Best MCP courses and tutorials
What is the best MCP course?
DeepLearning.AI's MCP course is a strong short starting point, while Hugging Face's MCP Course is useful if you want a free structured route. Pair either with the official Anthr...
Learnetto AI directory
Find the best AI educators, resources, and learning paths.
A compact directory for people who want practical AI skills and up-to-date official docs: prompting, automation, coding agents, MCP, model selection, AI product work, RAG, evals, model internals, and production AI engineering.
183 educators
12 learning paths
10 agent tools
41 AI answers
625 resources
New guide · AI coding
Review AI-generated code before it reaches main
Use a six-pass review that checks intent, evidence, dependencies, security, user behavior, and the exact commit that will merge.
AI Q&A
Answers to common AI learning questions
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
Best MCP courses and tutorials
Where should developers learn Model Context Protocol?
Developers should start with a course that builds an MCP server, then read primary-source docs for client behavior, authentication, tool descriptions, resources, and deployment ...
Best MCP courses and tutorials
What should I know before building an MCP tool?
You should know what data the tool can expose, who may call it, how errors are returned, where secrets live, and whether the assistant should act directly or ask for human appro...
Best AI agent evaluation courses
How do I evaluate AI agents?
Evaluate the full trajectory: tool calls, source use, intermediate decisions, final answer, and stopping behavior. Agent evals need traces and scenario datasets, not just final-...
Best AI agent evaluation courses
What course teaches agent evals?
Evaluating AI Agents is the clearest course-style starting point. Follow it with OpenAI agent eval docs, Phoenix, Promptfoo, or Hamel Husain's eval material for practical implem...
Best AI agent evaluation courses
What failures should agent evals include?
Include wrong tool choice, bad retrieval, stale data, unsafe actions, loops, missing clarification, and cases where the agent should stop. These are the failures that polished d...
Recently added
Daily new AI learning picks
New directory additions across educator videos, newsletters, social feeds, official model docs, agents, coding tools, and model-selection references. Today's selection: Oct 17, 2026.
Choose how to scan the same daily picks: keep the current layout, mix formats, or read it like a feed.
Technical article
FS Data Lab
How to Cost Your AI-Powered Filters
FS Data Lab published this guide on October 1, 2026. Use it when you want a rigorous way to estimate GPU latency and inference cost for AI-powered SQL filters, compare filter orderings, and understand how compute, memory bandwidth, selectivity, batching, and KV-cache reuse affect a query plan.
ai-sql
inference cost
filter ordering
Connected-finance safety guide
OpenAI
ChatGPT Finances privacy and accuracy guide
OpenAI announced on October 2, 2026 that ChatGPT Finances is rolling out to Free and Go users in the United States. Use this guide to understand the connected-account workflow, check the source data behind answers, and review privacy controls before linking an account.
chatgpt
personal finance
connected accounts
Desktop agent safety guide
GitHub
GitHub Copilot computer use explained
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
Data agent product guide
OpenAI
OpenAI Data agent in ChatGPT Work
You want OpenAI's September 10, 2026 overview of the Data agent in ChatGPT Work, which connects company data, investigates changes, and produces interactive dashboards through a conversational workflow.
openai
data agents
analytics
Frontier AI safety policy guide
OpenAI
The AI policy window is open. We need to act.
You want OpenAI's September 9, 2026 policy proposal on frontier AI standards, independent assessments, incident reporting, and preserving human control as capabilities advance.
openai
ai safety
frontier models
Coding agent evaluation guide
Google Developers Blog
The Anatomy of Harness Engineering
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
Agent security architecture guide
Meta AI
How Meta built safety into Muse
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
meta
muse
agent security
Coding agent workflow release notes
Qwen
Qwen Code September 10 weekly update
You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.
qwen code
coding agents
workflow observability
Model launch and selection guide
Google AI
Gemini 3.8 Flash launch
You want Google's September 2, 2026 launch details for Gemini 3.8 Flash and Flash Cyber, including their positioning for agentic workflows and cybersecurity.
google
gemini
frontier models
►
Video · AI Engineer
Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Coder
Use this October 14 talk to audit where coding agents run, which credentials they can read, how they reach production, and whether investigators can trust the resulting logs.
