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6 courses matching “python”

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Abstract cover artwork for FastAPI in Production, a Python course Python
Python intermediate

FastAPI in Production

Dependency injection that stays testable, Pydantic models as your contract, SQLAlchemy 2.0 sessions scoped correctly, background tasks that do not block responses, structured logging, and graceful shutdown. Ends with a service that has readiness probes, migrations and a real test suite.

TN Tomas Nowak 4.9

$69.00

12 hours

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Abstract cover artwork for Building Production Agents with LangGraph, a Agentic AI course Agentic AI
Agentic AI intermediate

Building Production Agents with LangGraph

Design agents as explicit state machines instead of prompt spaghetti. You will build a typed graph with conditional edges, add checkpointing so runs are replayable, implement retry and refinement loops, and ship an agent that degrades gracefully when a model call fails. Ends with a production deployment that handles concurrency, idempotency and observability.

PR Priya Raghavan 4.9

$89.00

14 hours

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Abstract cover artwork for Rust for Python Engineers, a Python course Python
Python advanced

Rust for Python Engineers

Learn Rust from a Python mental model, then use it where Python hurts. Ownership and borrowing explained against garbage collection, error handling without exceptions, and shipping a PyO3 extension that speeds up a real hot path in your codebase.

TN Tomas Nowak 4.8

$99.00

16 hours

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Abstract cover artwork for Modern Python: Type Hints, Async and Packaging, a Python course Python
Python intermediate

Modern Python: Type Hints, Async and Packaging

The Python that ships in 2026: expressive type hints and generics, structural subtyping with protocols, asyncio concurrency patterns that avoid the common deadlocks, dependency management and reproducible builds, and a strict mypy configuration you can actually adopt on an existing codebase.

MA Marta Alves 4.8

$59.00

13 hours

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Abstract cover artwork for Machine Learning Foundations with scikit-learn, a Machine Learning course Machine Learning
Machine Learning beginner

Machine Learning Foundations with scikit-learn

The honest introduction: how to frame a problem, build a baseline, and know when your model is fooling you. Linear and tree-based models, proper cross-validation, leakage detection, class imbalance, and calibration. Every concept is implemented on real tabular data rather than a toy dataset.

SD Sofia Duarte 4.8

$49.00

18 hours

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