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Generative AI & RAG EngineeringGenerative AI course in Chennai · classroom & live online

Build production-grade GenAI apps: RAG over your own data, agents that use tools, deployed on the cloud.

12 WeeksIntermediateProgramClassroom + Online⚡ Fast-track available
Request syllabus →Interview prep →
8modules
40lessons
8hands-on labs
76hours

What you'll learn in this Generative AI course

Write clean, working Python programs
Use LLMs effectively and responsibly
Integrate leading LLMs into real applications
Make LLMs answer accurately from your own data
Build AI agents that take safe actions
Build and deploy AI solutions on AWS
Run LLM applications reliably in production
Present your skills confidently to employers

Who this Generative AI course is for

🛠️

IT professionals

Move up from support or operations roles.

💻

Developers & engineers

Add the next skill your team needs.

🎓

Graduates with basics

Turn foundations into job-ready skills.

✓ Basic IT or programming knowledge✓ Comfortable with computers and the command line✓ A laptop for hands-on labs

New to Generative AI? Our advisors can suggest the best starting point for your background.

What you'll build

Generative AI course syllabus

8 modules · 40 lessons · 8 major labs · 76 hours

01

Python fundamentals

6 lessons · 1 lab
12 hrs+
  1. Syntax, variables and data types
  2. Control flow and functions
  3. Lists, dicts and comprehensions
  4. Files, modules and packages
  5. Errors and exceptions
  6. Virtual environments and pip
HANDS-ON LAB

Build a command-line tool that cleans and summarises CSV data

02

LLM fundamentals

5 lessons · 1 lab
8 hrs+
  1. How large language models work
  2. Tokens, context windows and cost
  3. Prompt engineering
  4. Structured output
  5. Safety, bias and limits
HANDS-ON LAB

A reusable prompt library for real tasks

03

Building with LLM APIs

5 lessons · 1 lab
8 hrs+
  1. OpenAI API
  2. Anthropic Claude API
  3. Google Gemini API
  4. Streaming and function calling
  5. Cost, rate limits and model choice
HANDS-ON LAB

One app that can switch between three model providers

04

Retrieval-augmented generation (RAG)

5 lessons · 1 lab
12 hrs+
  1. Chunking strategies
  2. Embeddings
  3. Vector databases
  4. Hybrid search and re-ranking
  5. Evaluating RAG answers
HANDS-ON LAB

Chat-with-your-docs assistant with citations

05

AI agents

5 lessons · 1 lab
10 hrs+
  1. Tool and function calling
  2. Planning and memory
  3. Multi-agent patterns
  4. Model Context Protocol (MCP)
  5. Guardrails and human approval
HANDS-ON LAB

Customer-support agent that looks up orders

06

AI and ML on AWS

5 lessons · 1 lab
12 hrs+
  1. SageMaker for training and deployment
  2. Amazon Bedrock and foundation models
  3. RAG with Bedrock Knowledge Bases
  4. Amazon Q for developers and business
  5. Responsible AI on AWS
HANDS-ON LAB

Build a Bedrock-powered assistant over company documents

07

LLMOps

5 lessons · 1 lab
8 hrs+
  1. Prompt versioning
  2. Evaluation suites
  3. Tracing and observability
  4. Guardrails
  5. Cost control
HANDS-ON LAB

Evaluation harness that scores every release

08

Career launch

4 lessons · 1 lab
6 hrs+
  1. Resume and LinkedIn that get shortlisted
  2. Building your project portfolio
  3. Interview preparation and mock rounds
  4. Job search strategy
HANDS-ON LAB

Mock technical + HR interview with feedback

Your 12 weeks journey

WEEKS 1–2Python fundamentals
WEEK 3LLM fundamentals
WEEK 4Building with LLM APIs
WEEKS 5–6Retrieval-augmented generation (RAG)
WEEKS 7–8AI agents
WEEKS 9–10AI and ML on AWS
WEEK 11LLMOps
WEEK 12Career launch

Generative AI tools you'll use

PythonVS CodeOpenAIClaudeGeminiOpenAI APIClaude APIGemini APILangChainLlamaIndexpgvectorLangGraphMCPSageMakerBedrockLangSmith

Generative AI projects you'll build

PROJECT 01

Customer-support agent that looks up orders

Hands-on project from the AI agents module.

PROJECT 02

Build a Bedrock-powered assistant over company documents

Hands-on project from the AI and ML on AWS module.

