Go beyond basic chatbots and understand the next wave of automation. Learn what AI Agents are and how they work. You will explore the core concepts of agentic reasoning, planning, and tool use. Gain the knowledge to identify high-value opportunities for agentic systems in your business, evaluate their performance, and collaborate effectively with technical teams on AI initiatives.
Overview
Syllabus
- Introduction to Agentic AI Fluency
- Welcome to the course! Get acquainted with the course structure, authors, and necessary prerequisites.
- From AI to AI Agents
- Investigate the fundamental components of Agentic AI, including the distinction between standard AI and Agents, the function of LLMs, and the evolution that led to their convergence.
- Agentic Reasoning and Reasoning Models
- Learn how LLMs enable reasoning and planning in AI agents, and identify strategic opportunities to leverage these capabilities for business tasks.
- AI Agent Evaluations and Guardrails
- Explore the concept of agent evaluation and discover approaches to address multi-step tasks, varied behaviors, and safety risks.
- Agentic Workflow Design
- Learn about real-world business tasks and design logical workflows that an AI agent can follow.
- Visualizing Agentic Workflows
- Create and interpret visual representations of agentic AI workflows to effectively communicate task flow, roles, and decision paths.
- Designing Requirements for Agentic AI Solutions and Systems
- Learn about translating business needs into a structured requirements document that a technical team can use for implementation.
- AI Agents in Industry: Use Cases
- Explore real-world use cases for Agentic AI in specific industries to understand their practical application and impact.
- Leveraging AI Agents in Software Engineering
- Learn how AI agents are used across the Software Development Life Cycle to improve productivity and automate tasks.
- Course Review
- Review all of the skills you've acquired and the learning you accomplished!
Taught by
Noble Ackerson and Gordon Dri
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