- Course Overview
What this course is about
Work smarter. Build faster. Think sharper.
This course takes you from AI-curious to AI-fluent as a developerthrough hands-on use of GitHub Copilot and ChatGPT on real coding tasks, with a critical focus on when to trust, when to question, and when to rewrite.
You won't just use AI tools. You'll evaluate them, guide them, and make them produce the code quality your team expects.
At ITLearnner, we focus on clarity, structure, and confidence. Every session equips you to lead responsible AI adoptionnot just participate in it.
Learning Objective :
By the end of this course, you will be able to
By the end, you can.
- Use GitHub Copilot to accelerate code writing in VS Code
- Write precise, effective prompts that produce useful code output
- Critically evaluate and fix AI-generated code
- Apply AI assistance to debugging, testing, and documentation tasks
- Work with AI tools responsibly and understand their limitations
- Who this course is for:
Target Audience
Who this course is for
Target audience
For developers and technical professionals ready to stop ignoring AI tools and start using them with the discipline that production teams require.
- Developers and career starters who want to adopt GitHub Copilot and ChatGPT professionally critically, responsibly, and at the code quality level their team expects.
- QA engineers and technical professionals who want to stay ahead of AI-assisted testing and development without falling into uncritical over-reliance.
- Technical leads who need to evaluate AI tool adoption on their teams and govern it effectively not simply permit it and hope for the best.
If you see yourself in one of these, this course is built for you.
What you need
Pre-Requisites
What you need.
- Basic programming knowledge in any language Python preferred
- A laptop with VS Code and an active GitHub account
- Curiosity about how AI tools are changing professional software development
Coding with AI Tools
10 Hrs
Duration
2 hrs
Sessions
Online, Live
Delivery
Curriculum
01
The AI Development Landscape
Learn what AI coding tools exist, how large language models generate code, and where they genuinely help versus mislead and apply that critical lens to evaluate AI-generated code samples from the very first session.
02
GitHub Copilot in Practice
Learn to use GitHub Copilot in real development workflows inline completions, chat, and test generation and apply it to accelerate real coding tasks while maintaining the code quality your team expects.
03
Prompt Engineering for Code
Learn prompt engineering for code generation specificity, context injection, multi-step prompting, and output evaluation and apply them to produce AI-assisted code that meets real engineering quality standards.
04
Debugging and Testing with AI
Learn to use AI tools for debugging, test generation, and documentation and apply them to identify bugs in existing code, generate meaningful test cases, and document a module you did not write.
05
Responsible AI Development
Learn the professional standards around responsible AI use in engineering bias, hallucination, copyright risk, and governance frameworks and apply them to audit an AI-assisted codebase for risks your team would need to manage.
Frequently asked questions
1
Who is this course designed for?
This course is designed for developers, career starters, and technically-minded professionals who want to integrate AI coding tools into their workflow properly. It is also ideal for technical leads who need to evaluate and govern AI tool use on engineering teams.
2
What prior experience do I need?
Basic programming knowledge in any language Python or JavaScript preferred. No prior experience with AI coding tools is required.
3
What will I be able to do by the end?
You will be able to use GitHub Copilot effectively in VS Code, write precise prompts that produce useful code, critically evaluate and fix AI-generated code, apply AI assistance to debugging and testing, and work with AI tools responsibly and professionally.
4
How are the sessions structured?
Five modules, 2 hours per session, over five weeks. Real AI tools are used throughout every session.
5
What is EngagePro?
Reference guides cover prompt engineering patterns, AI tool comparisons, and code generation walkthroughs per session. Each task involves a real AI-assisted coding challenge. Ravi Kumar reviews all submissions, assessing prompt quality, code quality, and responsible AI practice.
6
What tools do I need?
A laptop with VS Code and a GitHub account. GitHub Copilot requires a subscription a free trial is available.
7
Will I receive a certificate?
Yes the ITLearnner AI-Assisted Development Certificate on completing the course.
Learning Approaches
We recognize that everyone learns differently, so we offer flexible learning formats to fit your needs:
One-on-One Training
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Personalized, instructor-led coaching tailored to your learning speed.
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Best for career-specific coaching or specialized training needs.
Small Batch Classes (2-5 learners)
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Interactive, discussion-based learning in small groups.
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Encourages collaboration, teamwork, and peer-to-peer engagement.
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