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AI Starter Lab

Practical Tools & Real Projects

4.8 (900 Reviews) · 6,900 students
ByTamim Iqbal AI & Automation Specialist · n8n Ambassador
10 Modules · 48 Lessons 11 hours on-demand video Beginner Bangla & English Lifetime Access Certificate included
৳ 3,490

7-day money-back guarantee

AI Starter Lab Watch preview

About This Course

AI Starter Lab is a complete, project-based course — Practical Tools & Real Projects. It is built for learners in Bangladesh who want practical skills that translate into real income, real jobs and real opportunities, and it works just as well for learners anywhere in the world.

Across 10 modules and 48 lessons (about 11 hours), you will work through AI Foundations & Responsible Use, Tool Setup & Model Differences, Prompting Fundamentals, Context & Prompt Systems and more. Every chapter follows the same rhythm: key concepts, a hands-on step-by-step demo, applying it to your own project, and a real-world practice task.

The course is available in both Bangla and English with lifetime access, downloadable resources and a verifiable certificate on completion. You can ask mentors questions in the community at any time.

What You'll Learn

  • Master aI Foundations & Responsible Use — from concept to real application
  • Master tool Setup & Model Differences — from concept to real application
  • Master prompting Fundamentals — from concept to real application
  • Master context & Prompt Systems — from concept to real application
  • Master research & Fact-Checking — from concept to real application
  • Master writing & Productivity — from concept to real application
  • Build real projects and portfolio pieces as you learn
  • Follow a clear next-step roadmap to jobs, clients or income

Requirements

  • A laptop or smartphone with internet
  • No prior experience needed — we start from zero
  • Willingness to practise 30–45 minutes a day

Who this course is for

  • Professionals who want to work faster with AI
  • Freelancers adding AI services to their offer
  • Business owners who want to automate repetitive work

