AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
AI Coding Assistants Lab
Work with Codex, Claude Code and GitHub Copilot for planning, coding, testing and code review.
Online + OfflineWeekdays + WeekendsRegular + Fast Track
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere
NEXT START OPTIONS
Choose a live batch.
COURSE OVERVIEW
What this course
is built to do.
Use Codex, Claude Code and GitHub Copilot for task planning, coding, testing, debugging and review under developer control.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
AI-Assisted DeveloperSoftware Productivity EngineerAI Coding Workflow SpecialistDeveloper Tools Associate
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You already write code
You want to compare major coding assistants
You need team rules for planning, tests and review
YOUR LEARNING ARC
From guided foundation to finished work.
Set up
Configure context, instructions and data rules.
Build
Plan and implement small code changes.
Check
Test, debug and review generated work.
Adopt
Use assistants within Git and CI workflows.
INDUSTRY TASKS
Practise the work, not only the tool.
- Implement a feature with Codex or Claude Code
- Repair defects with regression tests
- Compare assistants across the development cycle
PRO
LED
LED
YOUR TRAINING TEAM
Learn from experienced working professionals.
Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Configure coding assistants safely
Project instructions and data-handling rules.
02
Plan and implement reviewable changes
A versioned feature with acceptance checks.
03
Test and debug generated code
A defect record and automated regression suite.
04
Choose tools by task
A capstone comparison across planning, coding, testing and review.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
DETAILED COURSE FLOW
5 learning modules
Use Codex, Claude Code and GitHub Copilot for planning, coding, testing and review while retaining developer control.
Assistant setup and safe context
Configure coding tools and supply enough project context without exposing secrets.
CORE TOPICS
- Codex, Claude Code and Copilot roles
- Repository, file and task context
- Secrets, private data and permissions
- Instructions and coding standards
GUIDED PRACTICE
Create project instructions and compare assistants on the same small task.
MODULE DELIVERABLE
Coding-assistant setup guide
Planning and code generation
Turn requirements into small, reviewable changes.
CORE TOPICS
- User stories and acceptance checks
- Task decomposition and file selection
- Code drafts and explanations
- Patch review and dependency choices
GUIDED PRACTICE
Plan and implement a feature in small changes with a clear decision record.
MODULE DELIVERABLE
AI-assisted feature build
Testing and debugging
Use assistants to create tests and investigate defects without accepting unproven fixes.
CORE TOPICS
- Unit, API and browser tests
- Reproduction and stack-trace analysis
- Hypothesis testing and regression checks
- Test quality and false confidence
GUIDED PRACTICE
Repair seeded defects and add a regression test for each confirmed cause.
MODULE DELIVERABLE
Testing and debugging casebook
Review, refactoring and security
Assess generated code for correctness, readability and risk.
CORE TOPICS
- Code review and change summaries
- Refactoring and technical debt
- Authentication and input risks
- Package, licence and dependency checks
GUIDED PRACTICE
Review an AI-written feature and prepare a safer, cleaner version.
MODULE DELIVERABLE
AI code-review report
Team workflow and capstone
Place assistants within version control, review and release practices.
CORE TOPICS
- Branches, pull requests and CI
- Agent instructions and team conventions
- Usage, cost and productivity measures
- Handover and tool-selection guide
GUIDED PRACTICE
Deliver a tested feature and compare which assistant worked best at each stage.
MODULE DELIVERABLE
Coding assistants lab capstone
HOW THE TRAINING WORKS
Learn it. Apply it. Get it reviewed. Improve it.
Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
Review and revision
Work is checked against a rubric, revised after feedback and prepared for project presentation.
PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation
PORTFOLIO WORK
Projects you can show
Guided practice brief
Plan, produce, test and present a finished piece with trainer feedback.
Individual application
Plan, produce, test and present a finished piece with trainer feedback.
Workflow build
Plan, produce, test and present a finished piece with trainer feedback.
Industry-style assignment
Plan, produce, test and present a finished piece with trainer feedback.
Quality review
Plan, produce, test and present a finished piece with trainer feedback.
Final capstone
Plan, produce, test and present a finished piece with trainer feedback.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
TOOLS COVERED
CodexClaude CodeGitHub CopilotGitHub
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
Which tools are included?
The lab compares Codex, Claude Code and GitHub Copilot according to account access.
＋Is this suitable for beginners?
Basic programming and Git knowledge are expected; complete beginners should start with AI Coding for Beginners.
＋Does it cover code security?
Yes. Input, authentication, dependency and secret risks are reviewed.
＋Do I need coding experience?
No, unless the course level says otherwise. Your advisor will check the right starting level.
＋Are classes live or recorded?
Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.
＋Will I receive a certificate?
Yes. Course completion requires attendance, assignments and the final project.
＋Can working professionals join?
Yes. Weekday, weekend and selected fast-track schedules are available.
＋NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.