Agentic AI for Developers
20 August, 2026 – Amsterdam, The Netherlands
Agentic AI introduces a new generation of AI systems that don’t just generate responses — they plan, reason, and take actions. In this hands-on course for developers, you’ll learn how agentic systems work and how to build them using modern tooling and Google Cloud Platform (GCP). Through demos and guided exercises, you’ll explore key concepts such as tool use, planning, and multi-step reasoning, and implement a simple agent yourself. You’ll leave with practical patterns for building and deploying agentic AI applications on GCP, along with a clear understanding of their capabilities, limitations, and real-world use cases.
Looking to upskill your team(s) or organization?
Juanette will gladly help you further with custom training solutions.
Juanette Evans
Data and AI Training Advisor
Duration
2 days
Time
09:00 – 17:00 (GMT +2:00)
Language
English
Lunch
Included
Certification
No
Level
Professional
What will you learn?
After the training, you will be able to:
Explain the key concepts behind Agentic AI and how agentic systems differ from traditional LLM applications.
Describe the architecture of AI agents, including reasoning loops, memory, and tool usage.
Build and run a basic AI agent on Google Cloud using the Google Agent Development Kit (ADK), integrating external tools and APIs with tool calling and MCP.
Design and evaluate agentic workflows on Google Cloud, including single-agent and multi-agent architectures using Vertex AI Agent Engine.
Program
Intro session on what agentic AI is, how it differs from traditional LLM applications, and where it fits in the modern AI landscape.
This training is for you if:
You are a developer working with AI or LLMs who wants to build applications that go beyond simple prompting.
You want to learn how to design AI agents that can automate tasks and explore multi-agent systems and tool integration.
This training is not for you if:
You are looking for a high-level, non-technical introduction to AI or want to learn Python programming from scratch.
You are only interested in prompt engineering rather than building AI systems, or you already have significant experience developing AI agents.
Requirements
You should be comfortable working with Python and modifying code.
Why should I follow this training?
Build Autonomous AI Systems
Learn how modern AI systems move beyond chatbots into agents that can plan and execute tasks autonomously.
Understand the Agent Ecosystem
Learn key technologies such as tool calling, MCP, and agent orchestration frameworks.
Gain Practical Experience
Build and deploy real agents using modern tools and frameworks.
What else
should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.
See you soon!
Course information
All literature and course materials are included in the price.
Meet the trainer
Giorgia Corrado
After studying AI and Neuroscience, I worked as an engineer in industry before realizing my real passion was sharing AI with others. Today I focus on education, helping people understand and apply Machine Learning and AI in meaningful, practical ways.
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