Google ADK Crash Course: Build AI Agents Step-by-Step (From Scratch)

📌 Code & Resources (GitHub): https://github.com/mayank953/Youtube/tree/main/ADK 💬 Join the AI Agents & Automation Community: https://www.skool.com/ai-agent-automation-5168 Description: AI Agents are no longer just a concept. They are becoming the foundation of how modern AI systems are built. And Google ADK (Agent Development Kit) is one of the most important frameworks to understand if you want to work seriously with Agentic AI. In this Google ADK crash course, I explain the entire ADK framework from scratch, focusing on how real AI agents are designed, structured, and executed in production-style systems. This video is intentionally structured to be easy to follow, conceptually clear, and practical. Instead of jumping straight into implementation, we first build strong intuition around agents, workflows, tools, state, and orchestration, and then connect everything together step by step. What you’ll learn in this video: What Google ADK is and where it fits in Agentic AI Core concepts behind agents in ADK How structured outputs (JSON) work with agents Model configuration and reasoning flow Tools and tool execution inside ADK Sessions, runner, and state management Multi-agent system design Workflow agents and orchestration Callbacks and execution lifecycle MCP (Model Context Protocol) with ADK How to structure real-world ADK projects All concepts are explained using visual breakdowns, examples, and clear mental models so that even complex ideas feel easy to understand. Who this video is for: Developers learning Agentic AI Engineers exploring Google ADK AI practitioners building agent systems Founders working on AI-powered products Anyone preparing for AI-heavy roles in 2025–2026 Timestamps: 00:00:00 Introduction: Mastering Google Agent Development Kit (ADK) 00:02:30 The 12-Step Course Roadmap & Overview 00:07:20 Module 1: Installation and Setup of ADK 00:10:18 Setting Up Your Gemini API Key 00:12:35 Installing ADK via Pip & Virtual Environm