Programme outline
Learning objectives
By the end of the course, participants will be able to:
- Apply foundational agentic Artificial Intelligence (AI) concepts to design autonomous AI agents for workplace tasks.
- Structure agent goals, actions, and context using recognised agent frameworks.
- Implement reasoning and interaction patterns to guide autonomous agent behaviour.
- Develop AI-enabled workflows that integrate agents with business applications.
- Assess risks, governance, and human oversight requirements when deploying agentic AI solutions.
Day 1
- Foundations and Design of Agentic AI Systems
- Foundations of Agentic AI and Autonomous Systems
- Structuring Goals, Actions, and Context for AI Agents
- Reasoning and Interaction Patterns for Autonomous Execution
- Design and Development of AI Agents using Zero-Code and Low-Code Approaches
Day 2
- Agentic Workflows, Integration, and Governance
- Orchestration of Multi-Agent Workflows
- Integration of AI Agents with Business Applications
- Agentic Information Retrieval and Autonomous Task Execution
- Safety, Governance, and Human-in-the-Loop Controls for Agentic AI
- Assessment and feedback
Assessment
- Online assessment