Technical article · FS Data Lab
How to Cost Your AI-Powered Filters
FS Data Lab published this guide on October 1, 2026. Use it when you want a rigorous way to estimate GPU latency and inference cost for AI-powered SQL filters, compare filter orderings, and understand how compute, memory bandwidth, selectivity, batching, and KV-cache reuse affect a query plan.
ai-sql
inference cost
filter ordering
roofline model
Connected-finance safety guide · OpenAI
ChatGPT Finances privacy and accuracy guide
OpenAI announced on October 2, 2026 that ChatGPT Finances is rolling out to Free and Go users in the United States. Use this guide to understand the connected-account workflow, check the source data behind answers, and review privacy controls before linking an account.
chatgpt
personal finance
connected accounts
plaid
►
Video · AI Engineer
How to Actually Tokenmaxx and Save Millions — Alvin Pane, OutRival
Use this October 14 talk before shortening a production prompt or replacing its model, especially when ordinary agreement scores confuse real regressions with model variance.
Desktop agent safety guide · GitHub
GitHub Copilot computer use explained
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
Data agent product guide · OpenAI
OpenAI Data agent in ChatGPT Work
You want OpenAI's September 10, 2026 overview of the Data agent in ChatGPT Work, which connects company data, investigates changes, and produces interactive dashboards through a conversational workflow.
openai
data agents
analytics
enterprise
►
Video · AI Engineer
Rebuilding CI for AI-Scale Commit Volume — Gautam Korlam, SonarSource
Use this October 14 talk when coding agents create changes faster than CI, reviewers, and merge controls can verify them.
Frontier AI safety policy guide · OpenAI
The AI policy window is open. We need to act.
You want OpenAI's September 9, 2026 policy proposal on frontier AI standards, independent assessments, incident reporting, and preserving human control as capabilities advance.
openai
ai safety
frontier models
evaluations
Coding agent evaluation guide · Google Developers Blog
The Anatomy of Harness Engineering
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
Agent security architecture guide · Meta AI
How Meta built safety into Muse
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
meta
muse
agent security
prompt injection
Coding agent workflow release notes · Qwen
Qwen Code September 10 weekly update
You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.
qwen code
coding agents
workflow observability
context management
VID
AI Engineer posted a video pick
2026 · coding agent security · sandboxing
Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Coder
Use this October 14 talk to audit where coding agents run, which credentials they can read, how they reach production, and whether investigators can trust the resulting logs.
F
FS Data Lab added technical article
How to Cost Your AI-Powered Filters
FS Data Lab published this guide on October 1, 2026. Use it when you want a rigorous way to estimate GPU latency and inference cost for AI-powered SQL filters, compare filter orderings, and understand how compute, memory bandwidth, selectivity, batching, and KV-cache reuse affect a query plan.
ai-sql
inference cost
filter ordering
roofline model
O
OpenAI added connected-finance safety guide
ChatGPT Finances privacy and accuracy guide
OpenAI announced on October 2, 2026 that ChatGPT Finances is rolling out to Free and Go users in the United States. Use this guide to understand the connected-account workflow, check the source data behind answers, and review privacy controls before linking an account.
chatgpt
personal finance
connected accounts
plaid
VID
AI Engineer posted a video pick
2026 · prompt optimization · prompt caching
How to Actually Tokenmaxx and Save Millions — Alvin Pane, OutRival
Use this October 14 talk before shortening a production prompt or replacing its model, especially when ordinary agreement scores confuse real regressions with model variance.
G
GitHub added desktop agent safety guide
GitHub Copilot computer use explained
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
O
OpenAI added data agent product guide
OpenAI Data agent in ChatGPT Work
You want OpenAI's September 10, 2026 overview of the Data agent in ChatGPT Work, which connects company data, investigates changes, and produces interactive dashboards through a conversational workflow.
openai
data agents
analytics
enterprise
VID
AI Engineer posted a video pick
2026 · coding agents · continuous integration
Rebuilding CI for AI-Scale Commit Volume — Gautam Korlam, SonarSource
Use this October 14 talk when coding agents create changes faster than CI, reviewers, and merge controls can verify them.
