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Home Course Mastering GenAI / LLM Engineering

Mastering GenAI / LLM Engineering

Welcome to our comprehensive GenAI & LLM Engineering course! If you’re eager to build production-grade AI applications and excel in the fast-growing field of AI engineering, you’ve come to the right place. This course is meticulously designed to take you from Python fundamentals all the way to deploying real-world AI systems — with confidence.

Enrolled:1

Last Updated:12/06/2026

22 LPA

Average Package

120%

Salary Hike

83 LPA

Highest Package

What I will learn?

Material Includes

100+ Live Classes & Recordings

24/7 Live Doubt Support

400+ Practice Questions

HackerRank Tests & Topic wise Quizzes

Case Studies

Access to Global Peer Community

Lifetime Support

Referrals

About Course

Welcome to Mastering GenAI / LLM Engineering, your complete roadmap to building the next generation of AI-powered applications. This comprehensive course is designed to take you from the fundamentals of Generative AI to advanced Large Language Model (LLM) engineering, equipping you with the practical skills needed to thrive in the rapidly evolving AI industry.

Course Curriculum

Python & Engineering Foundations

Python Core — Data Types, Functions, OOP
Async Python — async/await, event loops
Python Typing — type hints, Pydantic models
REST APIs & JSON fundamentals
Building APIs with FastAPI
Docker for AI Applications
Git & Version Control for AI Projects
Quiz — Python & Foundations

What is an AI Engineer?

LLM Foundations & Ecosystem

Tokens & Tokenisation
Context Window — What it is and Why it Matters
Sampling — Temperature, Top-K, Top-P
Closed vs Open-Source Models
LLM vs SLM
Pretrained vs Fine-Tuned Models
RAG vs Fine-Tuning — When to Use Which
OpenAI GPT & o-series Models
Anthropic Claude Models
Google Gemini Models
Meta Llama, Mistral, Cohere, DeepSeek
Running Models Locally — Ollama & LM Studio
Hugging Face Hub & Inference SDK
OpenAI Response API & Gemini API
Quiz — LLM Ecosystem

Prompt Engineering + API Mastery

Zero-Shot Prompting
Few-Shot Prompting
Chain-of-Thought (CoT) Prompting
Power of Two
ReAct Prompting
System Prompts — Roles & Constraints
Structured Outputs — JSON / Schema
Prompt Injection & Defense Strategies
Streaming Responses via API
Function Calling & Tool Calling
Retries, Fallbacks & Error Handling
Token Usage Tracking & Cost Control
OpenAI API — Hands-on
Claude API — Hands-on
Gemini API — Hands-on
OpenRouter — Unified API Gateway
Observability with LangSmith & LangFuse
Quiz — Prompt Engineering

Context Engineering

Embeddings + Vector Databases

What are Embeddings?
Similarity Search — Cosine, Dot Product, Euclidean
Indexing Embeddings
Performing Similarity Search
Use Case — Semantic Search
Use Case — Recommendation Systems
Use Case — Anomaly Detection
Use Case — Data Classification
OpenAI Embeddings API
Cohere & Gemini Embedding APIs
Jina & Sentence Transformers
Vector DB — Chroma
Vector DB — FAISS
Vector DB — Pinecone
Vector DB — Qdrant
Vector DB — Weaviate
Vector DB — LanceDB
Vector DB — Supabase & MongoDB Atlas
Hands-on — Build a Semantic Search Engine
Quiz — Embeddings & Vector DBs

RAG Systems

What is RAG & Why it Matters
RAG Pipeline — Ingestion & Chunking
RAG Pipeline — Embedding & Vector Storage
RAG Pipeline — Retrieval & Generation
Chunking Strategies — Fixed, Semantic, Recursive
Hybrid Search — Dense + Sparse
Re-ranking & Metadata Filtering
Citations & Source Attribution
Implementing RAG with LangChain
Implementing RAG with LlamaIndex
Implementing RAG with Haystack
Implementing RAG with RAGFlow
Hands-on — Build a Document Q&A System
Quiz — RAG Systems

Advanced RAG + Evaluation

Multi-Hop Retrieval
Cache-Augmented Generation (CAG)
Hallucination Detection & Reduction
LLM-as-Judge Pattern
Faithfulness Score
Answer Relevance & Context Recall
Evaluation with Ragas
Evaluation with DeepEval
Evaluation Pipelines with LangSmith
Hands-on — Evaluate & Improve a RAG Pipeline

