
A foundation in 112 lessons
From LLM foundations to agents, RAG and production, with Python, FastAPI and MCP. Follow a path or return to the topic you need.
OWN PRODUCT / AI EDUCATION
Read. Ask.
Build it yourself.
From understanding a concept to running real code. Build your knowledge of LLMs and AI agents, one lesson at a time.
Explore the curriculum
01 / THE LEARNING EXPERIENCE
Reading, questions, practice and review, connected in one place.

From LLM foundations to agents, RAG and production, with Python, FastAPI and MCP. Follow a path or return to the topic you need.

A Claude-powered tutor answers in the context of your lesson. Select a passage to ask a question about that exact part.

Follow official documentation and references alongside each concept. Build understanding you can check for yourself.

Work through five application and scenario questions per lesson. Review your choices and find the gaps in your understanding.

Bookmark a passage and continue learning with text-to-speech. Quick Actions put frequently used features within easy reach.

Study on iPhone, iPad and Apple Silicon Mac. An Android version is also available through Google Play.
02 / THE CURRICULUM
Eight connected areas, from LLM foundations to backend systems and multimodal AI.
Transformer · Prompt Engineering · Tool Use · Structured Outputs · Context Windows · Caching
ReAct · Reflexion · Planning · Memory · MCP · Tool Composition
Chunking · Embeddings · Vector DB · pgvector · Qdrant · Pinecone · Chroma
Eval · Guardrails · Observability · Cost · Prompt Injection · Multi-agent · Sandbox
LangChain · LangGraph · AutoGen · CrewAI · LlamaIndex · MCP Server · Computer Use
Fine-tuning vs RAG · Distillation · Quantization · Eval Datasets · Agent Security · Multi-tenant
Python · async · Pydantic · FastAPI · HTTP/REST · SQL/ORM
Vision · STT/TTS · Realtime · Image Generation · Multimodal Agents
03 / LEARN BY RUNNING IT
MuseStudio opens lesson code blocks so you can edit, run and inspect the output. Put what you learn into practice on Mac or Windows.
def fibonacci(n):
a, b = 0, 1
for _ in range(n):
yield a
a, b = b, a + b
print(list(fibonacci(10)))[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]Turn an idea into something you can run.
04 / SIMPLE PRICING
Unlock the course with one app purchase. Add tutor messages when needed, with no subscription or automatic renewal.
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MAKE KNOWLEDGE YOUR OWN.