O
OpenAI added frontier ai safety policy guide
The AI policy window is open. We need to act.
You want OpenAI's September 9, 2026 policy proposal on frontier AI standards, independent assessments, incident reporting, and preserving human control as capabilities advance.
openai
ai safety
frontier models
evaluations
G
Google Developers Blog added coding agent evaluation guide
The Anatomy of Harness Engineering
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
M
Meta AI added agent security architecture guide
How Meta built safety into Muse
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
meta
muse
agent security
prompt injection
Q
Qwen added coding agent workflow release notes
Qwen Code September 10 weekly update
You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.
qwen code
coding agents
workflow observability
context management
AI video library
Watch first
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
►
The Highest Loop — swyx
AI Engineer · 2026, AI engineering, agent loops
►
I Spent Two Years Building the Median — Hariprasad Sudharshan
AI Engineer · 2026, AI product strategy, novelty budget
►
Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma
AI Engineer · 2026, enterprise AI agents, MCP authorization
►
Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Coder
AI Engineer · 2026, coding agent security, sandboxing
►
How to Actually Tokenmaxx and Save Millions — Alvin Pane, OutRival
AI Engineer · 2026, prompt optimization, prompt caching
►
Rebuilding CI for AI-Scale Commit Volume — Gautam Korlam, SonarSource
AI Engineer · 2026, coding agents, continuous integration
New directory
AI skills, agent harnesses, and worker tools
Find reusable skill registries, local agent harnesses, and AI worker products before choosing what to learn or buy.
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.
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.
Workflow skill catalog
AI Skills for Real Engineers
Matt Pocock / AI Hero · Skill catalog
Use this when you want opinionated coding-agent workflows instead of generic prompt snippets.
AI assistant builder
Lindy
Lindy · AI executive assistant
Use this when the job is business admin across apps rather than custom coding or local agent infrastructure.
Skill marketplace
ClawHub
OpenClaw · Registry
Use this when you need a public registry for OpenClaw skills and plugins rather than hand-copying skill folders.
Agent orchestration
Mission Control
Builderz Labs · Open-source dashboard
Use this when the hard part is seeing, assigning, and coordinating agent work rather than writing another prompt.
Educators to start with
Sorted for range: founders, product teams, developers, evals, model internals, and production systems.
| Educator | Best for | Skills | Start with |
|---|---|---|---|
| Developers building LLM apps | Structured outputs, Extraction, RAG | Try the Instructor examples for extraction and validation. | |
| Builders shipping LLM systems | Evals, RAG, LLM product quality | Read the evals guide and build a small test set for your own app. | |
| Engineers, PMs, AI product teams | Evals, LLM reliability, Product quality | Review the course outcomes and pair it with a real feature you can evaluate. | |
| Engineers, ML practitioners | AI engineering, Systems, Production ML | Use the book page and related essays as a production engineering path. | |
| Beginners, educators, teams | Prompting, AI literacy, Security | Start at the fundamentals section, then move to prompt hacking/security. | |
| Developers, researchers | Prompting, RAG, Reasoning, Agents | Use the prompting techniques and RAG sections as a reference. | |
| ML engineers, data teams | Applied ML, Recommenders, LLM systems | Read the applied ML and LLM systems posts. | |
| ML engineers, researchers | RLHF, Post-training, Alignment | Read the RLHF book chapters in order. | |
| Programmers learning LLM internals | LLM internals, PyTorch, Model training | Clone the repo and work through the notebooks with the book. | |
| Visual learners, developers | Transformers, Embeddings, LLM concepts | Read The Illustrated Transformer, then The Illustrated GPT-2. | |
| Engineers, researchers | Agents, RAG, ML research | Read the posts on LLM-powered autonomous agents and prompt engineering. | |
| Developers, engineering leaders | AI coding, Engineering workflows, Frontend | Look for AI coding and engineering workflow posts. |
Choose by skill
Use these as quick routes into the directory.
