12-WEEK COURSE For working developers Online + offline

Become an AI Python engineer in 12 weeks

A mentor-led AI Python engineering course for working developers. Go from Python for AI to LLM apps, AI agents and cloud deployment, in live online classes or in our classroom, with placement assistance when you finish.

✓ Write production-grade Python for AI applications

✓ Master LLMs and prompt engineering for real use cases

✓ Build AI agents with LangChain and LlamaIndex

✓ Deploy with FastAPI, Docker and the cloud, then get placement assistance

12 weeks

Mentor-led training

Industry projects

Hybrid

Online + offline

Starts: 5 Oct 2026 Duration: 12 weeks Mode: Live online or classroom

Next batch starts 5 Oct 2026

Register for the AI Python Engineering course

5 Oct batch · 12 weeks · Choose your mode

Course fee · Online

₹25,000 one-time

Placement assistance included

Free counselling call within 24 hours · No payment needed to register

Placement assistanceLifetime recordingsCommunity access

YOUR AI ENGINEERING STACK

AI tools you will learn

The stack used in production AI teams

Core Python

Production-ready code

Python 3.11 language

Pydantic validation

Git & GitHub version control

LLMs & prompts

Work with AI models

OpenAI API GPT models

Prompt design structured output

Embeddings semantic search

Frameworks & agents

Build AI systems

LangChain chains, agents

LlamaIndex data + retrieval

Vector DB search

Deploy

Ship to production

FastAPI REST API

Docker containers

AWS / GCP cloud

CURRICULUM

12-week AI Python curriculum

Live classes online or in our classroom, with hands-on labs every week and a project at the end of each phase. Every class is recorded, and you keep the recordings for life.

Functions, classes and typing for production code

Error handling and logging

Virtual environments and project structure

Working with REST APIs and JSON

Async requests for faster AI calls

Git workflow and code reviews

Tokens, context windows and temperature

Choosing a model: quality, speed and cost

Calling LLM APIs safely with API keys

Prompt patterns: few-shot, step-by-step reasoning and roles

Structured output validated with Pydantic

Testing and versioning prompts

Chains, prompt templates and output parsers

Conversation memory

Connecting LangChain to your own functions

Loading and indexing documents

Embeddings and vector databases

Building a document Q&A assistant with sources

How function calling works

Designing tools an agent can use

Building a multi-step agent with LangChain

Retries, fallbacks and error handling

Reducing hallucinations

Human-in-the-loop approval steps

Building REST endpoints for AI features

Request validation and error responses

Streaming responses to the front end

Containerising your app with Docker

Environment variables and secrets

Caching and controlling token costs

Deploying containers to AWS or GCP

Monitoring, logs and scaling basics

Capstone build and mentor review

Capstone presentation on demo day

Resume and LinkedIn review around your projects

Interview preparation for AI engineer roles

WHY THIS COURSE

Build real AI apps, not demos.

Free videos are fine for getting started. Working developers need structure, code reviews and a mentor to ask when a deployment fails.

ON YOUR OWN

Self-learning from tutorials

▶

Structure

Random videos in no fixed order

When you get stuck

Search forums and wait for replies

What you build

Copy-along demos that stop at the notebook

Staying on track

Easy to stop after a few lessons

How current it is

Many videos use outdated libraries

After you finish

No help with jobs

WHAT YOU GET HERE

WITH MENTORS

Growth IntelliLabs AI Python course

✓

Structure

A 12-week roadmap, from Python for AI to cloud deployment

✓

When you get stuck

Mentors help you debug in class and in the community

✓

What you build

4 industry projects, including a deployed capstone

✓

Staying on track

Weekly classes online or in person, with project deadlines

✓

How current it is

Current LangChain, LlamaIndex and model APIs

✓

After you finish

Placement assistance, lifetime recordings and community access

WHAT YOU WILL BUILD

4 industry projects you will build

From: customer@acme.inInvoice charged twice this month

BillingHigh priorityJSON ✓

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01 1 week

IntermediateWeek 4

AI workflow automation

A prompt-engineered tool that reads emails or tickets, classifies them and drafts replies with validated JSON output.

OpenAI API · Pydantic

What is our leave policy for new joiners?

New joiners get 1.5 days of paid leave per month from their start date.

📄 hr-policy.pdf · p.496% match

02 2 weeks

IntermediateWeeks 5–6

Document Q&A assistant

Ask questions across company PDFs and docs. Answers cite their source so users can check them.

LlamaIndex · vector DB

✓search_orders("A-1042")
✓get_shipping_status()
!refund > limit → ask human

Agent · Your order ships tomorrow. I've sent your refund request for approval.

03 2 weeks

AdvancedWeeks 7–8

Multi-tool AI agent

An agent that searches data, calls APIs and hands off to a human when it is unsure.

LangChain · tool calling

                    $ docker build -t ai-service .
                    $ deploy --cloud aws
                    POST /v1/answer 200 · 312 ms
                  

● Live99.9% uptime₹0.04 / request

04 4 weeks

CapstoneWeeks 9–12

Production AI service

Your capstone: an AI app served as an API, containerised and deployed to the cloud with monitoring.

