Agentic Learning Studio's lesson builder and interactive lessons — the side-by-side builder, mental maps and knowledge checks — are designed for desktop. For the full experience, open this on a laptop or desktop.
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Agentic Learning StudioDescribe what you want to learn — from LLMs, RAG, and foundation models to agents, fine-tuning, and beyond — and Agentic Learning Studio turns it into an interactive course built for you: mental-map first, with business and code examples, grounded in your own content or repo, and reinforced with knowledge checks. No videos.
Ten tracks across the whole landscape — pick one, or type your own question into the Lesson Builder.
Real, generated lessons — each an interactive mental map with runnable code and knowledge checks.
Agents
RAG
Evaluation
Frameworks
Safety
RAG
Foundations
SafetyReal screenshots from a generated lesson — each module becomes a spatial map of cards you scan at a glance, then click to go deep.
Say what you want to learn in your own words. Optionally add your level, your industry, what you're building, and a repo or docs to ground it.
In seconds you get a free overview — the building blocks and how they connect — so you see exactly what the lesson will cover before spending anything.
Generate the complete, interactive lesson — personalized depth, business + code examples, diagrams, and knowledge checks. Read it, download it, keep it.
No two learners get the same lesson. Tell us your level, your role, the industry you work in, and what you're building — and the lesson adapts: the depth, the analogies, the examples, even which edge cases it dwells on.
A beginner gets scaffolding and plain-words analogies. An advanced engineer gets failure modes and trade-offs — not a re-explanation of the basics. It's a personalized agentic-AI tutor, not a one-size-fits-all course.
A list of numbers that captures the meaning of text, so a computer can tell “refund” and “money back” are close.
No fixed curriculum, no waiting for a cohort. Type any agentic-AI question — the agent loop, RAG, LangGraph, MCP, evaluation, multi-agent systems — and get a complete, structured lesson in under a minute.
The mental-map overview is always free, so you can see what a lesson will cover before you commit. It's on-demand learning that fits the way you actually work: in the flow, when the question comes up.
decide next step
call a tool
read result
Every idea is shown two ways: a plain real-world business scenario so you grasp why it matters, and a correct, framework-specific code example so you can ship it.
Toggle Concept, Functional, and Code to see as much or as little as you want — and pick your stack: LangGraph, the Agent SDK, or framework-agnostic pseudocode. Non-coders stay in business examples; engineers go straight to the code.
# LangGraph — a tool-calling node graph.add_node("retrieve", retrieve) graph.add_conditional_edges("plan", route, {"search":"retrieve", "answer": END})
Every lesson opens as a mental map — the moving parts and how they connect — so you build the right model in your head before drowning in prose. Click any block to go exactly as deep as you want.
It's the opposite of a 40-minute video you can't skim: you always know where you are, what builds on what, and what's left. The map is the table of contents, the diagram, and the progress tracker, all in one.
the problem
vectors
context
Paste a public GitHub URL or drop your own documents, and the lesson is structured around them — your modules, your file names, your build goal — with every claim tied to a cited source.
It's the one thing a generic chatbot can't do well: teach you in the context of what you're actually building. The lesson plan becomes your build plan.
agent.pyAdd a retrieve() node before your existing respond() step, using the vectorstore you already configured in db.py.
Predict-then-reveal prompts, spaced recall of earlier ideas, and graded knowledge checks turn passive reading into real retention. You don't just nod along — you answer, you're corrected, and it sticks.
Worked examples ramp into completion problems and then a solo capstone tied to your goal, so you finish able to build the thing — not just recognize it.
top-k trade off?Good AI courses are expensive, generic, and out of date the month they ship. Most learners don't need a 40-hour video bootcamp — they need a clear, accurate answer to their question, at their level, with examples from their world. The knowledge is already out there for free; what's missing is something that curates and shapes it into a lesson made for you. So we built a studio that does exactly that.
Every lesson is shaped to your level, context, and goal — not a one-size-fits-all curriculum.
We curate and structure freely available information so learning doesn't have to be paywalled.
Lessons are AI-generated and may contain errors; we build in verification and self-checks — and say so plainly.
Structured reading, concept maps, and recall beat hours of video you forget.
Practitioners publish their own lessons to the Community — credited to them — so you can learn from people who've actually built it, alongside the AI-generated catalog. Contributor tools live in Build for Community.
Generate a lesson on any of these — and anything in between. Don't see what you want? Just type it into the Lesson Builder.
Agentic AI refers to AI systems that don't just generate a response — they pursue a goal by planning, using tools, calling APIs, and acting over multiple steps, then observing the result and adapting. Picture an agent that can search, run code, query a database, and decide what to do next, rather than a model that only answers a single prompt. Agentic Learning Studio teaches these patterns — the agent loop, tool use, planning, RAG, and evaluation — as interactive, personalized lessons.
Generative AI produces content — text, images, or code — in a single pass from a prompt. Agentic AI wraps that generative ability in a loop of planning, tool use, and feedback so the system can take actions and complete multi-step tasks on its own. In short: generative AI answers, agentic AI acts. Agentic Learning Studio's lessons show exactly how to go from one to the other.
A self-contained, personalized lesson on a topic in agentic AI — the agent loop, RAG, LangGraph, MCP, evaluation, and more. It opens as a clickable mental map, mixes business and code examples, draws real diagrams, and reinforces the material with knowledge checks. It replaces passive video with active, skimmable reading.
The mental-map overview of any lesson is always free, so you can see exactly what it will cover. You only spend a credit when you build the full lesson.
Yes. Paste a public GitHub URL or upload documents and the lesson plan is built around your code, your file names, and your build goal — with cited sources.
No. Every concept has a plain-language business example. Code examples are optional — toggle them on when you want them, in your framework of choice.
It's personalized to your level and goal, grounded in cited sources and your repo, structured mental-map-first instead of a wall of text, interactive with knowledge checks, and saved as a lesson you can return to and download.
See the mental-map overview of any agentic-AI topic in seconds. Build the full, personalized lesson when you're ready.
Build a visual, interactive lesson on anything in agentic AI — a mental map first, then click any building block to go deeper. No videos.
Optional — pick a level and coverage, or leave them and I'll infer. Everything else is tuned automatically: examples are always included, and text depth follows your level.
Describe what you want your LLM to do — we'll generate an installable Skill
(SKILL.md + scripts) you can drop into Claude Code, Codex, Cursor and more.
Everything below is optional — the more you add, the sharper the skill.
Ready-made interactive lessons — open any one instantly, no sign-in needed.
Lessons shared by other learners — open any one instantly, no sign-in needed.
Learners who build & share courses here. Open a profile to see who they are and what they've published.
Build courses for the Community. A one-time profile — it's shown on your Community Drivers page and credits every course you publish.
Your uploaded content is the only source. Generate a free overview first, then build the full course — it lands in your My Lessons and publishes to Community Courses.
Sign in to register as a contributor and build courses for the Community.
Designing the overview is always free. You spend 1 credit per lesson and 0.5 per skill — only when it finishes building.
Your profile, plan, and learning usage.
Top up any signed-up user by email. Grants are logged in the credit ledger under your email.
Buy a plan to keep generating. Your overview is saved.