Explore our comprehensive catalog of micro-credential courses designed to boost your skills and career. Flexible, industry-aligned, and recognized by employers.
ArchViz – Interior in 3ds Max
Course Code: MC 40 002
Course Title: ArchViz – Interior in 3ds Max
Start Date: October 18, 2025 📅
Duration: 2 months (25 hours, 2 classes/week) ⏰
Mode: Blended (in-person lab sessions + online) 🌐
Class Size: 25-30 participants 👥
Course Equivalent: 2 Credit Hours
Course Fee: 6,000 BDT (Special offer with 2000 BDT Discount and only 4000 BDT ) 💸
Course Description 🎨
ArchViz – Interior in 3ds Max (MC 40 002) meets the surging demand for high-quality 3D visualization in architecture, interior design, and real estate, where clients increasingly rely on realistic renderings and walkthroughs. This course trains participants to create professional interior visualizations using 3ds Max, V-Ray, Photoshop, and Filmora. Through hands-on modeling, texturing, lighting, rendering, and animation, learners will produce presentation-ready outputs, preparing them for careers as 3D visualizers or freelance creators in Bangladesh’s growing design industry. 🚀
Syllabus 📚
Intro to 3ds Max Interface & Basic Modeling: Navigating 3ds Max, simple shapes. 🖥️
Spline Modeling with Modifiers: Creating complex forms. 📏
Object Deformation & Boolean Operations: Advanced modeling techniques. 🛠️
Poly Modeling for Furniture: Crafting realistic furniture. 🪑
Texturing & Material Application: Applying realistic textures. 🎨
Developing Interior Layout from Plan: Building scenes from blueprints. 🏠
Importing & Arranging Assets: Managing external assets. 📦
Intro to V-Ray/Corona Rendering: Rendering basics. 💡
Lighting & Camera Setup: Creating realistic lighting, camera angles. 🎥
Corona Rendering & Photoshop Correction: Post-processing renders. 🖌️
Walkthrough Animation: Animating interior scenes. 🎬
Sequential Output & Rendering: Preparing render sequences. 📤
Final Output Preparation: Compiling deliverables. 📑
Compositing with Filmora: Editing walkthroughs. 🎞️
Final Project Presentation: Showcasing completed work. 🎤
Guidelines for Industry Entry: Career and learning roadmap. 🚀
Learning Outcomes ✅
Participants will:
Navigate and model 3D environments in 3ds Max. 🖥️
Create spline and poly-based objects. 📏
Apply realistic materials and textures. 🎨
Light and render interiors with V-Ray. 💡
Produce animated walkthroughs and rendered outputs. 🎬
Perform compositing using Filmora and Photoshop. 🖌️
Target Audience 🎓
Architects, interior designers.
Architecture students.
Aspiring 3D visualizers.
Entry Requirements 📋
Basic computer literacy.
Exposure to design/architectural concepts (helpful, not mandatory).
Minimum age: 18 years.
Career Pathways 🚀
3D Interior Visualizer.
Architectural Render Artist.
Junior CGI Artist in design studios.
Freelance visual content creator for real estate/interior firms.
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Blender for 3D Asset Creation and Indie Production
Course Code: MC40001
Course Title: Blender for 3D Asset Creation and Indie Production
Start Date: October 18, 2025 📅
Duration: 10 weeks (15 hours, 1.5 hours/week) ⏰
Mode: Blended (online sessions, in-person, portfolio submission) 🌐
Class Size: Max 30 participants 👥
Course Equivalent: 1 Credit Hour
Course Fee: 3,500 BDT (students, discounted from 5,000 BDT) 💸
Course Description 🖌️
Blender for 3D Asset Creation and Indie Production (MC40001) taps into the soaring demand for 3D modeling skills, with Blender adoption up 200% globally (Blender Foundation 2024) and 3D artistry among top freelance roles (LinkedIn 2023, Upwork 2024). This course trains learners to create production-ready 3D assets for games and product visualization using Blender. Through hands-on sessions, participants will master modeling, UV mapping, PBR materials, and optimization, culminating in a professional portfolio for freelance platforms like Fiverr and Upwork, aligning with DIU’s skills-based learning strategy. 🚀
Learning Outcomes ✅
Participants will:
Model production-ready 3D assets in Blender. 🛠️
Apply UV mapping and PBR workflows. 🎨
Render and export optimized models for games/visualization. 📤
Build a freelance-ready project portfolio. 📜
Target Audience 🎓
Final-year multimedia students.