FastAPI · Docker · Cloud

week8/support_agent.py

from openai import OpenAI
from tools import search_docs, create_ticket
client = OpenAI()
def answer(question: str) -> str:
    context = search_docs(question, top_k=4)      # your own PDFs, embedded
    reply = client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[{"role": "user", "content": build_prompt(question, context)}],
        tools=[create_ticket],
    )
    return reply.choices[0].message.content

CERTIFICATE

Earn an AI Python Engineering course certificate

Complete the 12 weeks and your capstone project to get a Growth IntelliLabs certificate with a unique credential ID that employers can verify.

✓Unique, verifiable credential ID

✓One-click share to LinkedIn

✓Lists your capstone and course projects

✓Issued after the capstone review

CERTIFICATE OF COMPLETION

This certifies that

Your Name

has completed the AI Python Engineering Course (12 weeks), covering LLMs, AI agents and cloud deployment with Python.

GIL-AIPY-2026-0418

Credential ID

VERIFIED

Growth IntelliLabs

Issued by

EVERYTHING YOU GET

Everything included in your course fee

Same curriculum, mentors and projects in both modes. Pick the one that fits your schedule.

ONLINE

Live online classes

Join from anywhere

₹25,000 one-time fee

✓12 weeks, live online classes with mentors

✓4 industry projects, including a cloud capstone

✓Weekly labs and mentor code reviews

✓Lifetime recordings

✓Community access

✓Placement assistance

✓Course completion certificate

OFFLINE

Classroom batch

In-person at our centre

₹30,000 one-time fee

✓12 weeks, in-person classroom sessions with mentors

✓4 industry projects, including a cloud capstone

✓Weekly labs and mentor code reviews

✓Lifetime recordings

✓Community access

✓Placement assistance

✓Course completion certificate

WHO IT IS FOR

Built for developers moving into AI

01 Move into AI roles

Software and backend developers

You build web or backend systems and want AI engineering on your profile for GenAI and AI engineer roles.

YOU WILL WALK AWAY WITH

✓4 production-style AI projects

✓Deployment skills most AI courses skip

✓Placement assistance after the capstone

02 Add LLM skills

Data analysts and data engineers

You work with Python, SQL or pipelines and want to build LLM features on top of the data you already manage.

YOU WILL WALK AWAY WITH

✓Document search and Q&A with LlamaIndex

✓Prompt patterns for reliable structured output

✓APIs that plug into your existing systems

03 Ship AI at work

Tech leads and freelance developers

You need to plan, build and ship AI features for your team or clients, with a clear view of cost and reliability.

YOU WILL WALK AWAY WITH

✓Agent and tool-calling patterns you can reuse

✓Docker and cloud deployment workflow

✓A capstone you can show to clients

You will be comfortable if you

✓Already write code at work or have built projects

✓Can give 8–10 hours a week for 12 weeks

✓Want production skills you can use at work

Probably not for you if you

✕Have never written any code

✕Want a theory-heavy maths or data science course

✕Expect a job offer without completing the projects

CAREER OUTCOMES

AI engineering careers these Python skills lead to

Companies across India are hiring for roles that combine Python with large language models. These are the roles this course prepares you for.

GenAI / LLM Engineer

Typical salary

₹10–30 LPA

RAGAgentsPrompting

AI Engineer (Python)

Typical salary

₹8–24 LPA

LLM APIsFastAPIVector DBs

ML / MLOps Engineer

Typical salary

₹8–22 LPA

PythonDeploymentpandas

Python Dev + AI skills

Typical salary

₹5–15 LPA

AutomationAPIsStreamlit

Indicative annual ranges (LPA) for 0–5 years of experience in India. Outcomes depend on your background and effort. Placement assistance does not guarantee a job offer.

COMPANIES HIRING

Companies hiring AI and GenAI engineers in India

Product companies, IT services firms, consultancies and banks in Hyderabad, Bengaluru and Pune are building AI teams. They look for the skills this course teaches: Python, LLM apps, AI agents and cloud deployment.

Big tech & product

Build AI into products

Microsoft
Google
Amazon
Salesforce
Oracle
Adobe

IT services

GenAI projects for global clients

TCS
Infosys
Wipro
HCLTech
Tech Mahindra
Capgemini

Consulting & analytics

AI and data consulting teams

Deloitte
EY
KPMG
PwC
Tiger Analytics
Fractal

Banking, pharma & chips

In-house AI engineering teams

JPMorgan Chase
Goldman Sachs
HSBC
Wells Fargo
Novartis
Qualcomm

Company names are trademarks of their owners and are listed to show where these skills are in demand. They are not Growth IntelliLabs hiring partners, and placement assistance does not guarantee a job at any company.

PLACEMENTS

Placement assistance for AI Python engineering roles

From week 10 our placement team works with you on your profile, interviews and job search, so your projects turn into interview calls for GenAI and AI engineer roles.

