Agentic AI (NL)
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What is Agentic AI
Agentic AI is the next step in the evolution of artificial intelligence. Where traditional AI systems respond to a single prompt or predefined rule, agentic AI systems can reason, plan, take action, use tools and adapt based on feedback. In practice, this means working with AI agents that can break down complex goals into smaller tasks, interact with applications or APIs, maintain context through memory and support people in completing multi-step workflows.
Agentic AI is quickly changing how organizations think about automation, software development and digital transformation. AI agents can support complex workflows, connect to tools and systems, and help teams move from manual execution to intelligent, goal-driven collaboration. To use this technology effectively, professionals need more than a basic understanding of generative AI. They need to know how agents work, how to design reliable workflows, how to apply guardrails and how to evaluate results in real-world situations.
This Agentic AI training helps you build that understanding in a practical way. You will learn how to recognize strong use cases, design agent behavior, work with memory and knowledge systems, and understand the role of orchestration, observability and feedback. The expertise of our trainers brings the theory to life with practical examples, real-world lessons and proven best practices from the field. This helps you make informed choices and apply agentic AI responsibly in your own projects or organization.
Power the next generation of intelligent systems with autonomous AI agents that think, decide and act.
Who should attend Agentic AI
- Software developers who want to build AI agents and integrate them into applications, tools or workflows.
- Solution architects who need to design scalable, secure and maintainable agentic AI solutions.
- Cloud engineers who want to understand how AI agents work with cloud platforms, APIs and operational environments.
- DevOps engineers who are looking for ways to apply agentic AI in delivery pipelines, automation and operational support.
- Data and AI engineers who want to connect language models, knowledge sources, tooling and feedback loops into working agentic systems.
Prerequisites
Participants should have a basic understanding of generative AI, software development concepts and APIs. Experience with cloud platforms, Python or modern application development is helpful, but not mandatory. The training is designed for technically oriented professionals who want to move beyond general AI awareness toward practical design and implementation of AI agents and agentic workflows.
Objectives
At the end of the training you will be able to:
- Explain the core concepts of Agentic AI, AI agents, agentic workflows and multi-agent systems.
- Distinguish between traditional automation, generative AI assistants and autonomous AI agents.
- Identify suitable business and technical use cases for Agentic AI.
- Describe common AI agent behavior patterns and when to apply them.
- Design a basic agentic workflow using goals, tasks, tools, memory and feedback loops.
- Apply knowledge management and memory concepts to improve agent performance and relevance.
- Analyze observability data to understand agent behavior, errors and improvement opportunities.
- Evaluate risks, limitations and governance considerations for agentic AI solutions.
- Create a practical design for a production-ready AI agent or multi-agent system.
- Recommend next steps for applying Agentic AI responsibly within a project or organization.
e-CF competences with this course
- A.6. Application Design
- B.1. Application Development
- D.10. Information and Knowledge Management
- D.7. Data Science and Analytics
- E.1. Forecast Development
- E.5. Process Improvement
Classroom, online, blended and in-company
At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.
In-company training courses
With an in-company training you have several advantages:
- You choose the location.
- You train with your colleagues, ensuring it aligns with your practice.
- The trainer tailors explanations, examples and assignments to your organization.
- In consultation, exercises can be adapted to organization-specific questions.
Request more information or a quote.
