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Full Stack Deep Learning lecture
Full Stack Deep Learning · mlops, deployment, product ml, production
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.
20 matches for "deployment"
Video matches
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
Educators
Phil Schmid
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
Providers and platforms
FS
Full Stack Deep Learning
Full Stack Deep Learning · Intermediate to advanced
Practical coverage of the whole ML product lifecycle.
Topics
MLOps, Deployment, Product ML
MW
Made With ML
Made With ML · Intermediate
Useful path for production ML fundamentals that transfer to AI engineering.
Topics
MLOps, Testing, Deployment, ML systems
ND
NVIDIA Deep Learning Institute
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
M
Modal
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
ML
Meta Llama
Llama docs · Beginner to advanced
Official path into current Llama families, Llama API model capabilities, 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
Learning paths
Production AI engineering
Engineering teams
Learn first
- Observability
- Cost and latency
- Deployment
- Data pipelines
Good matches
Open next
Resources
Llama API models
Model docs · Meta Llama · Beginner to advanced
You need the current official Llama model catalog, capability summaries, and API access route before choosing hosted or local deployment.
llama, meta, llama api, open models, open weights
Qwen API platform
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
Llama Cookbook
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
Qwen quickstart
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
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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
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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
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Full Stack Deep Learning Lectures
Course videos · Full Stack Deep Learning · Intermediate to advanced
You want the whole lifecycle of ML and AI product development.
mlops, deployment, product ml
Hugging Face LLM tutorials
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