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Full Stack Deep Learning lecture
Full Stack Deep Learning · mlops, deployment, product ml, production
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
23 matches for "deployment"
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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Full Stack Deep Learning · mlops, deployment, product ml, production
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MLOps Community · mlops, production ml, ai systems, deployment
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DataTalks.Club · ml engineering, data engineering, ml foundations, deployment
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Made With ML · mlops, testing, deployment
Hugging Face LLM tutorials · Intermediate to advanced
Hands-on guides for fine-tuning, serving, and using open-source models with Hugging Face tooling.
Skills
Open models, Fine-tuning, Deployment, Transformers
Full Stack Deep Learning · Intermediate to advanced
Practical coverage of the whole ML product lifecycle.
Topics
MLOps, Deployment, Product ML
Made With ML · Intermediate
Useful path for production ML fundamentals that transfer to AI engineering.
Topics
MLOps, Testing, Deployment, ML systems
NVIDIA DLI · Beginner to advanced
Useful for practical GPU, deep learning, and enterprise AI training with hands-on labs.
Topics
Deep learning, GPU computing, Generative AI, Deployment
Modal examples · Intermediate
Useful for learning how to run AI workloads, inference jobs, and GPU tasks in production-like environments.
Topics
Deployment, GPU workloads, AI engineering, Batch jobs
Llama model cards and prompt formats · Beginner to advanced
Official path into current Llama families, prompt formats, open-weight deployment, model access, hosting, and integration decisions.
Topics
Llama, Open models, Llama API, Local models, Fine-tuning, Model deployment, Safety models
Official Qwen material for learning the Qwen3 family, multilingual and multimodal capabilities, local deployment paths, and function-calling behavior.
Topics
Qwen, Open models, Multilingual AI, Coding agents, Multimodal AI, Model selection
Engineering teams
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Model docs · Meta Llama · Beginner to advanced
You need the current official Llama 4 prompt formats and model-card details before choosing Maverick or Scout for hosted or local deployment.
llama, meta, llama 4, prompt formats, open models
Docs overview · Meta Llama · Intermediate
You want Meta's official starting point for access, hosting, integrations, and next-step guides before wiring a Llama stack into tooling or eval configs.
llama, meta, docs overview, model selection, deployment
API docs · Qwen · Beginner to advanced
You need official Qwen model-family context, deployment docs, and quickstarts before choosing a hosted or local workflow.
qwen, open models, multilingual, coding models, agent models
GitHub repo · Meta Llama · Beginner to advanced
You want Meta's practical recipes for inference, fine-tuning, RAG, and end-to-end Llama applications.
llama, open models, rag, fine-tuning, deployment
Model docs · Meta Llama · Beginner to advanced
You need Meta's current model-card and prompt-format index before choosing which Llama family, size, or integration path to test.
llama, meta, open models, model cards, prompt formats
Quickstart · Qwen · Beginner to intermediate
You want the fastest official route into running Qwen3 with Hugging Face, vLLM, or SGLang.
qwen, quickstart, open models, deployment, coding
Cookbook · Hugging Face · Intermediate
You want copyable open-source AI recipes for agents, RAG, fine-tuning, deployment, and model experimentation instead of only conceptual course material.
hugging face, cookbook, open models, agents, rag
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Free course · Made With ML · Intermediate
You need production ML habits that transfer to AI systems.
mlops, testing, deployment
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Free cohort course · DataTalks.Club · Beginner to intermediate
You want a structured free path into ML engineering.
ml engineering, data, deployment
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Course videos · Full Stack Deep Learning · Intermediate to advanced
You want the whole lifecycle of ML and AI product development.
mlops, deployment, product ml
Tutorials · Phil Schmid · Intermediate to advanced
Use this when you want Phil Schmid's material for open models and related AI skills.
Open models, Fine-tuning, Deployment, Transformers