Explore our comprehensive catalog of micro-credential courses designed to boost your skills and career. Flexible, industry-aligned, and recognized by employers.
⏱ Duration: 30 Hours (Total) | Weekend (Friday/Saturday)
This course aims to equip future site engineers and project managers with practical skills in structural execution supervision and comprehensive site safety management.
This course aims to:
Module 1: Structural Execution
Module 2: Site Safety & EHS
Module 3: Operational Management
Upon completion, participants will be able to:
Target Audience:
Entry Requirements:
After completing this course, learners may progress to:
Tentative Course Fee:
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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 💸
Discounted fee - 1500 BDT (Only for Computer & Programming Club Core member 2026 )
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.
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Instructor(s)
⏱ Duration: 10 Weeks | 20 Contact Hours (2 Hours per Week) | Equivalent to 1 Credit Hour Mode of Delivery: Hybrid (online + in-person sessions) Class Size: 20-25 participants
Course Description
Basics of Organic Agriculture (MC55002) addresses the global organic food market's growth to $437B by 2026 and Bangladesh's rising demand for organic products. With increasing consumer preference for sustainable produce and government support for organic farming, this course equips learners with practical skills in soil management, crop production, and certification processes. Through hands-on training and field visits, participants will contribute to sustainable food systems and tap into local/export markets.
Evidence of Demand
Course Objectives
This course aims to:
Course Content & Class Plan (Modules)
Practical & Field Work
Learning Outcomes
After completing the course, participants will be able to:
Target Audience & Requirements
Career Pathways
After completing this micro-credential, learners may:
Tools & Resources
Assessment Criteria
Financial Information
Join thousands of students already enrolled
Md. Istiak Hossain Joy, Lecturer, Department of Agricultural Science (AGS), Daffodil International University (DIU).
Dr. Shihab Uddin, Assistant Professor, Department of Soil Science, Bangladesh Agricultural University (BAU).
Atiqur Rahman, Scientific Officer, Plant Breeding Division, Bangladesh Rice Research Institute (BRRI).
⏱ Duration: 06 Weeks | 16–18 Hours (10–12 Sessions) | Mode: Online (Google Meet)
This micro-credential course equips agriculture and environmental science students with practical, workbench-level competencies in statistical data analysis, visualization using R and RStudio, academic thesis formulation, scientific report writing, and journal manuscript submission. Additionally, it provides structured coaching for agricultural research station job preparation, covering recruitment procedures, written technical assessments, and interview strategies.
Agriculture students often lack practical skills in advanced data analysis using RStudio, academic thesis writing, scientific report preparation, and journal article submission. They also have limited exposure to agricultural research station recruitment procedures, technical examinations, and interview preparation. These gaps reduce their readiness for higher education, research publication, and professional employment. Training in RStudio, data visualization, thesis composition, and job screening addresses this critical skill gap.
The course aims to equip agriculture students with practical skills in advanced data analysis using RStudio, academic thesis writing, scientific report preparation, research article submission, and agricultural research station job preparation, enhancing their research competencies and career readiness.
Specific objectives include:
Develop practical skills in statistical data analysis, interpretation, and visualization using R and RStudio.
Equip learners with standard academic thesis writing, research organization, citation, and referencing conventions.
Build competencies in scientific report writing, manuscript preparation, journal selection, and submission procedures.
Prepare candidates for agricultural research station recruitment through guidance on written exams, technical assessments, and interview dynamics.
Module 1: Introduction to Research Methodology and RStudio (2 hrs)
Module 2: Statistical Data Analysis and Visualization Using R-Studio (4–5 hrs)
Module 3: Academic Thesis Writing Guidelines (3–4 hrs)
Module 4: Scientific Report Writing & Article Submission Guidelines (2 hrs)
Module 5: Guidelines for Agricultural Research Station Job Preparation (2 hrs)
Hands-on statistical analysis routines and scripting using RStudio via interactive Google Meet lab sessions.
Data transformation, hypothesis testing, model interpretation, and graphic generation/data visualization exercises.
Practical assignments structuring academic thesis chapters and reference lists.
Manuscript drafting workshop: scientific report composition and mock journal submission workflows based on selected research topics.
After completing the course, participants will be able to:
Conduct statistical data analysis and data visualization using R and RStudio.
Prepare academic theses following standard writing, structuring, and referencing guidelines.
Write scientific reports and research articles and navigate formal journal submission procedures.
Apply strategic guidelines for agricultural research station recruitment examinations and interviews.
Target Audience:
Undergraduate students in Agricultural Science or Environmental Science.
MS students and early-career scientists working in agricultural research sectors.
Entry Requirements:
Background in Agricultural Science, Environmental Science, Soil Science, Genetics, or related biological disciplines.
Basic computer literacy and fundamental knowledge of agricultural concepts.
Access to a computer/laptop with R and RStudio installed and a stable internet connection.
Minimum Age: 18 Years.
After completing this micro-credential, learners may:
Work as Agricultural Research Assistant, Young/Undergraduate Researcher, or Quality Control Analyst (Agri-Tech).
Successfully compete in recruitment examinations for national agricultural research stations (e.g., BRRI, BARI, BINA).
Progress to Advanced Micro-Credentials, postgraduate higher studies (MS/PhD), or international research fellowships.
Software & Digital Tools: R and RStudio software environment, Google Meet for live practical sessions.
Facilities & Hardware: Personal computer or laptop with active internet connectivity.