PROJECT 03

Evaluation harness that scores every release

Hands-on project from the LLMOps module.

Generative AI course fees & batches in Chennai

Course fee

₹51,999 incl. GST

Save up to 13%: from ₹45,000. Ask an advisor about the offer for your batch.

Pay in full or in two instalments. Online learners outside India: see the fee in your currency on our worldwide page.

Get the fee & next batch →Ask on WhatsApp

What the fee includes

  • 76 hours of live, instructor-led classes
  • Hands-on labs and 3 portfolio projects
  • Session recordings for revision
  • 1:1 mentoring
  • Interview preparation: questions and mock tests
  • Placement assistance: resume reviews, mock interviews and referrals

Batches & mode

  • Weekday batches
  • Weekend batches for working professionals
  • Fast-track batches
  • Classroom at our Arumbakkam centre, Chennai
  • Live online from anywhere

Generative AI certification & exam cost

🎓
Certification this course prepares you for
AWS Generative AI Developer – Professional (AIP-C01)

The exam is booked directly with the certification provider, and its cost is set by the provider for your country. Our advisors share the current exam cost and help you plan the right exam date, with mock tests beforehand.

SOTT Academy certificate of completion (specimen)
Specimen for illustration only. Not a valid certificate. © SOTT Academy
Awarded on completion

SOTT certificate of completion

Every learner who completes the Generative AI course is awarded the SOTT Academy Certificate of Completion, with your name, the course, the date and a unique certificate number.

  • Awarded when you complete the course
  • Unique certificate number
  • Add it to your resume and LinkedIn profile

Generative AI jobs & career path

With placement assistance: resume and LinkedIn reviews, mock interviews, 1:1 mentoring and referrals to openings where available.

Step-by-step guide: AI Engineer career path · Generative AI & RAG learning path

STEP 1Data / AI AnalystInsights and reporting
STEP 2ML / AI EngineerModels and AI features
STEP 3Senior AI EngineerProduction GenAI systems
STEP 4AI LeadTeams and roadmaps
STEP 5Head of AI / ArchitectStrategy and platforms
Free with this course

Interview prep: 3 levels, mock tests and model answers

Practise the questions real interviewers ask, from fresher to lead.

Fresher · 0–3 yearsMid-level · 3–8 yearsExperienced · 8–15 years
Start practising →

Generative AI course FAQ

What is RAG?+
Retrieval-augmented generation (RAG) lets an AI model answer from your own documents and data, with citations, instead of relying only on what it was trained on.
Who is this Generative AI & RAG course for?+
Developers, data professionals and engineers who want to build real generative AI applications, and freshers with programming basics.
Do I need AI or machine-learning experience?+
Prior AI experience isn't required. Basic programming logic helps, and the course starts with Python and LLM fundamentals before RAG and agents.
How long is the course?+
12 weeks, about 76 hours across 8 modules, with a hands-on lab in every module.
Which tools and platforms will I use?+
Python, LLM APIs, embeddings and vector databases, RAG pipelines, AI agents, and AI services on AWS such as Amazon Bedrock.
What projects will I build?+
A customer-support agent that looks up orders, a Bedrock-powered assistant over company documents, and an evaluation harness that scores every release.
Is this just prompt engineering?+
Prompting is one part of it. Most of the course is engineering: retrieval, data pipelines, agents, evaluation and deployment on the cloud.
Which certification does it align to?+
AWS Certified Generative AI Developer – Professional (AIP-C01). We guide you on preparation and booking.
Is the course online or in the classroom?+
Both. Join us at our Arumbakkam centre in Chennai or live online from anywhere. Session recordings are shared with you for revision, so you can catch up if you miss a class.
Are there weekend and fast-track batches?+
Yes. We offer weekday, weekend and fast-track batches, so you can choose the schedule that suits you best.
What jobs can this lead to?+
Generative AI Engineer, AI Engineer, LLM Application Developer and AI Solutions Engineer roles.
Do you help with placements?+
Yes. Our placement assistance includes resume and LinkedIn reviews, mock interviews, 1:1 mentoring and referrals to openings where available, so you go into interviews well prepared.
Can I attend a free demo class first?+
Yes. Book a free consultation and our advisor will arrange a demo session for you.
What are the fee and payment options?+
Our advisors will share the current fee, upcoming batch dates and payment options for the batch that suits you.
I have another question. Who can I ask?+
Our advisors are happy to help. Call or WhatsApp us, or send a message from the Contact page, and we will get back to you within one working day.
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