About this ebook
This book teaches you how to move beyond simple prompts and build scalable, reliable, and reasoning-powered AI workflows that can handle complex, multi-step tasks in real-world environments.
What You’ll Learn
✔ Understanding autonomous agents and their architecture
✔ Creating reasoning chains and multi-step workflows
✔ Designing goal-oriented AI agents with Vertex AI
✔ Integrating tools, APIs, and memory for smarter agents
✔ Handling failures, retries, and dynamic decision-making
✔ Monitoring, debugging, and scaling AI agents
✔ Applying best practices for performance, security, and reliability
✔ Building real-world projects that combine intelligence and automation
Who This Book Is For
Developers and Python programmers working with AI
AI researchers exploring autonomous systems
Data scientists designing intelligent workflows
Technical founders and innovators building AI-powered applications
Anyone who wants to create practical, reasoning-driven AI agents
Why This Book Works
Most AI guides focus on isolated tasks or basic prompt usage. This book emphasizes systematic agent design, workflow orchestration, and real-world application. You’ll gain a practical, step-by-step approach to building agents that are controllable, observable, and intelligent.
By the end, you’ll be ready to develop autonomous AI agents capable of performing multi-step reasoning, integrating tools, and executing complex workflows — all within the Vertex AI platform.
If your goal is to move from theory to practice and build real-world AI agents in 2026, Building AI Agents with Vertex AI is the definitive guide.
