course
Introduction to AI Agents
Introduction to AI Agents
Introduction to AI Agents

About the Course

Introduction to AI Agents is a comprehensive course that examines the fundamental shift from traditional AI tools to autonomous systems capable of operating continuously, processing real-time data, and coordinating complex workflows without constant human oversight. Across three modules, learners explore AI agent fundamentals, the frameworks and platforms organizations use to deploy agents, and the security and risk considerations that arise when agents operate at scale. By the end of the course, learners will understand how agents make decisions, where autonomous action creates organizational blind spots, and how to approach governance when agents are making thousands of decisions per hour across business-critical systems.

Course Instructor

Course Progress
Not started
Course Outline
  1. AI Agent Fundamentals
    1. 1.1 What Is an AI Agent?
    2. 1.2 Autonomy in Practice
    3. 1.3 Agent Architecture Primitives
    4. 1.4 Multi-Agent Systems and Orchestration
  2. Popular Agent Frameworks & Platforms
    1. 2.1 Introduction to AI Agent Frameworks
    2. 2.2 LangChain & LangGraph
    3. 2.3 Microsoft Autogen
    4. 2.4 OpenAI Assistants
    5. 2.5 Framework Selection in Practice
  3. Security & Risk Considerations
    1. 3.1 Input Attack Surface
    2. 3.2 Output Attack Surface
    3. 3.3 Operational Attack Surface
    4. End of Course Survey
course
Introduction to AI Agents
Introduction to AI Agents
Course Progress
Not started

About the Course

Introduction to AI Agents is a comprehensive course that examines the fundamental shift from traditional AI tools to autonomous systems capable of operating continuously, processing real-time data, and coordinating complex workflows without constant human oversight. Across three modules, learners explore AI agent fundamentals, the frameworks and platforms organizations use to deploy agents, and the security and risk considerations that arise when agents operate at scale. By the end of the course, learners will understand how agents make decisions, where autonomous action creates organizational blind spots, and how to approach governance when agents are making thousands of decisions per hour across business-critical systems.

Course Outline
  1. AI Agent Fundamentals
    1. 1.1 What Is an AI Agent?
    2. 1.2 Autonomy in Practice
    3. 1.3 Agent Architecture Primitives
    4. 1.4 Multi-Agent Systems and Orchestration
  2. Popular Agent Frameworks & Platforms
    1. 2.1 Introduction to AI Agent Frameworks
    2. 2.2 LangChain & LangGraph
    3. 2.3 Microsoft Autogen
    4. 2.4 OpenAI Assistants
    5. 2.5 Framework Selection in Practice
  3. Security & Risk Considerations
    1. 3.1 Input Attack Surface
    2. 3.2 Output Attack Surface
    3. 3.3 Operational Attack Surface
    4. End of Course Survey

Course Instructor