Advanced Agentic AI for Developers
27 January, 2027 – Amsterdam, The Netherlands
Advanced Agentic AI takes you from individual agents to multi-agent systems, orchestrated workflows, and production-ready architectures. In this hands-on, two-day course for LLM Application Engineers and AI Platform Engineers, you’ll learn how to design and build agentic applications using Google’s Agent Development Kit (ADK). Through demos and guided exercises, you’ll explore sequential, parallel, and loop workflows, connect tools and agents using MCP and agent-to-agent (A2A) protocols, and evaluate performance at scale. You’ll learn how to apply guardrails, testing, monitoring, and prompt optimization to improve reliability. You’ll leave with practical patterns for building robust agentic systems and a clear understanding of when an agentic approach is the right solution.
Happy Holidays this training is included in the AI Bootcamp for Developers.
Book the complete 5-day program and get 30% off.
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
3 days
Time
09:00 – 17:00 (GMT +1:00)
Language
English
Lunch
Included
Certification
No
Level
Professional
What will you learn?
After the training, you will be able to:
Design multi-agent workflows: Choose when to use agents and implement sequential, parallel, and loop workflows with Google ADK.
Evaluate agentic systems: Build evaluation frameworks, including LLM-as-judge, to assess performance and manage risks at scale.
Connect tools and agents: Integrate tools and data using MCP and enable agent-to-agent communication with A2A.
Design for production: Apply guardrails, testing, monitoring, and prompt optimization to create reliable agent architectures.
Program
- What is agentic, pros and cons, and when to use it (with examples)
This training is for you if:
You are comfortable with Python and LLM basics and want to build multi-agent systems and orchestrated workflows.
You want to strengthen your agent engineering skills with tool integration, evaluation, guardrails, and production architecture.
This training is not for you if:
You are looking for a non-technical introduction to AI or need to learn Python and LLM fundamentals first.
You are looking for a course focused on prompt engineering or no-code tools rather than developing agentic systems in Python.
Requirements
You should be comfortable working with Python and modifying code.
Why should I follow this training?
Build Beyond a Single Agent
Create multi-agent systems that coordinate tools and tasks through structured workflows.
Make Your Agents More Reliable
Apply evaluation, guardrails, and monitoring to identify failures and improve performance.
Bridge Prototypes and Production
Gain hands-on experience with Google ADK and practical patterns for designing production-ready agent architectures.
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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