AI directory search

Search across educators, skills, and resources.

Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.

92 matches for "agents"

Video matches

Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.

How To Test AI Agents With Simulations video thumbnail ►

How To Test AI Agents With Simulations

Hamel Husain · 2026, agent simulations, evals, production traces

Trends in AI Engineering: Careers, Coding Agents & Evals | Hugo Bowne-Anderson & Alexey Grigorev video thumbnail ►

Trends in AI Engineering: Careers, Coding Agents & Evals | Hugo Bowne-Anderson & Alexey Grigorev

Alexey Grigorev · 2026, AI engineering careers, coding agents, evals

2,000 AI Agents Rewrote a Coding Agent in Rust video thumbnail ►

2,000 AI Agents Rewrote a Coding Agent in Rust

Bitwise AI · 2026, Prime Agent, Rust, multi-agent coding

From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot video thumbnail ►

From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot

AI Engineer · 2026, GitHub Copilot, custom agents, GitHub Actions

CMU AI Agents 2026: 10. Deep Research video thumbnail ►

CMU AI Agents 2026: 10. Deep Research

Graham Neubig · 2026, deep research, search agents, retrieval

Small Models, Big Results: Training a Finance Agent for Under $500 — Charles Dickens, Snorkel AI video thumbnail ►

Small Models, Big Results: Training a Finance Agent for Under $500 — Charles Dickens, Snorkel AI

AI Engineer · 2026, reinforcement learning, small models, financial agents

Designing CLIs for Agents, Not Humans — Pedro Lopez, Airbyte video thumbnail ►

Designing CLIs for Agents, Not Humans — Pedro Lopez, Airbyte

AI Engineer · 2026, CLI design, MCP, agent tools

Why 80% Reliability Isn't Good Enough — Felipe Blanes, Amazon AGI Lab video thumbnail ►

Why 80% Reliability Isn't Good Enough — Felipe Blanes, Amazon AGI Lab

AI Engineer · 2026, agent evaluation, customer feedback, browser agents

OWASP Agentic AI Top 10 Explained | Secure AI Agents in Azure video thumbnail ►

OWASP Agentic AI Top 10 Explained | Secure AI Agents in Azure

MadeForCloud · 2026, agent security, OWASP, goal hijacking

Educators

Swyx profile photo

Swyx

AI Engineer · Intermediate to advanced

A useful hub for the emerging AI engineering stack and practitioner talks.

Skills

AI engineering, Agents, Developer tools

Andrew Ng profile photo

Andrew Ng

DeepLearning.AI Short Courses · Beginner to advanced

Structured, practical courses from prompt engineering through agentic workflows.

Skills

Prompting, Agents, RAG, ML foundations

Matt Pocock profile photo

Matt Pocock

AI Hero · Beginner to advanced

Practical developer-focused AI education across LLM fundamentals, AI SDK app development, MCP, Claude Code workflows, agent-ready codebases, evals, TDD, handoffs, and reusable skills such as /teach, /grill-me, /to-prd, /to-issues, /tdd, /triage, and /handoff.

Skills

AI coding, Claude Skills, Agentic workflows, AI SDK, MCP, LLM fundamentals, Personalized learning

School of AI Automation profile photo

School of AI Automation

School of AI Automation · Beginner to intermediate

Skool community aimed at people who want reliable AI agent systems and their first clients without starting as engineers.

Skills

AI agents, Client acquisition, Templates, Automation systems

Jam Anderson profile photo

Jam Anderson

Club Jam AI for Entrepreneurs · Beginner to intermediate

Skool profile describes AI training for entrepreneurs and small business owners with no tech and no hype.

Skills

ChatGPT, Claude, AI agents, Small business AI

James Wild profile photo

James Wild

AI Founders Labs · Beginner to intermediate

Skool hub collecting tools, files, walkthroughs, prompts, and lightweight interfaces for AI founders.

Skills

AI agents, Ready-made projects, Dashboards, Prompts

Role-friendly overview of the AI landscape for leaders who need to understand assistants, avatars, automations, and agents.

Skills

AI leadership, Assistants, Avatars, Automations, Agents

Cole Medin profile photo

Cole Medin

Cole Medin AI agents and local AI · Beginner to intermediate

Consistently practical agent, RAG, local AI, and automation teaching with a strong bias toward workflows you can actually reproduce.

