code / Jupyter.
• Models: OpenAI API, Open Source LLMs (Llama/Mistral).
• Databases: Vector DBs (FAISS, Pinecone, ChromaDB).
• Frameworks: LangChain, CrewAI, AutoGen.
• Integration: REST APIs, GitHub.

Financial Information & Certification

• Tentative Course Fee:
• For Daffodil Students Tk 5,000/= 
• Without Daffodil Students Tk 7,500/=.

Course Overview

 Principles of Investment and Portfolio Management

⏱ Duration: 12 Weeks (25 Hours Total / 25 classes, 1 hour each) | Equivalent to 1 Credit Hour | Blended (In-person + Online)

Course Description

To provide foundational knowledge and practical skills in investment analysis and portfolio management, enabling informed decision-making and effective portfolio strategies.

Instructor

• Dr. Md. Azizur Rahman, Associate Professor & Head, Dept. of Business Administration, DIU. (Holds a PhD in Finance)
• Md Golam Rabby Ariyan, Chief Executive Officer, Amar Securities Limited
• Limon Moinur Rasul, Manager, UCB Investment Ltd.

Evidence of Demand

A 2024 DIU survey highlights a skills gap in capital market knowledge, with 60% of Business Department students seeking investment training. BICM course statistics show a 20% rise in enrollment for portfolio management courses, reflecting demand in merchant banks and broker houses (e.g., UCB Investment Ltd.). Job postings on bdjobs.com also emphasize skills in equity valuation and risk analysis.

Purpose and Objectives

This course aims to:

• Understand risk, return, diversification, and asset allocation.
• Analyze financial instruments (stocks, bonds, mutual funds).
• Evaluate investments using fundamental/technical analysis.
• Construct diversified portfolios based on goals/risk tolerance.
• Assess portfolio performance with metrics (e.g., beta, ratios).
• Interpret market trends and economic indicators.

Course Content & Class Plan (Modules)

• Weeks 1-2: Financial Markets & Macroeconomic Indicators - Financial Markets, Capital Market, Impact on Investor Decisions & macroeconomic factors.
• Weeks 3-4: Financial Statements Analysis - Income Statement, Balance Sheet & Cash Flow Statement.
• Weeks 5-6: Fundamental Analysis & Company valuation - Sector Analysis, Company Analysis, enterprise value & Valuation Techniques.
• Weeks 7-8: Technical Analysis - Candlestick, Dow Theory, Support and Resistance & Chart Patterns.
• Weeks 9-10: Risk-Return, Market trend & sentiment - Measuring Risk & Return Portfolio Risk and Diversification & Tools to Identify Market Trends.
• Weeks 11-12: Investment and Trading Strategies Portfolio Management - Investment Strategies, Trading Strategies, Portfolio Construction & Monitoring and Rebalancing.

Practical & Field Work

• Company Analysis: Practical analysis of financial reports.
• Demo Trading: Real-time simulation of market trading strategies.
• Live Investment/Term Paper: Hands-on application of portfolio construction and market analysis.

Learning Outcomes

After completing the course, participants will be able to:

• Explain core investment concepts (risk, return, diversification).
• Analyze stocks, bonds, and mutual funds effectively.
• Evaluate market opportunities using fundamental and technical tools.
• Build diversified portfolios aligned with financial goals.
• Assess performance using beta, ratios, and relevant metrics.
• Interpret market trends for data-driven decision-making.

Target Audience & Requirements

Target Audience

• Business & Economics students (undergraduates/graduates).
• General investors seeking wealth-building skills.

Entry Requirements

• Current undergraduates or graduates in the Business Department.
• Basic interest in financial markets.
• Minimum Age: 20 Years.

Career Pathways

After completing this micro-credential, learners may:

• Jobs: Roles in merchant banks, broker houses, asset management firms (e.g., UCB Investment Ltd.).
• Business: Investing in Dhaka/Chattogram Stock Exchanges.
• Advanced Studies: Advanced certifications in portfolio management or CFA.

Assessment Criteria

• Attendance – 10%
• Class tests – 20%
• Assignments – 20%
• Demo trading – 20%
• Live investment/term paper – 20%
• Presentation – 10%

Tools & Resources

Facilities & Equipment

• Multimedia classroom with internet access.
• Computers with trading software.
• Class Size: 25 Participants.

Learning Materials & Software

• Trading software: TradingView, Excel.
• Financial databases: Bloomberg, DSE, CSE, Bangladesh Bank.

Financial Information, Certification

• Tentative Course Fee: 1,500 BDT.
• Certification: Certification issued by DIU-MCA upon completion.

Course Overview

Hands-on Professional Training on HPLC: Your Gateway to Analytical Excellence - (Batch 4)

Course Code: DIU-MCA-MC29003
Course Title: Hands on Professional Training on HPLC: Your Gateway to Analytical Excellence
Duration: 40 hours (5 days) 
Mode: In-person (interactive lectures, hands-on lab sessions, data analysis workshops) 
Class Size: 20-25 participants 
Course Equivalent: 2 Credit Hours

Course Fee: Students: 5,000 BDT; Professionals: 6,000 BDT

Course Description 
Hands on Professional Training on HPLC: Your Gateway to Analytical Excellence (MC29001) meets the soaring demand for skilled High-Performance Liquid Chromatography (HPLC) professionals, with over 70% of analytical job postings in pharmaceuticals, biotechnology, and food safety requiring HPLC expertise. This intensive 5-day course offers hands-on training in operating HPLC systems, method development, sample analysis (pharmaceuticals, foods, herbal products), and troubleshooting. Aligned with industry standards, it prepares participants for quality control, research, or regulatory roles in high-growth sectors. 🌟

Syllabus:

• Day 1: Intro to HPLC – Instrumentation, principles, applications. Activities: System setup demo. Resources: HPLC manuals.
• Day 2: Mobile Phase & Sample Prep – Solvent selection, sample preparation. Activities: Prep lab. Resources: Solvent guides.
• Day 3: Sample Analysis – Pharmaceuticals, foods, herbal products. Activities: Sample analysis lab. Resources: Sample protocols.
• Day 4: Method Development & Data Processing – Method optimization, chromatogram analysis. Activities: Data analysis workshop. Resources: Software tutorials.
• Day 5: Troubleshooting & Maintenance – Issue resolution, system care. Activities: Troubleshooting case study. Resources: Maintenance checklists.