Freelancers, indie developers.
Creative technologists aiming for 3D modeling/visualization careers.
Entry Requirements 📋
Basic understanding of polygonal modeling or design software (helpful, not required).
Minimum age: 17 years (HSC/12th grade equivalent).
Career Pathways 🚀
Freelance roles on Fiverr, Upwork (3D Visualizer, Game Asset Creator).
Positions: XR Designer, 3D Visualizer.
Stack into Certificate in 3D Content or Minor in XR.
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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: October 18, 2025 📅
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: 6,000 BDT; Discount: 4,000 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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XR Development with Unity
Course Code: MC15003
Course Title: XR Development with Unity
Start Date: September 27, 2025 📅
Duration: 10 weeks (80 hours, 6 hours live class/week + self-study/projects) ⏰
Mode: Blended (online + in-person labs) 🌐
Class Size: 15-40 participants 👥
Course Equivalent: 3 Credit Hours
Course Fee: BDT 3,500 (discounted from BDT 5,000); USD 400 for international learners 💸
Course Description 🎮
XR Development with Unity (MC15003) taps into the booming XR (Extended Reality) market, projected to reach 443 million users by 2025. This hands-on course equips learners with skills to create immersive AR/VR experiences using Unity and C#. From building 3D scenes to developing marker-based and marker-less AR apps, participants will master industry-standard tools through real-world projects like VR games and AR applications. Designed for aspiring developers and professionals, it prepares you for high-demand roles in gaming, healthcare, education, and more, with a professional XR portfolio. 🚀
Learning Outcomes ✅
Participants will:
Build AR/VR applications using Unity. 🌌
Write C# scripts for interactive XR environments. 💻
Develop marker-based and marker-less AR apps. 📱
Create a professional XR portfolio for career opportunities. 📜
Target Audience 🎓
Aspiring game developers and software engineers.
AR/VR enthusiasts, hobbyists.
Students/professionals transitioning to XR technology roles.
Entry Requirements 📋
Basic computer literacy, interest in programming.
Prior programming experience (helpful, not mandatory).
Minimum age: 18 years.
Career Pathways 🚀
Roles: XR Developer, Unity Developer, AR/VR App Designer, Game Developer.
Specialization in healthcare, education, or entertainment XR applications.
Foundation for advanced XR studies or certifications.
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Applied Data Analytics Masterclass
Course Code: MC15002
Course Title: Applied Data Analytics Masterclass
Start Date: July 10, 2025 📅
Duration: 40 hours (30 hours classwork + 10 hours self-study, 2 classes/week) ⏰
Mode: Blended (online lectures, live sessions, hands-on labs, project work) 🌐
Class Size: 20-30 participants 👥
Course Equivalent: 2 Credit Hours
Course Fee: 3,500 BDT (discounted from 5,000 BDT) 💸
Course Description 🚀
Applied Data Analytics Masterclass (MC15002) meets the surging demand for data professionals, with a projected 25% growth in analytics roles over the next 5 years (McKinsey, Deloitte). This hands-on course equips learners with skills in Python, SQL, machine learning, and visualization tools like Power BI and Plotly. Through real-world datasets and a capstone project, participants will master data wrangling, predictive modeling, and business intelligence, preparing for high-demand roles in data science, analytics, and machine learning. 🌟
Learning Outcomes ✅
Participants will:
Master core data analytics concepts and tools. 📊
Create visualizations and dashboards with Power BI, Plotly. 🖼️
Build and evaluate machine learning models. 🤖
Perform time series forecasting with ARIMA, Prophet. ⏳
Complete a capstone project showcasing analytics skills. 📜
Target Audience 🎓
Data analysts, data scientists, business analysts.
