What You’ll Learn

Module 1: Generative AI Fundamentals

• Understanding Artificial Intelligence and Generative AI
• Evolution of Large Language Models (LLMs)
• Real-world AI applications
• AI ecosystem and future trends

Module 2: Prompt Engineering

• Prompt design principles
• Zero-shot & Few-shot prompting
• Role-based prompting
• Prompt optimization techniques
• Best practices for enterprise AI

Module 3: Building LLM Applications

• Working with Large Language Models
• Building AI-powered applications
• API integration concepts
• Creating intelligent workflows

Module 4: Understanding Vector Embeddings

• What are embeddings?
• Semantic search
• Similarity search
• Vector databases fundamentals
• Knowledge representation

Module 5: Understanding Retrieval-Augmented Generation (RAG)

• Introduction to RAG architecture
• Knowledge retrieval
• Document indexing
• Context-aware AI responses
• Enterprise use cases

Module 6: Advanced RAG Implementation

• Optimizing retrieval quality
• Chunking strategies
• Context management
• Performance improvements
• Production-ready RAG systems

Module 7: Agentic AI Implementation

• AI Agents architecture
• Autonomous task execution
• Multi-step reasoning
• Agent workflows
• Real-world business automation

Module 8: MCP (Model Context Protocol) Servers

• Understanding MCP
• AI tool integration
• Connecting external systems
• AI-powered workflows
• Building scalable AI assistants

Bonus Learning Modules

Model Training vs Fine-Tuning

Understand when to train, fine-tune, or use prompting for AI models.

Guardrails & MLOps

Learn how to deploy AI responsibly with monitoring, governance, security, and operational best practices.

Capstone Project

Build a complete AI application that demonstrates your practical skills and can be showcased during interviews.

Additional Expert Sessions (4 Hours)

Attend bonus sessions covering emerging AI trends, implementation tips, and career guidance.

Capstone Project

During the masterclass, you’ll work on an industry-inspired capstone project where you’ll:

• Build an AI-powered application from scratch
• Apply Prompt Engineering, RAG, and AI Agent concepts
• Integrate multiple AI capabilities into a single solution
• Create a portfolio-ready project to showcase in interviews and on your resume

Learning Outcomes

By the end of this course, you will be able to:

• Understand the core concepts of Generative AI and LLMs
• Design effective prompts for real-world applications
• Build AI-powered applications using modern frameworks
• Implement Retrieval-Augmented Generation (RAG)
• Develop intelligent AI Agents for task automation
• Work with Model Context Protocol (MCP) Servers
• Apply Vector Embeddings for semantic search
• Understand AI deployment, guardrails, and MLOps basics
• Build and present an industry-ready capstone project
• Gain practical AI skills aligned with current hiring trends

Why Choose This Masterclass?

• Live instructor-led, hands-on workshop format
• Learn by building—not just watching
• Industry-focused curriculum covering the latest AI technologies
• Portfolio-ready capstone project
• Dedicated doubt-clearing sessions
• Covers high-demand skills including Agentic AI, RAG, MCP Servers, and LLM Applications
• Ideal for students, developers, working professionals, and AI enthusiasts looking to build practical expertise.