Target Audience 

• 3rd-year+ students in Pharmacy, Genetic Engineering, Biotechnology, Nutrition, Food Engineering, Agricultural Science.

• Graduates and early-career professionals seeking analytical skills.

Entry Requirements 

• Foundational knowledge in analytical chemistry.

• 3rd-year+ students in Health or Medical Sciences.

• Minimum age: 20 years.

Career Pathways 

• Analytical Chemist, Quality Control Analyst.

• Research Scientist in pharma, food, biotech.

• Roles in advanced health/life sciences research.

• Professional Certificate in HPLC Analytical Techniques.

Course Overview

Land & Property Insights with Google Earth Pro

⏱ Duration: 40 hours, Blended (In-person and online)

Instructors

• Academic Expert: Shakil Ahmed – Lecturer, Dept. of Real Estate, DIU
• Industry Expert: Md. Mahfuzul Haq – DGM, ADDL

Course Description In today's real estate and land management industries, geospatial technology plays a crucial role in property analysis, site assessment, and urban planning. Land and Property Insights with Google Earth Pro is a practical, skill-based course designed to help professionals and enthusiasts harness the full potential of Google Earth Pro for real estate and land analysis. This course provides a step-by-step guide to using Google Earth Pro's powerful tools, including high-resolution mapping, measurement techniques, historical imagery analysis, and virtual tour creation. Learners will gain hands-on experience in property visualization, land assessment, and spatial data analysis, helping them make more informed and data-driven decisions in real estate, urban development, and infrastructure planning.

Evidence of Demand

• Growing Need: The course addresses the growing need for professionals who can leverage geospatial technology for real estate and land analysis.
• Data-Driven Decisions: As the demand for data-driven decision-making in real estate, urban planning, and land management increases, this course equips learners with essential skills to analyze, measure, and visualize land and property.
• Urbanization Challenges: With rapid urbanization and infrastructure expansion, particularly in countries like Bangladesh, professionals need expertise in property mapping, site assessment, and land use planning.
• Industry Value: This course enables graduates to tackle critical challenges such as efficient land utilization, property valuation, and environmental assessment, making them valuable assets in the real estate and urban development sectors.
• Career Enhancement: The skills gained will also enhance career opportunities in real estate development, GIS-based research, urban planning, environmental consultancy, and policy-making.

Course Objectives

• Skill Development: The course is designed to equip learners with the skills to effectively utilize Google Earth Pro for real estate analysis, land assessment, and urban planning.
• Practical Understanding: It provides a practical and hands-on approach to understanding land and property dynamics as geospatial technology becomes increasingly vital.
• Bridging the Gap: This course bridges the gap between traditional property analysis and modern digital mapping techniques, ensuring informed decision-making and efficient land utilization.

Course Content & Class Plan (Modules)

• Lesson 00: Introduction
• Lesson 01: Installing Google Earth Pro
• Lesson 02: Navigating the Google Earth Pro Interface
• Lesson 03: Exploring Street View in Google Earth Pro
• Lesson 04: Measurement Techniques in Google Earth Pro
• Lesson 05: Exploring Historical Imagery in Google Earth Pro
• Lesson 06: Using Placemarks, Polygons and Paths in Google Earth Pro
• Lesson 07: Finding Directions with Google Earth Pro
• Lesson 08: Creating Elevation Profile in Google Earth Pro
• Lesson 09: Creating Virtual Tours in Google Earth Pro
• Lesson 10: Recording Virtual Tours in Google Earth Pro
• Lesson 11: Saving High Resolution Image in Google Earth Pro
• Lesson 12: Generating Viewsheds in Google Earth Pro
• Lesson 13: Analyzing Demo Project using Google Earth Pro

Practical & Field Work

• Hands-on Application: The course includes an analysis of a demo project utilizing Google Earth Pro.
• Project-Based Assessment: Practical application is evaluated through formal project work.

Learning Outcomes

Upon completion, participants will be able to:

• Navigate and utilize Google Earth Pro for real estate and land analysis.
• Install, configure, and customize Google Earth Pro settings for optimal use.
• Analyze property locations and surroundings using Street View and Historical Imagery.
• Measure land areas, distances, and elevations with precision for site assessments.
• Create and manage Placemarks, Polygons, and Paths to map properties and developments.
• Generate Viewsheds and Elevation Profiles for better land visualization.
• Find and analyze routes and accessibility for real estate and infrastructure projects.
• Capture and export high-resolution images and maps for professional reports.
• Design and record Virtual Tours to showcase properties and land developments.
• Apply Google Earth Pro tools to support real estate decision-making, planning, and policy development.

Target Audience

• Real Estate Professionals: Agents, developers, and property managers looking to enhance property visualization, site selection, and market analysis.
• Urban Planners & Land Developers: Professionals involved in infrastructure planning, zoning, and land use optimization.
• Surveyors & GIS Enthusiasts: Individuals seeking to strengthen their skills in geospatial mapping, property measurement, and topographical analysis.
• Environmental & Sustainability Experts: Professionals analyzing land use, environmental impact, and sustainable development.
• Academics & Researchers: Those working on real estate trends, urban development, and spatial data analysis.
• Students & Enthusiasts: Anyone interested in real estate, geography, GIS, or urban studies, eager to learn practical applications of Google Earth Pro.