Fresh graduates (Computer Science, Economics, Engineering, Mathematics).
Professionals transitioning to data analytics/ML roles.
Entry Requirements 📋
Bachelor’s degree in Computer Science, Engineering, Business, or related fields.
Basic statistics/programming knowledge (helpful, not mandatory).
Minimum age: 18 years.
Career Pathways 🚀
Roles: Data Scientist, Business Intelligence Analyst, ML Engineer.
Advanced studies in data science, AI, or machine learning.
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Embedded Systems and IoT – Unlock the Future of Smart Technologies - Batch 2
Course Code: MC15001
Course Title: Embedded Systems and IoT – Unlock the Future of Smart Technologies
Start Date: October 16, 2025 📅
Duration: 18 weeks (3 modules, 6 weeks each, 72 hours total) ⏰
Mode: Blended (in-person, online, hands-on projects) 🌐
Class Size: Max 25 participants 👥
Course Equivalent: 2 Credit Hours
Course Fee: BDT 3,000 (discounted from BDT 4,000) 💸
Course Description 🚀
Embedded Systems and IoT – Unlock the Future of Smart Technologies (MC15001) taps into the booming demand for expertise in IoT and embedded systems, powering industries like smart homes, automation, and Industry 4.0. This hands-on course guides learners through building IoT prototypes, writing firmware, and mastering advanced embedded technologies using Arduino, Raspberry Pi, STM32, and RTOS. With real-world projects like smart home automation and industrial systems, participants will gain skills for high-demand careers in tech, supported by expert mentorship and industry-standard tools. 🌟
Learning Outcomes ✅
Participants will:
Build and deploy IoT systems with real-time communication. 🌐
Develop efficient firmware using Embedded C and RTOS. 💻
Implement secure, scalable embedded solutions with STM32. 🔐
Apply automation logic for industrial applications. ⚙️
Create a portfolio of smart tech projects. 📜
Target Audience 🎓
Engineering students (ECE, CSE, EE).
Tech enthusiasts and hobbyists.
Embedded firmware/IoT developers.
Professionals upskilling in smart tech.
Startup founders in IoT/automation.
Entry Requirements 📋
Basic programming or electronics knowledge (helpful, not mandatory).
Minimum age: 18 years.
Career Pathways 🚀
Embedded/IoT Engineer roles in tech industries.
M.Tech or postgraduate programs in IoT/embedded systems.
Startup ventures in smart devices and automation.
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Expert Network Engineering - 7 in One
Course Code: MCA002
Course Title: Expert Network Engineering - 7 in One
Start Date: November 1, 2025
Duration: 72 hours (12 weeks, ~6 hours per week)
Mode: Blended (lab-based in-person, online classes, simulations)
Class Size: 15 participants
Course Equivalent: 6 Credit Hours
Course Fee: 10000 BDT (Discount Price 6000 BDT)
Course Description
Expert Network Engineering - 7 in One (MCA002) addresses the critical shortage of skilled network engineers in Bangladesh’s $1.5B IT industry and global markets, where demand for certified professionals has surged due to cloud computing, IoT, and cybersecurity needs (BASIS, 2024). This comprehensive course combines industry-standard certifications (CCNA, MTCNA, Network+, Linux) with hands-on training in Cisco, MikroTik, network security, and data center management. Through labs, simulations, and a capstone project, participants will gain expertise in designing, configuring, and securing enterprise networks, preparing them for high-demand roles in ISPs, tech firms, and freelancing.
Learning Outcomes
Participants will:
Explain networking models, protocols, and IP addressing.
Configure Cisco/MikroTik routers, switches, and VLANs.
Implement secure networks with firewalls and VPNs.
Manage Linux-based network services (DNS, DHCP).
Design and monitor data center networks.
Prepare for CCNA, MTCNA, and Network+ certifications.
Deliver a capstone project simulating an enterprise network.
