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Learn Fastapi online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
CodeSignal
This course path guides you through building secure FastAPI (Python) applications by addressing OWASP Top 10 risks. Learn authentication, data integrity, MFA, secure configuration, SSRF prevention, and robust monitoring practices.
CodeSignal
This learning path introduces new graduates to web application security through OWASP Top 10 vulnerabilities (1-5). Using Python, learners practice identifying and fixing common security issues in a simple FastAPI-based web app to build strong, practical skills.
CodeSignal
Build an interactive next-word prediction game using Python, FastAPI, web technologies, and a large language model. Create daily prompts, score guesses by semantic similarity, and track players on a leaderboard.
CodeSignal
Implement secure OAuth 2.0 and API key authentication in Python and FastAPI. Build real-world login flows, defend against common vulnerabilities, and integrate robust authentication for modern applications.
CodeSignal
Build a movie recommendation backend with Codex by cleaning and preparing real-world datasets, designing a robust database and API, and implementing a test-driven recommendation system that delivers reliable, data-driven results.
CodeSignal
Learn to transform text into stunning images using Google's Imagen AI. Build a web app with FastAPI to generate custom artwork from prompts, manage outputs, and provide a user-friendly interface.
CodeSignal
Build an AI-powered cooking assistant with FastAPI, SQLAlchemy, Pydantic, and OpenAI. Create recipe APIs, generate and extract recipe data, add audio and reviews, and export recipes to CSV.
CodeSignal
Learn to deploy ML models in production! In this path, you'll learn how to build reusable pipeline functions, create FastAPI web services, and automate retraining with Apache Airflow. Get ready to transform your ML code from individual scripts to scalable, production-ready systems.
CodeSignal
Master the art of building an intelligent code translation system from scratch. In this course path, you'll develop a robust LLM-powered code translator using Haystack, expose it via a FastAPI backend, and craft an interactive Gradio UI—gaining hands-on skills in modern agentic AI engineering.
CodeSignal
Build a personal AI tutor in Python using DeepSeek, then turn it into an interactive web application and scalable API service. Learn to manage tutoring sessions, design prompts, and deliver real-time academic support.
CodeSignal
Learn to create compelling AI-generated content using Anthropic's Claude API and FastAPI. Start with basic prompt crafting, build a full-featured story generation backend, then develop a polished web app interface with HTML, CSS, and JavaScript.
Board Infinity
"Docker and Model Serving: Deploy ML APIs with FastAPI and ONNX is designed for ML engineers, MLOps practitioners, and backend developers who want to take models from notebooks to production. You'll learn to build Docker containers for ML workloads, design scalable REST APIs with FastAPI, serialize…
Board Infinity
This Deep Learning and Neural Networks in Production course equips you with the skills to design, train, and deploy neural networks using PyTorch, TensorFlow, FastAPI, and Docker. Whether you're building models from scratch or serving them in production, this course bridges the gap between deep lea…
Board Infinity
"Take your AI agent skills into production with this hands-on course on building, validating, and deploying LLM-powered agents using LangGraph, LangChain, Pydantic-AI, Mem0, CrewAI, Agno, and FastAPI. You’ll learn to turn prototypes into reliable, enterprise-grade agent systems. Module 1 covers int…
Board Infinity
This fully hands-on course teaches learners to take machine learning models from Jupyter notebooks to production-grade deployed services using the modern MLOps stack. Using a single progressively built project — deploying a Real-Time Fraud Detection System for a fintech company — learners will mast…
Board Infinity
"DevOps Foundations for ML is designed for aspiring MLOps engineers, data scientists, and developers who want to bring DevOps discipline into machine learning workflows. You'll learn to automate, test, containerize, and deploy ML models using Git, GitHub Actions, Docker, and FastAPI — building prod…
Board Infinity
This course teaches software developers how to implement, deploy, and maintain machine learning systems using Python, scikit-learn, FastAPI, and Docker. You'll learn to build ML pipelines, preprocess data, evaluate models, and serve them as production-ready REST APIs. Module 1 covers core ML algori…
Board Infinity
Deploy Machine Learning in Production Software
Packt
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you'll master the art of building robust an…
Packt
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this intermediate-level course, you will learn advanced concepts of ba…
