# Intro to Agentic AI – Build Your First AI Agent

> Free 45-minute lesson on foundational building blocks for AI agents.

This is a recorded 45-minute Maven Lightning Lesson taught by Mahesh Yadav, an industry veteran with experience at Meta, Microsoft, and AWS AI. It introduces the transition from static generative models to autonomous decision-making agents. The session covers core agent architecture, evaluation, and monitoring practices.

Website: https://maven.com/p/d1cf5d/intro-to-agentic-ai-build-your-first-ai-agent

## What it is for

- Learn the foundational architecture required to design autonomous AI agents
- Understand the key differences between standard ML, GenAI, and Agentic AI
- Explore evaluation and monitoring strategies for reliable agent execution

## Features

- 45-minute free video recording accessible with registration
- Comparison of AI, ML, GenAI, and Agentic AI systems
- Breakdown of agent components for perception, decision-making, and action
- Overview of evaluation and reliability monitoring for agents
- Taught by former GenAI product leader Mahesh Yadav

## Pricing

Free to watch with Maven account registration

## Details

- Type: Article or course
- Category: [Learning](https://xiry.app/topics/learning.md)
- Topic: [AI Courses](https://xiry.app/topics/learning/ai-courses.md)
- Open source: no
- Platforms: Web
- For: Product managers, engineers, and tech professionals looking for a beginner-friendly primer on AI agents.
- Alternative to: DeepLearning.AI short courses, Coursera AI courses
- Tags: ai agents, agentic ai, maven, free course, product management

## Why it was saved

- [@mavenhq, 15 February 2026](https://www.instagram.com/reel/DUzDXLsj5N1/): Provides a practical beginner-friendly introduction to agentic AI taught by an experienced industry veteran.

## Compare

- [Alternatives to DeepLearning.AI short courses](https://xiry.app/alternatives/deeplearning-ai-short-courses.md)

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Updated 3 October 2026. Page: https://xiry.app/resources/intro-to-agentic-ai-build-your-first-ai-agent

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