Entry Requirements
Basic computer and internet knowledge.
No prior networking experience required (IT background preferred).
Minimum age: 18 years.
Career Pathways
Network Support Engineer, Network Administrator, Cisco/MikroTik Engineer.
Network Security Associate, Data Center Technician, Linux Administrator.
Freelance router configuration, IT consultancy, or ISP startup.
Professional Certificate in Expert Network Engineering.
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Applied Data Analysis Using SPSS 📊
Course Code: MC53008
Course Title: Applied Data Analysis Using SPSS
Start Date: September 20, 2025 📅
Duration: 40 hours (13 weeks, ~3 hours per week) + 6 months for project submission (13 weeks) ⏰
Mode: Blended (online lectures, in-person workshops, supervised project work) 🌐
Class Size: 10-30 participants 👥
Course Equivalent: 20 Credit Hours
Course Fee: 20,000 BDT (Discount Price: 14000 BDT)(lectures + practical); 80,000 BDT (with data analysis & manuscript submission) 💸
Course Description 🚀
Applied Data Analysis Using SPSS (MC53008) addresses the critical demand for SPSS proficiency in Bangladesh, where 75% of researchers lack formal training in this tool (icddr,b, 2023). With SPSS widely used in public health, social sciences, and business, this course offers hands-on training in data management, statistical testing, and result interpretation. Through practical labs and a real-world data project, participants will gain skills for academic research, policy analysis, and industry roles, aligning with the 30% rise in SPSS-related job postings (bdjobs.com, 2024). 🌟
Learning Outcomes ✅
Participants will:
Navigate SPSS for data entry and management. 💻
Perform and interpret descriptive statistics and graphs. 📊
Conduct Chi-square, t-tests, ANOVA, and regression analyses. ⚙️
Apply non-parametric tests appropriately. 📉
Execute and interpret logistic regression models. 📋
Estimate sample sizes and power calculations. 🔍
Produce data-driven reports and manuscripts. 📝
Target Audience 🎓\
Undergraduate/graduate students (any discipline).
Researchers, academics, NGO professionals.
Data enthusiasts in public health, social sciences, business.
Entry Requirements 📋\
Undergraduate student status or higher.
Basic knowledge of statistics.
Minimum age: 18 years.
Career Pathways 🚀\
Research Assistant, Data Analyst, M&E Officer.
Public Health Analyst, Policy Analyst.
Advanced studies in biostatistics, epidemiology, data science.
Professional Certificate in Data Analysis with SPSS.
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Data Analysis with R: Foundations to Applications
Course Code: MC53007
Course Title: Data Analysis with R: Foundations to Applications
Start Date: September 20, 2025 📅
Duration: 40 hours (13 weeks, ~3 hours per week) + 6 months for project submission (13 weeks) ⏰
Mode: Blended (online lectures, in-person workshops, supervised project work) 🌐
Class Size: 10-30 participants 👥
Course Equivalent: 20 Credit Hours
Course Fee: 20,000 BDT (Discount Price: 14000 BDT)(lectures + practical); 80,000 BDT (with data analysis & manuscript submission) 💸
Course Description 🚀
Data Analysis with R: Foundations to Applications (MC53007) addresses the surging demand for R programming skills in Bangladesh, where data analysis job postings grew by 25% in 2024 (bdjobs.com). With R’s prominence in public health, academia, and business, this course equips learners with practical expertise in data management, statistical analysis, and visualization. Through hands-on labs and a real-world data project, participants will bridge the skills gap, supporting evidence-based decision-making and research excellence. 🌟
Learning Outcomes ✅
Participants will:
Use R for data analysis and visualization proficiently. 💻
Import, clean, and manage datasets effectively. 🗃️
Perform and interpret descriptive/inferential statistics. 📊
Apply parametric/non-parametric tests and regression models. ⚙️
Conduct sample size and power calculations. 🔍
Produce professional statistical reports and manuscripts. 📝
Target Audience 🎓\
Undergraduate/graduate students, early-career researchers.
