Introduction to Agentic AI
Course Details
Aimed at non-technical professionals, this course introduces the core concepts of Agentic AI—intelligent systems capable of acting autonomously to achieve defined goals. It explains how these agents differ from traditional AI, covering key components such as reasoning, planning, memory, and tool integration. Real-world examples highlight applications in telecoms, finance, and healthcare, while governance and ethical considerations are also explored. The course concludes with a look at how Agentic AI will shape future network automation and 6G development.
Kevin Moore
Mpirical TrainerIndividual Course
Course Contents
What is Agentic AI?
- Autonomy over Automation: Defining Agentic AI.
- What is an AI Agent?
- Key Characteristics and Capabilities.
- From Reactive to Proactive Intelligence.
- Key Use Cases.
Agentic AI Architecture and Models:
- Key Components.
- Reasoning Engines and LLMs.
- Tool Integration and External Interfaces.
- Memory Systems and Context Management.
- Planning and Execution Frameworks.
Governance and Risk Mitigation:
- The Importance of AI Governance.
- Technical Guardrails and Safety Mechanisms.
- Ethical Considerations in Autonomous Decision Making.
- Legal and Regulatory Issues.
- Current Limitations of Agentic AI.
Agentic AI and Mobile Networks:
- Overview.
- Applications and Capabilities.
- Network Automation Standardisation.
- Looking Ahead: Agentic AI in 6G.