Entry Requirements

• Minimum Age: 20 years.
• Computer Skills: Basic ability to install and navigate software on a computer.
• Industry Knowledge: Fundamental knowledge of real estate, property, or urban planning concepts is preferred but not mandatory.
• Interest: No prior GIS experience is required, but an interest in geospatial analysis and mapping is beneficial.

Career Pathways

After completing this course, learners can progress to:

• Advanced GIS & Mapping Courses: Further studies in Geographic Information Systems (GIS), Remote Sensing, and Spatial Data Analysis.
• Urban Planning & Land Management Programs: Specialized courses or degrees focusing on urban development, zoning regulations, and environmental planning.
• Real Estate & Property Valuation Certifications: Programs in real estate appraisal, land valuation, and investment analysis to strengthen credentials.

Tools & Resources

• Software: Google Earth Pro Software.
• Hardware: Computer/laptop.

Assessment Criteria

• Quizzes
• Project work
• Viva

Course Fee

• Tentative Fee: 1000 BDT 

Course Overview

GMP and HACCP in Food System: Essentials for Food Safety and Quality Management

⏱ Duration: 18 Hours (Equivalent to 1 Credit Hour) | Mode of Delivery: Offline (In-person classroom lectures and practical sessions)

Instructor(s):

• Md. Harun-Ar Rashid: Former Head of QC and R&D, Eurasia Food Processing Industry; expert in HACCP, GMP, food safety.
• Mohaiminul Hasan Shakil: Lead Auditor-Food, Bureau Veritas-Bangladesh Pvt Limited; specialist in food safety auditing.

Course Description

GMP and HACCP in Food System: Essentials for Food Safety and Quality Management (MC-34-014) meets the global demand for certified food safety professionals, driven by stringent regulatory standards and sustainable production goals. This course equips participants with practical skills to implement Good Manufacturing Practices (GMP) and Hazard Analysis and Critical Control Points (HACCP) in food production. Through case studies, hands-on assignments, and expert-led sessions, learners will master risk assessment, compliance, and auditing, preparing them for roles in quality assurance, food safety, and regulatory agencies.

Evidence of Demand

• There is a growing global demand for certified food safety professionals due to stringent regulatory standards (Codex Alimentarius, ISO 22000), export compliance requirements, and sustainable production goals.
• Food industries increasingly require GMP & HACCP-trained personnel for QA/QC and compliance roles.

Purpose and Objectives

This course aims to train participants in GMP and HACCP principles, enabling them to ensure food safety, quality assurance, regulatory compliance, and effective risk management in food production systems.

Course Content & Class Plan (Modules)

• Module 1: Intro to Food Safety Systems: Codex Alimentarius, ISO 22000, global standards.
• Module 2: Fundamentals of GMP: Facility design, hygiene, personnel training, documentation control.
• Module 3: HACCP Framework: 7 principles, hazard analysis, CCP identification.
• Module 4: Risk Assessment & Controls: Biological, chemical, physical hazards; preventive measures.
• Module 5: Case Studies & Applications: Implementation challenges, compliance audits.
• Module 6: Assessment & Certification Preparation: HACCP plan drafting & presentation.

Practical & Field Work

• GMP Checklists: Executing GMP checklist exercises for facility design and hygiene. * HACCP Drafting: Hands-on drafting of HACCP plans.
• Risk Simulation: Participating in risk assessment simulations for biological, chemical, and physical hazards.
• Case Analysis: Analyzing real-world case studies regarding implementation and compliance.
• Presentations: Engaging in presentation workshops for HACCP plan reviews.

Learning Outcomes

After completing the course, participants will be able to:

• Design and implement GMP & HACCP systems.
• Conduct hazard analysis and identify CCPs.
• Perform risk assessments in food production.
• Document, audit, and improve food safety systems.
• Qualify for professional roles in food safety management.

Target Audience & Requirements

Target Audience:

• Food industry professionals.
• QA/QC personnel.
• Food safety officers.
• Food science students & researchers.
• Food & beverage entrepreneurs.

Entry Requirements:

• Basic knowledge of food safety/food science or relevant industrial experience.
• Minimum Age: 18 Years.

Career Pathways

Learners can follow this progression pathway: QA/QC Executive → HACCP Coordinator → Food Safety Officer → Lead Auditor (ISO 22000/HACCP) → Regulatory Agency Roles → Advanced Certification in Food Safety Management.

Assessment Criteria

• Final Presentation – 40%
• HACCP Plan Assignment – 20%
• Quizzes – 20%
• Participation – 20%

Tools & Resources

• Classroom with projector and presentation equipment.
• HACCP plan templates and printed GMP checklists.
• Codex guidelines and ISO reference materials.
• Case study documents and a whiteboard.

Financial Information

• Tentative Course Fee: 4,000 BDT per participant.

Course Overview

AI Agent Building 

Automate with AI Agents for Streamlined Success!

⏱ Duration: 14 Hours (Equivalent of 1 Credit Hour) | Mode of Delivery: Hybrid (Live Online Training & Physical Class)

Course Description 

In today’s fast-moving digital world, the ability to automate tasks and work smarter is no longer optional — it is essential. This training program is designed for professionals and organizations looking to harness the power of AI Agents to transform their business operations. The curriculum covers essential concepts like AI-Driven Automation, Prompt Engineering, and Workflow Optimization. Participants will explore how to create and deploy no-code AI Agents, integrate them into existing systems, and automate routine tasks for enhanced productivity—all without writing a single line of code.

Instructor(s)

• Md Imdadul Islam: Head of Training and Career Services, AICERTs Certified Trainer.
• Fahmidul Alam: Subject Matter Expert, AICERTs Certified Trainer.
• Md Shihab Reza: Subject Matter Expert, AICERTs Certified Trainer.

Evidence of Demand 

In today’s fast-moving digital world, the ability to automate tasks and work smarter is no longer optional—it is essential. Organizations and professionals urgently need to harness AI tools to streamline daily operations, improve productivity, and enhance efficiency without relying heavily on coding.

