AI Agents with Google’s ADK Bootcamp: Build with Gemini, Protocols & AgentOps

Get hands-on with Google's Agent Development Kit (ADK) and learn how to build powerful AI agents that reason, act, and collaborate. This immersive two-day live course takes you from zero to launch-ready agents, walking you through the core tools, techniques, and protocols behind production-grade agent development. You'll connect Gemini and other LLMs, define custom tools, implement memory, master patterns like RAG, and explore security, deployment, and evaluation. If you're looking to build smarter software that talks, thinks, and helps—this is your launchpad.

Course Format and Delivery

Delivery Method: Instructor-Led Training (ILT) or Instructor-Led Online (ILO)
Schedule: 2 Days

Group Discount: 20% off for 3+ attendees from the same organization.

About this course

This bootcamp delivers a fast-paced, hands-on journey into agent creation with Google’s ADK and Gemini. Whether you're coding your first tool or preparing for multi-agent orchestration, you’ll walk away with a working knowledge of agent design, evaluation, and deployment, plus a practical understanding of ADK’s ecosystem.

What you will learn

Understand the agent architecture and core ADK workflow.
Build and test agents using Gemini, open models, and Python tools.
Apply patterns like RAG and memory buffers in real-world tasks.
Integrate agents with Model Context Protocol (MCP) and A2A.
Evaluate, monitor, and deploy agents with confidence using AgentOps principles.
Address safety and security risks using best-practice guidelines.

What you will need

A computer with Python installed and working CLI access
Code editor (e.g., VS Code) and browser access
Google Cloud Platform account (with billing enabled/free credits)
Basic knowledge of Python, APIs, and LLM principles
Comfort using the terminal and following setup instructions

This course is great for

Software engineers and backend developers building intelligent systems.
AI/ML engineers seeking production-ready agent frameworks.
Solution architects evaluating agent stacks and infrastructure options.
Technical leads and product teams prototyping AI-driven automation.

Topics Covered

Day 1
Session 1: Intro to Agents & ADK

What are AI agents and why now?
ADK core concepts (agent, tool, memory, workflow)
Demo: adk init structure walkthrough
Hands-on: Create your first agent
Discussion: Agent use cases
Q&A

Session 2: Models and Tools

Connecting to Gemini via Vertex AI
Using open models via LiteLLM
Defining Python tools and schemas
Demo: Agents in action with Gemini + tool use
Hands-on: Create a Python tool and link it to your agent
Q&A

Session 3: Memory and Multimodality

Conceptual flow and memory persistence
Types of memory: buffer, summary
Implementing memory in ADK
Hands-on: Add memory and interact using adk web
Discussion: What agents should remember
Q&A

Session 4: Agentic Design Patterns

RAG and beyond: why patterns matter
Demo: Search + LLM retrieval
Hands-on: Implement a design pattern of choice
Group share: favorite patterns and use cases
Q&A

Day 2
Session 5: Building the Full Agent

Review core building blocks
Hands-on: Create a "Daily Briefing Agent"
Discussion: Day 1 highlights and blockers
Q&A

Session 6: MCP and Agent-to-Agent Protocols

MCP and A2A intro
Use cases for multi-agent systems
Demo: Make your agent A2A-compatible
Hands-on: Swap tools, connect to MCP server
Discussion: Multi-agent architectures
Q&A

Session 7: Agent Evaluation and AgentOps

Evaluation strategies for agents
AgentOps overview: lifecycle, CI/CD, logging, testing
Demo: adk run -v, agent engine, deployment paths
Hands-on: Analyze logs, prep for deployment
Q&A

Session 8: Agent Security & Wrap-Up

Security risks: prompt injection, tool misuse, data leakage
ADK mitigation strategies
Project: Identify one or two risks that apply directly to the agent you’ve conceptualized or built; explore the different capabilities in ADK to secure your agent.
Hands-on: Identify and address risks in your agent
Final Q&A + Certification Badge Instructions

Zaki Medina

Facilitator

Zaki Medina is a passionate technologist and AI strategist with 17+ years of experience helping businesses harness the power of AI, cloud, and data to drive real-world impact. He’s worked with Fortune 100 companies, startups, and industrial giants, shaping AI-driven strategies that have generated $1B in value. Zaki has a knack for making complex AI concepts accessible and actionable, whether he's advising executives, training sales teams, or speaking at global events. As a former Microsoft AI Business School Instructor, he’s helped healthcare, energy, and manufacturing leaders integrate AI into their operations. Zaki is always at the forefront of Generative AI, AI-driven automation, and intelligent systems. He’s not just about theory—he’s about making AI work for people, businesses, and industries in a way that delivers results. Curious about where AI is heading? Want to talk about Agentic AI or how to integrate AI into your business? Let’s connect!