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Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life

Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life

56mIntermediate2025-05-16

Authors

Pascal Bornet

Pascal Bornet

Course details

In this course, AI expert Pascal Bornet presents an exploration into agentic AI—systems that don't merely suggest but take autonomous action. Based on his book Agentic Artificial Intelligence and years of implementation experience across organizations, this course cuts through the hype to deliver practical, actionable insights.

Agentic AI is about building digital teammates that plan, decide, and execute multi-step tasks independently. This frees us from tedious work to focus on meaningful activities, creating faster operations, lower costs, and fewer mistakes. Discover powerful new business models, learn to drive tangible organizational impact, and gain tools to supercharge productivity in this rapidly changing landscape.

Learning objectives
Master the fundamentals of agentic AI architecture and capabilities.
Develop implementation strategies for real-world business applications.
Evaluate ROI potential across different organizational functions.
Design effective human-agent collaboration frameworks.
Navigate ethical considerations and governance requirements.
Transform workflows by identifying high-value automation opportunities.

Skills covered

AI for Business FoundationsAI Productivity ToolsArtificial Intelligence for BusinessBusiness Software and ToolsOne-Off

Concepts

0. Introduction

  • 01 - Agentic AI - Automation 2.0

1. The Potential of Agentic AI

  • 02 - The convergence revolution - Birth of AI agents
  • 03 - The five levels of AI agents - From automation to autonomy

2. Building and Using AI Agents

  • 04 - Getting started with AI agents
  • 05 - Creating self-running businesses

3. Implementing Agentic AI in Your Company

  • 06 - Preparing your organization for AI agents
  • 07 - Implementing AI agents at scale
  • 08 - AI agents in business operations

4. Leadership and Ethics in AI

  • 09 - Leading in the age of agentic AI
  • 10 - Ethics and risk management

5. Societal and Economic Impacts

  • 11 - Industry transformation and societal impact
  • 12 - The future of work

Conclusion

  • 13 - Embracing the future

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