Public health professionals, data enthusiasts, development practitioners.
Entry Requirements 📋\
Undergraduate student status or higher.
Basic knowledge of statistics.
Minimum age: 18 years.
Career Pathways 🚀\
Research Assistant, Data Analyst, M&E Officer.
Public Health Analyst, Biostatistician.
Advanced studies in biostatistics, epidemiology, data science.
Professional Certificate in Data Analysis with R.
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Essentials of Research Protocol Writing: Foundations to Practice - Registration 📝
Course Code: MC53006
Course Title: Essentials of Research Protocol Writing: Foundations to Practice
Start Date: September 20, 2025 📅
Duration: 40 hours (13 weeks, ~3 hours per week) + 6 months for project submission (13 Weeks) ⏰
Mode: Blended (online lectures, in-person workshops, supervised project work) 🌐
Class Size: 10-30 participants 👥
Course Equivalent: 20 Credit Hours
Course Fee: 20,000 BDT (Discount Price: 14000) (lectures + practical); 80,000 BDT (with protocol submission) 💸
Course Description 🚀
Essentials of Research Protocol Writing: Foundations to Practice addresses the critical need for structured training in research protocol development, with 70% of postgraduate researchers in Bangladesh facing delays due to inadequate protocol skills (NIPSOM, 2023). This course equips learners with the ability to craft scientifically rigorous, ethically sound protocols for academic, funding, and ethical review. Through interactive lectures, hands-on workshops, and a real-world protocol project, participants will meet global standards (e.g., WHO, IRB) and enhance their research careers. 🌟
Learning Outcomes ✅
Participants will:
Understand and structure research protocols. 📚
Formulate aligned research questions and hypotheses. 🎯
Design methodologies with ethical integration. ⚖️
Prepare protocols for funding and ethical approval. 📜
Evaluate sample protocols for strengths and weaknesses. 🔍
Apply global standards (e.g., WHO) in protocol writing. 🌍
Transform research ideas into fundable proposals. 💡
Target Audience 🎓\
Fresh graduates (any discipline).
Undergraduate/postgraduate students.
Researchers, academics, NGO professionals.
Entry Requirements 📋\
Undergraduate student status or higher.
Minimum age: 18 years.
Career Pathways 🚀\
Research coordinator, protocol developer.
Roles in NGOs, academic institutions, or research organizations.
Advanced studies in research methods or biostatistics.
Professional Certificate in Research Protocol Writing.
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Full-Stack Web Development-Pro (From Basics to Advanced) - batch 2 💻
Course Code: MCA001
Course Title: Full-Stack Web Development-Pro (From Basics to Advanced)
Start Date: November 2, 2025 📅
Duration: 72 hours (12-16 weeks, 6 hours per week) ⏰
Mode: Blended (online, project work) 🌐
Class Size: 20-30 participants 👥
Course Equivalent: 4 Credit Hours (Theory-3, Lab-1)
Course Description 🚀
Full-Stack Web Development (From Basics to Advanced) (MCA001) addresses the global surge in demand for skilled full-stack developers, with Bangladesh’s tech industry seeing a 30% rise in web development job postings (bdjobs.com, 2024). This course equips learners with end-to-end skills in HTML, CSS, JavaScript, React, Laravel, and WordPress, alongside tools like GitHub, Figma, and Linux VPS. Through hands-on projects and real-world applications, participants will be prepared for freelancing, remote work, or tech industry roles, bridging the gap between design and development. 🌟
Learning Outcomes ✅
Participants would be able to :
Build web pages with HTML, CSS, Bootstrap, Tailwind. 🌐
Create interactive interfaces using JavaScript, Vue.js, React.js. ⚛️
Use UI libraries (ShadCN/UI, Material UI) for rapid development. 🖌️
Design UI/UX with Figma, Illustrator, Photoshop. 🎨
Develop backend systems with Node.js, PHP, Laravel. 🖧
Manage databases using MySQL, PostgreSQL. 🗃️
Build and consume RESTful APIs. 📡
Use Git/GitHub for version control. 📂
Create and customize WordPress sites. 🌍
Deploy applications on Linux VPS with cPanel. ☁️
Build a portfolio for freelancing or job applications. 💼
Target Audience 🎓\
SWE/CSE/ICE/CIS/ITM/MCE/IT/EEE/Business students.