Skills

AI agents, RAG, Local AI, n8n, Claude Code

Matthew Berman profile photo

Matthew Berman

Forward Future · Beginner to intermediate

Useful when you want creator-led walkthroughs, current open-source experiments, and practical explanations without reading raw docs all day.

Skills

AI agents, Open-source AI, Vibe coding, MCP, AI workflows

Mervin Praison profile photo

Mervin Praison

PraisonAI · Intermediate

A practical open-source builder path for learners who want agent patterns, examples, and tool integrations they can inspect directly.

Skills

AI agents, Multi-agent workflows, MCP, RAG, Open source

Jerry Liu profile photo

Jerry Liu

LlamaIndex · Intermediate

Strong practical material for connecting LLMs to private data, documents, retrieval, and workflows.

Skills

RAG, Agents, Document workflows, Context augmentation

Ben Lorica profile photo

Ben Lorica

The Data Exchange · Intermediate

Good practitioner interviews across data, ML, and AI engineering.

Skills

Data systems, ML engineering, AI trends

James Briggs profile photo

James Briggs

James Briggs AI tutorials · Beginner to intermediate

Useful practical explanations of embeddings, retrieval, LangChain, Pinecone, and agent workflows.

Skills

Vector search, RAG, Agents, Embeddings

Connor Shorten profile photo

Connor Shorten

Weaviate education videos · Beginner to intermediate

Good interviews and tutorials around vector databases, retrieval systems, and AI app patterns.

Skills

Vector search, RAG, Hybrid search, Agents

Dave Ebbelaar profile photo

Dave Ebbelaar

Dave Ebbelaar AI automation · Beginner to intermediate

Practical AI automation videos for workflows, agents, and business process improvements.

Skills

Automation, Agents, AI workflows, No-code tools

Useful for thinking about AI-native software, structured workflows, and developer experience.

Skills

AI engineering, Developer tools, Agents, Structured data

Providers and platforms

High-signal practitioner talks and demos that show what builders are actually trying, where agent systems break, and how workflows get stitched together in the real world.

Topics

Agents, Browser automation, AI engineering, Applied demos, Community learning

Hugging Face profile photo

Hugging Face

Hugging Face Learn · Beginner to advanced

One of the best free ecosystems for learning open-source AI by building with models, datasets, spaces, agents, context engineering, and MCP workflows.

Topics

Agents, Context engineering, MCP, Transformers, Post-training, Open models

Official material for learning Anthropic's current Claude family, model tradeoffs, Claude Code, MCP, computer use, practical prompt workflows, and team model-governance workflows without relying on third-party summaries.

Topics

Claude models, Claude Code, MCP, Computer use, AI fluency, Frontier model selection, Model governance, Release notes

LangChain profile photo

LangChain

LangChain Academy · Intermediate

Useful when you are ready to build multi-step LLM applications, agents, and graph-based workflows.

Topics

LangGraph, Agents, LLM orchestration, RAG

OpenAI profile photo

OpenAI

OpenAI docs, Academy, and Cookbook · Beginner to advanced

Official model and implementation material for learning GPT-6 Astra and cost-sensitive GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, structured outputs, and OpenAI's Academy learning path.

Topics

GPT-6 Astra, GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories

Microsoft profile photo

Microsoft

AI Agents for Beginners · Beginner to intermediate

A structured lesson path for understanding when to use agents and how to build simple agentic systems.

Topics

Agents, Multi-agent workflows, Tool use

AssemblyAI profile photo

AssemblyAI

AssemblyAI YouTube · Beginner to intermediate

Practical developer tutorials and clear overviews of current AI engineering topics.

Topics

Speech AI, LLMs, Agents, ML concepts

DeepLearning.AI profile photo

DeepLearning.AI

DeepLearning.AI · Beginner to advanced

A broad catalog of structured AI courses, including many short practical courses from tool creators.

Topics

Generative AI, Deep learning, Prompting, Agents

AWS Skill Builder profile photo

AWS Skill Builder

AWS AI and ML training · Beginner to advanced

Best for people learning AI services, generative AI apps, and ML workflows on AWS.