Learning Materials: Lecture slides, code scripts, demo agricultural datasets, thesis formatting guidelines, and job preparation briefs.
Aligned with Outcome-Based Education (OBE) frameworks:
Practical Assignments (R-Studio Data Analysis & Visualization – LO1): 60%
Report Writing Project based on Research Topic (Thesis & Article Writing – LO2 & LO3): 40% (Recommended Benchmarks: Minimum 80% attendance, minimum 60% pass score)
Tentative Course Fee: BDT 1500/-
Class Size: 30 to 60 participants (Maximum 60 per operational batch)
Certification: Micro-Credential Certificate issued by DIU Micro-Credentials Academy upon successful assessment completion
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Lead Instructor / Course Designer: Engineer M. M. Obayed Quader Sultan — CEO, Proxima Soft; AI Business Consultant (Profile: https://apusultan.com)
2nd Instructor: Mr. Sadman Sharif — Lecturer, Department of Innovation & Entrepreneurship, DIU
Qualifications: B.Sc. in CIS; AI Integration Specialist; Academic Faculty in Entrepreneurship
Experience: 24+ years industry, 20+ years training
Expertise: AI Workflows, Digital Entrepreneurship, E-Commerce Strategy, Prompt Engineering
⏱ Duration: 5 Weeks | 15 Contact Hours (3 Hours per Week, 5 Classes) | Mode: Hybrid
This micro-credential course equips beginners and existing small business owners with the foundational skills to run a Facebook-based online business, while integrating practical AI tools (ChatGPT and prompting techniques) to automate marketing, business profile setup, customer communication, and sales workflows. Delivered in hybrid mode over five 3-hour sessions, it combines lectures, hands-on workshops, case studies, and a capstone project in which each participant produces a ready-to-use AI Business Output Pack for their own business idea.
There is rising interest among small entrepreneurs and beginners in launching Facebook-based online businesses, coupled with challenges in core business operations and a growing need for practical AI adoption in marketing, content creation, and customer communication.
Industry consultation, surveys, job-market analysis, partner recommendation, and existing demand data all point to high market demand for low-cost, AI-driven automation tools among online micro-entrepreneurs seeking to reduce operational overhead and scale social media sales.
Industry Expert / Partner: Engineer M. M. Obayed Quader Sultan (CEO, Proxima Soft & AI Business Consultant) in collaboration with Mr. Sadman Sharif (Lecturer, Department of Innovation & Entrepreneurship, DIU).
This course aims to:
Equip participants with foundational management skills to run a Facebook-based business
Introduce practical AI tools (ChatGPT) and prompting techniques to streamline marketing, content creation, and overall business workflows
Enable participants to automate business profile setup, customer communication, and sales workflows using AI
Guide participants to build a repeatable AI workflow and a complete AI Business Output Pack for their own business
Module 1 – Day 1: Business Foundation + Customer (3 hrs)
Practical: Customer persona mapping & matching product solutions to customer problems.
Module 2 – Day 2: Offer + Branding + Marketing + Sales + Operations (3 hrs)
Practical: Structuring a business offer, sales funnel layout, and mapping operational workflows.
Module 3 – Day 3: AI for Business + Prompting (3 hrs)
Practical: Hands-on AI prompting practice, identifying AI insertion points, and responsible AI use (fact-checking, avoiding misleading content, data privacy).
Module 4 – Day 4: Business Profile + Marketing with AI (3 hrs)
Practical: Building an AI-ready profile, generating content using AI, message/comment automation for customer service, and creating visuals without manual prompting.
Module 5 – Day 5: AI Workflow + Final Output + Recap & Final Challenge (3 hrs)
Practical: Assembling a repeatable AI workflow, presenting the final AI Business Output Pack, plus basics of reading Facebook insights and scaling.
TEvery session pairs a short concept briefing with hands-on work; roughly 9 of the 15 contact hours are practical:
Customer persona mapping and problem–solution matching (Day 1)
Offer structuring, sales funnel layout, and operations workflow mapping (Day 2)
Live AI prompting practice on real business tasks (Day 3)
AI-ready business profile build, AI content generation, and comment/message automation setup (Day 4)
Capstone: assembling a repeatable AI workflow and presenting a complete AI Business Output Pack (Day 5)
Delivery methods: Lecture | Hands-on | Workshop | Case Study | Project
After completing the course, participants will be able to:
Understand Facebook-based business operations, identify target customer personas, match problem–solutions, and build simple business workflows
Write effective AI prompts and utilise ChatGPT to generate marketing content, offers, copy, captions, and customer communications
Create an AI-ready business profile and establish repeatable AI workflows for daily business operations
Produce a complete, ready-to-use AI Business Output Pack for their own business idea
Starters and aspiring entrepreneurs
Existing small business owners
Individuals interested in starting or growing a Facebook-based online business
Open to beginners — no prior AI or technical background required
Basic familiarity with Facebook and smartphone/computer use
Access to an internet-connected device (laptop or smartphone)
An existing Facebook page or a business idea is an advantage but not mandatory
Relevant job roles:
Facebook E-commerce Entrepreneur
Small Business Owner
AI-Powered Digital Marketer
Freelance Social Media Manager
Progression: Advanced Micro-Credential courses; launching or scaling one's own entrepreneurial venture
Facebook Business tools
ChatGPT and AI prompting
Business profile templates; workflow / output pack templates
Internet-connected devices
AI Toolbox subscription (per participant):
Regular Intro Pack — BDT 1,500 (BDT 1,000 one-month subscription + BDT 500 credit balance)
Offer Intro Pack — BDT 600 (BDT 300 one-month subscription + BDT 300 credit balance); offer rate valid for the next 6 months
Resource availability: Available at DIU
Methods: Quiz | Assignment | Project | Practical | Presentation
Daily class participation & workflow assignments (LO1) – 30%
Practical AI prompting & marketing content assignments (LO2 & LO3) – 30%
Day 5 capstone: AI Business Output Pack submission & presentation (LO4) – 40%
Minimum attendance: 80% | Minimum pass score: 60%
Tentative Course Fee: BDT 3,000 only
Class Size: Maximum 20–30 participants
Certification: Micro-Credential Certificate issued by DIU-MCA upon completing assessment requirements
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Mohammad Mustafizur Rahman, Assistant Professor, Department of English, Daffodil International University.
