AGENTIC AI: FOUNDATIONS

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  • Level: Intermediate
  • Length: 60 Minutes
  • 11 Interactive Lessons
  • Downloadable Resources
  • Live Demonstrations
  • Activities to Implement
  • Completion Certificate
  • Real-World Examples
  • Instructor: Krista Neher

WHY YOU'LL LOVE AGENTIC AI: FOUNDATIONS

Agentic AI and AI agents are transforming what is possible with AI.

Agentic AI is goal-oriented, capable of making decisions, acting autonomously, and creating independently. It works across systems to complete tasks.

This course demonstrates how Agentic AI and AI Agents are transforming the field of AI.

Learn how to utilize agentic AI and develop agents as part of your AI strategy.

COMPLETION CERTIFICATE INCLUDED

COURSE DETAILS

Course Outline

Part 1
Lesson 1: What is Agentic AI?
  • Why agentic AI is a powerful generative AI capability
  • What agentic AI is and what it can do
Lesson 2: Agentic AI in the AI Landscape
  • How agentic AI fits into the AI landscape
  • When to use agentic AI vs. other AI capabilities
Lesson 3: Components of Agentic AI
  • The components of generative AI
  • How the components of generative AI support completing complex tasks
Lesson 4: What Can AI Agents Do?
  • Capabilities of agentic AI and AI agents
  • Examples and use cases of agentic AI
Lesson 5: Agentic AI Examples
  • Examples of how to apply agentic AI in business cases
  • Use cases for agentic AI
Part 2
Lesson 6: Agentic AI Tools with Live Demo
  • The different AI tools that have agentic capabilities
  • How teach type of agentic tool works
Lesson 7: Demo: LLM Agent Mode
  • How agentic features in LLMs work
  • Strengths and limitations of LLM agentic AI
Lesson 8: Demo: Task Agentic AI
  • How task-based agentic AI systems work
  • The capabilities and limitations of task agents
Lesson 9: Demo: Cognitive Agentic AI
  • How cognitive AI agents work
  • The strengths and benefits of cognitive agents
Lesson 10: Designing and Implementing Agentic Systems
  • The steps to build AI agents
  • How to apply the steps to create agents that consistently deliver results
Lesson 11: Ethical and Responsible Agentic AI Use
  • How to balance control, safety, and reliability with automation
  • How to manage bias, transparency, and accountability
  • Why human oversight and trust are vital elements of responsible agentic AI

What You'll Learn

  • Articulate what agentic AI is and why it matters.
  • Apply the AI landscape to determine the unique role of agentic AI.
  • Apply the components of agentic AI when choosing use cases.
  • Articulate the tasks that agentic AI and AI agents are best at.
  • Identify use cases for agentic AI.
  • Differentiate between cognitive and task AI agents.
  • Use cognitive AI agents for complex tasks.
  • Create AI task agents to automate work across systems.
  • Design and implement agentic AI systems.
  • Apply ethical and responsible principles for agentic AI usage.
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OUR HAPPY CLIENTS

MEET YOUR INSTRUCTOR
KRISTA NEHER

 Krista Neher is a six-time bestselling author, international speaker, award-winning entrepreneur, global thought-leader, and an expert in social media, digital marketing, and personal branding, with over 20 years of experience.

She is the CEO of Boot Camp Digital and a contributor on Forbes and Newsweek. She wrote the first textbook on social media and created the first accredited digital marketing certification in the world.

Connect with Krista on LinkedIn 

ABOUT BOOT CAMP DIGITAL

Boot Camp Digital is the global leader in digital marketing training and education, with over 20 years experience. We've worked with the biggest companies like GE, P&G, Meta, Google, T-Mobile, NASA, The United Statess Senate, Medtronic, Johnson & Johnson, General Mills, Boeing, Cisco, and countless small and medium businesses.
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WHAT MAKES OUR TRAINING DIFFERENT?
  • Customized for industries and organizations
  • Hands-on with demonstrations
  • Practical with real examples
  • Interactive and immersize (not just videos)
  • Expert instructors with practical experience

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