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Generative AI

GenAI & LLM Engineering

Prompt engineering, RAG pipelines, vector databases and AI agents — built into a shipped project.

12 weeks
Madhapur, Hyderabad · Live Online
Intermediate
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Overview

Our flagship Generative AI program. You'll go from calling an LLM API to building a complete RAG-powered application with agentic capability — the full modern GenAI stack, hands-on.

Who Should Attend

Developers wanting to move into AI engineering, or anyone with basic Python who wants to build real AI applications.

Prerequisites

Basic Python programming. No prior AI/ML experience required.

Fees & Batch Dates Current fees, upcoming batch dates and live vs. self-paced options are shared directly by an advisor — accurate pricing changes too often to publish a number here that might already be stale.
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Curriculum

What you'll learn

Modules

01
AI & LLM FoundationsHow language models actually work, and where they break.
02
Prompt EngineeringStructured prompting, evaluation and reliable outputs.
03
RAG PipelinesChunking, embeddings and retrieval, grounding an LLM in your own data.
04
AI AgentsTool-using agents and multi-step workflows.

Tools & Technologies

OpenAI APILangChainVector Databases (Pinecone/Chroma)Python

Projects You'll Build

RAG Knowledge AssistantChunk, embed and retrieve real documents, then ground an LLM's answers in your own data.

Career Roles This Prepares You For

GenAI EngineerLLM EngineerAI Application Developer
Related resources

Go deeper before you enroll

GenAI Engineer RoadmapGenAI Interview QuestionsWhat is RAG?
Certification

What you walk away with

A Skill IT Education certificate of completion, and — most importantly — a completed project for your portfolio. This is an academy certificate, distinct from third-party industry certifications like CEH or PMP, which are issued directly by their certifying bodies.

Before you enroll

Questions people actually ask

Do I need a machine learning background?
No. This course focuses on building applications with existing LLMs via APIs, not training models from scratch.
What's the difference between this and the RAG Systems course?
This is the full program covering prompting, RAG and agents. RAG Systems is a focused, shorter deep-dive on retrieval specifically.

Check the next GenAI & LLM Engineering batch

Talk to an advisor for current fees, batch dates and mode of delivery.

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