Agentic AI Systems

What are AI Agents?
Agent Use Cases & Design Patterns
Tool Calling & Function Calling
Planning & Reasoning Loops
Short-Term vs Long-Term Memory
Multi-Agent Collaboration Patterns
ReAct Agent — Manual Implementation
OpenAI AgentKit & Agent SDK
Claude Agent SDK
Hands-on — Build a Research Agent
Quiz — AI Agents

Agent Frameworks + MCP

Intro to LangGraph
Building Stateful Agents with LangGraph
Intro to CrewAI — Roles & Crews
Multi-Agent Pipelines with CrewAI
AutoGen — Conversational Agent Framework
What is Model Context Protocol (MCP)?
MCP Host — Orchestrating LLM + Tools
MCP Server — Exposing Tools & Data
MCP Client — Connecting to MCP Servers
Building an MCP Server — Hands-on
Building an MCP Client — Hands-on
Dynamic Tool Integration at Runtime
Quiz — Agent Frameworks & MCP

Multimodal + Voice AI

What is Multimodal AI?
Image Understanding & Visual QA
Image Generation with DALL-E API
Video Understanding
Audio Processing
Text-to-Speech (TTS)
Speech-to-Text with Whisper API
OpenAI Vision API — Hands-on
Hugging Face Multimodal Models
LangChain for Multimodal Apps
LlamaIndex for Multimodal Apps
Real-Time Voice Pipelines with LiveKit
Voice AI with Pipecat
Hands-on — Build a Voice AI Assistant
Quiz — Multimodal AI

Local LLMs + Optimization

Deployment + LLMOps

Serving LLM APIs with FastAPI
Containerising AI Apps with Docker
Deploying to Cloud — AWS / GCP / Azure
Observability & Distributed Tracing
Monitoring — Latency, Cost & Quality
Cost Optimisation & Caching Strategies
Rate Limiting & Quota Management
LangServe — Deploying LangChain Apps
MLflow for LLM Experiment Tracking
Weights & Biases — LLM Monitoring
Quiz — Deployment & LLMOps

Safety + Guardrails

Understanding AI Safety Issues
Prompt Injection Attacks
Jailbreaks & Adversarial Inputs
Data Leakage & Privacy Violations
Bias & Fairness in LLM Outputs
Input & Output Validation
Guardrails & Content Moderation APIs
Adding End-User IDs in Prompts
Robust Prompt Engineering for Safety
Constraining Inputs & Outputs
Adversarial Testing
Quiz — Safety & Guardrails

System Design for AI

Capstone Projects

Student Ratings & Reviews

No Review Yet

No Review Yet

Our Instructors

Weekly schedule

Core Sessions

Live, hands-on, activity-led sessions conducted by the instructor

Sat, 12:00 PM – 3:00 PM (IST)

Sun, 12:00 PM – 3:00 PM (IST)

Doubt Sessions

Live, hands-on, activity-led sessions conducted by the instructor

Mon-Fri, 9:00 PM – 11:00 PM (IST)

What You Will Get Post Completion Of Your Program

Resume Building

Create a powerful, job-winning resume that highlights your skills and maximizes your chances of securing top tech roles.

Linkedin Profile Building

Optimize your LinkedIn profile to attract recruiters, showcase expertise, and unlock new career opportunities in tech.

Mock Interviews

Gain confidence with expert-led mock interviews, personalized feedback, and real-world interview scenarios.

Referrals

Enhance your job search with strong industry referrals, connecting you to exclusive opportunities at top tech companies.

The Ultimate Placement Toolkit

Access to Placement Master Sheet

Interview
Q&A Portal

WhatsApp Community

Regular
Guidance

Home Course Mastering GenAI / LLM Engineering

Mastering GenAI / LLM Engineering

Welcome to our comprehensive GenAI & LLM Engineering course! If you’re eager to build production-grade AI applications and excel in the fast-growing field of AI engineering, you’ve come to the right place. This course is meticulously designed to take you from Python fundamentals all the way to deploying real-world AI systems — with confidence.

Enrolled:1

Last Updated:12/06/2026

Enrollment validity: Lifetime

Total Enrolled

1
Duration

250 hours
Certificate

Certificate of completion

Lifetime Access
239+ Video Lessons
37+ Quizzes
58+ Downloadable Resources
61+ Online Judge questions
Live Classes
Continuous Updates

We have helped build 1000+ Careers

Before joining GetSDReady, I faced multiple rejections despite knowing the basics. The course helped me build strong fundamentals in DSA, C++, and System Design with clear, in-depth explanations. What stood out was how closely the content matched real interview questions — many topics were directly asked in my interviews. With consistent practice and mentorship, I was able to crack all rounds and secure a role in a product-based company with a 100% salary hike. Highly recommended for anyone serious about getting into top tech companies.

