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Course Overview
Work smarter. Build faster. Think sharper.
This course takes you from AI-curious to AI-fluent as a developer—through 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 adoption—not just participate in it.
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Course Objectives:
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Learning Outcomes:
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
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Target Audience
For developers ready to work smarter.
- Developers and career starters wanting to adopt AI tools professionally
- Professionals curious about responsible AI-assisted development
- Anyone who wants to stay ahead of how software is now being built
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Pre-requisites
What you need.
Basic programming knowledge in any language - Python (Preferred)
A laptop with VS Code and a GitHub account
Curiosity about the future of software development
Curriculum
Frequently asked questions
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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.
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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.
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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.
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How are the sessions structured?
Five modules, 2 hours per session, over five weeks. Real AI tools are used throughout every session.
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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.
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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