Fresh graduates, job seekers, freelancers, entrepreneurs.
Professionals transitioning to tech or interested in web development.
Entry Requirements 📋\
Basic computer and internet knowledge.
No prior coding experience required.
Minimum age: 18 years.
Career Pathways 🚀
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Micro-Credential Course in Good Laboratory Practices (GLP) for Beginners 🧪
Course Code: MC55001
Course Title: Good Laboratory Practices (GLP) for Beginners
Start Date: September 20, 2025 📅
Duration: 12 Hours (Blended: In-person & Online) ⏳
Mode: Blended 🌐
Class Size: Maximum 25 participants 🧑🔬
Course Fee: BDT 1,500 💸
Course Equivalent: 1 Credit Hour
Course Description 🔬
With Bangladesh’s booming agricultural research, agrochemical testing, and food safety sectors, Good Laboratory Practices (GLP) for Beginners (MC55001) meets the urgent need for skilled lab professionals. Reports from the Bangladesh Agricultural Research Council (BARC) and agro-industrial labs highlight a high demand for GLP-trained personnel to ensure quality and safety in research and production. This beginner-friendly course offers foundational knowledge and hands-on skills in lab safety, ethical practices, and equipment handling, preparing you for a career in agriculture and related fields! 🚜
Learning Outcomes ✅
Participants will:
Apply lab safety procedures and handle chemicals responsibly.
Maintain equipment and calibration logs.
Document experiments per GLP standards.
Follow ethical and regulatory lab guidelines.
Target Audience 🎓
Graduate/undergraduate students in agricultural/biological sciences.
Research assistants/lab technicians.
NGO/industry professionals in agriculture/food testing labs.
Entry Requirements 📋
Minimum Diploma/Graduate/Lab professional in science.
Basic knowledge of chemistry/biology preferred.
Career Pathways 💼
Agricultural research labs.
Agrochemical companies.
Food safety/quality control units.
Higher studies in Biochemistry/Agricultural Chemistry.
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From Campus to Corporate: Interview Like a Pro - Student Registration 💼 Batch 2
Course Code: MC-10-004
Course Title: From Campus to Corporate: Interview Like a Pro
Start Date: October 04, 2025 📅
Duration: 3 weeks (15 hours total, 3 sessions/week) ⏰
Mode: Blended (9 hours online, 6 hours in-person workshops) 🌐
Class Size: 15-20 participants 👥
Course Equivalent: 1 Credit Hour
Course Fee: 250 BDT (DIU students with certification, regular 1,000 BDT) 💸
Course Description 🎤
From Campus to Corporate: Interview Like a Pro (MC-10-004) addresses the critical need for job interview skills, with 40% of employers noting graduates lack preparedness (McKinsey 2022) and soft skills rising 20% in importance (WEF). This course equips students and professionals with strategies to excel in interviews, covering communication, etiquette, and handling tough questions. Through mock interviews, resume crafting, and post-interview tactics, participants will gain confidence to secure roles in competitive markets, bridging the gap between academics and professional success. 🚀
Learning Outcomes ✅
Participants will:
Identify interview types and adapt strategies. 🔍
Communicate skills confidently using STAR method. 💬
Master professional etiquette and body language. 👔
Craft tailored resumes, cover letters, LinkedIn profiles. 📄
Conduct mock interviews and post-interview follow-ups. 📧
Target Audience 🎓
University students, fresh graduates.
Job seekers, career changers.
Young professionals seeking promotions.
Technical/non-technical candidates across fields.
Entry Requirements 📋
No prior experience required.
Basic job interview knowledge (optional).
Minimum age: 18 years.
Career Pathways 🚀
Roles in corporate, IT, education, media, banking, healthcare, public sectors.
