Join Our 90-Minute Masterclass and Learn How to Master GenAI & Build Production-Ready AI Applications.
Become aGenAI Developer in Just 70 Days.
Learn LLMs, RAG, AI Agents, Vector Databases, AWS & MLOps through real-world projects and mentorship.
Student Success Stories
Real training. Real skills. Real results — straight from our placed learners.
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What you’ll get in the 90 minutes Master Class
AI, ML, Deep Learning & GenAI Fundamentals
- What is Artificial Intelligence?
- Machine Learning vs Deep Learning vs GenAI
- Real-world AI Use Cases
- ChatGPT, Claude, Gemini Overview
- GitHub Copilot & Midjourney
How Large Language Models (LLMs) Work
- Understanding Tokens
- Embeddings Explained
- Transformers Architecture
- Training vs Fine-Tuning
- How Inference Works
GenAI Models & Ecosystem
- OpenAI GPT Models
- Anthropic Claude
- Google Gemini
- Meta Llama
- Open Source vs Closed Source
- API Models vs Local Models
Essential GenAI Tools
- ChatGPT for Productivity
- Claude for Business Use Cases
- Gemini for Research & Development
- Best Practices for AI Tools
Prompt Engineering Hands-On
- Zero-Shot Prompting
- One-Shot Prompting
- Few-Shot Prompting
- Chain of Thought Prompting
- Role-Based Prompting
Retrieval Augmented Generation (RAG)
- What is RAG?
- Why Hallucinations Happen
- Vector Databases Explained
- Embeddings & Semantic Search
- Building Intelligent Document Search
Projects You’ll Build
- Iris Flower Classification Project
- Breast Cancer Prediction System
- Wine Quality Classification Project
- Diabetes Prediction Model
- Book and Movie Recommendation Engine
- Transformer-Based NLP Project
- RAG Application with FAISS Vector Database
- RAG Application with Pinecone Vector Database
- Capstone Project (End-to-End): Build an Enterprise AI Assistant using Agentic AI, LangChain, RAG, AWS Bedrock, Pinecone/FAISS, and Azure Services with Real-Time Business Use Cases.
- 1LangChain + OpenAI Integration Project
- 2LangChain + FAISS + RAG Implementation
- 3Agentic AI Application Development
- 4Smart Budget Management AI Agent
- RUN9921rag.support_bot — vector queryRun
- RUN9920agent.invoice — tool callDone
- Chat
- AI Agents
- RAG / Vectors
- Embeddings
Why Learn With Us?
- Job-based curriculum
- Real-time trainer support
- Live platform instance
- Code labs and best practices
- Regular assessments + reviews
- Placement guidance and referrals
Who Should Join?
Why This Course Pays Back
Real numbers from the last 12 months of Raj Cloud cohorts. These are the outcomes the next session is engineered to put on your résumé.
Top Hiring Companies
& 500+ more partner companies across India and abroad.
What our students say
“Best decision I made for my career. Mentors code with you, not at you — the roadmap is realistic for someone still holding down a day job.”
“Nothing here is sugar-coated. They tell you when your project is mid, and they show you how to fix it. That kind of feedback is rare in this space.”
“Three live projects on my résumé before the cohort ended. Interview pipeline opened up within four weeks of completion.”
Where 20,000+ engineers got their break.
Real names. Real companies. Real offer letters.
“Raj Cloud's AWS course is the only one that actually showed me how things work in production. Got placed at Infosys within 3 months.”
“The curriculum is incredibly well-structured. Every module builds on the last. I went from zero to deploying containerised microservices.”
“Finally a course that doesn't waste your time. Pure depth, zero fluff. The Kubernetes module alone is worth the entire fee.”
“Raj Cloud's AWS course is the only one that actually showed me how things work in production. Got placed at Infosys within 3 months.”
“The curriculum is incredibly well-structured. Every module builds on the last. I went from zero to deploying containerised microservices.”
“Finally a course that doesn't waste your time. Pure depth, zero fluff. The Kubernetes module alone is worth the entire fee.”
