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
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.
Breaking · Coding-agent security
Apiiro found 2,539 credentials across current files, Git history, shared settings and agent records. Teams should rotate exposed values before cleaning repositories.
Founder community · Online and in London
Ramen Club brings 500+ founders together to learn, ship, and get unstuck. Founder Charlie Ward runs the online community alongside Ramen Space in Dalston, where London founders can work, meet, and learn in person.
Online community
Live classes, a monthly demo day, mentor feedback, founder introductions, recordings, and an active Slack community.
London community
Founder coworking, AI workshops, events, stand-ups, and shared lunches at Ramen Space in Dalston.
Charlie Ward
Ramen Club founder and validation mentor
AI Q&A
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
Best MCP courses and tutorials
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...
Best MCP courses and tutorials
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
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 resources for model release notes and migrations
Follow the official changelog or release-note page for every provider you actively use, plus its deprecations or shutdown page if available. OpenAI, Anthropic, Gemini, DeepSeek,...
Best AI resources for model release notes and migrations
Use OpenAI deprecations, Claude model deprecations, Gemini deprecations, DeepSeek updates and pricing, Mistral changelog, and xAI release notes. Pair those with the provider's m...
Best AI resources for model release notes and migrations
Watch the release notes, keep evals for your core workflows, compare the replacement model on your own prompts, and only then update the default model or alias. Treat migrations...
Popular on Learnetto
Start with practical guides to current models, evaluation methods, courses, and educators.
Model guide
Understand zero-shot tabular prediction, hardware requirements, limits, licensing, and how to test Kumo against strong baselines.
Evaluation guide
Build an agent-evaluation suite with realistic tasks, calibrated graders, repeated trials, CI checks, and production monitoring.
Course guide
Compare beginner, free, vendor-specific, and advanced paths for learning agent evaluation and reliability.
Course guide
Choose a TypeScript or Python path for moving from LLM demos to reliable production AI applications.
Educator profile
Explore current training on AI-enabled service offers, client acquisition, sales systems, and repeatable delivery.
Educator profile
Find practical n8n automation, AI-agent building, and agency-starting resources for beginners and operators.
Recently added
New directory additions across educator videos, newsletters, social feeds, official model docs, agents, coding tools, and model-selection references. Today's selection: Nov 8, 2026.
Choose how to scan the same daily picks: keep the current layout, mix formats, or read it like a feed.
Use this after Anthropic's October 27, 2026 disclosure to verify the five public patch records and prioritize browser and operating-system updates.
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 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.
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.
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
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.
NVIDIA published Kumo Tabular weights on September 23, 2026 and its launch article on September 29. Use this guide to understand the in-context prediction workflow, run a baseline, size the GPU requirement, and test vendor-reported results on your own tables.
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.
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.
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Video · learnwithparam - AI Engineering Society
Watch this November 4 workshop when you need deterministic checks around code produced by Claude Code, Codex, Cursor or another coding agent.
AI-assisted vulnerability research analysis · Anthropic
Use this after Anthropic's October 27, 2026 disclosure to verify the five public patch records and prioritize browser and operating-system updates.
Technical article · FS Data Lab
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.
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Video · Opaya
Watch this November 3 explainer when you need to distinguish Anthropic's AI R&D threshold from a fully autonomous self-improvement loop.
Connected-finance safety guide · OpenAI
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.
Model launch and selection guide · Google AI
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.
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Video · Patrick Boyle
Watch this October 31 filing analysis when you want to separate Anthropic's operating results, accounting revaluation, compute commitments and voting structure.
Agent security architecture guide · Anthropic
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
Desktop agent safety guide · GitHub
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.
Tabular foundation model explainer · NVIDIA
NVIDIA published Kumo Tabular weights on September 23, 2026 and its launch article on September 29. Use this guide to understand the in-context prediction workflow, run a baseline, size the GPU requirement, and test vendor-reported results on your own tables.
Model migration explainer · Anthropic
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.
learnwithparam - AI Engineering Society posted a video pick
coding agents · verification · Claude Code
Watch this November 4 workshop when you need deterministic checks around code produced by Claude Code, Codex, Cursor or another coding agent.
Anthropic added ai-assisted vulnerability research analysis
Use this after Anthropic's October 27, 2026 disclosure to verify the five public patch records and prioritize browser and operating-system updates.
FS Data Lab added technical article
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.
Opaya posted a video pick
2026 · Anthropic · recursive self-improvement
Watch this November 3 explainer when you need to distinguish Anthropic's AI R&D threshold from a fully autonomous self-improvement loop.
OpenAI added connected-finance safety 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.
Google AI added model launch and selection guide
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.
Patrick Boyle posted a video pick
2026 · Anthropic · IPO
Watch this October 31 filing analysis when you want to separate Anthropic's operating results, accounting revaluation, compute commitments and voting structure.
Anthropic added agent security architecture guide
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
GitHub added desktop agent safety guide
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.
NVIDIA added tabular foundation model explainer
NVIDIA published Kumo Tabular weights on September 23, 2026 and its launch article on September 29. Use this guide to understand the in-context prediction workflow, run a baseline, size the GPU requirement, and test vendor-reported results on your own tables.
Anthropic added model migration explainer
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.
