Session 2 moves from understanding agents to building the capabilities needed to create enterprise-ready agentic solutions. We will explore the eight core skill areas every RPA professional needs to transition confidently into Agentic AI.

Inside this session

LLM foundations and prompting
Understand how LLMs work, how to design effective prompts, and how instructions influence agent behaviour.

Context engineering and RAG
Learn how agents use enterprise knowledge, documents, memory, and retrieved context to make better decisions.

Tool calling, APIs, and MCP

Explore how agents connect with applications, APIs, databases, RPA bots, and enterprise systems.

Stateful orchestration and graphs

Understand how agents manage multi-step workflows, maintain state, handle branching, and coordinate actions.

Human-in-the-loop design

Identify where approvals, reviews, escalations, and human judgement should be included.

Evaluation and observability

Learn how to test agent performance, monitor decisions, measure quality, and troubleshoot failures.

Security and governance

Explore access controls, guardrails, auditability, data protection, and responsible agent execution.

Software engineering and deployment

Understand what is required to move agentic solutions from experimentation into reliable enterprise production.

All resources and readiness before session 3

Come ready to assess your current skills and identify the capability areas you need to strengthen for your Agentic AI journey.

See you there! 🚀