The 5-Day AI Agent Intensive is a hands-on studying program created by Google researchers and engineers. Designed to assist builders perceive the basics of AI brokers and discover ways to construct production-ready agent methods. This course covers core parts reminiscent of fashions, instruments, orchestration, reminiscence, and analysis. We additionally present how the agent evolves from a easy LLM prototype to a dependable system that may run in real-world environments.
Day 1: Meet your agent
Day 1 whitepaper introduces the fundamentals of AI brokers. Describes numerous agent capabilities and the necessity for agent operations for reliability and governance. This highlights the significance of identification and coverage constraints for security.
What is going to learners study?
What’s an AI agent? What is the distinction between an agent and an everyday LLM immediate? Core agent options What are the roles of agent operations? Why identification, coverage, and safety matter? Learn how to construct a easy agent utilizing ADK and Gemini
Click on right here to entry our analysis paper on AI agent fundamentals.
The white paper describes using exterior instruments. Learn the way instruments may also help brokers entry real-time knowledge and take motion. It additionally introduces a mannequin context protocol. This doc describes MCP structure, communication layers, and enterprise readiness gaps.
What is going to learners study?
How brokers use instruments to carry out actions How Python features are translated into agent instruments How the mannequin context protocol works How MCP helps interoperability Learn how to design protected and efficient instruments Learn how to construct brokers that await human approval How long-running instrument calls work
Click on right here to entry our analysis paper on agent instruments.
Day 3: Context Engineering, Classes, and Reminiscence
Day 3 whitepaper covers context engineering. Classes are described as short-term dialog historical past, and reminiscence is described as long-term saved data. The main focus is on constructing brokers that stay constant throughout a number of interactions.
What do you study?
How brokers handle contextual data How classes retailer short-term dialog historical past How reminiscence shops long-term information How context engineering improves multi-turn conversations Learn how to give brokers persistent reminiscence throughout classes Learn how to construction context home windows Learn how to design extra personalised agent experiences
Click on right here to entry the Google analysis paper on context engineering and reminiscence.
Day 4: Agent high quality
This white paper focuses on analysis and high quality assurance. The three pillars of observability are launched: logs, traces, and metrics. The paper additionally describes how these alerts may also help builders perceive agent conduct. We additionally focus on scalable evaluation strategies reminiscent of LLM as a decide and human participant testing.
What do you study?
Learn how to measure agent reliability What logs, traces, and metrics imply Learn how to debug agent conduct Learn how to analyze instrument utilization Learn how to use LLM as an arbiter to judge responses Learn how to embrace human evaluations Learn how to monitor agent efficiency over time
Click on right here to entry our analysis paper on agent high quality.
Day 5: From prototype to manufacturing
The ultimate whitepaper describes the operational lifecycle of AI brokers. Study deployment, scaling, and shifting from prototype to enterprise answer. Describes the Agent2Agent protocol and the way it allows communication between unbiased brokers.
What do you study?
Learn how to transfer an agent from prototype to manufacturing How the deployment pipeline works Learn how to scale an agent in a dwell surroundings How the Agent2Agent protocol works How brokers work collectively at scale Learn how to deploy brokers utilizing the Vertex AI Agent Engine Learn how to construct an enterprise agent system
Click on right here to entry our analysis paper on prototype to manufacturing.
Be taught extra about Google’s free programs on AI brokers right here.
Different useful assets for studying Agentic AI
Agenti AI Pioneer Program: A 150-hour immersive program with over 50 real-world tasks and one-on-one teaching. Designed for inexperienced persons to construct autonomous AI brokers utilizing instruments like LangChain, CrewAI, and extra. AI Agent Studying Path: This course is structured as a curated studying path that will help you construct and deploy agent methods by protecting core parts, orchestration, and analysis by means of hands-on labs and guided studying modules. Constructing Multi-Agent Methods: Specializing in multi-agent architectures, this course exhibits you the best way to use LangGraph to design brokers that work collectively, course of instrument calls, and combine reminiscence and context to assist advanced workflows. MCP Fundamentals: This deep dive describes the MCP framework and particulars how brokers can use exterior instruments and context to behave intelligently, together with finest practices for instrument design and managing long-running operations.
conclusion
With the correct steerage, studying an AI agent is simpler than ever. Google’s 5-day AI Agent Intensive gives builders with an entire basis in agent structure, instruments, reminiscence, analysis, and manufacturing deployment. If you need mentorship, hands-on tasks, and a transparent roadmap to construct your profession at Agenti AI, the Agenti AI Pioneer program is a good place to begin. This course covers sensible tasks, professional assist, and all the pieces it’s essential to construct a profession on this discipline.
Hello, I am Nitika, a tech-savvy content material creator and marketer. Creativity and studying new issues come naturally to me. I’ve experience in creating results-driven content material methods. I’m expert in search engine optimization administration, key phrase manipulation, internet content material creation, communications, content material technique, modifying, and writing.
Log in to proceed studying and revel in content material hand-picked by our specialists.
Proceed studying free of charge
