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Beginner courses

Beginner-friendly doesn't mean watered-down. These courses assume comfort with any programming language and go straight into the patterns most AI and backend work actually uses: typed Python, async fundamentals, LLM API basics, FastAPI services, and how to read production code.

Curated by Param Harrison

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By the end of a beginner track you'll have shipped a small real system (a RAG-powered Q&A, a FastAPI service with tests, or a working AI agent) rather than watched more tutorials.

Showing 16 of 16 courses

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Python for GenAI Engineering

Every AI tutorial assumes you know Python. This one doesn't.

BeginnerFree
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LLM

RAG Fundamentals for Everyone

Master the core building blocks of RAG, from embeddings to agentic retrieval.

BeginnerFree
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AItoolsloop

Learn AI Agents from Scratch

Build AI agents with pure Python. No LangChain. No CrewAI. No magic.

BeginnerFree
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Ultimate PostgreSQL Bootcamp: Go from Beginner to Expert

From SELECT to production PostgreSQL mastery on 100k+ real e-commerce orders.

BeginnerPro
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clientMCPserver

MCP Fundamentals for Engineers

Build MCP servers and clients from scratch. No more glue code.

BeginnerFree
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Frontend Masterclass for Software Engineers

Make the modern frontend stack finally make sense. From raw DOM to a Fullstack app you actually understand.

BeginnerPro
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Streaming LLM Applications with FastAPI

Stream LLM responses in real-time and master prompt engineering fundamentals.

BeginnerFree
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Handling file uploads with FastAPI

Accept audio, PDF, and image uploads safely with FastAPI and clean up when the LLM call fails.

BeginnerPro
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API documentation with OpenAPI

Turn your FastAPI service into a self-documenting API with Swagger UI, ReDoc, and a machine-readable spec.

BeginnerPro
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Introduction to FastAPI

Build a production-shaped FastAPI service with typed endpoints, Pydantic models, and a lifespan that loads a model once.

BeginnerFree
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Deploying twelve-factor apps with FastAPI

Refactor a FastAPI service to the twelve-factor methodology and deploy it anywhere.

BeginnerFree
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Containerizing Python APIs with Docker

Turn your FastAPI service into a production-shaped image with uv, a slim runtime, and a healthchecked compose stack.

BeginnerPro
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Data Validation with Pydantic

Turn messy JSON into typed, validated objects with Pydantic v2.

BeginnerPro
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Sentiment classification with LLMs and few-shot prompting

Build a multi-task NLP service powered by focused LLM prompts and per-task streaming.

BeginnerPro
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Production health checks with FastAPI

Wire /healthz and /readyz, a lifespan that pre-warms models, and a SIGTERM handler that drains requests so your service survives a deploy.

BeginnerPro
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bronzesilvergold

Data engineering foundations with the medallion pattern

Bronze, silver, gold warehouse patterns with DuckDB and pandas, rehearsed on a real dataset before you touch Airflow or Spark.

BeginnerFree
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Common questions

Beginner: quick answers

  • Who counts as a beginner here?

    Any software engineer who hasn’t shipped AI or a production backend before. You should already be comfortable reading code and using the terminal. You don’t need an ML background or prior FastAPI experience.

  • How long does a beginner track take?

    Most engineers finish a single beginner course over a weekend. A full track (Python for GenAI + RAG Fundamentals, for example) fits comfortably alongside a day job at a couple of hours per evening.

  • Should I start with AI or backend?

    If you already work on backend services, start with Python for GenAI + RAG Fundamentals. If backend is new to you, start with FastAPI Fundamentals and loop into AI after.

  • Do I need to pay to start?

    No. Most beginner courses are free. Paid courses are labeled clearly; Pro subscribers unlock every paid course.

Related paths

AI EngineerBackend EngineerPythonFastAPIRAG
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