Sakiba Binte Yusuf, PhD Research Fellow, School of International Studies, Zhengzhou University, Henan, China.
⏱ Duration: 12 Hours (12 Classes × 60 Minutes) | Mode: Online
This beginner-friendly, hands-on micro-credential course is designed to help participants understand and practice the complete research paper writing process in a clear, practical, and academically responsible manner. Moving beyond pure theory, the course uses a running demo study, guided worksheets, classroom activities, peer review, and instructor feedback to walk learners through formulating research questions to preparing a publishable manuscript or comprehensive research-paper blueprint.
Research paper writing has become an essential academic and professional competency for university students, postgraduates, scholarship applicants, and early-career academics who must prepare theses, conference papers, and evidence-based reports. Beginners and non-native English-speaking learners often understand their subject matter but struggle with structuring topics, synthesizing literature, applying methodologies, adopting APA 7 conventions, avoiding plagiarism, and responsibly leveraging AI tools while preserving academic integrity. This course directly bridges these workbench-level writing and publication gaps.
This course aims to:
Help learners understand the importance and role of research in academia and industry.
Guide learners to identify focused, ethical topics and develop effective titles, problem statements, and research questions.
Teach systematic methods to search, evaluate, synthesize, and cite scholarly literature using APA 7.
Clarify core research designs, sampling strategies, data-collection procedures, analysis techniques, and research ethics.
Guide section-by-section drafting of academic papers from Abstract to Appendices.
Promote responsible, integrity-first use of AI tools and verification of genuine vs. fabricated evidence.
Enable participants to produce an actionable mini research paper or research blueprint.
Class 1: Why Research Matters – University study, higher education, real-life problem-solving, and intro to the running demo paper.
Class 2: Structure of a Research Paper – Title, Abstract, Keywords, IMRAD structure, References, and Appendices.
Class 3: Choosing a Research Topic and Title – Novelty, researchability, research gaps, working vs. publication-style titles.
Class 4: Writing the Introduction – Context, problem statement, research gap, objectives, research questions, and significance.
Class 5: Writing the Literature Review – Finding credible sources, synthesizing, identifying gaps, and conceptual frameworks.
Class 6: Writing the Methodology – Research design, population/sample, sampling, instruments, reliability/validity, and ethics.
Class 7: Writing the Results/Findings – Organizing quantitative and qualitative findings, tables, percentages, themes, and evidence.
Class 8: Writing the Discussion – Interpreting findings, linking to research questions/literature, and explaining implications.
Class 9: Writing the Conclusion, Recommendations, Limitations, and Future Research.
Class 10: APA 7 In-text Citations and References – Paraphrasing, reference lists, DOIs, URLs, and plagiarism avoidance.
Class 11: Writing the Abstract, Keywords, Appendices, and Final Paper Assembly – Academic consistency and presentation.
Class 12: From Draft to Research Ready – Editing, proofreading, responsible AI use, peer review, and final presentation.
Topic Formulation & Problem Statement Sprints: Transforming raw ideas into viable titles, research gaps, and research questions.
Literature Search & Citation Labs: Live database retrieval exercises in Google Scholar, reference synthesis, and APA 7 list building.
Methodology & Data Interpretation Workshops: Designing sample parameters, building basic results tables, and drafting discussion sections.
Peer Review & Capstone Blueprint Formulation: Evaluating draft sections against research integrity standards, validating AI outputs, and finalizing the mini research-paper submission.
After completing the course, participants will be able to:
Explain the standard structure and basic principles of an academic research paper.
Convert broad interests into focused, researchable topics with clear objectives and research questions.
Locate, evaluate, and synthesize scholarly literature into a coherent literature review.
Select appropriate research designs and articulate sampling, instruments, analysis, and ethical safeguards.
Present quantitative/qualitative findings using structured tables, themes, and evidence.
Interpret results logically against previous literature and research questions.
Write effective conclusions, recommendations, limitations, and future research avenues.
Apply APA 7 citation, referencing, and academic formatting standards accurately.
Identify plagiarism, fabricated citations, invented data, and ethical integrity violations.
Utilize generative AI tools responsibly without compromising academic authorship.
Prepare and present a structured mini research paper or publishable blueprint.
Undergraduate students across all disciplines.
Final-year students preparing projects, theses, or research assignments.
Fresh graduates preparing postgraduate applications or scholarship submissions.
Master's and beginning postgraduate students.
Early-career researchers, academics, and professionals writing evidence-based reports.
Non-native English speakers seeking a structured foundation in academic writing.
