Weekends · For IT professionals

Generative AI for Developers

Build and deploy LLM apps, RAG systems and AI agents on weekends, without leaving your job.

For developers in Sector V and New Town who want to move into AI work: LLM APIs, retrieval (RAG), agents and tool calling, evaluation, security and deployment, taught on weekends in our classroom with a deployed project at the end. Entry is by a short coding check.

Pre-register with a short call Get the syllabus on WhatsApp

Tools you'll use

Python
OpenAI / Claude / Gemini APIs
LangGraph
Vector databases
MCP
FastAPI
Docker

A developer works with code and an AI assistant on a dark computer screen.

What you walk out with

A deployed RAG application
An AI agent with tool calling and approvals
An evaluation harness and a security test report

Where this takes you

GenAI / LLM application developer
AI engineer

₹7.1–10.5 lakh a year at 1–3 years, ₹11.2–14.6 lakh at 3–6 years

Typical Kolkata pay, from AmbitionBox. Pay varies with the employer, your experience and the interview. Most GenAI roles ask for 2–5 years of software experience, so this course is built for working developers.

What Kolkata employers ask for

How often Kolkata job ads ask for each skill, and where the course covers it.

LLM APIs (OpenAI, Claude, Gemini)

Covered in: Weekends 1–2
APIs and integrations

Covered in: Throughout
Python

Covered in: Entry requirement
Agents and tool calling

Covered in: Weekends 6–8
Docker / CI-CD

Covered in: Weekends 11–12
RAG

Covered in: Weekends 3–5
Vector databases

Covered in: Weekends 3–5

Syllabus, week by week

Every block is taught live, practised with trainer help, then tested on a changed problem before you move on.

Weekends 1–2

1. LLM APIs and structured outputs

You build: A document-extraction service with tests.
Weekends 3–5

2. Retrieval and RAG

You build: A knowledge assistant that cites sources and refuses when evidence is missing.
Weekends 6–8

3. Agents, tools and MCP

You build: A tool-using agent with approval steps.
Weekends 9–10

4. Evaluation and security

You build: An evaluation harness and a prompt-injection test.
Weekends 11–12

5. Deploy and present

You build: A deployed app with monitoring, presented to a panel.

Your portfolio and your certificate

Final project

A deployed knowledge-and-action assistant with evaluation on 100+ cases and a security test.

Practical test

Two hours: diagnose a seeded regression and block an unauthorised action.

Certificates

LearnPact Generative AI certificate
A deployed project on your GitHub

Right for you if you are

Developers and testers in IT services moving into AI work
B.Tech/MCA graduates who already code

Probably not for you if

Beginners without programming experience; start with AI Automation

Not sure this is the right course? Take the 2-minute course match →

Who teaches you

Experienced industry practitioners who use these tools in their own work, teaching hands-on in every class.

Be first to hear when it opens

Pre-register with a short call and we'll send you the dates and the fee as soon as the first batch is scheduled.

Pre-register with a short call Ask on WhatsApp Try a free Sunday Series session