Search across educators, skills, and resources.

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• Observability
• Cost and latency
• Deployment
• Data pipelines

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Swyx Chip Huyen Eugene Yan Nicolas Cole

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• AI Engineering
• Building and Evaluating Advanced RAG Applications
• Ragas
• Arize Phoenix

AI Engineering

Book · Chip Huyen · Intermediate to advanced

You are moving from demos to production systems.

ai engineering, production, systems

Building and Evaluating Advanced RAG Applications

Short course · DeepLearning.AI · Intermediate

You already know basic RAG and need better retrieval, evaluation, and production-quality patterns.

rag, evals, retrieval, llm apps, ai engineering

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

How GitHub makes AI coding more cost efficient

Coding agent evaluation guide · GitHub · Intermediate to advanced

You want GitHub's September 2, 2026 evidence for measuring coding-agent efficiency across the whole task, including selective output compression, preserving useful context, benchmark regressions, and controlled production experiments.

github copilot, coding agents, context engineering, evals, cost optimization

How to Evaluate AI Agents

Evaluation guide · Hugging Face Community · Intermediate

You need a practical evaluation plan built around representative tasks, controlled environments, observable traces, outcome and constraint metrics, repeated trials, and production failures turned into regression tests.

hugging face, agents, evals, evaluation harnesses, trajectory metrics

Gemini 3.8 Flash

Model docs · Google AI for Developers · Intermediate

You need Google's official September 2, 2026 GA reference for its newest Flash model, including the stable model ID, 1M-token input window, thinking levels, multimodal inputs, tools, and production inference options.

gemini, gemini 3.8 flash, coding, autonomous agents, long context

Agent and Model Evaluations in Gemini Enterprise Agent Platform

Evaluation guide · Google AI for Developers · Intermediate to advanced

You want Google's practical July 31, 2026 guide to running the same agent and model evaluations during development and on production traffic, with metrics for quality, safety, grounding, tool use, and trajectories.

google, gemini, agents, evals, model selection

OpenAI production best practices

Guide · OpenAI · Intermediate

You are moving from experiments to production and need the official OpenAI guidance on latency, retries, rate limits, safety, monitoring, and operational rollout.

openai, production, reliability, latency, cost

OpenAI deprecations

Migration guide · OpenAI · Intermediate

You need OpenAI's current retirement schedule and recommended replacements before pinning model IDs in evals, coding agents, or user-facing features.

openai, deprecations, migrations, model selection, release notes

Codex Bootcamp

Official bootcamp · OpenAI · Intermediate to advanced

You want a current OpenAI learning series on agentic coding, shared team workflows, approvals, sandboxing, memory, subagents, and production automation.

openai, codex, coding agents, team workflows, automation

API Builder Bootcamp

Official bootcamp · OpenAI · Intermediate

You want OpenAI's current five-part builder curriculum covering API foundations, agents, realtime, RAG, and production optimization with one public syllabus.

openai, agents, realtime, rag, production

Claude model deprecations

Migration guide · Anthropic · Intermediate

You need Anthropic's official retirement and replacement schedule before pinning Claude model IDs in production, evals, or coding-agent defaults.

anthropic, claude, deprecations, migrations, model selection

DeepSeek list models

API reference · DeepSeek · Intermediate

You need the live model identifiers available from DeepSeek before wiring production or eval configs.

deepseek, model selection, api reference, reasoning models, coding models

OpenRouter provider routing

Guide · OpenRouter · Intermediate

You need to learn how OpenRouter routes across providers, handles fallbacks, and exposes preference controls before relying on it in production.

openrouter, provider routing, fallbacks, model selection, reliability

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Langfuse Docs

Docs and cookbooks · Langfuse · Intermediate

You need production LLM tracing, scoring, and prompt operations.

observability, tracing, prompt management

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Made With ML

Free course · Made With ML · Intermediate

You need production ML habits that transfer to AI systems.

mlops, testing, deployment

Hamza Farooq on Maven

Maven cohort course · Agentic AI for Product Managers · Beginner to intermediate

Use this when you want Agentic AI for Product Managers's material for agentic ai and related AI skills.

Agentic AI, AI product strategy, Evals, Production AI