Frontier models and model selection
Useful for: Builders choosing between Claude, GPT, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, Perplexity, and hosted open models
Learn: When to use Claude or GPT-class reasoning models for complex coding, analysis, and long-horizon agent work; How Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, and Perplexity differ by modality, openness, retrieval, coding, and price; Context windows, output limits, latency, pricing, tool support, and eval-based routing; How to migrate safely when frontier model versions change
Resources: Anthropic , OpenAI , Google AI for Developers , Meta Llama , Mistral AI , Cohere , DeepSeek , Qwen , xAI , Perplexity , Together AI , OpenRouter , Simon Willison
AI foundations
Useful for: Everyone
Learn: What LLMs can and cannot do; Tokens, context windows, hallucinations; Privacy and data handling
Resources: DeepLearning.AI , Learn Prompting , Ethan Mollick
Prompting and writing
Useful for: Writers, operators, PMs, founders
Learn: Clear task framing; Examples and constraints; Editing, synthesis, and critique loops
Resources: Learn Prompting , DAIR.AI , Peter Yang
Automation and agents
Useful for: Founders, operations teams, developers
Learn: Trigger-based workflows; Tool calling; Agent failure modes; Human review points
Resources: Brian Casel , Josh Pigford , AI Engineer
AI product work
Useful for: PMs, designers, founders
Learn: AI UX patterns; Use-case selection; Prototyping; Measuring quality
Resources: Peter Yang , Lenny Rachitsky , Shreya Shankar
Coding with AI
Useful for: Software developers
Learn: Codebase navigation; Test generation; Refactoring; Reviewing AI output
Resources: Simon Willison , Addy Osmani , Matt Pocock , AI Engineer
Context engineering and MCP
Useful for: Developers using coding agents and tool-connected workflows
Learn: How to structure instructions, memories, and skills; When to use MCP servers versus retrieval or file search; Subagents, hooks, and tool boundaries; How to keep agent context small, relevant, and testable
Resources: Anthropic , Hugging Face , OpenAI , Matt Pocock , Simon Willison
RAG and knowledge systems
Useful for: Developers building AI apps
Learn: Chunking and retrieval; Structured extraction; Reranking; Grounded answers
Resources: Jason Liu , Hamel Husain , Eugene Yan
Resources worth opening
A rotating mix of official docs, hands-on guides, model catalogs, and practical AI engineering resources.
| Resource | Type | Level | Use when |
|---|---|---|---|
|
How to Cost Your AI-Powered Filters
FS Data Lab
|
Technical article | Advanced | FS Data Lab published this guide on October 1, 2026. Use it when you want a rigorous way to estimate GPU latency and inference cost for AI-powered SQL filters, compare filter orderings, and understand how compute, memory bandwidth, selectivity, batching, and KV-cache reuse affect a query plan. |
|
OpenAI model guide
OpenAI
|
Model docs | Beginner to advanced | You need to choose between current GPT-5.6 variants, smaller GPT-5.4 variants, reasoning levels, tool support, and cost-sensitive API paths, including the current default starting points of GPT-5.6 Sol, Terra, and Luna. |
|
Claude Code skills
Anthropic
|
Guide | Intermediate | You want Anthropic's official guide for packaging reusable Claude Code skills instead of leaving long instructions inline in every session. |
|
Hugging Face Context Course
Hugging Face
|
Free course | Intermediate | You want a focused course on context engineering for code agents, including skills, subagents, hooks, and MCP. |
|
Simon Willison on GPT-6 Astra
Simon Willison
|
Model analysis | Intermediate to advanced | You want a concise independent read of GPT-6 Astra's launch claims, benchmark caveats, long-context results, pricing, and early comparison with Claude Fable 5.1 and GPT-5.6 Sol. |
|
Model Context Protocol Tutorial
Matt Pocock
|
Free tutorial | 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. |
|
Union Alpha revealed as Pareto 26.9
Unbiased
|
Multi-model routing launch explainer | 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. |
|
OpenRouter Ori Harness
OpenRouter
|
Coding-agent guide | Intermediate | You want to run an existing Codex, Claude Code, Grok Build, OpenCode, Pi, Prime Agent, Hermes, or DeepSeek Harness workflow against OpenRouter models without replacing the agent CLI you already use. |