AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026

AI Testing & Debugging

Use AI to write tests, trace defects and improve code without losing engineering control.

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Online + OfflineWeekdays + WeekendsRegular + Fast Track
The build stack98

Intent becomes structure, working code and a real product.

PLANCODESHIP
Duration8 weeks
Learning modeClassroom + Live Online
ScheduleWeekdays + Weekends
TrackRegular + Fast Track*
Entry levelIntermediate
Projects6 substantial practical builds
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere

NEXT START OPTIONS

Choose a live batch.

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COURSE OVERVIEW

What this course
is built to do.

Use AI coding assistants to plan tests and trace defects while retaining human control of code quality, security and release decisions.

Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.

WHO SHOULD JOINSoftware developersQA engineersCoding studentsTechnical support teams
PREREQUISITE

Basic programming knowledge in Python or JavaScript.

CONNECTED CAREER DIRECTIONS

AI-Assisted QA EngineerSoftware Test DeveloperDebugging and Reliability AssociateJunior SDET

IS THIS COURSE RIGHT FOR YOU?

Choose it for the right reason.

01

You already write code

02

You want stronger testing and debugging habits

03

You use AI coding tools but need release control

YOUR LEARNING ARC

From guided foundation to finished work.

01

Plan

Turn requirements and risk into test cases.

02

Automate

Write unit, integration and API tests.

03

Debug

Reproduce defects and prove their causes.

04

Gate

Run browser, security and CI checks before release.

INDUSTRY TASKS

Practise the work, not only the tool.

  1. Add pytest coverage to an application
  2. Repair seeded defects with regression tests
  3. Create a Playwright and API test pipeline
PRO
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.

Meet our trainers ↗

WHAT YOU WILL BE ABLE TO DO

Course outcomes

01

Plan software tests from risk

A traceable test strategy tied to feature requirements.

02

Write unit and integration tests

An automated suite with meaningful assertions and coverage review.

03

Find and prove defect causes

A debugging record with reproduction, fix and regression tests.

04

Add tests to software delivery

A CI-controlled capstone covering API, browser and security checks.

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 AI coding assistants to plan tests, trace defects and improve software while keeping engineering judgement, security and release control with the developer.

MODULE 01

Testing strategy and AI coding rules

Define what must be tested and how AI assistance will be reviewed.

CORE TOPICS
  • Test pyramid and risk-based coverage
  • Requirements and acceptance criteria
  • Supplying code context safely
  • Review rules and prohibited data
GUIDED PRACTICE

Turn a feature brief into a test plan and AI-assisted testing checklist.

MODULE DELIVERABLE

Software test strategy

MODULE 02

Unit and integration testing

Create focused tests that reveal incorrect behaviour and guard future changes.

CORE TOPICS
  • Test cases, fixtures and assertions
  • pytest and JavaScript test frameworks
  • Mocking APIs and databases
  • Coverage reports and weak-test detection
GUIDED PRACTICE

Add a unit and integration test suite to a sample application.

MODULE DELIVERABLE

Automated test suite

MODULE 03

Debugging and root-cause analysis

Move from an error message to a proven cause using evidence from the running system.

CORE TOPICS
  • Stack traces, logs and reproduction steps
  • Breakpoints and variable inspection
  • AI-generated hypotheses and verification
  • Regression tests and fix review
GUIDED PRACTICE

Find and repair seeded defects, adding a regression test for each confirmed cause.

MODULE DELIVERABLE

Debugging casebook

MODULE 04

Web, API and end-to-end testing

Test complete user flows across interfaces and service boundaries.

CORE TOPICS
  • API requests, status and schema checks
  • Browser flows with Playwright
  • Authentication and permission tests
  • Network, timing and data-state failures
GUIDED PRACTICE

Build an end-to-end test for a user journey and include negative and permission cases.

MODULE DELIVERABLE

API and browser test project

MODULE 05

Security, CI and capstone

Place reliable tests into the delivery process and prevent unsafe AI-written changes.

CORE TOPICS
  • Dependency and basic security checks
  • CI pipelines and test gates
  • Flaky tests and test maintenance
  • Release evidence and incident learning
GUIDED PRACTICE

Repair, test and prepare a sample application for release through a CI workflow.

MODULE DELIVERABLE

AI testing and debugging 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.

01

Concept briefing

The trainer explains the principle, use case, limitations and the quality standard expected.

02

Live demonstration

A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.

03

Guided lab

Learners repeat the method with support, ask questions and correct problems during the session.

04

Applied assignment

The same method is used on a different brief so the learner must make independent decisions.

05

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

01

Guided practice brief

Plan, produce, test and present a finished piece with trainer feedback.

02

Individual application

Plan, produce, test and present a finished piece with trainer feedback.

03

Workflow build

Plan, produce, test and present a finished piece with trainer feedback.

04

Industry-style assignment

Plan, produce, test and present a finished piece with trainer feedback.

05

Quality review

Plan, produce, test and present a finished piece with trainer feedback.

06

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

CodexGitHubPlaywrightpytest
Tool coverage may be updated when the industry changes. Core methods remain part of the course.

COMMON QUESTIONS

Before you apply

Which languages are supported?

Guided examples use Python and JavaScript testing tools.

Is Playwright included?

Yes. Browser-flow testing is part of the end-to-end module.

Will AI fix bugs automatically?

AI can suggest causes and code, but each change must be reproduced, reviewed and covered by a test.

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.

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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.

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