Agentic AI Training in Copenhagen, Denmark

This course explores the principles, design, and applications of Agentic AI — AI systems that go beyond passive prediction to actively pursue goals, take actions, and interact with digital and physical environments. Participants will learn about multi-agent systems, planning, reasoning, autonomous decision-making, tool-use, and orchestration frameworks. The course emphasizes hands-on exposure to building AI agents using modern frameworks (LangChain, AutoGPT, CrewAI, etc.), integrating them into workflows, and considering ethical and governance implications.

Foundations of Agentic AI

• Introduction to Agentic AI vs. traditional AI

• Core components: Perception, Planning, Action, Feedback loop

• Agent architectures (reactive, deliberative, hybrid)

• Tools and frameworks: LangChain, AutoGPT, CrewAI, Semantic Kernel

Building Intelligent Agents

• Prompt engineering for autonomous behavior

• Memory and knowledge management in agents

• Tool-use integration (search, APIs, databases, calculators)

Multi-Agent Systems & Advanced Workflows

• Multi-agent communication and collaboration models

• Coordinating agents for business workflows (marketing, research, software development)

• Human-in-the-loop and guardrails

Deployment, Ethics & Future of Agentic AI

• Monitoring, debugging, and evaluating agent performance

• Security, safety, and alignment considerations

• Governance and compliance in autonomous AI

• Case studies: Agentic AI in healthcare, finance, operations, and creative industries

Hands-on Exercises

Summary and Conclusion