Fundamentals of Agentic AI: Practical Business Implications and Strategic Leadership
53mBeginner2026-08-20
Authors

Bernard Marr
Course details
Curious how AI systems that act on their own could reshape the way businesses operate and compete? In this course, Bernard Marr introduces the fundamentals of agentic AI: systems that can reason, plan, take actions, and collaborate alongside human teams as digital coworkers. Bernard explains where these systems create business value and what makes them different from the AI tools you already use. Explore real-world applications, workflow redesign, emerging industry trends, and the governance and ethical considerations that responsible adoption demands. Whether you're a senior leader, strategist, technology professional, or AI-curious learner, this course prepares you to spot the opportunities and risks of this fast-moving technology, assess your organization's readiness, and align AI initiatives with your strategic goals.
Learning objectives
Explain the foundational concepts, capabilities, and business value of agentic AI systems that reason, plan, and act autonomously.
Evaluate how agentic AI can transform workflows, collaboration, and decision-making across industries.
Develop responsible strategies for implementing agentic AI that balance innovation, ethics, risk management, and organizational readiness.
Learning objectives
Explain the foundational concepts, capabilities, and business value of agentic AI systems that reason, plan, and act autonomously.
Evaluate how agentic AI can transform workflows, collaboration, and decision-making across industries.
Develop responsible strategies for implementing agentic AI that balance innovation, ethics, risk management, and organizational readiness.
Concepts
Introduction
- The rise of agentic AI in business
Understanding Agentic AI
- What makes agentic AI different
- How agentic AI works
- Why agentic AI emerged now
Business Transformation with Agentic AI
- How agentic AI changes business workflows
- AI as a digital coworker
- Industry applications of agentic AI
Governance, Trust, and Responsible AI
- The risks of autonomous AI systems
- Building guardrails and human oversight
- Ethical and regulatory considerations
Organizational Readiness for Agentic AI
- Why many AI projects fail to scale
- Building an AI-ready organization
- Leadership in the age of agentic AI
The Future of Agentic AI
- Multiagent systems and autonomous enterprises
- Physical AI and real-world autonomy
- Preparing for the next decade of AI
Conclusion
- Key takeaways and next strategic steps