Minimum Higher Secondary Certificate (HSC) or equivalent.
Basic English reading and writing proficiency.
Basic computer literacy and internet navigation skills.
Access to a laptop/computer for writing practicums.
Minimum Age: 18 Years.
Prior publication experience is not required.
After completing this micro-credential, learners may:
Produce undergraduate and postgraduate theses or capstone project papers.
Prepare abstracts, posters, and full papers for academic conferences.
Submit stronger writing samples for international scholarships and master's/PhD admissions.
Advance to specialized training in systematic reviews, advanced quantitative/qualitative methodologies, or journal manuscript preparation.
Enhance analytical reporting skills for careers in academia, think tanks, NGOs, policy institutes, and development organizations.
Software & Digital Platforms: Microsoft Word (or equivalent word processor), Google Scholar, and academic database platforms.
Delivery Infrastructure: Online meeting and presentation software with stable internet connectivity.
Learning Materials: Course handbook, lecture notes, running demo research paper, practical worksheets, and APA 7 quick-reference guides.
Final Mini Research Paper / Research Blueprint – 25%
Topic, Title, Problem, and Research-Question Task – 15%
Literature Review and APA 7 Citation Task – 15%
Methodology Planning Task – 15%
Results / Discussion Interpretation Exercise – 15%
Class Participation and Guided Activities – 10%
Final Presentation / Viva – 5% (Passing Requirement: Minimum 40% overall score with satisfactory attendance per MCA policy)
Tentative Course Fee: BDT 1,000 only
Class Size: Maximum 20–30 participants
Certification: Micro-Credential Certificate issued by DIU-MCA upon completing assessment requirements
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Join thousands of students already enrolled
⏱ Duration: 21 Hours. | Mode of Delivery: In-person
Instructor(s)
Course Description
This professional course is designed to equip learners with the core research skills and the technical foundation in Python, Machine Learning, and Deep Learning required to begin a publishable research project. The course is structured in a natural research flow: learners first build the research foundation, then immediately learn the data analysis tools, and finally come back to the writing and publication preparation steps.
Evidence of Demand
Purpose and Objectives
Course Content & Class Plan (Modules)
Practical & Field Work
Learning Outcomes
Upon completion, participants will be able to:
Target Audience & Requirements
Career Pathways
Tools & Resources
Assessment Criteria
Financial Information
Join thousands of students already enrolled
Md. Habibur Rahman: BSc in Food Engineering and Tea Technology (SUST, Sylhet)
MSc in Nutrition and Food Science (University of South Asia, Banani, Dhaka)
MBA in Supply Chain Management (BUP, Mirpur Cantonment, Dhaka)
About 12 years of experience in the tea industry (MM Ispahani Tea Ltd., BRAC
Tea Estates Ltd., City Group Tea Estates Ltd., ACME Consumer Products Ltd. -
Tea & beverage Unit, Kazi & Kazi Tea estate Ltd.)
Dr. Atiqual Islam: Assistant Professor & Associate Head, Daffodil International University
PhD and Postdoc – South Korea
(Analytical chemistry, Chromatographic method development)
Profile: https://faculty.daffodilvarsity.edu.bd/profile/nfe/atiqual.html
Dr. Md. Al Mamunur Rashid: Assistant Professor, Daffodil International University
PhD and Postdoc – South Korea
(Food Chemistry, Nutrition, Computational Chemistry, Polymerization)
Profile: https://faculty.daffodilvarsity.edu.bd/profile/nfe/mamunur.html
Md. Monirujjaman: Lecturer (Senior Scale), Daffodil International University
B.Sc. & M.S in Food Engineering (Food Engineering, Bioactive Compound Extraction, Sustainable Food
Processing)
Profile: https://faculty.daffodilvarsity.edu.bd/profile/nfe/monirujjaman.html
Duration: 16 Hours
Delivery Mode: Blended: In-person and online, site visit | Class Size: 20
This course integrates industry-based knowledge with academic learning, offering practical insights into tea manufacturing, quality management, and product innovation.
It is designed to bridge the gap between academic knowledge and practical industry requirements, supporting entrepreneurship and value-added tea businesses.
The global tea industry is rapidly evolving with increasing demand for premium, specialty, and functional tea products. As a key tea-producing country, Bangladesh has strong potential in both domestic and export markets, yet faces a shortage of skilled professionals in tea processing, quality assurance, and value addition. At the same time, a gap persists between academic knowledge and practical industry requirements, limiting employability and productivity.
This micro-credential course aims to bridge that gap by integrating industry-based knowledge with academic learning, offering practical insights into tea manufacturing, quality management, and product innovation. It will also support entrepreneurship and value-added tea businesses. By developing industry-ready skills, the course will enhance competitiveness, promote sustainable practices, and contribute to the overall growth of the tea sector.
Specific: Enable learners to understand and apply modern tea processing techniques, including withering, rolling, fermentation, drying, and packaging.
Measurable: Ensure learners can perform quality assessment and tea tasting for at least three types of tea and evaluate their quality using industry standards.
Achievable: Equip learners with practical skills in tea blending, cost control, and inventory management through hands-on exercises and case studies.
Relevant: Prepare learners for employment or entrepreneurship in tea estates, beverage industries, and tea-based businesses by providing industry-relevant knowledge.
Time-bound: By the end of the course, learners will demonstrate proficiency in tea production operations, quality assurance practices, and value-added product development through assessments and practical projects.
