AI Agents and Automation

About this course

This course contains the use of artificial intelligence.

AI Agents and Automation is a practical, beginner-friendly course designed to help you understand how intelligent agents can plan tasks, use tools, automate workflows, and complete real-world business activities. As organizations move beyond basic chatbots, agentic AI is becoming an important approach for building systems that can take actions, coordinate tasks, and interact with external applications.

You will begin by learning what AI agents are and how they differ from traditional software automation and conversational AI assistants. You will explore the essential components of an agent, including goals, instructions, planning, tools, actions, and memory. These foundations will help you understand how an AI system can move from generating an answer to completing a multi-step task.

The course then introduces common AI agent architectures. You will compare single-agent systems, multi-agent systems, and orchestration patterns. You will learn how specialized agents can work together, share responsibilities, and coordinate through a central orchestrator. You will also examine when a simple workflow is more appropriate than a complex multi-agent design.

In the workflow automation section, you will explore how AI automation can reduce repetitive work and improve productivity. Examples include processing information, creating reports, responding to requests, organizing data, preparing summaries, and coordinating routine business processes. You will also learn how trigger-based workflows can begin from schedules, incoming messages, application events, or changes in data.

The course explains how to connect agents with external tools, APIs, databases, search systems, communication platforms, and enterprise applications. You will learn the fundamentals of tool calling and understand how agents select the appropriate action based on t

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