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AI Coding Assistant
Build, Debug & Improve Code with AI
ByAsif Mahmud Python & Data Science Mentor · MSc, BUET
৳ 2,490 ৳ 2,990 -17%
7-day money-back guarantee
About This Course
AI Coding Assistant is a complete, project-based course — Build, Debug & Improve Code with AI. 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 52 lessons (about 12 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 · 17 chapters · 52 lessons · 12 hours total
1 AI Foundations & Responsible Use
Chapter 1.1 AI Foundations & Responsible Use: Concept & Why It Matters
AI Foundations & Responsible Use — key concepts for AI Coding Assistant
Preview 13m
Hands-on: AI Foundations & Responsible Use step-by-step
Preview 19m
Apply it to: Build, Debug & Improve Code with AI
17m
Real-world case / practice task
15m
Chapter 1.2 AI Foundations & Responsible Use: Setup / Framework
AI Foundations & Responsible Use — key concepts for AI Coding Assistant
10m
Hands-on: AI Foundations & Responsible Use step-by-step
16m
Apply it to: Build, Debug & Improve Code with AI
10m
2 Tool Setup & Model Differences
Chapter 2.1 Tool Setup & Model Differences: Setup / Framework
Tool Setup & Model Differences — key concepts for AI Coding Assistant
12m
Hands-on: Tool Setup & Model Differences step-by-step
14m
Apply it to: Build, Debug & Improve Code with AI
12m
Chapter 2.2 Tool Setup & Model Differences: Hands-on Workflow
Tool Setup & Model Differences — key concepts for AI Coding Assistant
15m
Hands-on: Tool Setup & Model Differences step-by-step
13m
Apply it to: Build, Debug & Improve Code with AI
15m
3 Prompting Fundamentals
Chapter 3.1 Prompting Fundamentals: Hands-on Workflow
Prompting Fundamentals — key concepts for AI Coding Assistant
15m
Hands-on: Prompting Fundamentals step-by-step
9m
Apply it to: Build, Debug & Improve Code with AI
19m
Chapter 3.2 Prompting Fundamentals: Real-World Example
Prompting Fundamentals — key concepts for AI Coding Assistant
16m
Hands-on: Prompting Fundamentals step-by-step
18m
Apply it to: Build, Debug & Improve Code with AI
16m
4 Context & Prompt Systems
Chapter 4.1 Context & Prompt Systems: Real-World Example
Context & Prompt Systems — key concepts for AI Coding Assistant
10m
Hands-on: Context & Prompt Systems step-by-step
20m
Apply it to: Build, Debug & Improve Code with AI
14m
Chapter 4.2 Context & Prompt Systems: Mistakes & Troubleshooting
Context & Prompt Systems — key concepts for AI Coding Assistant
9m
Hands-on: Context & Prompt Systems step-by-step
15m
Apply it to: Build, Debug & Improve Code with AI
13m
5 Research & Fact-Checking
Chapter 5.1 Research & Fact-Checking: Mistakes & Troubleshooting
Research & Fact-Checking — key concepts for AI Coding Assistant
17m
Hands-on: Research & Fact-Checking step-by-step
11m
Apply it to: Build, Debug & Improve Code with AI
13m
Chapter 5.2 Research & Fact-Checking: Optimization / Advanced Practice
Research & Fact-Checking — key concepts for AI Coding Assistant
10m
Hands-on: Research & Fact-Checking step-by-step
20m
Apply it to: Build, Debug & Improve Code with AI
18m
6 Writing & Productivity
Chapter 6.1 Writing & Productivity: Optimization / Advanced Practice
Writing & Productivity — key concepts for AI Coding Assistant
16m
Hands-on: Writing & Productivity step-by-step
10m
Apply it to: Build, Debug & Improve Code with AI
12m
Chapter 6.2 Writing & Productivity: Concept & Why It Matters
Writing & Productivity — key concepts for AI Coding Assistant
15m
Hands-on: Writing & Productivity step-by-step
9m
Apply it to: Build, Debug & Improve Code with AI
11m
7 Documents & Data
Chapter 7.1 Documents & Data: Concept & Why It Matters
Documents & Data — key concepts for AI Coding Assistant
11m
Hands-on: Documents & Data step-by-step
9m
Apply it to: Build, Debug & Improve Code with AI
15m
Chapter 7.2 Documents & Data: Setup / Framework
Documents & Data — key concepts for AI Coding Assistant
20m
Hands-on: Documents & Data step-by-step
10m
Apply it to: Build, Debug & Improve Code with AI
12m
8 Image/Multimodal Workflows
Chapter 8.1 Image/Multimodal Workflows: Setup / Framework
Image/Multimodal Workflows — key concepts for AI Coding Assistant
18m
Hands-on: Image/Multimodal Workflows step-by-step
12m
Apply it to: Build, Debug & Improve Code with AI
10m
9 Content Production
Chapter 9.1 Content Production: Hands-on Workflow
Content Production — key concepts for AI Coding Assistant
13m
Hands-on: Content Production step-by-step
11m
Apply it to: Build, Debug & Improve Code with AI
9m
10 Capstone & Updates
Chapter 10.1 Capstone & Updates: Real-World Example
Capstone & Updates — key concepts for AI Coding Assistant
12m
Hands-on: Capstone & Updates step-by-step
10m
Apply it to: Build, Debug & Improve Code with AI
20m
About the instructor
Asif Mahmud
Python & Data Science Mentor · MSc, BUET
4.8 Rating
7,900 students
10 Courses
Asif teaches Python, data analysis and AI-assisted coding to beginners with zero background. His learners now work at startups, banks and remote companies.
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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.
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