Topics

Cloud AI, Agents, MLOps, Generative AI

Microsoft Learn profile photo

Microsoft Learn

Microsoft Learn AI · Beginner to advanced

Useful for Azure AI services, Copilot extensibility, and Microsoft-focused AI app development.

Topics

Azure AI, Agents, Copilot, Cloud AI

Good for beginners who want guided coding exercises while learning AI concepts.

Topics

AI foundations, Python, Prompting, LLM apps

n8n profile photo

n8n

n8n AI workflow tutorials · Intermediate

Good for building agentic workflows that connect LLMs with APIs and business systems.

Topics

Automation, Agents, Tool use, Workflow design

Relevance AI profile photo

Relevance AI

Relevance AI Academy · Beginner to intermediate

Useful for teams learning agent workflows without building every piece from scratch.

Topics

Agents, Automation, AI workflows, No-code tools

Gumloop profile photo

Gumloop

Gumloop tutorials · Beginner to intermediate

Template-led way to learn AI automations for research, scraping, enrichment, and repetitive operations.

Topics

Automation, No-code AI, AI workflows, Agents

CrewAI profile photo

CrewAI

CrewAI docs · Intermediate

Useful for learning role-based multi-agent patterns and orchestration concepts.

Topics

Agents, Multi-agent workflows, Tool use, Automation

Good for learning multi-agent design patterns and conversation-based orchestration.

Topics

Agents, Multi-agent workflows, Tool use, AI engineering

Official Gemini material for learning Gemini 3.8 Flash and the current stable, preview, latest, and experimental model lineup, plus the now-GA Interactions API, Lyria music generation, prompt design, function calling, background execution, Deep Research, Computer Use, Hooks, Live API, File Search, coding-agent setup, multimodal tradeoffs, and AI Studio workflows.

Topics

Gemini 3.8 Flash, Gemini models, Multimodal AI, Long context, Model selection, AI Studio, Interactions API, Background execution, Deep Research, Computer Use, Hooks, Live API, Coding agents, Music generation, File Search, API examples

Mistral AI profile photo

Mistral AI

Mistral models docs · Beginner to advanced

Official material for comparing current Mistral families such as Devstral, Magistral, Voxtral, OCR, and newer Small and Medium models across coding, reasoning, and multimodal use cases.

Topics

Mistral models, Open models, Model selection, Agents, Coding, Reasoning, Multimodal AI

Qwen profile photo

Qwen

Qwen docs · Beginner to advanced

Official Qwen material for learning the Qwen3 family, multilingual and multimodal capabilities, local deployment paths, and function-calling behavior.

Topics

Qwen, Open models, Multilingual AI, Coding agents, Multimodal AI, Model selection

Agent tools and skill directories

Skill system

OpenClaw Skills

OpenClaw · Official docs

Use this to understand the OpenClaw skill format: markdown instruction files in directories with SKILL.md frontmatter and tool-use guidance.

Start

Read the official skills docs before installing community skills, then test one low-risk local skill in a disposable workspace.

Agent harness

OpenClaw

OpenClaw · Open-source agent harness

Use this when you want an agent runtime you can shape with local skills, plugins, and workspace-level behavior.

Start

Start with the docs, install the minimum useful setup, then add one skill only after you understand its file access and commands.

AI worker platform

Mission Control AI

Mission Control AI · Preconfigured AI workers

Use this when you want role-specific AI workers with SOPs, integrations, and governance policies already built in.

Start

Map one operational process, identify data and approval boundaries, and evaluate whether a prebuilt worker fits before building custom agents.

Engineering automation platform

VIKTOR.AI

VIKTOR.AI · AI-powered engineering apps and agents

Use this when the agent problem is domain engineering workflow automation, not general business admin.

Start

Find a repeatable engineering calculation, review, or reporting workflow and evaluate whether a domain app is safer than a general agent.

