Introduction to Agentic AI and AI Agents

Udemy
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Deal Score0

Introduction to Agentic AI and AI Agents, Transform your Career and Business with AI Agents and Learn how to direct one at work. Agentic AI workflow, RAG and MCP.

Course Description

This course contains the use of artificial intelligence.

Understand AI Agents and Agentic AI in Simple English, and Put Them to Work Without Writing Code

Ever sat in a meeting where everyone talked about AI agents…

…and you nodded along, then quietly searched the word later?

You’re in good company. In an EY survey of desk workers:

  • 84% were eager to use agentic AI
  • 56% were worried about their own jobs

Many of them felt both at once.

Why it feels this way

The tools arrived faster than anyone explained them.

Every week brings a new word: agents, agentic workflows, RAG, MCP.

And every explanation seems written for engineers.

Meanwhile, work is changing

In my own business, AI agents now draft reports, check my website and prepare work that used to take me a full day.

The gap between people who can direct AI and people who can’t grows every month.

You don’t need to be technical to close that gap.

AI has made intelligence cheap. What’s rare now is knowing how to direct it:

  1. What to ask for
  2. What to give it
  3. How to check what it hands back

Anyone can learn that. This course shows you how, in simple English.

WHAT YOU’LL WALK AWAY WITH

  • AI agents and agentic AI, finally clear
  • Hours back from tasks you hand off
  • The skill that keeps you valuable: directing AI
  • A quick test for spotting AI hype
  • Confidence with LLMs, RAG, MCP and APIs
  • Safe habits for using AI with company files

WHAT’S INSIDE

  • 36 short lectures in 4 sections
  • 6 quick quizzes
  • 4 downloadable study guides
  • Practice files, with every link on one page

WHY LEARN FROM ME

  • 200,000+ learners on Udemy
  • I run AI agents in my own business every day

YOUR NEXT STEP

Walk into your next AI conversation as the person who actually gets it.

Start with the first lecture.

– Arun Nagarathanam

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