Introduction to the tea industry, course guidelines, global and Bangladesh tea sector overview, Q/A
Tea plant, cultivation practices, plucking methods, types of tea (black, green, oolong, white), Q/A
Withering process, rolling and CTC method, fermentation (oxidation) principles, processing parameters
Drying and firing techniques, grading and sorting, packaging methods, storage conditions
Tea quality parameters, liquor characteristics, aroma and flavor, tea tasting techniques, sensory evaluation
Chemical composition of tea, quality indicators, basic laboratory analysis, Q/A
Tea blending techniques, specialty and functional tea, product development concepts
Industrial tea processing workflow, factory operations, cost control, inventory management
Quality assurance systems (GMP, HACCP basics), hygiene and safety in tea industry
Tea business opportunities, branding and marketing strategies, export potential and regulations
Case study on tea processing and quality control, problem-solving session
Tea tasting session (minimum three types), practical evaluation and data recording
Development of value-added tea product, group project work, presentation
Industry visit (tea factory) / virtual tour, observation and report preparation
Final assessment: practical, project presentation, viva
They will learn to
Demonstrate tea processing techniques (withering, rolling, fermentation, drying) through practical application
Evaluate tea quality using standard sensory parameters (color, aroma, flavor, liquor) for at least three tea types
Apply basic quality control and safety principles (GMP, HACCP) in tea production
Develop a value-added tea product and perform basic blending
Analyze tea processing operations and prepare a brief technical or business report
Students (graduate/undergraduate) of Food Technology, Food Engineering, Chemistry, Food and Nutrition, professionals, and entrepreneurs.
Higher studies in Food Engineering, Food Technology, Nutrition, or Beverage Science
Entry- to mid-level roles in the tea and beverage industries (processing, quality control, production)
Internship and industrial training in tea estates and tea processing factories
Career as a sensory evaluator or tea quality analyst
Entrepreneurship in tea-based businesses (tea blending, specialty tea, tea cafés, value-added products
Tea processing equipment
Sensory evaluation setup
Basic lab facilities
Classroom & multimedia support
Learning materials & LMS
Industry visit/virtual tour
Safety and hygiene items
Quizzes,
Project work
Report writing
Viva
Awarded a Certificate of Completion by the DIU Micro-Credentials Academy.
Tentative Course Fee: 2,500 BDT
Join thousands of students already enrolled
Instructor(s):
Md. Shahadoth Hossain | Lecturer, Department of Nutrition and Food Engineering, Daffodil International University
Md. Sakhawot Hossain | Lecturer, Department of Nutrition and Food Engineering, Daffodil International University
Tasniya Akter | Lecturer, Department of Nutrition and Food Engineering, Daffodil International University
Md. Hafizul Islam | Industry Expert & Research Associate, Center for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University
Duration: 21 Hours
Delivery Mode: Online / In-person / Blended
Course Description
This micro-credential equips learners with applied competencies that are highly valued in academic research, public health programs, and evidence-informed policymaking. It addresses current skill gaps by providing hands-on training across the complete research process, bridging the gap from study design and data analysis to scientific writing and publication.
Evidence of Demand
There is a growing demand for professionals with practical research skills in public health nutrition as Bangladesh and the South Asian region continue to address undernutrition, micronutrient deficiencies, and the rising burden of non-communicable diseases. Universities, research institutes, NGOs, and development partners increasingly seek graduates and early-career professionals who can design studies, analyze data, and communicate findings through scientific publications. However, undergraduate programs often provide limited hands-on training across this complete research process.
Course Objectives
This course aims to equip learners with the full research pipeline in public health nutrition, from study design through to scientific publication and dissemination.
Course Content & Class Plan (Modules)
Module 1: Introduction to Public Health Nutrition Research Role of research in public health nutrition, identifying research gaps, research questions and hypotheses, and conceptual/theoretical frameworks.
Module 2: Study Design and Research Methodology Quantitative, qualitative, and mixed-methods research; observational, experimental, and quasi-experimental studies; implementation and operational research; conducting systematic reviews and meta-analysis.
Module 3: Sampling and Data Collection Sampling strategies, sample size determination, questionnaire development, dietary assessment methods, anthropometry and biomarkers, digital data collection tools, and acquisition of secondary data.
Module 4: Nutritional Epidemiology and Interpretation Nutrition and health indicators (women's, child, and population health), food security and diet quality, interpreting epidemiological findings, and translating research evidence into policy and practice.
Module 5: Scientific Writing and Reporting Guidelines Writing each section of a scientific paper, reporting guidelines (STROBE, CONSORT, PRISMA, RECORD), reference management (Zotero, Mendeley, EndNote), and ethical reporting/plagiarism prevention.
Module 6: Data Management and Statistical Analysis Data cleaning and management, handling missing data, descriptive and inferential statistics, regression analysis/adjusting for confounders, statistical software (R, Stata, SPSS), and interpreting/presenting results.
Module 7: Journal Selection, Manuscript Formatting, and Submission Selecting an appropriate journal, formatting manuscripts, writing cover letters, graphical abstract preparation, online manuscript submission systems, and navigating the peer-review process.
Module 8: Research Ethics, Grant Writing, and Research Dissemination Research ethics and IRB approval, informed consent, grant proposal development/budget preparation, and research communication (conference presentations and policy briefs).
Practical & Field Work
Drafting a functional research protocol and ethics application summary.
Developing a data analysis plan and presenting results using a sample dataset.
