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Pinecone semantic search
Pinecone · vector databases, rag, embeddings, search
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.
67 matches for "data"
Educators
Rachel Thomas
fast.ai · Beginner to intermediate
Good practical teaching on making ML more understandable and useful.
Skills
Practical ML, Ethics, Education
Jason Liu
Instructor · Intermediate
Practical patterns for getting reliable structured data from LLMs.
Skills
Structured outputs, Extraction, RAG
Eugene Yan
Eugene Yan · Intermediate to advanced
Useful for practical ML and LLM systems thinking without vendor hype.
Skills
Applied ML, Recommenders, LLM systems
Christopher Penn
Trust Insights · Beginner to intermediate
Practical explanations of AI, analytics, and marketing workflows for people who need business outcomes and measurement.
Skills
AI marketing analytics, Prompting, Data strategy, Measurement
Rand Fishkin
SparkToro · Beginner to intermediate
Clear strategic context for how AI changes discovery, search, and audience behavior.
Skills
AI search, Audience research, Marketing strategy, Content quality
Chase Dimond
Email marketing and AI workflows · Beginner to intermediate
Practical email and ecommerce marketing workflows where AI can support ideation, segmentation, and draft generation.
Skills
AI email marketing, Lifecycle campaigns, Copywriting, Ecommerce
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
The Data Exchange · Intermediate
Good practitioner interviews across data, ML, and AI engineering.
Skills
Data systems, ML engineering, AI trends
Greg Kamradt
Data Independent AI tutorials · Beginner to intermediate
Practical walkthroughs for retrieval, LLM application patterns, and common developer questions.
Skills
RAG, LLM apps, Prompting, Evaluation
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
Tina Huang
Tina Huang AI and data career videos · Beginner
Accessible learning and career guidance for people entering data and AI work.
Skills
AI literacy, Data skills, Career learning, Prompting
Krish Naik
Krish Naik AI tutorials · Beginner to intermediate
Large catalog of practical machine learning, deep learning, and generative AI tutorials.
Skills
Machine learning, Deep learning, LLM apps, MLOps
Sean Grove
OpenAI and AI engineering talks · Intermediate
Useful for thinking about AI-native software, structured workflows, and developer experience.
Skills
AI engineering, Developer tools, Agents, Structured data
Providers and platforms
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
Kaggle
Kaggle Learn · Beginner
Useful for people who need the data and ML basics before working seriously with AI tools.
Topics
Python, Machine learning, Data preparation, Computer vision
Pinecone
Pinecone Learn · Beginner to advanced
Useful for understanding vector search, embeddings, chunking, retrieval, and RAG system design.
Topics
Vector databases, RAG, Embeddings, Search
Weaviate
Weaviate Academy · Beginner to intermediate
Good structured learning around vector databases, retrieval, and search relevance.
Topics
Vector search, RAG, Hybrid search, Embeddings
Langfuse
Langfuse Docs · Intermediate
Good operational material for tracing, scoring, and improving production LLM apps.
Topics
Observability, Prompt management, Evals, Tracing
Humanloop
Humanloop Blog and Docs · Intermediate
Useful for teams building repeatable AI product processes around prompts, datasets, and evaluations.
Topics
Prompt management, Evals, LLM workflows
DataTalks.Club
DataTalks.Club ML Zoomcamp · Beginner to intermediate
Useful structured free courses for the data/ML engineering skills underneath AI products.
Topics
ML engineering, MLOps, Data engineering
Google Cloud Skills Boost
Google Cloud AI learning paths · Beginner to advanced
Hands-on labs for people building AI systems on Google Cloud and Vertex AI.
Topics
Cloud AI, Vertex AI, Generative AI, MLOps
DataCamp
DataCamp AI courses · Beginner to intermediate
Useful for analysts and business users who want structured, browser-based AI practice.
Topics
AI foundations, Data skills, Prompting, ML foundations
Milvus
Milvus tutorials · Intermediate
Good for learning vector database concepts and scaling retrieval systems.
Topics
Vector databases, RAG, Embeddings, Search
Neo4j
Neo4j GraphRAG learning · Intermediate
Useful when plain vector retrieval does not capture relationships in your data.
Topics
GraphRAG, Knowledge graphs, RAG, Retrieval
OpenRouter
OpenRouter docs · Beginner to intermediate
Useful for learning model comparison, latest-family aliases, routing, fallback behavior, agent construction, project-specific evals, and API-compatible experimentation across proprietary and open model families.