Purpose and Objectives Purpose: 

To help participants leverage modern AI tools to transform business operations via no-code agents.

Objectives:

• Master AI Agent deployment to automate business processes.
• Use AI tools to create no-code agents for seamless workflow automation.
• Apply advanced prompt engineering to improve AI Agent performance and accuracy.
• Master AI-powered workflows to optimize organizational decision-making.
• Develop practical skills to design, test, and deploy customized AI Agents.

Course Content & Class Plan (Tentative Syllabus)

• Module 1: Understanding AI in the Enterprise.
• Module 2: Advanced Prompt Engineering for Agent Performance.
• Module 3: Global Case Studies on AI Agents.
• Module 4: Introduction to No-Code AI Agents.
• Module 5: N8N Setup & Technical Integration.
• Module 6: Workflow Automation Design Principles.
• Module 7: Industry-Ready AI Agents Demonstrations.
• Module 8: Enterprise Use-Case Identification Workshop.
• Module 9: Practical Session – Designing Flows in N8N.
• Module 10: Group Project – Build & Deploy an AI Agent.
• Module 11: Creating AI Agents in Other No‑Code Tools (e.g., Zapier).
• Module 12: Ethical Considerations in AI and AI Agents.
• Module 13: Closing Session, Mentoring, and Further Support.

Practical & Field Work

• Hands-on Application: Module 9: Practical Session – Designing Flows in N8N. 
• Project Deployment: Module 10: Group Project – Build & Deploy an AI Agent.

Learning Outcomes

By the end of this course, participants will know:

• How to automate routine, repetitive office work using AI.
• Step-by-step building of no-code AI agents utilizing ChatGPT, Gemini, n8n, and Zapier.
• Practical prompt engineering techniques specifically tuned for real-world office tasks.
• Highly applicable, hands-on skills designed to boost job performance, business efficiency, and overall career growth.

Target Audience & Requirements

Target Audience:

• Professionals and organizations looking to harness the power of AI Agents to transform their business operations and optimize efficiency.

Entry Qualifications / Requirements:

• Prerequisite: Basic knowledge of AI + Prompt Engineering.
• Minimum Age: 18 Years (Standard for Professional Micro-Credentials).

Career Pathways (Progression)

• Graduates can progress to advanced Enterprise AI architecture roles, Business Process Automation Leads, or specialized AI Integration Consultants.

Assessment Criteria

Evaluation based on:

• Module 9: Practical Session Performance (Designing Flows in N8N).
• Module 10: Group Project (Building & Deploying a functional AI Agent).

Tools & Resources

Tools, Instruments & Materials:

• Laptop/PC with stable Internet connectivity.
• Active accounts/access to n8n, Zapier, Gemini, and ChatGPT.

Learning Materials:

• Deliverables included in the course: Class Records, Pre-recorded Course Access, Course E-Book, and Professional Certificate.

Financial Information

• Tentative Course Fee: BDT 3,500.

Course Overview

Site Execution Management, Safety & EHS Management

⏱ Duration: 30 Hours (Total) | Weekend (Friday/Saturday)

Course Description

This course aims to equip future site engineers and project managers with practical skills in structural execution supervision and comprehensive site safety management.

Instructor

1. Ms. Mardia Mumtaz (Lecturer, Department of Civil Engineering, DIU)
2. Faysal Ahmed (Senior Engineer, Daffodil International University)
3. Md. Rabiul Islam (Assistant Engineer, P&D. Specialist in Foundation Engineering & Site Safety)
4. Md. Tonmoy Alam (Assistant Engineer, P&D. Expert in High-Rise Structural Execution)

   Evidence of Demand

• There is a critical gap between academic theory and on-site reality in the construction sector.
• Many graduates lack practical supervision skills for structural execution and are unfamiliar with mandatory safety protocols (BNBC/EHS).
• Construction projects frequently face delays, quality issues, and safety hazards due to inadequate site management.
• Industry demands engineers who can enforce quality control and safety compliance simultaneously.

Course Objectives

This course aims to:

• Master field execution of Piling, Concreting, and Grid Alignment.
• Implement rigorous Site Safety protocols and EHS management.
• Ensure quality control through pre-pour/post-pour inspections.
• Manage labor and logistics effectively during critical phases.

Course Content & Class Plan (Modules)

Module 1: Structural Execution

• Cast-in-Situ Piling methods & Tremie Pipe concreting. * Structural Casting (Columns/Slabs) & Grid Alignment.
• Rebar checking & Reinforcement scheduling.

Module 2: Site Safety & EHS

• BNBC Safety Guidelines & Risk Assessment.
• PPE Compliance, Scaffolding Safety, & Fall Protection. * Emergency response & First Aid basics.

Module 3: Operational Management

• Holiday operations & Labor management.
• Pile Load Testing (PDA/PIT) interpretation.

Practical & Field Work (60% of Course)

• Mode of Delivery: Blended (Classroom Theory + 60% Field Work on active sites).
• Practical Activities: Site visits for Piling Rig observation & Safety Audits.

Learning Outcomes

Upon completion, participants will be able to:

• Supervise and validate Piling and Structural Casting operations.
• Execute precision Grid Line markings using surveying tools.
• Implement and enforce Site Safety protocols (EHS).
• Conduct Risk Assessments for hazardous site activities.
• Interpret technical test reports (Pile Load Test).

Target Audience:

• Civil Engineering Students (3rd/4th Year).
• Fresh Graduates seeking Site Engineer roles.
• Project Managers & Construction Interns.
• Site Supervisors looking to upskill.

Entry Requirements:

• Diploma or B.Sc. in Civil Engineering (or currently studying).
• Basic understanding of construction materials and structural drawings.
• Minimum Age: 20 Years.