Preparing a publication-ready manuscript (or substantial draft) alongside a cover letter and journal selection rationale.
Learning Outcomes
After completing the course, participants will be able to:
Explain the role of research in advancing public health nutrition; identify research gaps and formulate clear research questions and hypotheses.
Distinguish between quantitative, qualitative, and mixed-methods approaches; select an appropriate study design.
Choose suitable sampling strategies, calculate sample size, and develop/pilot data collection instruments.
Select and interpret nutrition and health indicators to assess nutritional status, diet quality, food security, and population health.
Write each section of a scientific paper following reporting guidelines (STROBE, CONSORT, PRISMA, RECORD).
Clean, code, and manage a research dataset; apply descriptive/inferential statistics and regression analysis using R/Stata/SPSS.
Prepare a publication-ready manuscript, select an appropriate journal, and navigate submission and peer review.
Obtain ethics/IRB approval, develop a grant proposal, and communicate research through presentations and policy briefs.
Target Audience & Requirements
Target Audience: Undergraduate students.
Entry Requirements: A basic knowledge of nutrition, public health, and statistics is required as a prerequisite.
Minimum Age: 18 years or above.
Career Pathways
Academic Progression: Supports undergraduate and postgraduate research in Nutrition, Public Health, Epidemiology, and related disciplines. Provides a strong foundation for Master's and PhD programs requiring research and scientific writing skills. Facilitates progression to advanced research-focused micro-credentials.
Professional Progression: Prepares learners for research assistant, research associate, monitoring and evaluation, and data analyst roles in universities, research institutes, NGOs, and development organizations. Enhances competitiveness for research fellowships, graduate admissions, and funded research opportunities.
Tools & Resources
Laptop, Projector, White board & Marker pen.
Assessment Criteria
Research protocol – 15%
Ethics application summary – 10%
Data analysis plan – 15%
Results presentation (using a sample dataset) – 20%
A publication-ready manuscript (or a substantial draft) – 30%
Cover letter and journal selection rationale – 10%
Certification
Awarded a Certificate of Completion by the DIU Micro-Credentials Academy, recognizing competency in public health nutrition research methods and scientific communication.
Financial Information
Tentative Course Fee: 3,500 BDT
Join thousands of students already enrolled
Lead Instructors:
Zannatul Ferdoush (Senior Lecturer, Department of Nutrition and Food Engineering, DIU)
Juwel Rana (Assistant Professor, Department of Nutrition and Food Engineering, DIU)
Dr. Nizam Uddin (Associate Professor and Head, Department of Nutrition and Food Engineering, DIU)
Guest Instructor:
Zoheb Hasan Fahad (Scientific Officer, Bangladesh Agricultural Research Institute)
⏱ Duration: 3 Days (21 hours total, 7 hours per day) | Blended (Online + In-Person Practical Workshop)
Course Description
This course bridges the gap between food innovation, research, and academic publishing by teaching learners how to convert practical food product development into structured research articles.
Evidence of Demand
The food sector has experienced rapid expansion driven by consumer demand for safe, nutritious, sustainable, and innovative food products. At the same time, research institutions emphasize applied research outputs, yet a significant gap exists: many students and industry professionals lack the skills to convert practical product work into structured research articles suitable for publication.
Purpose and Objectives
The purpose of this course is to equip learners with the ability to convert product development processes into structured research frameworks. Objectives include:
Understand the relationship between food product development and research publication.
Apply appropriate research methodologies in food product development studies.
Analyze and interpret data from food product testing and evaluation.
Convert product development processes into structured research frameworks.
Develop well-organized research articles based on product innovation projects.
Apply academic writing standards, including referencing and journal formatting.
Course Content & Class Plan (Modules)
Tentative Syllabus:
Module 1: Introduction to Food Product Development and Research
Module 2: Research Methodology for Product-Based Studies
Module 3: Chemical and Quality Analysis of Innovative Food Products
Module 4: Sensory Evaluation of Food Products
Module 5: Data Analysis and Interpretation
Module 6: Academic Writing and Publication
Module 7: Capstone Project
Practical & Field Work
Practical Project: Hands-on development of food products (accounts for 30% of the final grade).
Laboratory Work: Utilizing chemical analysis facilities for proximate analysis (moisture, ash, protein, fat, fiber) and engaging in sensory testing methods like hedonic scaling and ranking.
Capstone Project: The development of a food product-based research paper integrating proximate analysis, sensory evaluation, and demand evidence, culminating in manuscript preparation and presentation.
Learning Outcomes
Upon completion, students will be able to:
Explain the relationship between food product development and academic research publication.
Conduct proximate analysis (moisture, ash, protein, fat, fiber, carbohydrate) for innovative food products.
Perform sensory evaluation using appropriate methods.
Design research studies based on food product development processes.
Collect and analyze data from chemical, sensory, and consumer-based studies using appropriate techniques.
Interpret and integrate experimental results into coherent research findings.
Develop a structured research article based on food product innovation.
Apply academic writing and referencing skills for publication.
Prepare and present a complete product-based research manuscript.
Target Audience
Undergraduate students in Food Science and Technology, Nutrition, Engineering, Biotechnology, Innovation & Entrepreneurship and related fields.
Postgraduate students (MSc) working on food product development or applied research projects.
Diploma in Food Technology students.
Entry Requirements
Minimum Age: 18 years and above.
Qualifications: Enrollment in or completion of a Bachelor's degree in Food Science and Technology, Nutrition, Biotechnology, Agriculture, Chemistry, or related fields.
