Suitable For
Professionals
Skill Level
Intermediate
Course Duration
10 Hours
Session Length
2 Hours
Delivery
Live Online
Time Zone
UK Time
Learning Objective
By the end of this course, you will be able to
By the end of this course, learners will be able to:
- explain how AI coding tools work and describe their role in a modern software development workflow
- identify the main AI coding tools including GitHub Copilot, ChatGPT, and Cursor and their typical use cases
- apply prompt engineering techniques to generate, refine, and improve code output using AI assistants
- build a small working application with significant AI assistance and review the generated code critically
- run AI-generated code, test its behaviour against expected outcomes, and evaluate whether it meets requirements
- debug AI-generated code by identifying hallucinations, logic errors, and security issues in the output
- compare AI-assisted and manual coding workflows and explain when each approach is more appropriate
- create a documented AI-assisted workflow demonstrating responsible, critical, and productive use of coding tools
Target learners
Who this course is for
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.
Prerequisites
What you need
No prior experience with AI coding tools is required.
- Basic programming knowledge in any language is needed — Python is preferred.
- A laptop with VS Code and an active GitHub account are required.
- A GitHub Copilot trial or subscription is needed — free trials are available for individual developers.
- Learners should be open to evaluating AI-generated code critically rather than accepting it without review.
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.
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.
Course Types
We offer three structured learning paths based on your goals:
Crash Course (Fast-Track)
Quick, intensive courses designed to teach specific skills efficiently. Ideal for those upskilling fast or preparing for certifications.
DeepDive Program (Full Mastery)
Comprehensive, step-by-step learning for full mastery. For beginners and professionals seeking long-term, deep expertise.
MentorConnect (One-on-One)
Personalised mentorship with real-world guidance. Best for those who thrive with direct, expert-to-learner coaching.
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.
8
Which AI coding tools are covered in this course?
The course covers GitHub Copilot, ChatGPT and GPT-4 API integration, Cursor, and prompt engineering techniques applicable across multiple AI tools. The focus is on using these tools productively within a real development workflow — not just generating code but reviewing, debugging, and validating AI output effectively.
9
Is this course suitable for non-developers who want to use AI tools?
The course assumes some familiarity with coding concepts but is not restricted to experienced software engineers. Technical project managers, QA engineers, data analysts, and technically-minded business professionals have all benefited from this course. If you can read and follow code without writing it fluently, you will find the course accessible and immediately useful.
10
How does this course address the risks of over-relying on AI-generated code?
A core theme of the course is critical evaluation of AI output — understanding when AI tools are helpful, when they hallucinate, and how to verify generated code before using it in production. You will practise prompt refinement, output testing, and governance thinking, which are the skills that separate effective AI-augmented developers from those who create technical debt.
Learning Approaches
We recognize that everyone learns differently, so we offer flexible learning formats to fit your needs:
One-on-One Training
-
Personalized, instructor-led coaching tailored to your learning speed.
-
Best for career-specific coaching or specialized training needs.
Small Batch Classes (2-5 learners)
-
Interactive, discussion-based learning in small groups.
-
Encourages collaboration, teamwork, and peer-to-peer engagement.
Your content has been submitted
Join Us Today
Welcome to ITLearnner, your gateway to a world of online education! We make it simple to register for our courses, helping you navigate through various categories to find the perfect match for your learning goals.
When signing up, we'll ask where you learned about us and if you have any references, making the process smooth and tailored to your needs.
Join us today and unlock your potential in the digital realm!