AI educator
Hugging Face LLM tutorials
Hands-on guides for fine-tuning, serving, and using open-source models with Hugging Face tooling.
Start with: Pick one fine-tuning or inference guide and reproduce it end to end.
Open-source skills and tutorial
Intermediate to advanced
You want reusable, open-source agent skills for training, fine-tuning, evaluating, quantizing, and publishing models with Codex, Claude Code, Gemini CLI, or another skills-compatible coding agent.
Cookbook tutorial
Intermediate
You want a concrete Hugging Face recipe for building a tool-using agent with smolagents instead of starting from the broader course overview.
Free course
Beginner to intermediate
You want a hands-on agent course that uses open-source tools.
Free course
Beginner to intermediate
You need the Transformer, LLM, and inference basics behind many AI apps.
Free course
Intermediate
You want a current structured course on instruction tuning, fine-tuning, and evaluation around compact open models.
Tutorials
Intermediate to advanced
Use this when you want Phil Schmid's material for open models and related AI skills.
►
Educator video
Hugging Face · agents, tools, open models
Practical guide
Intermediate to advanced
You want a runnable guide to ColBERT-style late-interaction retrieval, including MaxSim scoring, retrieve-and-rerank, indexing, visual document retrieval, evaluation, and the storage-quality tradeoff versus dense embeddings.
Training guide
Advanced
You need an end-to-end August 26, 2026 recipe for adapting a late-interaction retriever to your own domain, from datasets and losses through training, evaluation, and index optimization.
Model catalog
Beginner to advanced
You need to discover, compare, and run open model checkpoints, datasets, and demos.
Platform docs
Intermediate
You want one official Hugging Face entry point for trying current open models across providers without learning a separate inference API for each host.
Cookbook
Intermediate
You want copyable open-source AI recipes for agents, RAG, fine-tuning, deployment, and model experimentation instead of only conceptual course material.
Hands-on guide
Beginner to intermediate
You want runnable examples for wiring typed AI pipeline steps into a visual graph, inspecting intermediate results, fanning work out in parallel, exposing REST endpoints, and deploying to Spaces.
Ecosystem report
Intermediate
You want a current August 14, 2026 ecosystem read on where open-model adoption is actually concentrating, especially around Qwen, small models, and agent-oriented usage.
Framework docs
Intermediate
You want a lightweight open-source agent framework with official docs, examples, and tool-use patterns that are easy to inspect end to end.
Developers fine-tuning and deploying models should start here when they need open models, fine-tuning, deployment, and transformers. The strongest fit is a learner who wants material in these formats: tutorials, code, guides.
Pick one fine-tuning or inference guide and reproduce it end to end. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
Hands-on guides for fine-tuning, serving, and using open-source models with Hugging Face tooling. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.
Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need open models, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
These are not by Phil Schmid. They are included only as optional adjacent material after this educator's own videos and resources.
►
Similar video from another educator
Hugging Face · agents, open models, tools, transformers
►
Similar video from another educator
Full Stack Deep Learning · mlops, deployment, product ml, production
►
Similar video from another educator
MLOps Community · mlops, production ml, ai systems, deployment
►
Similar video from another educator
DataTalks.Club · ml engineering, data engineering, ml foundations, deployment
| Resource | Kind | Level | Use when |
|---|---|---|---|
|
The Illustrated Transformer
Jay Alammar
|
Visual guide | Beginner to intermediate | Transformer architecture still feels fuzzy. |
|
Anthropic ant apply
Anthropic
|
Agent infrastructure guide | Intermediate to advanced | You want Anthropic's September 3, 2026 workflow for declaring agents, environments, skills, memory stores, and scheduled deployments in a repository, previewing changes, and applying them reproducibly in CI. |
|
OpenAI evals quickstart and datasets
OpenAI
|
Guide | Intermediate | You want OpenAI's current quickstart for turning examples into dataset-backed evals and improvement loops instead of relying on a deprecated docs path. |
|
OpenAI external models
OpenAI
|
Guide | Intermediate | You want to learn how OpenAI handles access to non-OpenAI model families before designing a mixed-provider or routed workflow. |
|
OpenAI model optimization
OpenAI
|
Guide | Intermediate | You need a practical optimization loop across prompt changes, evals, and fine-tuning rather than guessing which knob to turn next. |
|
Llama 4 prompt formats
Meta Llama
|
Model docs | 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 docs overview
Meta Llama
|
Docs overview | 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. |
|
Mistral models overview
Mistral AI
|
Model docs | Beginner to advanced | You need to compare current Mistral families such as Devstral, Magistral, Voxtral, OCR, and general-purpose models. |
|
Qwen API platform
Qwen
|
API docs | Beginner to advanced | You need official Qwen model-family context, deployment docs, and quickstarts before choosing a hosted or local workflow. |
|
Together AI model catalog
Together AI
|
Model catalog | Beginner to advanced | You need to browse hosted open and proprietary models by provider and capability. |
|
Together AI serverless models
Together AI
|
Model docs | Intermediate | You need to learn how serverless hosted model inference works before deploying an app. |
|
Llama Cookbook
Meta Llama
|
GitHub repo | Beginner to advanced | You want Meta's practical recipes for inference, fine-tuning, RAG, and end-to-end Llama applications. |