AI Agents

Q: What are the best free resources to learn AI Agents?

Dantes has curated 55 resources for AI Agents. All resources are hand-picked for quality — no algorithmic filler. Visit dantes.io/subject/ai-agents to browse the full curated list.

Q: Is AI Agents hard to learn?

The resources curated for AI Agents cover intermediate and advanced level material. Starting with whichever format suits your learning style is the best approach.

55 resources

Level

Language

Type

📹Videos(1)

video👁️ 1

Liam Ottley: Guide to AI Automation

The definitive curriculum for building an AI Automation Agency (AAA), covering Make.com and AI voice agents.

intermediate🇬🇧

📺YouTube(8)

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youtube👁️ 2

Philo Agents Playlist

Comprehensive playlist on philosophical aspects of AI agents

intermediate🇬🇧

youtube👁️ 0

Building an Agent from Scratch

Complete walkthrough of building an AI agent from the ground up

intermediate🇬🇧

youtube👁️ 1

Building Agents with MCP

Tutorial on building agents using the Model Context Protocol

intermediate🇬🇧

youtube👁️ 0

Building Effective Agents

Best practices for building effective AI agents

intermediate🇬🇧

youtube👁️ 0

Building and Evaluating Agents

Guide to building and evaluating AI agents

intermediate🇬🇧

youtube👁️ 0

Agentic AI Overview (Stanford)

Stanford's comprehensive overview of agentic AI systems

intermediate🇬🇧

youtube👁️ 0

LLMs from Scratch

Step-by-step tutorial on building LLMs from scratch

intermediate🇬🇧

youtube👁️ 0

LLM Introduction

Comprehensive introduction to large language models

intermediate🇬🇧

🎓Courses(14)

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course👁️ 2

Multi Agent Systems

Comprehensive course on designing and implementing multi-agent systems

advanced🇬🇧

course👁️ 0

Agent Design Patterns

Common design patterns for building AI agents

intermediate🇬🇧

course👁️ 0

Improving LLM Accuracy

Techniques for improving large language model accuracy and reliability

intermediate🇬🇧

course👁️ 0

Multi-Agent Use

Building and coordinating multi-agent systems

advanced🇬🇧

course👁️ 0

Computer Use with Anthropic

Course on building agents that can use computers autonomously

advanced🇬🇧

course👁️ 0

Evaluating AI Agents

Methods and frameworks for evaluating AI agent performance

intermediate🇬🇧

course👁️ 0

LLMOps

Operations and deployment strategies for large language models

intermediate🇬🇧

course👁️ 0

Building Browser Agents

Course on building agents that can interact with web browsers

advanced🇬🇧

course👁️ 0

Building and Evaluating RAG Apps

Practical course on building and evaluating retrieval-augmented generation applications

intermediate🇬🇧

course👁️ 0

Agent Memory

Course on implementing memory systems for AI agents

advanced🇬🇧

course👁️ 0

Vector Databases from Embeddings to Apps

Complete guide from embeddings to production applications

intermediate🇬🇧

course👁️ 0

Building Vector Databases with Pinecone

Hands-on course for building and deploying vector databases

intermediate🇬🇧

course👁️ 0

MCP with Anthropic

Course on using the Model Context Protocol with Anthropic's models

intermediate🇬🇧

course👁️ 0

HuggingFace's Agent Course

Comprehensive course on building AI agents using HuggingFace tools

intermediate🇬🇧

📚Books(3)

book👁️ 0

AI Agents: The Definitive Guide

Complete guide to understanding and building AI agents, published by O'Reilly Media

intermediate🇬🇧

book👁️ 0

Build a Large Language Model (From Scratch)

Practical guide to building large language models from the ground up, published by Manning

intermediate🇬🇧

book👁️ 0

Understanding Deep Learning

Comprehensive free online textbook covering the fundamentals of deep learning, published by MIT Press

intermediate🇬🇧

🌐Websites(22)

