Objective

Are you ready to look under the hood of the next generation of AI? In this session, we dive deep into the world of autonomous systems and via practical examples we try to see how the different components of Agentic AI interact together while answering to:

• What is MCP (Model Context Protocol)?
• What is an AI Agent?
• Agentic architectures?
• When to use SLMs or LLMs?
• Agent-to-agent (A2A) protocol?

Let’s not just talk about the “what”—we will see the how. We will explore practical use cases across the board, including:

• Business Analysts: Automating data insights.
• Performance Tuning: Identifying bottlenecks with intelligent assistants.
• Personal Productivity: Making AI work for you in your daily routine.
• Agent architectures: See how to unlock the full potential of agents.

A Practical, “Piece-by-Piece” Approach

This video is designed for those who learn by doing. We will move quickly through the essential theory to spend our time where it matters most: the practice. Together, we will build an agent from the ground up, piece by piece. You will see exactly how each component interacts and works in unison. I believe the best way to understand complex architecture is to see it in motion—let’s start building!