Course Content

10 modules · 16 chapters · 48 lessons · 11 hours total
1 AI Foundations & Responsible Use 6 Lessons · 1h 17m
Chapter 1.1 AI Foundations & Responsible Use: Concept & Why It Matters
AI Foundations & Responsible Use — key concepts for AI Starter Lab Preview 16m Hands-on: AI Foundations & Responsible Use step-by-step Preview 10m
Apply it to: ChatGPT, Gemini & Claude from Zero 12m
Chapter 1.2 AI Foundations & Responsible Use: Setup / Framework
AI Foundations & Responsible Use — key concepts for AI Starter Lab 11m
Hands-on: AI Foundations & Responsible Use step-by-step 9m
Apply it to: ChatGPT, Gemini & Claude from Zero 19m
2 Tool Setup & Model Differences 6 Lessons · 1h 9m
Chapter 2.1 Tool Setup & Model Differences: Setup / Framework
Tool Setup & Model Differences — key concepts for AI Starter Lab 13m
Hands-on: Tool Setup & Model Differences step-by-step 11m
Apply it to: ChatGPT, Gemini & Claude from Zero 9m
Chapter 2.2 Tool Setup & Model Differences: Hands-on Workflow
Tool Setup & Model Differences — key concepts for AI Starter Lab 10m
Hands-on: Tool Setup & Model Differences step-by-step 12m
Apply it to: ChatGPT, Gemini & Claude from Zero 14m
3 Prompting Fundamentals 6 Lessons · 1h 13m
Chapter 3.1 Prompting Fundamentals: Hands-on Workflow
Prompting Fundamentals — key concepts for AI Starter Lab 10m
Hands-on: Prompting Fundamentals step-by-step 16m
Apply it to: ChatGPT, Gemini & Claude from Zero 10m
Chapter 3.2 Prompting Fundamentals: Real-World Example
Prompting Fundamentals — key concepts for AI Starter Lab 9m
Hands-on: Prompting Fundamentals step-by-step 19m
Apply it to: ChatGPT, Gemini & Claude from Zero 9m
4 Context & Prompt Systems 6 Lessons · 1h 17m
Chapter 4.1 Context & Prompt Systems: Real-World Example
Context & Prompt Systems — key concepts for AI Starter Lab 11m
Hands-on: Context & Prompt Systems step-by-step 9m
Apply it to: ChatGPT, Gemini & Claude from Zero 15m
Chapter 4.2 Context & Prompt Systems: Mistakes & Troubleshooting
Context & Prompt Systems — key concepts for AI Starter Lab 16m
Hands-on: Context & Prompt Systems step-by-step 10m
Apply it to: ChatGPT, Gemini & Claude from Zero 16m
5 Research & Fact-Checking 6 Lessons · 1h 25m
Chapter 5.1 Research & Fact-Checking: Mistakes & Troubleshooting
Research & Fact-Checking — key concepts for AI Starter Lab 12m
Hands-on: Research & Fact-Checking step-by-step 10m
Apply it to: ChatGPT, Gemini & Claude from Zero 20m
Chapter 5.2 Research & Fact-Checking: Optimization / Advanced Practice
Research & Fact-Checking — key concepts for AI Starter Lab 19m
Hands-on: Research & Fact-Checking step-by-step 9m
Apply it to: ChatGPT, Gemini & Claude from Zero 15m
6 Writing & Productivity 6 Lessons · 1h 25m
Chapter 6.1 Writing & Productivity: Optimization / Advanced Practice
Writing & Productivity — key concepts for AI Starter Lab 9m
Hands-on: Writing & Productivity step-by-step 19m
Apply it to: ChatGPT, Gemini & Claude from Zero 13m
Chapter 6.2 Writing & Productivity: Concept & Why It Matters
Writing & Productivity — key concepts for AI Starter Lab 14m
Hands-on: Writing & Productivity step-by-step 12m
Apply it to: ChatGPT, Gemini & Claude from Zero 18m
7 Documents & Data 3 Lessons · 40m
Chapter 7.1 Documents & Data: Concept & Why It Matters
Documents & Data — key concepts for AI Starter Lab 14m
Hands-on: Documents & Data step-by-step 16m
Apply it to: ChatGPT, Gemini & Claude from Zero 10m
8 Image/Multimodal Workflows 3 Lessons · 31m
Chapter 8.1 Image/Multimodal Workflows: Setup / Framework
Image/Multimodal Workflows — key concepts for AI Starter Lab 11m
Hands-on: Image/Multimodal Workflows step-by-step 9m
Apply it to: ChatGPT, Gemini & Claude from Zero 11m
9 Content Production 3 Lessons · 50m
Chapter 9.1 Content Production: Hands-on Workflow
Content Production — key concepts for AI Starter Lab 20m
Hands-on: Content Production step-by-step 18m
Apply it to: ChatGPT, Gemini & Claude from Zero 12m
10 Capstone & Updates 3 Lessons · 49m
Chapter 10.1 Capstone & Updates: Real-World Example
Capstone & Updates — key concepts for AI Starter Lab 17m
Hands-on: Capstone & Updates step-by-step 19m
Apply it to: ChatGPT, Gemini & Claude from Zero 13m

About the instructor

Tamim Iqbal

Tamim Iqbal

AI & Automation Specialist · n8n Ambassador
4.8 Rating 12,607 students 12 Courses

Tamim builds AI agents and automation systems for startups in Dhaka, Singapore and Berlin. He makes ChatGPT, Claude, Gemini and n8n practical for non-technical professionals.

More from this instructor

Reviews

4.8900 Reviews
5 ★
67%
4 ★
33%
3 ★
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Sumaiya Akter2 months ago

Clear, practical and in Bangla — exactly what I needed. Finished in 3 weeks and already applying it.

A
Arif Hossain3 months ago

The instructor explains every step with real examples. The practice tasks make you actually do the work.

M
Mim Chowdhury3 months ago

Great content and structure. Would love a few more advanced case studies in the last modules.

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FAQs

What language is the course in?

Every lesson is available in both Bangla and English — you can switch at any time.

How long do I get access?

Lifetime. Once enrolled, you keep access forever, including future updates.

How do I pay?

bKash, Nagad, Rocket, card or bank transfer — instructions appear at checkout. The course unlocks once payment is verified.

Do I get a certificate?

Yes. Complete all lessons and download a verifiable certificate.

৳ 3,490
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