AI video library
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
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OpenAI · LifeVal, AI agents, personal assistants
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Devsplainers · self-hosted AI, Claude Code, GLM 5.3
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Tristen O'Brien · Claude Code, AI agents, subagents
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learnwithparam - AI Engineering Society · coding agents, verification, Claude Code
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Opaya · 2026, Anthropic, recursive self-improvement
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Patrick Boyle · 2026, Anthropic, IPO
New directory
Find reusable skill registries, local agent harnesses, and AI worker products before choosing what to learn or buy.
Workflow skill catalog
Matt Pocock / AI Hero · Skill catalog
Use this when you want opinionated coding-agent workflows instead of generic prompt snippets.
AI assistant builder
Lindy · AI executive assistant
Use this when the job is business admin across apps rather than custom coding or local agent infrastructure.
Skill marketplace
OpenClaw · Registry
Use this when you need a public registry for OpenClaw skills and plugins rather than hand-copying skill folders.
Agent orchestration
Builderz Labs · Open-source dashboard
Use this when the hard part is seeing, assigning, and coordinating agent work rather than writing another prompt.
AI worker platform
Mission Control AI · Preconfigured AI workers
Use this when you want role-specific AI workers with SOPs, integrations, and governance policies already built in.
Self-improving agent
Nous Research · Open-source agent
Use this when persistent memory, skill creation from completed tasks, and remote agent operation matter more than a simple chat UI.
Sorted for range: founders, product teams, developers, evals, model internals, and production systems.
| Educator | Best for | Skills | Start with |
|---|---|---|---|
| Course creators, coaches, entrepreneurs | AI productivity, Creator businesses, Offers, Business workflows | Start with the community basics and map one AI-assisted workflow to your offer, audience, or content plan. | |
| Marketers, creators, small business owners | AI marketing, Campaign systems, Content workflows, Customer acquisition | Join the community and rebuild one campaign workflow using AI for research, drafts, and measurement. | |
| Women entrepreneurs, local service owners, marketers | AI marketing, Canva, Flyers, Client attraction | Begin with the free prompts and 7-day marketing jumpstart, then make one real flyer or client-attraction asset. | |
| Indie founders, product builders | Founder workflows, Product ops, Automation | Read the public notes and examples before deciding whether the paid material matches your business. | |
| Founders, service business owners | Founder workflows, Systems, Automation | Look for workflow breakdowns and implementation examples. | |
| Product managers, founders | Product strategy, Writing, AI adoption | Review the Maven syllabus and compare it to your current product workflow. | |
| Product teams, founders | Product, Growth, Team adoption | Browse the How I AI interviews and copy the workflows that match your role. | |
| Knowledge workers, educators, leaders | AI literacy, Workplace adoption, Strategy | Read recent essays on using AI as a collaborator and on organizational adoption. | |
| Developers, AI engineers | AI engineering, Agents, Developer tools | Watch AI Engineer talks for production patterns and tool choices. | |
| Everyone from beginners to builders | Prompting, Agents, RAG, ML foundations | Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course. | |
| Coders learning deep learning | Deep learning, PyTorch, Model training | Practical Deep Learning for Coders, lesson 1. | |
| Developers, data scientists | Practical ML, Ethics, Education | Use fast.ai essays and course material alongside hands-on notebooks. |
Use these as quick routes into the directory.
Useful for: Engineering teams
Learn: Observability; Cost and latency; Deployment; Data pipelines
Resources: Full Stack Deep Learning , Chip Huyen , Eugene Yan
Useful for: Leaders, managers, founders
Learn: Team habits; Org workflows; Policy; Change management
Resources: Ethan Mollick , Lenny Rachitsky , Latent Space
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
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
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
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
Useful for: PMs, designers, founders
Learn: AI UX patterns; Use-case selection; Prototyping; Measuring quality
Resources: Peter Yang , Lenny Rachitsky , Shreya Shankar
Useful for: Software developers
Learn: Codebase navigation; Test generation; Refactoring; Reviewing AI output
Resources: Simon Willison , Addy Osmani , Matt Pocock , AI Engineer
A rotating mix of official docs, hands-on guides, model catalogs, and practical AI engineering resources.
| Resource | Type | Level | Use when |
|---|---|---|---|
|
GitHub Copilot code review API rollout guide
GitHub
|
AI code review guide | Intermediate | Use this guide to roll out Copilot code review across repositories without treating an AI review as a merge gate or giving review tools unnecessary access. |
|
Claude Code local-settings secret leak response guide
Apiiro
|
AI coding-agent security analysis | Intermediate | Use this guide to find credentials recorded in Claude Code settings, rotate exposed secrets and prevent local approvals from entering Git history. |
|
Agent memory: notes, dreams and knowledge wikis
Anthropic
|
AI agent memory guide | Intermediate | Use this guide to decide what an AI agent should remember, how to correct stale notes and when a knowledge wiki is worth maintaining. |
|
Inkling 2 Small release and evaluation guide
Thinking Machines Lab
|
Open-weight model release analysis | Intermediate to advanced | Use this guide to assess Inkling 2 Small's architecture, planned open weights, benchmarks, costs and fit for your work. |
|
OpenAI Images 2.6 launch guide
OpenAI
|
AI image model launch analysis | Beginner to intermediate | Use this guide to choose between Flare and Sunburst, test the new editing controls, estimate cost and decide whether an existing image workflow should move to Images 2.6. |
|
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. |
|
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. |
|
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. |