Yiga AI

Course 9 of 16

Deploying Models with FastAPI

REST APIs, Serialisation, Docker, and more.

Yiga AI

Intermediate en

Intermediate · Course · 3 weeks at 5 hrs/week

Duration
3 weeks
Effort
5 hrs/week
Lessons
16
Hands-on exercises
16
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

Python for Data Science Refresher

Statistical Thinking

Supervised Learning with scikit-learn

Unsupervised Learning

Syllabus

Every module, step by step.

4 modules · 21 lessons · 14 hours · 1 graded project

840 minutes of guided lesson time.

Sign in and enrol to unlock every lesson. The first lesson is open as a preview.

Module 1 · 5 lessons · 3 hoursREST APIsModule 1 of 4 in Deploying Models with FastAPI.

  1. Overview and set-up

    Overview and set-up — REST APIs in Deploying Models with FastAPI.

    Lesson

    40 min

  2. Core concepts

    Core concepts — REST APIs in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — REST APIs in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — REST APIs in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  5. Module quiz: REST APIs

    Check what you learned in REST APIs before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedSerialisationModule 2 of 4 in Deploying Models with FastAPI.

  1. Overview and set-up

    Overview and set-up — Serialisation in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Serialisation in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Serialisation in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Serialisation in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  5. Module quiz: Serialisation

    Check what you learned in Serialisation before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedDockerModule 3 of 4 in Deploying Models with FastAPI.

  1. Overview and set-up

    Overview and set-up — Docker in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Docker in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Docker in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Docker in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  5. Module quiz: Docker

    Check what you learned in Docker before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedCloud deployModule 4 of 4 in Deploying Models with FastAPI.

  1. Overview and set-up

    Overview and set-up — Cloud deploy in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Cloud deploy in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Cloud deploy in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Cloud deploy in Deploying Models with FastAPI.

    Lesson · Locked

    40 min

  5. Module quiz: Cloud deploy

    Check what you learned in Cloud deploy before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Deploying Models with FastAPI

    Apply everything from Deploying Models with FastAPI in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Deploying Models with FastAPI to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share
Daniel O., Data & analytics

Your instructor

Daniel O.

Data & analytics

Turns real African data problems into practical lessons learners can apply immediately.

Brian Okello, Yiga learner

“The course content made machine learning understandable, and the practice kept me moving.”

Brian Okello

Software developer, Kampala

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Your next best step.

Following the order of Data Scientist with Python.

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Overview and set-up

Deploying Models with FastAPI

40 min · Resume

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Design, Power, Analysis, and more.

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Course 12 in the track

Supervised Learning with scikit-learn

Regression, Classification, Train/test, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

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