Career Pathways
This course supports career advancement into roles such as:
Food Product Development Scientist
Research and Development (R&D) Officer
Quality Assurance / Quality Control Specialist
Food Laboratory Analyst
Tools & Resources
Laboratory Facilities: Well-equipped Food Science Laboratory for product development and analysis, basic food processing equipment, chemical analysis facilities, glassware, and safety equipment.
ICT and Software Resources: Computers or laptops with internet access and statistical software (e.g., SPSS, Excel) for data analysis.
Academic Resources: Textbooks and reference materials in Food Science, Food Chemistry, and Product Development.
Assessment Criteria
Daily Quizzes & Assignments: 40%
Practical Project (Development of Products): 30%
Final Exam (Comprehensive analytical test covering all modules): 30%
Standard Course Fee
Base Fee: BDT 1500
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Uswatun Hasana Hashi : Assistant Professor, Department of Agricultural Science, Faculty of Agriculture Science, Daffodil International University
Duration: 2 weeks
Mode of Delivery: Blended learning
This course is designed to equip undergraduate and graduate students from agricultural and non-agriculture backgrounds with practical skills in designing, implementing, and managing field-based agronomic experiments. The course covers experimental layout, sampling protocols, use of field instruments, data collection, quality assurance, and preliminary data analysis to support evidence-based agricultural decision-making.
There is an increasing need for skilled field technicians in agricultural R&D. There is strong demand from public research institutes, private seed/agrochemical companies, and NGOs for professionals capable of data-driven crop management.
This course aims to:
Teach practical skills in designing, implementing, and managing field-based agronomic experiments.
Train participants in experimental layout and sampling protocols.
Familiarize learners with the use of field instruments and proper data collection methods.
Provide foundational knowledge in data quality assurance and preliminary data analysis to support evidence-based agricultural decision-making.
Module 1: Principles of Experimental Design (RCBD, Split-Plot, Factorial Designs)
Module 2: Field Plot Techniques (Land preparation, plot demarcation, treatment application)
Module 3: Sampling Methods (Plant sample, Soil, plant tissue, pest/disease, and yield sampling)
Module 4: Field Instrumentation (Use of different instruments used in agronomic research, soil probes, moisture meters, different sensors, etc.)
Module 5: Data Collection Protocols (Paper-based vs. electronic data capture, field notebooks)
Module 6: Data Quality Assurance
Module 7: Explanation of Statistical Analysis (ANOVA, mean separation, interpretation)
Module 8: Report Writing and Presentation of Field Results.
The course utilizes a blended delivery mode, with 60% of the training consisting of in-person field practical sessions at designated research farms.
Practical elements include field assignments for layout and sampling, as well as compiling a Field Data Collection Portfolio with quality checks.
After completing the course, participants will be able to:
Design and lay out a statistically sound field experiment.
Apply proper sampling techniques for soil, crops, and pests.
Operate standard field data collection instruments and sensors.
Collect, record, and manage field data with accuracy and integrity.
Perform basic statistical analysis and interpret experimental results.
Prepare a professional technical report on field research findings.
Target Audience:
Undergraduate and graduate students from agricultural and non-agriculture backgrounds.
Early-career agronomists, agricultural extension officers, and research assistants.
Graduate students in crop science and field technicians working in agricultural research stations or commercial farming operations.
Entry Requirements:
A diploma or currently studying Undergraduate in Agriculture, Agronomy, Crop Science, Soil Science, or a related field.
Minimum age of 18 years.
Facilities & Locations: Access to experimental field plots.
Instruments: Field instruments including lux meters, LAI, soil augers, moisture meters, GPS units, weighing scales, and canopy sensors.
Technology: Laptops/tablets with spreadsheet software (MS Excel, R, or SPSS) and internet access for online modules.
Materials: Printed field notebooks and data sheets.
After completing this micro-credential, learners may:
Proceed to advanced courses in Experimental Design and Data Analysis in Agronomy, Applied Field Research (Design, Data Management, Analysis and Reporting), or Advanced Agricultural Research Methods.
Use this credential as a foundation for pursuing a Master's degree in Agronomy or Plant Sciences.
Practical Field Assignment (Layout & sampling) – 30%
Field Data Collection Portfolio (with quality checks) – 30%
Final Data Analysis Report (using real field data) – 30%
Online Quiz (Theory & design principles) – 10% (Note: A pass mark of 60% is required out of the total 100%).
Achieving the pass mark of 60% across the practical and theoretical assessments qualifies the participant for course completion.
Tentative Course Fee: 1500 BDT
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Dr. Nizam Uddin : Associate Professor and Head, Department of Nutrition and Food Engineering, DIU
Rifat Khan Tushar : Founder & CEO, Water and Plant.
Md. Naimur Rahman : Lecturer, Department of Nutrition and Food Engineering, DIU
⏱ Duration: 20 Hours | Mode of Delivery: Blended Learning (Interactive Lectures + Applied Laboratory Demonstrations + Practical Culinary/Cultivation Workshops)
This comprehensive 20-hour course provides participants with practical knowledge and hands-on skills in sustainable microgreen production, post-harvest management, nutritional profiling, and microgreen-enriched food product development. It is designed to empower learners to formulate functional foods and construct viable commercial models tailored to urban agriculture ecosystems.
