Agentic AI

Agentic AI

Course Category : Artificial Intelligence

Develop the knowledge required to understand, design, and evaluate agentic AI systems that autonomously plan, act, and collaborate to enhance innovation and enterprise decision-making.
Duration: 5 Days
Level: Advanced

Introduction

Agentic AI represents the next evolution of artificial intelligence, enabling systems to move beyond simple prompt-response interactions toward autonomous planning, reasoning, decision-making, and execution within defined objectives and organisational constraints. This paradigm is transforming enterprise operations by delivering intelligent automation, adaptive workflows, and autonomous business support.
This course provides a comprehensive understanding of Agentic AI, including its architecture, reasoning models, planning mechanisms, enterprise integration, governance, security, and strategic implementation to maximise business value while maintaining responsible AI practices..

Targeted Audience

  • Executives.
  • AI and Digital Transformation Leaders.
  • IT Managers.
  • Innovation Managers.
  • Business Analysts.
  • Digital Solution Architects.
  • AI and Data Science Teams.
  • Governance and Risk Professionals.

Targeted Skills

  • Agentic AI Fundamentals.
  • Autonomous System Design.
  • Planning and AI Reasoning.
  • Enterprise Agent Integration.
  • AI Governance and Risk Management.
  • Agent Performance Evaluation.

Expected Outcomes

  • Understand the foundations of Agentic AI.
  • Differentiate between traditional AI and autonomous agentic systems.
  • Design business solutions using Agentic AI.
  • Evaluate planning, reasoning, and autonomous decision-making mechanisms.
  • Apply governance and security principles.
  • Develop an enterprise Agentic AI adoption roadmap.

Training Topics Index

  • Evolution of Agentic AI.
  • Characteristics of autonomous systems.
  • Agent decision lifecycle.
  • Goals and autonomy.
  • Enterprise applications.

  • Core agent architecture.
  • Multi-step planning.
  • AI reasoning mechanisms.
  • Memory and context management.
  • Execution and feedback loops.

  • Enterprise application integration.
  • Tool and service orchestration.
  • Intelligent workflow automation.
  • Multi-agent collaboration.
  • Performance monitoring.

  • Agent governance frameworks.
  • Information security and privacy.
  • Operational risk management.
  • Regulatory compliance.
  • Responsible Agentic AI.

  • Domain-specialised agents.
  • Large-scale autonomous systems.
  • Measuring enterprise value.
  • Adoption strategies.
  • Future technology trends.

Course Features

  • Updated and Interactive Content
  • Hypothetical Examples and Case Studies
  • Pre- and Post-assessments to Measure Impact
  • Verified Certificate with a QR Verification Code