Deploying ML Models with FastAPI and Docker
Free Intermediate course · 10 lessons · 3 weeks · Certificate on completion
Turn a notebook model into a reliable, versioned prediction API. Across 10 lessons you'll move from fundamentals to a portfolio-ready outcome — at your own pace, with quizzes after each lesson and a final exam to certify your mastery.
What you'll learn
- From notebook to package
- Serialising models safely
- Designing a prediction API
- FastAPI validation with Pydantic
- Containerising with Docker
- Batch vs real-time inference
Skills you'll pick up
- From notebook to package
- Serialising models safely
- Designing a prediction API
- FastAPI validation with Pydant
- Containerising with Docker
- Batch vs real-time inference
Tools covered
- ML Model Deployment
- Real-world projects
- Quizzes
- Final exam
Course modules
Module 1: From notebook to package
Module 1 of Deploying ML Models with FastAPI and Docker. 3 lessons · 3h
Module 2: FastAPI validation with Pydantic
Module 2 of Deploying ML Models with FastAPI and Docker. 3 lessons · 3h
Module 3: Model versioning
Module 3 of Deploying ML Models with FastAPI and Docker. 2 lessons · 2h
Module 4: Logging inputs and outputs
Module 4 of Deploying ML Models with FastAPI and Docker. 2 lessons · 2h
Lessons in this course
- From notebook to package
- Serialising models safely
- Designing a prediction API
- FastAPI validation with Pydantic
- Containerising with Docker
- Batch vs real-time inference
- Model versioning
- Load testing predictions
- Logging inputs and outputs
- Rolling out a new model
Instructor
Marcus Reid — Machine Learning Engineer
Marcus Reid is a Machine Learning Engineer with years of hands-on experience teaching ML Model Deployment to thousands of learners worldwide.
Certificate
Finish every lesson and pass the final exam to earn a free, verifiable Learnera certificate for Deploying ML Models with FastAPI and Docker. It can be downloaded as a PDF and shared on LinkedIn.
Career outcomes
Median global salary $135,000 per year · median India salary ₹18,90,000 per year · 49,965 open roles worldwide
- ML Model Deployment Specialist
- Senior ML Model Deployment Lead
- ML Model Deployment Consultant
Frequently asked questions
Is the Deploying ML Models with FastAPI and Docker course free?
Yes. Every Learnera course, including Deploying ML Models with FastAPI and Docker, is completely free — lessons, quizzes, the final exam, and the certificate.
How long does Deploying ML Models with FastAPI and Docker take?
10 lessons, typically completed in 3 weeks at a comfortable pace.
Do I get a certificate?
Yes — pass the final exam and you receive a free, verifiable certificate you can share on LinkedIn.