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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
Meta Model API and Llama docs · Beginner to advanced
Official path into current Llama families, prompt formats, open-weight deployment, Meta's newer hosted Model API surface, and integration decisions for both local and managed workflows.
Topics
Llama, Open models, Meta Model API, Muse Spark, Muse Code, 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
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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