Transforming Business with AI Agents: Autonomous Efficiency and Decision-Making
37mGeneral2024-08-22
Authors

Charlene Li
Author and Speaker on Leadership, Strategy, and Marketing
Course details
Unlock the power of AI agents to revolutionize your business. In this course, best-selling author and thought leader Charlene Li delves into the ever-evolving landscape of AI, providing a clear, comprehensive introduction to autonomous, adaptive AI agents. You’ll learn how to define and identify AI agents and how they differ from other AI products. Charlene outlines AI agents’ potential to boost productivity and enhance decision-making, as well as how agents can automate complex workflows. Along the way, explore the critical challenges of trust, privacy, common ethical concerns, and key considerations for evaluating the use of AI agents in your organization.
Learning objectives
Define AI agents and differentiate agents from other AI technologies.
Discover how AI agents can automate tasks, improve data analysis, optimize operations, and elevate customer service.
Explore how AI agents can accelerate and refine data analysis to enhance decision-making.
Identify key challenges of agentic AI, including trust, privacy, ethical concerns, and effective change management.
Learning objectives
Define AI agents and differentiate agents from other AI technologies.
Discover how AI agents can automate tasks, improve data analysis, optimize operations, and elevate customer service.
Explore how AI agents can accelerate and refine data analysis to enhance decision-making.
Identify key challenges of agentic AI, including trust, privacy, ethical concerns, and effective change management.
Skills covered
Business StrategyArtificial Intelligence for BusinessBusiness Analysis and StrategyLeadership and ManagementOne-Off
Concepts
0. Introduction
- 01 - Introducing agentic AI
1. Explaining Agentic AI
- 02 - What makes AI agents unique
- 03 - Understand how AI agents work
- 04 - How AI agents create value for businesses
2. Types of AI Agents
- 05 - Simple reflex agents
- 06 - Model-based agents
- 07 - Goal-based agents
- 08 - Utility-based agents
- 09 - Learning-based agents
- 10 - Hierarchical agents
3. Putting AI Agents to Work
- 11 - Implementing agentic AI
- 12 - Addressing agentic AI challenges
Conclusion
- 13 - Your future and agentic AI
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