Career Pathways

After completing this course, learners may progress to:

• Site Engineer / Senior Site Engineer.
• Project Manager.
• EHS Officer / Safety Manager.
• Quality Control (QC) Engineer.

Tools & Resources

• PPE (Helmets, Vests) for all students.
• Access to active DIU construction sites.
• Surveying instruments (Level machine/Total station).

Assessment Criteria

• Field Checklist (40%): Completing inspection cards on site.
• Safety Audit (30%): Identifying hazards in a mock site walkthrough.
• Final Quiz (30%): Theory on codes, calculations, and safety rules.

Tentative Course Fee:

• BDT 1,500 for Daffodil Student.

• BDT 3,000 for without Daffodil Student. 

Course Overview

Automation of Information Institutions using Koha-ILS and MARC21

⏱ Duration: 4 Days (Intensive Workshop) | In-person Hands-on Lab Training

Instructor

• Lead Instructor: Dr. Md. Milan Khan (Librarian, DIU; PhD in LIS, Univ. of Kalyani)
• Master Trainer: Md. Abdul Monnaf Sarker (Sr. Library Officer, DIU; PGDIT, JU)
• Co-Trainer: Syeda Aklima Begum (Library Officer, DIU; 20 years cataloging experience)
• Program Assist: Umme Ahasan (Library Officer, DIU)

Course Description 

This professional course is designed to equip library professionals and fresh graduates with specialized skills in library automation. It focuses on the installation, configuration, and management of Koha, the leading open-source Integrated Library System (ILS), combined with MARC21 bibliographic standards. The training addresses the need for modern digital hubs by teaching participants how to transition traditional libraries into automated, searchable, and interoperable systems.

Evidence of Demand

• Global Standard: Library automation is rapidly becoming a global standard for compliance and efficiency in academic and research institutions.
• National Need: Institutions in Bangladesh are actively seeking professionals who can transition traditional libraries into automated, searchable digital hubs.
• Mandatory Skill: For planning and managing libraries in universities, research institutes, and government organizations, knowledge of Koha and MARC21 is now considered a mandatory skill.
• Employment Gap: Employers increasingly seek professionals trained in Koha and library data standards, creating a strong demand for skills in installation, cataloging, and system administration.

Purpose and Objectives 

This course aims to equip library professionals and students with the technical skills to implement and manage automated library systems. Objectives:

• Master the installation and configuration of Koha (on Linux/Ubuntu).
• Understand bibliographic standards using the MARC21 framework.
• Learn to manage cataloging, circulation, report generation, and patron management digitally.
• Enable participants to customize OPAC (Online Public Access Catalog) for user-friendly access.

Tentative Syllabus (Highlights)

• Module 1: Introduction & Installation: Linux (Ubuntu) basics, Koha Installation, Post-install setup.
• Module 2: Administration & Configuration: Global system preferences, Library setup, Patron categories.
• Module 3: Cataloging with MARC21: Creating bibliographic frameworks, Z39.50/SRU targets.
• Module 4: Circulation & Serials: Check-in/Check-out rules, Fines, Serials control.
• Module 5: Reports & Tools: SQL Reports, Label creation, Batch patron modification.
• Module 6: OPAC Customization: Branding, search optimization, user account features.

Practical & Field Work

• Hands-on Lab Training: The course is delivered as an in-person, intensive workshop with a focus on practical implementation.
• Live Installation: Participants will perform live installation and configuration of the Koha ILS server.
• Cataloging Practice: Practical assignments involve creating MARC21 records and managing library resources digitally.

Learning Outcomes Upon completion, participants will be able to:

• Install and maintain a Koha ILS server on Linux.
• Catalog library resources using international MARC21 standards.
• Configure circulation rules, fines, and patron permissions.
• Customize the OPAC interface for institutional branding.
• Generate administrative reports using SQL queries.

Target Audience

• Library & Information Science Professionals / Students.
• IT Officers managing institutional repositories.
• Archivists and Documentation Officers.
• School/College Librarians transitioning to automation.

Entry Qualifications

• Basic computer literacy.
• Background or interest in Library Science / Information Management.
• Library professionals seeking skill upgrades.
• Minimum Age: 22 Years.

Progression Pathway 

After completing this course, learners may progress to roles such as:

• Library System Administrator
• Digital Archivist
• Information Manager
• Metadata Specialist

Assessment Criteria

• Practical Test (50%): Live installation and configuration task.
• Cataloging Assignment (30%): Creating MARC21 records.
• Quiz (20%): Theory on ILS standards.

Resource Requirements

• Facilities: Computer Lab with Internet Access, Dedicated Server/VM for practice.
• Tools: Bootable Pendrives (for Linux install).
• Materials: Course outline with documents, pad & pen.

Tentative Course Fee

• Professionals: BDT 5,500

• Students: BDT 5,000 

Course Overview

Restorative Justice: A Relational Framework of Justice in Bangladesh

⏱ Duration: 12 Hours (Total) | 6 Lectures (2 Hours each)

Instructor

• Lead Instructor: Dr. Muhammad Asadullah
• Affiliation: Visiting Professor, Dept. of Law, DIU; Associate Professor, Justice Studies, University of Regina, Canada.
• Distinctions: Recipient of 2024 CTL Teaching Award, President’s Teaching Scholar, and Best Paper Prize from the European Society of Criminology.

Course Description 

This introductory course offers a brief history and key themes of Restorative Justice (RJ), positioning it as a paradigm shift from traditional punitive justice. It critically examines the values, principles, and practices of RJ, exploring major themes such as relationship building and community strengthening in detail.

Evidence of Demand

• Global Phenomenon: Restorative Justice (RJ) is now used in over 100 countries to address the deeper aspects of crime and conflict.
• Critical Need in Bangladesh: There is a critical need for alternative dispute resolution mechanisms to support Village Courts, Indigenous justice systems, and community policing.
• Professional Skill Gap: Legal professionals, NGO workers, and community leaders increasingly require skills to facilitate justice that focuses on healing and relationship building rather than just punishment.