Learning paths

Resources

OpenAI Cookbook

GitHub repo · OpenAI · Beginner to advanced

You need implementation examples rather than theory.

api, examples, rag, agents

Microsoft AI Agents for Beginners

GitHub repo · Microsoft · Beginner to intermediate

You want a structured agent learning path with code.

agents, workshops, beginner

Prompt Engineering Guide

Guide · DAIR.AI · Beginner to advanced

You want examples of prompting techniques and patterns.

prompting, rag, reasoning, agents

AI SDK v6 Crash Course

Workshop · Matt Pocock · Intermediate

You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns.

ai sdk, llm apps, agents, streaming, evals

LLM Fundamentals

Free tutorial · Matt Pocock · Beginner

You need clear mental models for system prompts, tokens, context windows, tools, and agents before building or using AI systems seriously.

llm fundamentals, tokens, context windows, tools, agents

Vercel AI SDK Tutorial

Free tutorial · Matt Pocock · Beginner to intermediate

You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents.

ai sdk, typescript, streaming, structured outputs, tool calling

Model Context Protocol Tutorial

Free tutorial · Matt Pocock · Intermediate

You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution.

mcp, typescript, claude code, tool calling, agents

AI Coding Dictionary

Dictionary · Matt Pocock · Beginner to intermediate

You want plain-English definitions for agentic coding concepts such as context windows, tools, MCP, handoffs, skills, subagents, feedback loops, and agent-ready work.

ai coding, agent vocabulary, context engineering, claude skills

A Complete Guide To AGENTS.md

Guide · Matt Pocock · Intermediate

You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries.

agents.md, context engineering, ai coding, agentic workflows

How To Make Codebases AI Agents Love

Guide · Matt Pocock · Intermediate

You want to improve a codebase so AI agents can navigate it, run checks, make smaller changes, and recover from mistakes more reliably.

ai coding, agentic workflows, codebase architecture, developer tools

AI Agents in LangGraph

Short course · DeepLearning.AI · Intermediate

You want a focused course on building stateful AI agents and agent workflows with LangGraph.

agents, langgraph, tool use, agentic workflows, ai engineering

Multi AI Agent Systems with crewAI

Short course · DeepLearning.AI · Beginner to intermediate

You want a practical introduction to role-based multi-agent systems and task orchestration.

agents, multi-agent workflows, crewai, automation

MCP: Build Rich-Context AI Apps with Anthropic

Short course · DeepLearning.AI · Intermediate

You want a hands-on MCP course for connecting tools, context, and Claude-powered apps.

mcp, anthropic, tool use, context engineering, agents

Hugging Face MCP Course

Free course · Hugging Face · Beginner to intermediate

You want a free structured MCP path with concepts, assignments, SDKs, and a certificate route.

mcp, model context protocol, agents, tools, integrations

Evaluating AI Agents

Short course · DeepLearning.AI · Intermediate

You need to test, trace, and improve agent workflows instead of judging only single LLM responses.

agent evals, evals, agents, reliability, tracing

Building Coding Agents with Tool Execution

Short course · DeepLearning.AI · Intermediate

You want to understand how coding agents use tools, inspect code, run commands, and iterate on software tasks.

coding agents, tool execution, developer tools, agents, ai coding

Claude Code: A Highly Agentic Coding Assistant

Short course · DeepLearning.AI · Beginner to intermediate

You want a structured Claude Code course before using it on a serious codebase.

claude code, coding agents, developer tools, ai coding, anthropic

LangChain for LLM Application Development

Short course · DeepLearning.AI · Beginner to intermediate

You want a fast introduction to building LLM applications with chains, retrieval, and tools.

llm apps, langchain, agents, rag, ai engineering

Giskard

Agent testing and red-team framework · Giskard AI · Intermediate to advanced

Behavioral tests and adversarial scans of multi-turn agents, chatbots, and RAG systems from a pytest-compatible workflow.

evals, llm evaluation, ai quality, open-source frameworks

Microsoft Foundry evaluations

Cloud evaluation portal and SDK · Microsoft · Intermediate to advanced

Microsoft Foundry teams evaluating models, RAG systems, and single- or multi-turn agents for quality, safety, task completion, and tool use.

evals, llm evaluation, ai quality, cloud and provider evals

Harbor

Agent evaluation and optimization harness · Harbor Framework Team · Intermediate to advanced

Running coding and computer-use agents against reproducible, sandboxed task suites at local or cloud scale.