Topics
Model routing, Model comparison, Auto Router, Agent SDK, Coding-agent harnesses, GPT models, Claude models, Gemini, Llama, Mistral, DeepSeek, Qwen, API examples, Evaluation
Agent tools and skill directories
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.
Learning paths
AI foundations
Everyone
Learn first
- What LLMs can and cannot do
- Tokens, context windows, hallucinations
- Privacy and data handling
Open next
Production AI engineering
Engineering teams
Learn first
- Observability
- Cost and latency
- Deployment
- Data pipelines
Good matches
Open next
Resources
How to Cost Your AI-Powered Filters
Technical article · FS Data Lab · 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.
ai-sql, inference cost, filter ordering, roofline model, gpu
Ragas
RAG and AI-application evaluation library · Vibrant Labs · Intermediate to advanced
Evaluating retrieval quality, grounded generation, agent tool use, and production-aligned test data for RAG applications.
evals, llm evaluation, ai quality, open-source frameworks
Arize Phoenix
AI observability and evaluation platform · Arize AI · Intermediate to advanced
Teams that want evaluation connected to OpenTelemetry traces, datasets, experiments, prompt iterations, and production troubleshooting.
evals, llm evaluation, ai quality, evaluation platforms
Braintrust
AI evaluation and observability platform · Braintrust Data · Intermediate to advanced
Teams that want a feedback loop from production traces and failures into datasets, regression experiments, CI gates, and continuous scoring.
evals, llm evaluation, ai quality, evaluation platforms
LangSmith
Agent evaluation and observability platform · LangChain · Intermediate to advanced
Agent teams, especially LangChain and LangGraph users, that need tracing, datasets, experiments, human review, and production feedback in one system.
evals, llm evaluation, ai quality, evaluation platforms
Langfuse
Open-source evals and observability platform · ClickHouse · Intermediate to advanced
Teams prioritizing open-source data control and one workflow across tracing, prompts, datasets, experiments, annotation, and evaluation.
evals, llm evaluation, ai quality, evaluation platforms
W&B Weave
LLM and agent evaluation platform · Weights & Biases · Intermediate to advanced
Teams already using Weights & Biases or wanting versioned datasets, scorers, traces, and evaluation comparisons in an experiment-oriented workflow.
evals, llm evaluation, ai quality, evaluation platforms
OpenAI Evals
Hosted LLM and agent evaluation API · OpenAI · Intermediate to advanced
Existing OpenAI API teams maintaining dataset-based prompt or model regression tests during the remaining service window.
evals, llm evaluation, ai quality, cloud and provider evals
Anthropic evaluation guide
Evaluation methodology guide · Anthropic · Intermediate to advanced
Teams designing task-specific evaluation suites for Claude applications that need criteria, datasets, edge cases, grading patterns, and code examples.
evals, llm evaluation, ai quality, cloud and provider evals
Introduction to Security in the World of AI
Course · Google Cloud · Beginner
Use this one-hour course when security and data-protection leaders need a framework for identifying AI-specific risks, protecting sensitive data, and applying Google's Secure AI Framework.
ai security, secure ai framework, data protection, compliance, risk management
Google Data Analytics Certificate
Professional certificate · Google · Beginner
Use this foundational certificate program to build job-ready data analytics skills and learn how AI can support analysis, visualization, and workflow productivity.
data analytics, sql, python, tableau, data visualization
ChatGPT Finances privacy and accuracy guide
Connected-finance safety guide · OpenAI · Beginner
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, privacy
NVIDIA Kumo Tabular explained
Tabular foundation model explainer · NVIDIA · Intermediate to advanced
NVIDIA released Kumo Tabular on September 29, 2026. Use this guide to understand its in-context prediction workflow, reproduce a baseline, and test its vendor-reported results on your own tables.
kumo tabular, tabular foundation models, classification, regression, in-context learning
OpenAI Data agent in ChatGPT Work
Data agent product guide · OpenAI · Intermediate
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, agent workflows
Enterprise Frontier Safeguards
Agent security architecture guide · Anthropic · Advanced
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
anthropic, ai safety, enterprise, privacy, agent security
Agentic models, measured on the injections that move money
Open security benchmark · Hugging Face Community · Intermediate to advanced
You want a reproducible September 5, 2026 benchmark for comparing how agentic models handle indirect prompt injection, with public data, a public harness, control runs, tool-call traces, and outcome metrics tied to unauthorized payment actions.
agents, prompt injection, agent security, evals, tool use
Automation's Early Footprint
Open research and dataset · Cohere · Intermediate
You want an evidence-based map of what public agent tools actually automate, built from Cohere's September 3, 2026 open Agentic Task Ecosystem dataset of roughly 696,000 tools across 123,000 MCP servers.