Purpose and Objectives 

This course aims to introduce the history, values, and principles of Restorative Justice. Objectives:

• Critically examine RJ values like respect, humility, and responsibility.
• Explore the role of RJ in building relationships and strengthening communities.
• Provide a framework to apply RJ lenses to day-to-day conflicts and macro-level social changes.

Course Content & Class Plan

• Module 1: Why does this matter? (RJ as a paradigm shift, Notion of conflict).
• Module 2: What is it? (Definition, Values: Respect, Humility, Responsibility).
• Module 3: Does it work? (Evidence, Measuring success, Peacemaking circles, Victim-offender mediation).
• Module 4: Building Relationships (Relational theory of justice).
• Module 5: Building Community (Role of community in resolving conflicts).
• Module 6: Implementation (RJ in day-to-day life, Living restoratively).

Practical & Field Work

• Interactive Delivery: The course utilizes an interactive mode comprising lectures, experiential learning exercises, and role-plays.
• Case Analysis: Students will apply RJ principles to specific real-world scenarios through final case analysis.

Learning Outcomes Upon completion, participants will be able to:

• Explain the history and key concepts of Restorative Justice.
• Articulate the core values and principles of RJ.
• Identify various RJ practices within the Bangladesh context (Village Courts/Indigenous).
• Apply the Restorative Justice lens to personal and professional life.

Target Audience

• Law Students and Legal Professionals.
• NGO Workers and Human Rights Activists.
• Police Officers and Village Court Officials.
• Social Workers and Community Leaders.
• Anyone interested in Peace and Conflict Studies.

Entry Requirements

• Academic: Higher Secondary Certificate (HSC) or Bachelor’s degree (ongoing/completed).
• Interest: Interest in social justice and community service.
• Age: Minimum 18 Years.

Career Pathways After completing this course, learners may progress to roles such as:

• Mediator / Arbitrator
• Restorative Justice Facilitator
• Village Court Assistant
• NGO Program Officer (Human Rights/Justice)

Assessment Criteria

• Worksheets & Reflections (40%): Weekly submission based on readings.
• Participation (30%): Engagement in role-plays and discussions.
• Final Case Analysis (30%): Applying RJ principles to a specific scenario.

Resource Requirements

• Materials: Reading materials (Fisher, Zehr, Braithwaite) and handouts for worksheets.
• Facilities: Multimedia classroom.

Tentative Course Fee

• Daffodil Students: BDT 1,500
• Non-Daffodil Participants: BDT 2,500 (This is a promotional offer).

Course Overview

Conflict Resolution : Transforming Challenges into Opportunities

⏱ Duration: 12 Hours (Total) | 6 Lectures (2 Hours Each)

Instructor

• Lead Instructor: Dr. Muhammad Asadullah
• Affiliation: Visiting Professor, Dept. of Law, DIU; Associate Professor, Justice Studies, University of Regina, Canada.
• Distinctions: Recipient of 2024 CTL Teaching Award, President’s Teaching Scholar, and Best Paper Prize from the European Society of Criminology.

Course Description
This introductory course familiarizes participants with key concepts of conflict, peace, conflict transformation, justice, and reconciliation. It moves beyond government-led resolutions to empower citizens with the skills to address crimes and conflicts at personal, relational, structural, and cultural levels. Through the "Peacebuilding Wheel" model, participants examine intervention options, their strengths and limitations, and how to choose contextually appropriate solutions.

Evidence of Demand

• Ubiquity of Conflict: Crimes and conflicts are pervasive issues affecting communities at personal, relational, structural, and cultural levels, creating a constant need for resolution skills.
• Need for Constructive Change: There is a critical need for professionals and community members who can address issues through constructive change processes rather than punitive measures.
• Sector-Wide Demand: Significant demand exists for skills in conflict analysis, nonviolent communication, and peacebuilding interventions across policing, social services, education, and community leadership sectors.

Purpose and Objectives
The purpose of this course is to familiarize participants with key concepts of conflict transformation, justice, and reconciliation. Objectives:

• Understand different conflict analysis tools (Pyramid, Onion, Conflict Tree).
• Develop essential skills for facilitating conflict resolution and reflective practice.
• Apply peacebuilding interventions using the "Peacebuilding Wheel" model.
• Examine strengths and limitations of various intervention models.

Course Content & Class Plan

• Week 1: Understanding Conflict: Theories of conflict, violence vs. conflict, community relations, and conflict transformation.
• Week 2: Tools for Conflict Analysis: Deep dive into analytical models including the Pyramid, Onion, Conflict Tree, and Timeline models.
• Week 3: Shame and Trauma: Understanding reintegrative vs. stigmatizing shame and the impact of trauma on conflict.
• Week 4: Peacebuilding Wheel: Exploration of Trauma Healing, Restorative Justice, Human Security, and Spirituality.
• Week 5: Nonviolent Communication & Active Listening: Developing emotional intelligence, empathy, and a reflective mindset.
• Week 6: Mediation and Negotiations: Theories and types of mediation and negotiation strategies.

Practical & Field Work (Experiential Learning)

• Mode of Delivery: Interactive Workshop comprising lectures, role-plays, and case studies.
• Methodology: The course relies heavily on experiential learning exercises and participatory methods.
• Class Limit: Class size is capped at 30 participants to ensure effective role-play and engagement.

Learning Outcomes

Upon completion, participants will be able to:

• Analyze conflicts using tools like the Onion and Conflict Tree models.
• Apply analytical tools to interpersonal and community case studies.
• Demonstrate reflective practice skills essential for conflict resolution.
• Design appropriate peacebuilding interventions for different conflict levels.

