Agentic AI: FoundationsAgentic AI: Foundations is an intermediate-level course that explores one of the most transformative areas of AI: agentic AI.
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- Understand the full potential of agentic AI and how it differs from traditional AI models
- Get a clear framework to identify where and how to use agentic AI in your business
- Learn how to design agents that complete complex, multi-step tasks across systems
- Discover the strengths of cognitive and task-based agents and when to use each
- Watch live demos to see agentic AI in action and understand its practical use
- Explore ethical and responsible use principles to build trustworthy AI systems
What’s Included In The Course
- Downloadable Resources
- Completion Certificate
- Live Demonstrations
- Activities to Implement
- Real-world Examples
Resources
-> Agentic AI Quickstart Guide
-> Building an AI Agent Action Planner
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.
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Agentic AI: Foundations Course Outline
- What agentic AI is and what it can do
- Why agentic AI is a powerful generative AI capability
- How agentic AI fits into the AI landscape
- When to use agentic AI vs. other AI capabilities
- The components of generative AI
- How the components of generative AI support completing complex tasks
- Capabilities of agentic AI and AI agents
- Examples and use cases of agentic AI
- Examples of how to apply agentic AI in business cases
- Use cases for agentic AI
- The different AI tools that have agentic capabilities
- How teach type of agentic tool works
- How agentic features in LLMs work
- Strengths and limitations of LLM agentic AI
- How task-based agentic AI systems work
- The capabilities and limitations of task agents
- How cognitive AI agents work
- The strengths and benefits of cognitive agents
- The steps to build AI agents
- How to apply the steps to create agents that consistently deliver results
- 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
Course Description
Agentic AI: Foundations is an intermediate-level course that explores one of the most transformative areas of AI: agentic AI. Agentic AI is goal-driven, autonomous, and capable of working across systems to deliver results. It goes beyond chat or predictive tools by executing complex tasks independently.
You’ll begin by exploring what agentic AI is, how it works, and why it’s a powerful evolution in generative AI. We’ll compare where agentic AI fits within the broader AI landscape, and help you understand when to use agentic AI versus other types of AI. You’ll learn the core components that make agentic AI systems work—including how they interact and complete multi-step processes.
Next, we’ll dive into the capabilities of agentic AI agents. You’ll learn what these agents can do, how they’re applied in business, and the benefits they bring. We’ll show real-world examples to make the concepts clear and applicable. You’ll also explore different types of AI agents, including task-based and cognitive agents, and how each is designed to solve specific kinds of problems.
To make this even more practical, you’ll see live demonstrations. Watch agentic features in LLMs, task-based AI agents, and cognitive agents in action. These demos will help you see the power and limitations of agentic tools, and how to match them to your needs.
Then you’ll learn how to design and implement your own agentic AI systems. We’ll walk you through the key steps in building AI agents that consistently deliver results. This includes how to plan for success, align tasks with agent types, and build systems that are reliable and efficient.
Finally, the course covers responsible and ethical agentic AI use. Learn how to ensure transparency, manage risk, and build trust in your systems. Understand why human oversight and accountability matter when building autonomous AI systems.
At the end of the course, you’ll know how to leverage agentic AI to drive performance, improve efficiency, and strategically integrate it into your AI roadmap.
This interactive course includes the Agentic AI Quickstart Guide and the Building an AI Agent Action Planner to help you build and implement your plan. It also features live examples, demos, activities, and step-by-step instructions to apply what you’ve learned.
Learning Objectives
- 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.
Resources
- Agentic AI Quickstart Guide
- Building an AI Agent Action Planner
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Krista NeherDigital Marketing Expert & Best-Selling Author
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.
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