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Code with Claude London 2026: Opening Keynote
Claude · 2026 featured video
Use this for Anthropic's current Claude Code direction, agent workflow framing, and developer tooling roadmap.
AI video library
Watch curated AI tutorials and talks across coding agents, MCP, context engineering, model selection, RAG, evals, product work, and production AI systems.
70 indexed videos with dedicated watch pages and searchable topic links.
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Claude · 2026 featured video
Use this for Anthropic's current Claude Code direction, agent workflow framing, and developer tooling roadmap.
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Peter Yang · 2026 featured video
Use this for current product-team examples of agent-ready APIs, Claude Code context systems, MCP choices, and OpenAI vs Anthropic adoption.
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Teacher's Tech · 2026 featured video
Use this when the homepage needs a current beginner-friendly Claude Code agent build instead of an older 2025 tutorial.
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Zen van Riel · 2026 featured video
Use this for a current developer workflow around coding agents, review loops, repo context, and agentic engineering habits.
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Peter Yang · Educator video
Peter Yang: claude code, coding, ai workflows
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Peter Yang · Educator video
Peter Yang: claude code, coding, ai workflows
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Peter Yang · Educator video
Peter Yang: claude code, prototyping, ai workflows
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Hugging Face · Educator video
Hugging Face: agents, tools, open models
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Swyx · Educator video
Swyx: agents, ai engineering, developer tools
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Swyx · Educator video
Swyx: agents, ai engineering, developer tools
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Swyx · Educator video
Swyx: ai engineering, developer tools, agents
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Simon Willison · Educator video
Simon Willison: ai engineering, llm tools, agents
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Swyx · Educator video
Swyx: ai engineering, agents, llm apps
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Fireship · 2026 featured video
Use this as a fast technical recap of Google I/O 2026 and the Gemini-era product/model changes worth tracking.
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Simon Willison · Educator video
Simon Willison: llm tools, local models, ai engineering
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LangChain · Similar video
LangChain: agents, langgraph, llm orchestration, rag
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LlamaIndex · Similar video
LlamaIndex: rag, documents, agents, context augmentation
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Swyx · Educator video
Swyx: ai engineering, career, developer tools
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DeepLearning.AI · Educator video
DeepLearning.AI: agents, agentic ai, ai engineering
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Arize AI · Similar video
Arize AI: evals, observability, tracing, rag debugging
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Simon Willison · Educator video
Simon Willison: ai engineering, llm tools, developer tools
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Hamel Husain and Shreya Shankar · Cohort course
You are shipping AI features and need a serious evaluation workflow.
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Metics Media · 2026 featured video
Use this for a current no-code agent build aimed at operators who need a fast first workflow.
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Anthropic · Similar video
Anthropic: claude, prompting, ai literacy, workflows
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Peter Yang · Educator video
Peter Yang: claude, skills, ai workflows
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Weights & Biases · Similar video
Weights & Biases: evals, llm apps, observability, mlops
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Simon Willison · Educator video
Simon Willison: python, coding, llm tools
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Simon Willison · Educator video
Simon Willison: coding, llm tools, developer tools
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Peter Yang · Educator video
Peter Yang: design, prototyping, creative work
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Promptfoo · Similar video
Promptfoo: evals, prompt testing, red teaming, security
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Peter Yang · Educator video
Peter Yang: product, ai product, strategy, ai adoption
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Pinecone · Similar video
Pinecone: vector databases, rag, embeddings, search
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Weaviate · Similar video
Weaviate: vector search, rag, embeddings, hybrid search
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Chip Huyen · Similar video
Chip Huyen: ai engineering, production, systems, mlops
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Made With ML · Free course
You need production ML habits that transfer to AI systems.
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Kaggle · Micro-course
You need small exercises for ML basics.
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Daniel Bourke · Similar video
Daniel Bourke: pytorch, deep learning, computer vision, model training
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DeepLearning.AI · Educator video
DeepLearning.AI: prompting, ai literacy, workflows
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Silicon Valley Girl · 2026 featured video
Watch this first when you want current AI operator examples for moving from prompts to repeatable team workflows.
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Andrej Karpathy · Educator video
Andrej Karpathy: llm internals, training, coding
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Craig Hewitt · YouTube channel
You want practical AI implementation videos from a founder using AI inside a real SaaS business.
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Builder Methods · Educator video
Builder Methods: founder workflows, systems, automation
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fast.ai · Educator video
fast.ai: deep learning, pytorch, model internals
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Full Stack Deep Learning · Similar video
Full Stack Deep Learning: mlops, deployment, product ml, production
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Lenny's Podcast · Educator video
Lenny's Podcast: product, startups, ai adoption
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Ethan Mollick · Educator video
Ethan Mollick: ai literacy, co-intelligence, workflows
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Lenny's Podcast · Educator video
Lenny's Podcast: product, ai adoption, strategy
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Lenny's Podcast · Educator video
Lenny's Podcast: ai adoption, startups, product
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Google for Developers · Similar video
Google for Developers: ml foundations, classification, neural networks, foundations
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Andrej Karpathy · Educator video
Andrej Karpathy: llm internals, tokenizers, coding
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Ethan Mollick · Similar video
Ethan Mollick: ai literacy, workplace adoption, strategy, education
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Ethan Mollick · Educator video
Ethan Mollick: ai strategy, workplace adoption, leadership
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StatQuest · Similar video
StatQuest: neural networks, statistics, foundations, ml foundations
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DataTalks.Club · Similar video
DataTalks.Club: ml engineering, data engineering, ml foundations, deployment
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MLOps Community · Similar video
MLOps Community: mlops, production ml, ai systems, deployment
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Ethan Mollick · Educator video
Ethan Mollick: education, ai literacy, teaching
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Lenny's Podcast · Educator video
Lenny's Podcast: growth, ai search, marketing
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Lenny's Podcast · Educator video
Lenny's Podcast: product, ai adoption, strategy
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Initial Commit · Educator video
Initial Commit: founder workflows, product ops, automation
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fast.ai · Educator video
fast.ai: deep learning, pytorch, training
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Langfuse · Docs and cookbooks
You need production LLM tracing, scoring, and prompt operations.
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Ethan Mollick · Educator video
Ethan Mollick: ai strategy, leadership, workplace adoption
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DeepLearning.AI · Educator video
DeepLearning.AI: ai literacy, strategy, foundations
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Nathan Labenz · Podcast
You want long-form interviews with AI builders and researchers.
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Ethan Mollick · Educator video
Ethan Mollick: prompting, workflows, ai literacy
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Andrej Karpathy · Educator video
Andrej Karpathy: model internals, neural networks, coding
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Ethan Mollick · Educator video
Ethan Mollick: ai literacy, workplace adoption, education
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Andrej Karpathy · Educator video
Andrej Karpathy: llm internals, foundations, model internals
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Andrej Karpathy · Educator video
Andrej Karpathy: llm internals, coding, neural networks
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DeepLearning.AI · Educator video
DeepLearning.AI: prompting, developers, api