Target Audience

• Professionals in Policing and Justice Studies
• Community Leaders and Social Service Providers
• School Teachers, Educators, and Parents
• Youth & Outreach Workers
• Individuals interested in Social Science

Entry Requirements

• Academic: Open to all (No specific academic prerequisite mentioned).
• Interest: A strong interest in social justice and community peacebuilding.
• Age: Minimum 18 years.

Career Pathways

Completing this course supports progression into roles such as:

• Mediator / Arbitrator
• Community Outreach Coordinator
• Peacebuilding Program Officer
• Restorative Justice Facilitator
• Social Worker

Tools & Resources

• Classroom: Multimedia setup for case study videos.
• Materials: Reading materials (Fisher, Braithwaite, Rosenberg).
• Visual Aids: Whiteboard/Flipcharts for mapping conflict trees.

Assessment Criteria

• Participation & Role-Play (40%): Engagement in experiential exercises.
• Case Study Analysis (30%): Applying tools to a real-world conflict scenario.
• Reflective Journal/Quiz (30%): Understanding of core concepts.

Tentative Course Fee

• Daffodil Students: BDT 1,500
• Non-Daffodil Participants: BDT 2,500 (This is a promotional offer)

Course Overview

Techno Commercial Attributes in Food Industry

⏱ Duration: 24 Hours (Total) | Mode: Hybrid (In-person + Lab Sessions + Online)

Instructor’s :

• Maruf Muhammad Ahsanur Rahman – Asst. Manager-Sales, Orana A/S (Expertise: Food Industry Sales & Strategy)
• Dr. Md Nazmus Saqib – Asst. Professor, Dept. of Food Technology & Engg., PSTU (Expertise: Food Processing)
• Farzana Akter – Lecturer (Senior Scale), Dept. of NFE, DIU (Expertise: Food Processing)

Course Description

This course is a hands-on, hybrid micro-credential designed to bridge the gap between technical engineering and business strategy. Through real-world case studies, supply chain simulations, and strategic decision-making workshops, it transforms graduates into industry-ready leaders capable of managing both the production floor and the balance sheet.

Evidence of Demand

• Rapid Industry Growth: Bangladesh’s food industry is experiencing rapid growth due to shifting consumer behaviors and macroeconomic factors.
• Critical Skills Gap: Employers struggle to find professionals who possess both Food Processing Technology expertise and Commercial Strategy acumen.
• Need for "Hybrid Professionals": Industry leaders need professionals who can manage production efficiency while understanding market trends, supply chains, and profitability. This course is designed to fill that critical gap.

Course Objectives

This course aims to:

• Bridge the Technical-Business Gap: Connect technical engineering knowledge with business strategy in the food sector.
• Develop Decision-Making Skills: Equip participants with techno-commercial decision-making frameworks.
• Foster Resilience: Foster resilience and innovation in food business operations.
• Integrate Key Concepts: Teach the integration of supply chain, demand forecasting, and cost control.
• Prepare Leaders: Prepare graduates for leadership roles in the competitive food industry.

Course Content & Class Plan (Modules)

• Session 1: Intro to Techno-Commercial Aspects (Industry challenges).
• Sessions 2-5: Supply Chain Management (Procurement, Logistics, Value Chain).
• Session 6: Demand Analysis & Market Trends (Consumer behavior).
• Sessions 7-8: Material Management & Transportation.
• Sessions 9-10: Communication & Networking (Supplier/Regulator relations).
• Sessions 11-12: Strategic Management (Cost control, Change management).
• Session 13: Decision-Making (Risk assessment, Troubleshooting).

Practical & Field Work 

• Simulations: Usage of simulation tools for Supply Chain games.
• Lab Exercises: Hands-on lab facilities for material management exercises.
• Case Studies: Real-world case studies conducted in multimedia classrooms.
• Strategic Workshops: Strategic decision-making workshops to simulate industry scenarios.

Learning Outcomes

Upon completion, participants will be able to:

• Apply intuitive decision-making frameworks to industrial problems.
• Evaluate the commercial potential of food manufacturing processes.
• Drive competitive advancement through strategic capacity building.
• Master supply chain and material management strategies.

Target Audience

• Food Industry Job Seekers.
• Bachelor’s degree holders in Food-related fields (NFE, Food Tech, Agriculture).
• Aspiring professionals seeking industry knowledge.

Entry Requirements

• Basic understanding of food processing.
• Bachelor's degree (preferred).
• Minimum Age: 21 Years.

Career Pathways

After completing this micro-credential, learners may progress to roles such as:

• Techno-Commercial Manager: Overseeing product development with a focus on profitability.
• Supply Chain Executive: Managing procurement and logistics for food enterprises.
• Production Planner: Optimizing manufacturing processes for cost efficiency.
• Technical Sales Specialist: Selling food ingredients/machinery with deep technical knowledge.
• Food Entrepreneur: Launching and scaling a food business with strategic insight.

Tools & Resources

• Classroom: Multimedia Classroom for case studies.
• Software/Tools: Simulation tools for Supply Chain games.
• Facilities: Lab facilities for material management exercises.

Assessment Criteria

• Problem-Solving / Group Tasks: 40%
• Projects: 20%
• Final Exam: 40%

Tentative Course Fee

• Regular Fee: 2,500 /-
• Promotional Offer: 2,000 /-

Course Overview

Enterprise AI: Designing, Deploying, and Scaling AI Solutions for Business Transformation

Lead Instructor: Professor Dr. Emdad Khan (CEO, InternetSpeech Inc. USA)

Co-Instructor: Md. Ridoy Sarkar (Lecturer, Daffodil International University)

⏱ Duration: 10 Weeks | 48 Hours (Total)

Course Description

This course is designed to bridge the critical gap between technical AI skills and business value creation. Moving beyond experimental models, this program equips professionals to architect, govern, and scale AI solutions across large organizations. It focuses on integrating AI with legacy systems (ERP, CRM), ensuring compliance, and optimizing ROI for sustainable business transformation.

