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AI Agents for Everyone

Published by O'Reilly Media, Inc.

Beginner content levelBeginner

Understand how AI agents are shaping the future of work and how you can get started

What you’ll learn and how you can apply it

  • Learn how AI agents differ from traditional automation and chatbots
  • Explore the components of an AI agent (planning, memory, tool use, feedback)
  • Understand multi-agent frameworks and concepts like Model Context Protocol
  • Take a tour of leading platforms like OpenAgents and CrewAI
  • Identify real-world use cases of AI agents across domains
  • Learn how to prototype your own AI agent or experiment with prebuilt ones
  • Gain insights on the ethical, operational, and strategic considerations when integrating agents into your business

Course description

Join Altaf Rehmani to understand what AI agents are, how they function, and how they’re already being applied across industries. Whether you’re exploring productivity enhancements or looking to integrate AI agents into existing workflows, you’ll get a hands-on foundation to navigate the future of autonomous AI systems. No matter what your role is, you’ll come away with the skills to begin using agents in your work.

This live event is for you because...

  • You’re a business or technology professional who’s curious to learn what AI agents portend for your daily - work and your business.
  • You’re a business leader, consultant, or strategist who’s exploring AI integration.
  • You’re a product manager, innovation lead, or R&D professional looking to harness automation.
  • You’re curious about the future of autonomous digital workers and AI-driven productivity tools.

Prerequisites

  • A basic understanding of AI/ML concepts (no coding experience necessary)
  • Familiarity with common business workflows or software development environments

Recommended preparation:

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

AI agents and what they can do (30 minutes)

  • Presentation: Defining AI agents; how agents differ from chatbots and traditional automation (RPA); agentic workflows; agents in popular platforms; core concepts—autonomy, reasoning, tool use, and goal orientation
  • Group discussion: Where do you see AI agents fitting into your work today?
  • Q&A

Anatomy of an AI agent (30 minutes)

  • Presentation: Building blocks of agents (memory, planning, tool use, feedback loops, execution); comparing frameworks (n8n versus Relevance AI); multi-agent frameworks; Model Context Protocol
  • Hands-on exercise: Map an AI agent’s architecture to a sample workflow
  • Q&A
  • Break

Real-world use cases and tools (25 minutes)

  • Presentation: AI agents in action; business scenarios (ops, PM, sales, research); tools for agents and agentic automations (Relevance AI, n8n, MindOS); case studies and tool stacks
  • Hands-on exercise: Given a use case, select the best AI agent tool from a shortlist
  • Group discussion: What blockers do you foresee when deploying agents in your environment?
  • Q&A

Getting started and strategy (25 minutes)

  • Presentation: Prototyping and piloting an agent; no-code/low-code options; planning for ROI, ethics, and governance; evaluating agent readiness
  • Hands-on exercise: Use a tool to demonstrate agent building and usage
  • Q&A

Wrap-up and Q&A (10 minutes)

Your Instructor

  • Altaf Rehmani

    Altaf Rehmani has more than 20 years of experience working for large enterprises as well as startups. He works for a large financial service organization as a digital transformation specialist where he leads business application development (using low code) as well as a generative AI consultant to various groups. He is interested in all things digital and how they can be used to create businesses of the future.

Skill covered

Generative AI