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website👁️ 0

Data Hustle by Sai

Newsletter on data science and AI engineering

intermediate🇬🇧

website👁️ 0

Jam with AI by Shirin and Shantanu

Newsletter exploring practical AI applications

intermediate🇬🇧

website👁️ 1

NeoSage by Shivani

Blog covering AI agents and modern ML practices

intermediate🇬🇧

website👁️ 0

Deep (Learning) Focus by Cameron

Newsletter on deep learning research and applications

intermediate🇬🇧

website👁️ 0

DecodingML by Paul

Newsletter focused on decoding machine learning concepts

intermediate🇬🇧

website👁️ 0

Gradient Ascent Newsletter

Newsletter covering the latest in AI and machine learning

intermediate🇬🇧

website👁️ 0

OpenAI's Practical Guide to Building Agents

OpenAI's practical guide with implementation examples

intermediate🇬🇧

website👁️ 0

Claude Code Best Agentic Coding Practices

Best practices for agentic coding with Claude

intermediate🇬🇧

website👁️ 0

Building Effective Agents by Anthropic

Anthropic's best practices for building effective AI agents

intermediate🇬🇧

website👁️ 0

Google's Agent Companion

Companion guide to Google's agent whitepaper with practical examples

intermediate🇬🇧

website👁️ 0

Google's Agent Whitepaper

Google's comprehensive whitepaper on AI agent architecture and design

intermediate🇬🇧

website👁️ 0

LLM Course

Complete course on large language models with hands-on exercises

intermediate🇬🇧

website👁️ 0

Machine Learning for Beginners from Microsoft

Microsoft's comprehensive beginner guide to machine learning

intermediate🇬🇧

website👁️ 0

Designing Machine Learning Systems

Guide to designing production-ready ML systems

intermediate🇬🇧

website👁️ 0

Awesome Generative AI Guide

Curated list of generative AI resources and tools

intermediate🇬🇧

website👁️ 0

Hands-On AI Engineering

Practical AI engineering examples and implementations

intermediate🇬🇧

website👁️ 0

Made with ML

Comprehensive machine learning resource with practical projects

intermediate🇬🇧

website👁️ 0

GenAI Agents Repository

Collection of generative AI agent implementations and resources

intermediate🇬🇧

website👁️ 0

Hands-On Large Language Models

Practical repository for working with large language models

intermediate🇬🇧

website👁️ 0

Prompt Engineering Guide

Comprehensive guide to prompt engineering techniques

intermediate🇬🇧

website👁️ 0

Microsoft's AI Agents for Beginners

Microsoft's beginner-friendly guide to AI agents

intermediate🇬🇧

website👁️ 0

GenAI Agents

Comprehensive GitHub repository on generative AI agents with examples and implementations

intermediate🇬🇧

📄Papers(7)

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paper👁️ 2

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Comprehensive survey on RAG techniques and applications

intermediate🇬🇧

paper👁️ 0

Reflexion: Language Agents with Verbal Reinforcement Learning

Paper on self-reflective agents that learn from verbal feedback

intermediate🇬🇧

paper👁️ 0

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Advanced reasoning framework for LLMs using tree-based exploration

intermediate🇬🇧

paper👁️ 0

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Influential paper on chain-of-thought prompting techniques

intermediate🇬🇧

paper👁️ 0

Toolformer: Language Models Can Teach Themselves to Use Tools

Paper on enabling language models to use external tools

intermediate🇬🇧

paper👁️ 0

Generative Agents: Interactive Simulacra of Human Behavior

Research on creating believable generative agents that simulate human behavior

intermediate🇬🇧

paper👁️ 0

ReAct: Synergizing Reasoning and Acting in Language Models

Foundational paper on combining reasoning and acting in language models

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn AI Agents?

Dantes has curated 55 resources for AI Agents, including 1 videos, 8 YouTube videos, 3 books, 14 courses, 22 websites, 7 papers. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is AI Agents hard to learn?

The resources curated here cover intermediate and advanced level material. The best approach is to start with whichever format suits your learning style — video, book, or structured course.

What types of AI Agents learning resources are available on Dantes?

For AI Agents, Dantes has curated 1 videos, 8 YouTube videos, 3 books, 14 courses, 22 websites, 7 papers. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select AI Agents resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for AI Agents, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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