Evidence of Demand

With the rapid rise of AI and Digital Transformation, organizations are moving beyond experimental AI models to scalable, governed enterprise solutions. There is a critical gap for professionals who can bridge technical AI skills (Data Science, LLMs) with business value creation (ROI, Compliance, Integration). Industry demands architects who can deploy AI across supply chains, HR, and finance at scale.

Purpose and Objectives

The purpose of this course is to equip students with the skills to architect, govern, and scale AI solutions in large organizations. Objectives:

• Understand Enterprise AI architecture & Digital Twins.
• Learn to integrate AI with legacy systems (ERP, CRM).
• Master AI Governance, Security, and Compliance.
• Develop strategies for ROI optimization and scaling.

Course Content & Class Plan (Modules)

Tentative Syllabus:

• Module 1: Intro to Enterprise AI (Context & Maturity Models)
• Module 2: Generative AI & LLMs (RAG, Knowledge Assistants)
• Module 3: Enterprise Data Foundations (Data Lakes, Governance)
• Module 4: AI Solution Architecture (Cloud vs. On-Prem, Microservices)
• Module 5: Enterprise AI Use Cases & Case Studies (Finance, Health, Mfg)
• Module 6: AI & Agentic Workflow Development (Lifecycle, Feature Eng.)
• Module 7: MLOps & Model Lifecycle Management (CI/CD, Monitoring)
• Module 8: AI Integration with Enterprise Systems (ERP/CRM APIs)
• Module 9: AI Governance, Security & Compliance (Privacy, Ethics, Transparency)
• Module 10: Decision Intelligence & Analytics (Predictive vs. Prescriptive)
• Module 11: Scaling & Performance Optimization (Cost/Reliability)
• Module 12: Capstone Project (Design & Implementation)

Practical & Field Work

Note: Practical assessments constitute approximately 70% of the course grade.

• Labs & System Design: Hands-on tasks involving MLOps tools (Docker, MLflow), visualization (PowerBI/Tableau), and Python environments.
• Capstone Project: Students will design and implement a complete Enterprise AI solution, including defining the business problem, creating the architecture, and providing a live demonstration.
• Examples include: AI-Powered Academic Administration Systems, Enterprise Knowledge Assistants (RAG-based), and Predictive Analytics Dashboards.

Learning Outcomes

Upon completion, students will be able to:

• Strategize: Identify AI opportunities for business optimization.
• Architect: Design scalable Cloud/Hybrid AI systems.
• Integrate: Connect AI with enterprise apps via APIs.
• Govern: Implement security and compliance frameworks.
• Evaluate: Measure AI success via ROI and impact.
• Scale: Deploy sustainable systems using MLOps.

Target Audience

• CSE/SWE/CIS/ITM Students (3rd/4th Year)
• Data Scientists & ML Engineers
• Solution Architects & Project Managers
• Industry Professionals seeking AI leadership roles

Entry Requirements

• Minimum Age: 20 Years
• Basic Programming: Python recommended
• Foundational Knowledge: Introduction to AI/Machine Learning and fundamentals of Databases & Information Systems
• Resource Requirements: Internet/Cloud Access

Career Pathways

• Enterprise AI Architect
• AI Product Manager
• MLOps Engineer
• AI Transformation & Digital Transformation Consultant
• Chief AI Officer (CAIO) track

Tools & Resources

• Programming: Python Environment (Jupyter/Colab)
• MLOps Tools: Docker, Kubernetes, MLflow, Jenkins/GitHub Actions
• Cloud Platforms: AWS / Azure / Google Cloud (Conceptual & Hands-on)
• ML Frameworks: Scikit-learn, TensorFlow, PyTorch
• Visualization: PowerBI / Tableau

Assessment Criteria

• Case studies & assignments: 30%
• Labs & system design tasks: 30%
• Final project: 40%

Standard Course Fee: Tk 15,000/-

The following discounts currently apply:

• Daffodil Students: Tk 5,000/- (67% Discount Promotional Offer)
• Non-Daffodil Students: Tk 7,500/- 

Course Overview

QA Mastery: From Bug Hunter to Software Quality Assurance Engineer - Batch 2

Course Code: MC15011
Course Title: QA Mastery: From Bug Hunter to Software Quality Assurance Engineer
Start Date: 20 MAY, 2026 📅
Duration: 4 months (40 hours, 2 classes/week) ⏰
Mode: Hybrid (live online, recorded lectures, hands-on projects) 🌐
Class Size: 25-30 participants 👥
Course Equivalent: 2 Credit Hours
Course Fee: 5,000 BDT 💸

Course Description 🚀
QA Mastery: From Bug Hunter to Software Quality Assurance Engineer (MC15011) addresses the rising demand for skilled Software Quality Assurance (SQA) professionals in Bangladesh and globally, with companies like Therap, Samsung R&D, and Brainstation seeking expertise in tools like Selenium, JIRA, and Postman. This course equips 3rd/4th-year CSE students and fresh graduates with hands-on skills in manual and automated testing, Agile/DevOps workflows, and real-world QA projects. Through team-based assignments and industry partnerships, participants will be job-ready for roles in software testing and quality assurance. 🌟

Learning Outcomes ✅
Participants will:

• Understand SQA concepts and industry standards. 📚

• Perform manual and automated testing proficiently. 🛠️

• Apply real-world QA skills through case studies. 🖥️

• Be prepared for QA job interviews and recruitment. 💼

Target Audience 🎓\

• 3rd/4th-year students in CSE, Software Engineering, ITM, CIS.

• Fresh graduates in CSE, Software Engineering, ITM, CIS.

Entry Requirements 📋\

• Basic programming knowledge (Python/Java/JavaScript preferred).

• Understanding of software development principles.

• Minimum age: 20 years.

Career Pathways 🚀\

• Software Quality Assurance Engineer.

• Test Automation Engineer.

• DevOps & Security Testing Specialist.

• Professional Certificate in Software Quality Assurance.