cohere, agents, mcp, automation, open dataset
Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
Training guide · Hugging Face · Advanced
You need an end-to-end August 26, 2026 recipe for adapting a late-interaction retriever to your own domain, from datasets and losses through training, evaluation, and index optimization.
hugging face, sentence transformers, rag, retrieval, fine-tuning
How to Choose the Best AI Model (Live, in Your Editor)
Model selection guide · OpenRouter · Intermediate
You want a practical six-step workflow for shortlisting models from live data, testing them on your own prompts, measuring cost per completed task, and choosing or routing from inside a coding assistant.
openrouter, model selection, evals, benchmarks, cost
OpenAI Batch API guide
Guide · OpenAI · Intermediate
You want the official OpenAI pattern for queueing large asynchronous jobs such as eval runs, backfills, classification batches, or dataset generation.
openai, batch api, async workflows, cost optimization, offline processing
OpenAI eval design guide
Guide · OpenAI · Intermediate
You need practical guidance for designing representative eval datasets, choosing graders, and turning model testing into an engineering loop instead of ad hoc spot checks, especially while OpenAI's older Evals platform is winding down toward read-only status on October 31, 2026.
openai, evals, quality, datasets, regression testing
OpenAI evals quickstart and datasets
Guide · OpenAI · Intermediate
You want OpenAI's current quickstart for turning examples into dataset-backed evals and improvement loops instead of relying on a deprecated docs path.
openai, datasets, evals, fine-tuning, quality
Anthropic MCP guide
Guide · Anthropic · Intermediate
You want Anthropic's official guidance for exposing tools and data to Claude through MCP instead of only reading the base spec.
anthropic, mcp, agents, tool use, connectors
Building managed agents
Guide · Google AI for Developers · Intermediate to advanced
You want to extend Gemini's managed-agent harness with your own instructions, skills, and data instead of using the default Antigravity setup unchanged.
gemini, managed agents, custom agents, skills, stateful workflows
OpenRouter benchmarks API
API reference · OpenRouter · Intermediate
You want machine-readable benchmark data for coding, intelligence, or agentic tasks before choosing or routing across model families.
openrouter, benchmarks, model selection, coding, agentic tasks
OpenRouter rankings data API
Data API · OpenRouter · Intermediate
You want current usage and rankings data that reflects what developers are actually using, not only benchmark scores or launch-day marketing.
openrouter, rankings, usage data, benchmarks, model selection
Cohere Embed Jobs API
API docs · Cohere · Intermediate
You need Cohere's bulk embedding workflow for larger corpora instead of issuing one embedding request per document at ingestion time.
cohere, embed jobs, embeddings, batch processing, retrieval
OpenRouter models API
API reference · OpenRouter · Intermediate
You want a machine-readable way to inspect current models, filters, and metadata across providers.
openrouter, model catalog, api reference, model routing, model selection
OpenRouter Ori Eval
Evaluation guide · OpenRouter · Intermediate to advanced
You want to turn real project prompts and data into repeatable cross-provider agent evals that check answers, tool calls, completion, latency, and cost, then rerun them in CI when models change.
openrouter, evals, model selection, coding agents, ci
OpenRouter Zero Data Retention
Guide · OpenRouter · Intermediate
You need a primary-source explanation of how OpenRouter filters to ZDR-capable providers before teaching teams to route sensitive prompts across many endpoints.
openrouter, zero data retention, privacy, provider routing, governance
Hugging Face model hub
Model catalog · Hugging Face · Beginner to advanced
You need to discover, compare, and run open model checkpoints, datasets, and demos.
hugging face, model hub, open models, llama, qwen
Hugging Face MCP Server
Integration guide · Hugging Face · Intermediate
You want the official Hugging Face MCP setup guide for connecting Codex, Claude Desktop, Cursor, VS Code, or other MCP clients directly to Hub tools and search.
hugging face, mcp, hub, tools, coding agents
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LlamaIndex Docs
Docs and examples · LlamaIndex · Intermediate
You need to connect LLMs to documents, data, and retrieval.
rag, agents, documents
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Kaggle Intro to Machine Learning
Micro-course · Kaggle · Beginner
You need small exercises for ML basics.
ml foundations, python, data
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Weaviate Academy
Free academy · Weaviate · Beginner to intermediate
You want structured vector database and retrieval lessons.
vector search, rag, hybrid search
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DataTalks.Club ML Zoomcamp
Free cohort course · DataTalks.Club · Beginner to intermediate
You want a structured free path into ML engineering.
ml engineering, data, deployment