Advanced Agentic AI
Agentic AI represents a shift from single-step LLM applications to autonomous, goal-driven systems that can plan, reason, and act across complex workflows.
In this hands-on training, you will go beyond foundational agent concepts and learn how to design, build, and operate advanced multi-agent systems in real-world environments. You’ll explore orchestration patterns, asynchronous execution, evaluation frameworks, and production-grade deployment strategies.
Through practical exercises and real-world scenarios, you will develop the skills to engineer robust, scalable, and observable agentic systems that can operate reliably in enterprise settings.
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
What will you learn?
After the training, you will be able to:
Design and implement complex multi-agent systems and orchestrated workflows using advanced agent patterns (sequential, loop, parallel)
Apply advanced planning, reasoning, and asynchronous execution strategies to build scalable, multi-step, goal-driven workflows
Develop and operationalize evaluation, testing, and monitoring frameworks (including A/B testing and observability) to measure and improve agent performance
Deploy and optimize production-grade agentic systems with robust pipelines, guardrails, and compliance mechanisms in cloud environments
Program
– Sequential, loop, parallel agents, and hybrid agent architectures
– Multi-agent systems and orchestration strategies
– Designing complex workflows using state machines
This training is for you if:
You are a developer, ML engineer, or AI engineer who understands LLM fundamentals and wants to build more advanced, agent-based systems
You want to design and implement scalable, production-ready AI solutions, such as automation workflows, copilots, or multi-agent systems
This training is not for you if:
You are new to AI or LLMs and have no experience with programming or system design
You are looking for a basic or non-technical or business-focused course
Requirements
Experience with Python (or a similar language), along with a basic understanding of LLMs, prompt engineering, APIs, and software architecture concepts; familiarity with cloud platforms is a plus
Why should I follow this training?
Build Production-Ready Agent Systems
Move beyond prototypes and learn how to design robust, scalable, and maintainable agent architectures that work in real environments.
Evaluate and Improve Agent Performance
Learn how to measure, monitor, and optimize agent behavior using modern evaluation and observability techniques.
Stay Ahead in AI Engineering
Agentic AI is rapidly becoming a core paradigm in modern AI systems. This training equips you with the skills needed to lead and implement next-generation AI solutions.
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 trainers
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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