Enhanced prospects for entry-level jobs, promotions, leadership roles.
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Good Manufacturing Practices (GMP) - Student Registration 🧪 Batch - 2
Course Code: MC29002
Course Title: Good Manufacturing Practices (GMP)
Start Date: October 3, 2025 📅
Duration: 8 Hours ⏰
Mode: In-person 🌐
Course Equivalent: 1 Credit Hour
Course Fee 💸
Regular Fee: 1000 BDT
Special Offer for Students: 300 BDT
Course Description 💊
Good Manufacturing Practices (GMP) (MC29002) addresses the critical demand for skilled pharmacists in Bangladesh’s booming pharmaceutical industry, which meets 98% of domestic demand and exports to 160+ countries. This course provides comprehensive training in current Good Manufacturing Practices (cGMP), aligning with WHO TRS 986 Annex-2, FDA, EMA, and EU GMP standards. Participants will master regulatory compliance, risk-based inspections, quality assurance, and documentation for APIs, water systems, and sterile products. Through case studies and hands-on workshops, learners will be equipped for quality control, regulatory affairs, and audit readiness, enhancing public health and industry standards. 🌍
Learning Outcomes ✅
Participants will:
Explain cGMP principles and regulatory compliance. 📘
Apply FDA, EMA, and WHO guidelines effectively. 🌐
Identify facility/equipment needs for compliance. 🏭
Implement QA, documentation, and validation practices. 📝
Conduct risk assessments and audits in manufacturing. 🔍
Target Audience 🎓
Pharmacy, Veterinary Medicine, Biotechnology, Life Sciences graduates.
Professionals in Quality Control (QC), Quality Assurance (QA).
Regulatory Affairs Officers, Compliance Executives/Managers.
Entry Requirements 📋
Health or Medical Sciences students (3rd year+).
Minimum age: 20 years.
Career Pathways 🚀
Specialized GMP certifications.
QA, QC, or Regulatory Affairs roles.
Management positions in pharmaceuticals.
Advanced GMP training programs.
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Learn Medical Image Processing with Machine Learning - Batch 2 🩺💻
Course Code: MC35001
Course Title: Learn Medical Image Processing with Machine Learning
Start Date: October 15, 2025 📅
Duration: 6 weeks (24 hours) ⏰
Mode: Blended (online + in-person labs or fully online) 🌐
Class Size: Max 30 participants 👥
Course Equivalent: 2 Credit Hours
Course Fee 💸
Discount Price: 3,500 BDT; Regular Price: 5,000 BDT
Course Description 🩻
Learn Medical Image Processing with Machine Learning (MC35001) taps into the transformative power of AI in healthcare, addressing the growing demand for skills in medical image analysis. This hands-on course teaches you to process medical images (MRI, CT, X-rays) using Python and build machine learning/deep learning models for diagnostics. From tumor detection to pneumonia classification, you’ll master preprocessing, segmentation, feature extraction, and model training. Culminating in a capstone project, this course prepares you for careers in health tech, AI startups, or research, with real-world datasets and industry-standard tools. 🚀
Learning Outcomes ✅
Participants will:
Process medical images (MRI, CT, X-rays) using Python. 🖥️
Apply preprocessing, segmentation, and feature extraction. 🛠️
Train ML/DL models for diagnostic classification. 🤖
Build a complete medical imaging pipeline. 🔄
Create a publication- or deployment-ready capstone project. 📜
Prepare for health tech or AI research careers. 🌟
Target Audience 🎓
Final-year undergrad/postgraduate students (CSE, BME, EEE).
Medical professionals, radiologists, biomedical engineers.
Data scientists, AI enthusiasts interested in healthcare.
Entry Requirements 📋
Basic Python programming.
Basic ML/image processing knowledge (helpful, not mandatory).
Minimum age: 18 years.
Career Pathways 🚀
Careers in health tech, AI startups, clinical data science.
Research roles in biomedical/computer vision fields.
Foundation for MSc/PhD in related disciplines.
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