After joining GetSDReady, I built strong fundamentals in DSA and System Design, learning how to solve problems through patterns rather than just memorizing questions. The structured approach, constant support, and real interview-focused preparation made a huge difference. In my interviews, I was able to confidently solve DSA problems and design systems by applying exactly what I learned. Within a few months, I successfully transitioned into a product-based fintech company with an 80% salary hike.

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Boost Your Career with a Course Completion Certificate

Earning a course completion certificate enhances your resume, demonstrating your commitment to learning and skill development. It increases your chances of getting hired by showcasing your expertise to employers. A certified qualification can set you apart from other candidates, improve your credibility, and open new job opportunities in your field.

What Our Students Are Saying

See our Students Journey here

How Aniket prepared and cleared for Fintech company and got 80% hike | Get SDE Ready Success Story

From Rejections to 100% Hike 💯 | Get SDE Ready Success Story

How Nikil Cracked Top Tech Offers After 15 Years

How Soma Shaker Cracked Amazon SDE Interview with 150% Hike | Get SDE Ready Review

Somia’s Journey | Upskilling with Get SDE Ready | From DSA to System Design Success

From Wipro to a US Startup | 85% Salary Hike | Get SDE Ready DSA Success Story

How Miraj Cracked Multiple Job Offers with 65%+ Salary Hike! | DSA & System Design Success

How Akash Landed a Dream Job at Ecom Express DSA & System Design Success Story

How Shweta is able to crack offers from Walmart, Microsoft & Expedia with Get SDE Ready | Get SDE Ready Review

How Akshita cracked Nokia and got 45% hike

Pawan got 150% hike

Ankush cracked BharatPe & PayU | 250% hike with Get SDE Ready | Interview Questions discussed

How Raghu is able to crack 3 offers with Get SDE Ready | Get SDE Ready Review

Raghav Cracks Mastercard

Prabhat's Amazing Journey with Get SDE Ready: Transforming Tech Careers Seamlessly! | Coding | Tech

Gourang's Amazing Journey with Get SDE Ready: Transforming Tech Careers Seamlessly!

Shubham's Amazing Journey with Get SDE Ready: Transforming Tech Careers Seamlessly!

Start Learning Without Worry

Try the course for 7 days. If you don’t like it, get a full refund no questions asked.

Frequently Asked Questions

Easily find answers to common questions about our courses and services

Who should join this course?

Our courses are intended for anyone aspiring to become a Software Development Engineer. This includes university students who have very basic programming knowledge (2nd year or above), working professionals looking for a career switch or trying to upskill themselves, and anyone interested in the field of software development.

Is the amount refundable if I don't like the course?

This course offers a no-questions-asked, full refund policy effective within seven days of its registration.

What is the mode of the course, online or offline?

The course is 100% online. All the classes are going to be 100% live.

What if I miss a class?

You will be getting recordings of your classes and you will have lifetime access to them.

Are there any prerequisites?

Only basic programming knowledge is required.

Will there be doubt classes?

We have 24/7 live doubt support. Also, we conduct live doubt classes regularly as well in the weekdays whose timings are from 9pm-11pm.

Is placement guaranteed after completing the course?

Yes, we offer guaranteed placement upon successful completion of the course, including all required assessments and tests. Our program is structured to ensure you’re job-ready through rigorous training, real-world projects, and interview-focused preparation. Clearing the internal tests is a key part of the process to validate your readiness for placement opportunities.

What is the duration of the course?

The course’s duration is 3 months, though it can be extended if there is a need for additional classes focused on specific topics or further doubt sessions.

I have a full time job. Not sure if I will be able to make it?

The course is for working professional only. That’s why the timings are such: Instructor classes are on the weekends from 12pm-3pm. Doubt Classes are on the weekdays from 9pm-11pm.

Would there be any certificate on completion?

Yes! you will be getting certificate of completion.

Do you provide placement assistance?

Yes we provide placement assistance.

Its in 4 steps:

We will help you create a strong resume that increases your chances of getting shortlisted by companies.
⁠We will optimise your LinkedIn profile to ensure that recruiters can easily find and connect with you.
We will conduct mock interviews to help you assess your skills and prepare you to excel in real interviews.
We provide referrals to help you apply to top companies and get your interviews scheduled.

If I face any issues with my work or, due to an emergency, I am unable to attend the batch, can I join the next batch?

Yes, we completely understand that, as a working professional, you might face challenges. You can attend the live classes in any of the next three consecutive batches.

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