Resume built around your projects

Your 4 projects written as impact points that recruiters for AI roles look for.

LinkedIn and GitHub review

A profile and portfolio that show your capstone, code quality and deployed work.

Mock technical interviews

Practice rounds on Python, LLM apps, RAG, agents and deployment, with feedback.

AI interview preparation

Common questions on prompt design, embeddings, vector search and system design.

Capstone demo day

Present your deployed AI service and get it reviewed by mentors.

Job openings shared with you

Relevant GenAI, AI engineer and Python developer openings shared after your capstone.

YOUR PLACEMENT TIMELINE

How placement support runs alongside the course

1Week 10

Profile review

Resume, LinkedIn and GitHub updated around your projects.

2Week 11

Mock interviews

Technical practice rounds with mentor feedback.

3Week 12

Demo day

Capstone presentation and final review.

4After capstone

Job openings

Relevant openings shared and interview support.

Recently placed Growth IntelliLabs learners

From our data science, data analytics and full stack batches

See all placements →

Ajay

Data Science

PLACED AS

AI/ML Engineer

PACKAGE

₹5 LPA

Supriya

Full Stack

PLACED AS

Technical Associate

PACKAGE

₹5 LPA

Ravi Kiran

Data Analytics

PLACED AS

Software Engineer

PACKAGE

₹4.9 LPA

Hari Teja

Data Analytics

PLACED AS

Jr Business Analyst

PACKAGE

₹4.8 LPA

Santhosh

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PLACED AS

Data Migration

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₹4.7 LPA

Pavan

Data Analytics

PLACED AS

IT Analyst

PACKAGE

₹4.6 LPA

Vishal Preetham

Data Analytics

PLACED AS

Data Analyst Trainee

PACKAGE

₹4.5 LPA

Abhilash

Data Science

PLACED AS

Project Engineer

PACKAGE

₹4.2 LPA

Placement assistance is provided after you complete the capstone project. It does not guarantee a job offer; outcomes depend on your background, effort and the job market.

STUDENT STORIES

AI Python course reviews from our learners

4.9

★★★★★

Average from 250+ learner reviews

SAMPLE REVIEWS AND RATING · replace with verified ones before running ads

★★★★★✓ Verified learner

“I had used ChatGPT, but never built with it. By week 8 I had an agent running against our internal APIs, and my team now uses it daily.”

Built: Internal support agent

Rahul Menon

Backend developer, Bengaluru

★★★★★✓ Verified learner

“The deployment month was the most useful part. FastAPI, Docker and cloud, step by step, which I could not find in free tutorials.”

Built: Deployed document Q&A API

Priya Sharma

Software engineer, Pune

★★★★★✓ Verified learner

“The offline classes kept me consistent. Mentors reviewed my code every week and pointed out things I would never have noticed myself.”

Built: Invoice data extractor

Ananya Kulkarni

Data analyst, Mumbai

★★★★★✓ Verified learner

“Placement support helped me rewrite my resume around the projects. I started getting calls for GenAI roles within a month.”

Built: Multi-tool research agent

Vikram Reddy

Python developer, Hyderabad

★★★★★✓ Verified learner

“I work full time, so lifetime recordings mattered. I rewatched the LlamaIndex classes twice before building my capstone.”

Built: Document Q&A assistant

Sneha Patel

Full-stack developer, Ahmedabad

★★★★★✓ Verified learner

“The community is active even after the course. I still get help when I try new frameworks at work.”

Built: Ticket triage automation

Arjun Das

Tech lead, Kolkata

FAQ

AI Python Engineering course FAQs

Can't find your answer? Register above and our team will call you within 24 hours.

A 12-week, mentor-led programme where working developers learn to build and deploy AI applications with Python: LLM apps, prompt engineering, AI agents with LangChain and LlamaIndex, and deployment with FastAPI, Docker and the cloud.

Working developers and tech professionals who already write code. We revise Python fundamentals for AI in the first two weeks, so you do not need prior AI experience.

Both. Choose live online classes or in-person classroom sessions. The curriculum, mentors and projects are the same in both modes.

The online batch is ₹25,000 and the offline batch is ₹30,000. Our admissions team shares payment options on your counselling call.

An AI workflow automation tool, a document Q&A assistant with LlamaIndex, a multi-tool AI agent with LangChain, and a capstone AI service deployed with FastAPI, Docker and the cloud.

Yes. After you complete the capstone, you get resume and LinkedIn guidance, interview preparation and relevant job openings shared with you. Placement assistance does not guarantee a job offer.

Every class is recorded. You get lifetime access to the recordings, and you can ask doubts in the learner community.

Yes. You receive a Growth IntelliLabs course completion certificate with a unique credential ID after finishing the capstone project.

Your move into AI engineering starts with the next batch.

18 seats left in the 5 Oct batch. Online ₹25,000 · Offline ₹30,000. Placement assistance and lifetime recordings included.