“Raj Cloud's AWS course is the only one that actually showed me how things work in production. Got placed at Infosys within 3 months.”
“The curriculum is incredibly well-structured. Every module builds on the last. I went from zero to deploying containerised microservices.”
“Finally a course that doesn't waste your time. Pure depth, zero fluff. The Kubernetes module alone is worth the entire fee.”
“I studied at multiple platforms before. Raj Cloud is in a different league. The instructors actually work in the industry.”
“The project-based approach forced me to build real things from day one. My portfolio got me an interview at 4 companies.”
“Excellent mentors who are always available. The community of learners is also incredibly supportive. 10/10 would recommend.”
“I studied at multiple platforms before. Raj Cloud is in a different league. The instructors actually work in the industry.”
“The project-based approach forced me to build real things from day one. My portfolio got me an interview at 4 companies.”
“Excellent mentors who are always available. The community of learners is also incredibly supportive. 10/10 would recommend.”
“I studied at multiple platforms before. Raj Cloud is in a different league. The instructors actually work in the industry.”
“The project-based approach forced me to build real things from day one. My portfolio got me an interview at 4 companies.”
“Excellent mentors who are always available. The community of learners is also incredibly supportive. 10/10 would recommend.”
Trainer · CEO · Certificate
Ms. Shaik Razia
- 10+ Years of Industry & Training Experience
- Expert in Generative AI, LLMs, RAG, Agentic AI & AI Automation
- Hands-on experience with OpenAI, AWS Bedrock, Azure AI, LangChain & Pinecone
- Specialized in Prompt Engineering, Vector Databases & AI Agent Development
- Built and deployed enterprise-grade AI applications across multiple domains
- Expertise in Fine-Tuning, RAG Systems, Chatbots & Multi-Agent Workflows
- Delivered real-world AI projects using OpenAI, AWS, Azure, Hugging Face & Streamlit
- Focused on practical, industry-oriented learning with live project implementation
- 15+ years in IT services and data engineering
- Founder of a placement-first training studio
- Empowered 20,000+ learners into industry roles
- Active hiring-partner network across Bengaluru, Hyderabad & Pune
- Delivered training programs for 100+ batches, corporate teams, and educational institutions
- Helped organizations identify, nurture, and hire skilled technology professionals
- Built a strong ecosystem connecting learners, trainers, recruiters, and industry leaders
- Mentored emerging trainers and scaled India-wide delivery teams
Our goal is simple — prepare you with real skills, real projects and real opportunities.
Detailed Course Content
Six engineered modules. Each one ships with hands-on labs, a real review and a portfolio-ready build at the end.
Python Programming & Data Structures
- Python Fundamentals & Syntax
- Functions, Loops & Conditional Statements
- Lists, Tuples, Sets & Dictionaries
- File Handling (CSV, JSON)
- Object-Oriented Programming (OOP)
AI, ML, Deep Learning & GenAI Foundations
- Introduction to Artificial Intelligence
- Machine Learning vs Deep Learning
- NLP Fundamentals
- AI Industry Use Cases
- Generative AI Concepts
Large Language Models & Prompt Engineering
- How LLMs Work
- Transformers Architecture
- GPT, Claude, Gemini & Llama
- Prompt Engineering Techniques
- Chain of Thought Prompting
RAG, LangChain & Vector Databases
- Retrieval Augmented Generation (RAG)
- Chunking Strategies
- Embeddings & Semantic Search
- LangChain Framework
- Vector Databases (Pinecone, ChromaDB, FAISS)
Fine-Tuning, Agentic AI & LLMOps
- LLM Fine-Tuning Techniques
- LoRA & QLoRA
- AI Agents & MCP
- LangSmith
- Model Evaluation
Cloud Deployment & Real-World GenAI Projects
- AWS Bedrock
- Azure OpenAI
- Production Deployment
- End-to-End GenAI Applications
- Capstone Projects
Placement Process
Why Choose Us?
Five reasons cohorts ship faster with us — proof points, not promises.