AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026

AI-Assisted Python Development

Learn Python by building practical programs with AI coding support and code review.

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Online + OfflineWeekdays + WeekendsRegular + Fast Track
The build stack93

Intent becomes structure, working code and a real product.

PLANCODESHIP
Duration12 weeks
Learning modeClassroom + Live Online
ScheduleWeekdays + Weekends
TrackRegular + Fast Track*
Entry levelBeginner
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.

Learn Python through practical programs while using AI coding assistants for explanation, planning, testing and debugging under human review.

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

WHO SHOULD JOINCoding beginnersStudents entering AI or dataCareer switchersJunior developers
PREREQUISITE

Basic computer use. No prior programming is required.

CONNECTED CAREER DIRECTIONS

Junior Python DeveloperAI-Assisted Software DeveloperPython Automation AssociateApplication Support Developer

IS THIS COURSE RIGHT FOR YOU?

Choose it for the right reason.

01

You are beginning Python

02

You want AI coding support without losing understanding

03

You need tested projects for a coding portfolio

YOUR LEARNING ARC

From guided foundation to finished work.

01

Logic

Write and explain Python foundations.

02

Build

Use files, modules and structured data.

03

Connect

Call APIs and automate practical tasks.

04

Ship

Test, version and deploy an application.

INDUSTRY TASKS

Practise the work, not only the tool.

  1. Build a file-based Python tool
  2. Connect an application to an external API
  3. Deploy a tested Python capstone
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

Write and explain Python programs

A reviewed project set covering logic, functions and data structures.

02

Connect Python with APIs

A working automation that validates inputs and handles failures.

03

Test and debug AI-assisted code

A pytest suite, defect log and version history.

04

Ship a complete Python application

A deployed capstone with documentation and demonstration.

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

Learn Python by building useful programs with AI coding support, while developing the ability to read, test and correct every line.

MODULE 01

Python logic and AI-assisted learning

Build programming foundations while using AI as a tutor rather than a source of unchecked code.

CORE TOPICS
  • Variables, types and expressions
  • Conditions, loops and functions
  • Prompting for explanation and examples
  • Reading errors and checking generated code
GUIDED PRACTICE

Create several small programs and explain their logic without relying on the assistant.

MODULE DELIVERABLE

Python foundation project set

MODULE 02

Data structures, files and clean code

Organise information and write programs that are easier to test and maintain.

CORE TOPICS
  • Lists, dictionaries, sets and tuples
  • Files, CSV and JSON
  • Modules, packages and environments
  • Naming, functions and code organisation
GUIDED PRACTICE

Build a file-based data application with clear functions and validation.

MODULE DELIVERABLE

Structured Python application

MODULE 03

APIs and practical automation

Use Python to collect, transform and send information through external services.

CORE TOPICS
  • HTTP, REST and request methods
  • API keys and environment variables
  • Parsing responses and handling errors
  • Scheduling and task automation
GUIDED PRACTICE

Connect to an API and build a useful reporting or notification script.

MODULE DELIVERABLE

API-connected automation project

MODULE 04

Testing, debugging and version control

Develop disciplined coding habits that prevent AI-generated defects from reaching users.

CORE TOPICS
  • Debugging with traces and breakpoints
  • pytest and test-case design
  • Git commits, branches and review
  • AI code review and security checks
GUIDED PRACTICE

Add tests to an application, find seeded defects and document every correction.

MODULE DELIVERABLE

Tested and versioned Python project

MODULE 05

Application capstone and deployment

Combine Python logic, data and an interface into a portfolio-ready application.

CORE TOPICS
  • Project requirements and task planning
  • Command-line, API or web interfaces
  • Database or persistent data basics
  • Deployment, README and demonstration
GUIDED PRACTICE

Build, test, deploy and present a Python application based on a real task.

MODULE DELIVERABLE

Deployed Python development 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

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

COMMON QUESTIONS

Before you apply

Can a complete beginner join?

Yes. The course begins with programming logic and builds through guided projects.

Will AI write the code for me?

AI assists with explanations, drafts and review, but learners must read, test and explain the final code.

Are Git and testing included?

Yes. Version control, pytest and debugging are part of the main course flow.

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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