Agent Engineer

Agent Engineer - a course for software engineers

Learn the fundamentals of AI agents and how to build them with Google Cloud AI.

Who is this for?

Software engineers who want to understand what AI agents are, how they work, and how to build them. No prior AI/ML experience required - just curiosity and some Python knowledge.

Course overview

This course is split into three parts:

**Part 1: Fundamentals (101)** - Understand the core concepts behind AI agents. These lessons are platform-agnostic and focused on building your mental model.

**Part 2: Building and shipping (201)** - Put those fundamentals into practice using Google Cloud AI, Vertex AI, and the Agent Development Kit (ADK).

**Part 3: Deep dives (301)** - Go deeper on specific topics that matter for real-world agent development.

Lessons

Part 1: fundamentals

#	Lesson	What you will learn
01	What are AI agents?	The big picture - what agents are, why they matter, and when to use them
02	How agents think	LLMs as the reasoning engine - how models plan, decide, and generate
03	Tools - giving agents hands	Function calling, tool design, and connecting agents to the real world
04	Agentic design patterns	ReAct, reflection, planning, and other core patterns
05	Memory and context	How agents remember things - sessions, context windows, and long-term memory
06	Planning and reasoning	How agents break down complex tasks and make decisions
07	Multi-agent systems	When one agent is not enough - coordination, delegation, and teamwork
08	Agentic RAG	Going beyond basic retrieval - agents that search, evalua