Course Overview

Course Overview

Build Practical Skills in Generative AI & Agentic AI

40-Hour | 1-Month Advanced AI Masterclass

AI is moving beyond simple prompts and chatbots. Organizations are increasingly exploring LLMs, RAG systems, AI agents, MCP, and AI-powered applications to improve the way people work and solve business problems.

The AI Masterclass is designed for learners and professionals who want to move beyond basic AI usage and understand how modern AI systems are built, integrated, and managed.

From Generative AI and Prompt Engineering to LLM applications, Vector Embeddings, RAG, Agentic AI, MCP, and AI governance, the program provides a structured introduction to the technologies shaping the next generation of AI applications.

What You Will Learn

Generative AI & Prompt Engineering

Understand the fundamentals of Generative AI and learn how to design effective prompts for different business and technical use cases.

Building LLM-Based Applications

Learn how Large Language Models can be integrated into practical applications and workflows.

Vector Embeddings

Understand how text and other information can be represented as vectors and used for semantic search and AI applications.

RAG & RAG Improvements

Explore Retrieval-Augmented Generation (RAG) and learn how retrieval can be combined with LLMs to create more useful, context-aware AI applications.

Agentic AI

Understand how AI agents can reason through tasks, use tools, interact with systems, and support multi-step workflows.

MCP Servers & Model Development

Explore Model Context Protocol (MCP) and how AI applications can connect with external tools and data sources. Gain an introduction to model development and training concepts.

AI Guardrails & MLOps

Learn the fundamentals of responsible AI implementation, including guardrails, monitoring, deployment, and MLOps concepts.

Capstone Project

Bring your learning together through a practical AI capstone project, applying multiple concepts from the program to a real-world use case.

Your Learning Journey

Understand Generative AI → Build LLM Applications → Work with Embeddings → Develop RAG Systems → Explore AI Agents → Connect AI with MCP → Understand Guardrails & MLOps → Build a Capstone Project

This Course Includes

• Generative AI
• Prompt Engineering
• Large Language Models (LLMs)
• LLM-Based Applications
• Vector Embeddings
• RAG & RAG Improvements
• Agentic AI
• MCP Servers
• Model Development & Training Concepts
• AI Guardrails
• MLOps Fundamentals
• Practical Capstone Project

From AI User to AI Builder

This masterclass is designed to take you beyond simply using AI tools.

You will explore how modern AI systems are structured, how different technologies work together, and how AI can be developed and integrated into practical applications.

The focus is on building a foundation for AI application development and enterprise AI adoption — skills that can help you participate in the rapidly evolving AI ecosystem.