evals, llm evaluation, ai quality, benchmarks and learning resources

SWE-bench

Software-engineering agent benchmark · SWE-bench team · Intermediate to advanced

Measuring whether coding agents can resolve real GitHub issues by producing repository patches that pass executable tests.

evals, llm evaluation, ai quality, benchmarks and learning resources

Terminal-Bench

Terminal-agent benchmark · Harbor Framework and Laude Institute · Intermediate to advanced

Comparing agents on difficult, verifiable coding, systems, security, and scientific work inside sandboxed terminals.

evals, llm evaluation, ai quality, benchmarks and learning resources

Demystifying evals for AI agents

Agent-evaluation learning resource · Anthropic · Intermediate to advanced

Product and engineering teams designing practical evaluations for multi-turn, tool-using agents.

evals, llm evaluation, ai quality, benchmarks and learning resources

Generative AI Leader Certification

Certification learning path · Google Cloud · Beginner to intermediate

Use this five-course learning path to prepare leaders to explain generative AI, apply Google's AI tools to business innovation, and prepare for the Generative AI Leader certification.

generative ai leader, business transformation, gemini, ai agents, certification

GitHub Copilot computer use explained

Desktop agent safety guide · GitHub · Intermediate

GitHub released Copilot computer use in public preview on October 1, 2026. Use this guide to decide when visual desktop control is appropriate, enable it deliberately, and test its permission and stop controls before real work.

github copilot, computer use, desktop agents, copilot cli, gui automation

Claude Sonnet 5.5 explained

Model migration explainer · Anthropic · Intermediate to advanced

Anthropic released Claude Sonnet 5.5 on September 28, 2026. Use this guide to understand the efficiency claims, breaking API changes, and a safe migration test from Sonnet 5.

claude sonnet 5.5, claude code, coding agents, model migration, adaptive thinking

Ember-1 explained

Reasoning-efficient coding model explainer · Fireworks AI · Intermediate to advanced

Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.

ember-1, kimi k3, reasoning models, reasoning tokens, cost optimization

Google Cloud API Gateway MCP explained

MCP gateway launch explainer · Google Cloud · Intermediate

Google announced API Gateway MCP support on September 24, 2026. Use this explainer to assess the request flow, security boundary, preview limits, and a safe first rollout.

mcp, model context protocol, api gateway, openapi, ai agents

Claude and the ART enzyme system explained

AI-assisted science explainer · Anthropic · Intermediate

Anthropic reported ART on September 23, 2026. Use this explainer to separate what its agents found, what the lab confirmed, and what remains a hypothesis.

claude, ai agents, ai for science, biology, genome mining

Grok 4.7 explained

Frontier coding model launch explainer · SpaceXAI · Intermediate to advanced

SpaceXAI released Grok 4.7 on September 21, 2026 for coding, agentic tasks, and knowledge work. Use this guide to compare its task reliability and total cost with your current model.

grok 4.7, coding agents, long-running agents, model selection, evals

Union Alpha revealed as Pareto 26.9

Multi-model routing launch explainer · Unbiased · Intermediate to advanced

Union Alpha was revealed as Unbiased's Pareto 26.9 on September 17, 2026: a hosted system that routes work across several models and returns one checked answer.

pareto 26.9, union alpha, model routing, ensembles, coding agents

Qwen3.8-Omni-Flash explained

Omnimodal model launch explainer · Qwen · Intermediate

Qwen3.8-Omni-Flash launched September 18, 2026 for long audio and video analysis, text answers, web search, and tool-calling workflows.

qwen3.8, omnimodal models, audio, video, agents

The Anatomy of Harness Engineering

Coding agent evaluation guide · Google Developers Blog · Intermediate to advanced

You want Google's September 9, 2026 guide to evaluating coding agents with small behavioral checks, outcome-based assertions, and batch runs that catch regressions without treating a single benchmark score as the whole story.

coding agents, evals, behavioral evaluations, regression testing, harness engineering

Introducing the Agents API

Managed agent API launch and guide · OpenAI · Intermediate to advanced

You want OpenAI's September 10, 2026 launch guide for building long-running cloud agents with the managed Codex harness, context compaction, tool search, multi-agent delegation, and your choice of hosted or self-managed sandbox.

openai, agents, codex, context compaction, multi-agent