Rapidly expanding global wellness and culinary market projections highlight an increasing reliance on nutrient-dense functional foods. Urban populations, particularly in rapidly densifying cities like Dhaka, face spatial limits for traditional cultivation, driving high demand for microgreen indoor agriculture, vertical farming solutions, and specialized knowledge in commercial post-harvest packaging.
Purpose: To provide participants with practical knowledge and hands-on skills in sustainable microgreen production, post-harvest management, nutritional profiling, and microgreen-enriched food product development.
Differentiate microgreens from sprouts and baby greens based on developmental stages and growth parameters.
Master environmental media preparation, substrate selection, and seed density setups.
Formulate, execute, and evaluate functional food applications (salads, smoothies, enriched bakery items).
Construct a viable commercial model tailored to microgreen urban agriculture ecosystems.
Module 1: Introduction to Microgreens (3 Hours): Taxonomy, definition boundaries, sustainable food value chains, global market trends, and practical identification of common species.
Module 2: Microgreen Production Techniques (5 Hours): Seed selection protocols, substrates, watering schedules, light/temperature management, and practical production tray setups.
Module 3: Harvesting & Post-Harvest Management (3 Hours): Identification of maturity indicators, sanitation loops, packaging configurations, shelf-life extension methods, and structural laboratory report formulation.
Module 4: Nutritional and Functional Properties (3 Hours): Evaluation of phytochemicals, anti-inflammatory properties, comparative analysis with mature plants, and diagnostic literature review exercises.
Module 5: Food Applications of Microgreens (4 Hours): Functional food synthesis, incorporation into ready-to-eat products, sensory panel analysis, and a food product development workshop.
Module 6: Entrepreneurship & Commercial Production (2 Hours): Cost-benefit analysis, vertical urban farming scaling, local market branding, and business model canvas formulation.
Cultivation: Practical production tray setups, seedling sowing, watering, and disease management.
Harvest & Post-Harvest: Identifying maturity indicators and executing packaging and shelf-life extension methods.
Culinary Workshop: Formulating and testing microgreen-enriched functional foods (salads, smoothies) using systematic sensory standards.
Business Planning: Designing scalable urban farming business strategies and mapping budget layouts.
Upon successful completion, learners will be able to:
Distinguish suitable microgreen seed varieties, select growing media, and control target environment variables.
Demonstrate practical seedling sowing, watering, disease management, and harvesting procedures.
Formulate and test a microgreen-enriched functional food product using systematic sensory standards.
Design a scalable, resource-efficient urban farming business strategy mapping budget layouts and revenue lines.
Target Audience:
Students of Nutrition, Food Engineering, Agriculture, Food Science, Public Health.
Commercial entrepreneurs, urban planners, home gardeners, and hospitality or food industry processing professionals.
Basic computer literacy and fundamental understanding of basic biological or health sciences.
Open to beginners; no prior farming or advanced culinary certification required.
Minimum Age: 18 Years.
Earns 1 Credit Hour within the DIU-MCA framework.
Establishes the foundational technical skills required for direct pathways into higher-tier programmatic specializations such as Advanced Controlled Environment Agriculture (CEA), Commercial Hydroponic System Design, or Functional Food Enterprise Management.
Fully mapped to an Outcome-Based Education (OBE) scheme:
Functional Product Development Project: 20%
Hands-On Lab Work & Cultivation Maintenance Tasks: 20%
Business Plan Group Presentation: 15%
Final Technical Viva Voce Defense: 15%
Objective Module Quizzes: 10%
Conceptual Assignments & Research Tasks: 10%
Comprehensive Post-Harvest Laboratory Report: 10%
Climate-controlled training lab, specialized seedling trays, growing substrates (Cocopeat/biodegradable mats).
Optimized growth lighting grids, clean seed banks, food preparation facility tools.
Access to the DIU Learning Management System (LMS).
Class Size: Maximum 25-30 participants per operational batch.
Tentative Course Fee: 2,500 BDT (DIU Students/Alumni/Agriculture and Nutrition Research Members) | 4,500 BDT (External Candidates/Entrepreneurs).
Certification: Micro-credential professional certification (1 Credit Hour equivalent) issued upon successful completion.
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⏱ Duration: 16 Contact Hours (2 hours per Session) | Mode: offline
The micro-credential course “Data Analysis with SPSS (Basic to Intermediate)” is designed to develop students’ fundamental skills in data management, statistical analysis, and interpretation using SPSS software. The course aims to help learners conduct academic and research-based data analysis efficiently and accurately, enabling them to perform evidence-based research, prepare research reports, and enhance their academic and professional competencies in various fields such as Nutrition, Public Health, Business, and Social Sciences.
Upon completion of this course, participants will be able to:
After completing the course, participants will be able to:
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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.
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
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
After completing the course, participants will be able to:
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
After completing this micro-credential, learners may:
Class participation & attendance – 10%
Weekly quizzes / viva – 20%
Practical skill evaluation / group project – 40%
Field visit report – 10%
Final practical evaluation & demonstration – 20%
Multimedia-equipped classrooms
Functional 33/11 kV and 11/0.415 kV substations
Industrial generator stations
Battery banks, DC systems, and protection panels
Insulation Resistance (IR) testers
Earth resistance testers
Transformer oil testing kits
Multimeters, clamp meters
PPE, LOTO kits, relay testing equipment
Course manual & handbook
Weekly presentation slides
Maintenance checklists
Field visit logbook
Safety standards documentation (BNBC, IEC, NFPA)
The following discounts currently apply:
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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.
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