Learn technologies separately, manually implement most code and add AI tools later.
AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED SEPTEMBER 2026
AI Coding & Full Stack Engineering
AI-NATIVE SOFTWARE DEVELOPMENT WITH CODEX, CLAUDE CODE, CURSOR, FULL STACK, RAG & AGENTS
Build full-stack and AI applications with coding models and agents—from planning and architecture to coding, debugging, testing, deployment, RAG and AI agents.
Learn software development the AI-native way. Use coding models and agents from idea, planning and architecture through coding, debugging, testing and deployment—then build applications containing LLMs, RAG and AI agents.
20 WeeksLive Online + ClassroomBeginner FriendlyAI Used From Day 16 AI-Native Projects
THIS IS NOT A CONVENTIONAL FULL STACK COURSE WITH AN AI MODULE
Learn enough engineering to control the AI.
JavaScript, TypeScript, React, Next.js, APIs, databases, authentication, Git, testing and deployment are taught through one AI-native development workflow.
Describe → Plan → Generate → Understand → Modify → Debug → Test → Review → Deploy
Build with AI from Day 1, learn the engineering behind its output, then create full-stack products containing LLMs, RAG and agents.
Generated code is not accepted simply because it runs. Students learn when to trust AI, when not to trust it and how to verify what it produces.
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.
Learn software development around the modern AI-native workflow. Use coding models and agents from Day 1 while learning enough engineering to understand, modify, debug, test, secure and deploy what they produce.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
AI Application DeveloperAI-Native Full Stack DeveloperJunior AI Software EngineerProduct EngineerAI Automation DeveloperFull Stack DeveloperAI Prototyping Engineer
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You know basic web concepts
You want AI-assisted development with testing
You need a working full-stack portfolio project
YOUR LEARNING ARC
From guided foundation to finished work.
Plan
Define users, routes, data and acceptance checks.
Build
Create frontend, backend and database features.
Verify
Review code, test flows and fix defects.
Ship
Use version control and deploy the application.
INDUSTRY TASKS
Practise the work, not only the tool.
- Turn a product brief into technical tasks
- Build and connect a full-stack feature
- Add tests and deploy a working application
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.
TRAIN A PROFESSIONAL TEAM
Run this programme around your tools and operating controls.
Private weekday, weekend and fast-track formats are available for organisations.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Plan and build modern web interfaces
A responsive React application with accessible interactions.
02
Create tested APIs and data models
A backend service with validation, database work and failure handling.
03
Use AI coding tools responsibly
Review notes, tests and explanations proving code understanding.
04
Deploy a complete application
A live full-stack capstone with documentation and presentation.
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 full-stack development while using AI to plan, write, review, test and debug code without losing engineering understanding.
Web foundations and AI coding discipline
Build the core knowledge required to judge generated code and break work into testable tasks.
CORE TOPICS
- HTML, CSS, JavaScript and browser fundamentals
- Git, GitHub and development workflow
- Prompting from requirements and acceptance criteria
- Reading, explaining and reviewing AI-generated code
GUIDED PRACTICE
Build a responsive interface and explain every generated or edited code section.
MODULE DELIVERABLE
Version-controlled frontend project
React interfaces and application state
Create reusable, accessible interfaces driven by real data and user actions.
CORE TOPICS
- Components, props and state
- Forms, validation and user feedback
- Routing and API-driven screens
- Responsive design and accessibility checks
GUIDED PRACTICE
Build a multi-screen application interface with validated forms and loading states.
MODULE DELIVERABLE
React application frontend
Node APIs and backend logic
Design server features that validate requests, enforce rules and report errors clearly.
CORE TOPICS
- Node.js and Express architecture
- REST endpoints and request validation
- Authentication and authorisation concepts
- Error handling, logging and API testing
GUIDED PRACTICE
Create and test an API for a real application feature with normal and failure cases.
MODULE DELIVERABLE
Tested backend API service
PostgreSQL and full-stack integration
Model application data and connect frontend, backend and database safely.
CORE TOPICS
- Relational schema and constraints
- SQL queries and data access
- Authentication flow and protected actions
- Security basics and environment configuration
GUIDED PRACTICE
Implement one complete feature from interface through API to stored data.
MODULE DELIVERABLE
Integrated full-stack feature
Testing, AI feature and deployment capstone
Ship a working product with tests, documentation and one responsible AI capability.
CORE TOPICS
- Unit, integration and interface testing
- AI-assisted debugging and code review
- LLM API integration and output controls
- Deployment, monitoring and portfolio presentation
GUIDED PRACTICE
Build, test and deploy a complete application, then present its architecture and trade-offs.
MODULE DELIVERABLE
Deployed full-stack 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
AI-Assisted Web Application
Plan, produce, test and present a finished piece with trainer feedback.
SaaS Frontend
Plan, produce, test and present a finished piece with trainer feedback.
Full-Stack Business Application
Plan, produce, test and present a finished piece with trainer feedback.
RAG Knowledge Assistant
Plan, produce, test and present a finished piece with trainer feedback.
AI Agent Application
Plan, produce, test and present a finished piece with trainer feedback.
AI-Native SaaS 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.
PROGRAMME FEE
Standard fee: ₹59,000
Launch Cohort Fee: ₹49,000 · Instalment options are discussed during counselling.
TOOLS COVERED
AI coding models & agents
ChatGPTOpenAI CodexClaudeClaude CodeGeminiGitHub Copilot
Development environments & rapid building
CursorVS CodeReplitv0Replit Agent
Full-stack engineering
HTMLCSSJavaScriptTypeScriptReactNext.jsTailwind CSSNode.jsPostgreSQLSupabaseREST APIsAuthentication
AI applications & agents
OpenAI APIAnthropic APIGemini APIEmbeddingsVector searchRAGStructured outputsTool callingAI AgentsMCPHuman approval patterns
Testing & deployment
GitGitHubPlaywrightDocker fundamentalsGitHub ActionsVercel
AI development changes quickly. AI5 updates lab tools as stronger models, coding agents and workflows become available. The programme teaches transferable AI software-engineering methods rather than dependence on one tool.CHOOSE THE RIGHT AI CODING ROUTE
Full career programme or focused coding-assistant lab?
This 20-week programme is the complete product-building route. Developers who mainly want shorter training on coding assistants can choose the focused four-week lab.
COMMON QUESTIONS
Before you apply
Will AI write all the code?
AI assists with planning, drafting, review and debugging; you remain responsible for understanding and testing it.
＋Which stack is used?
The course covers a modern JavaScript stack with APIs, database work and deployment.
＋Do I need prior coding?
Basic HTML, CSS and JavaScript are helpful; an advisor can check your 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.