Yiga AI

Course 3 of 12

Project: Fraud Detection System End-to-End

Data, Model, Deployment, and more.

Yiga AI

Advanced en

Advanced · Course · 4 weeks at 5 hrs/week

Duration
4 weeks
Effort
5 hrs/week
Lessons
24
Hands-on exercises
24
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

Machine Learning Foundations

Deep Learning with PyTorch

Computer Vision

NLP with Transformers

Syllabus

Every module, step by step.

4 modules · 29 lessons · 19 hours · 1 graded project

1160 minutes of guided lesson time.

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

Module 1 · 7 lessons · 4.3 hoursDataModule 1 of 4 in Project: Fraud Detection System End-to-End.

  1. Overview and set-up

    Overview and set-up — Data in Project: Fraud Detection System End-to-End.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Data in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Data in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Data in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Data in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Data in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  7. Module quiz: Data

    Check what you learned in Data before moving on.

    Quiz · Locked

    20 min
Module 2 · 7 lessons · 4.3 hours LockedModelModule 2 of 4 in Project: Fraud Detection System End-to-End.

  1. Overview and set-up

    Overview and set-up — Model in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Model in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Model in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Model in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Model in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Model in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  7. Module quiz: Model

    Check what you learned in Model before moving on.

    Quiz · Locked

    20 min
Module 3 · 7 lessons · 4.3 hours LockedDeploymentModule 3 of 4 in Project: Fraud Detection System End-to-End.

  1. Overview and set-up

    Overview and set-up — Deployment in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Deployment in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Deployment in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Deployment in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Deployment in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Deployment in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  7. Module quiz: Deployment

    Check what you learned in Deployment before moving on.

    Quiz · Locked

    20 min
Module 4 · 8 lessons · 6.3 hours LockedMonitoringModule 4 of 4 in Project: Fraud Detection System End-to-End.

  1. Overview and set-up

    Overview and set-up — Monitoring in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Monitoring in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Monitoring in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Monitoring in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Monitoring in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  6. Applying it at work

    Applying it at work — Monitoring in Project: Fraud Detection System End-to-End.

    Lesson · Locked

    40 min

  7. Module quiz: Monitoring

    Check what you learned in Monitoring before moving on.

    Quiz · Locked

    20 min

  8. Graded project: Project: Fraud Detection System End-to-End

    Apply everything from Project: Fraud Detection System End-to-End in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Project: Fraud Detection System End-to-End 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
Grace A., AI for professions

Your instructor

Grace A.

AI for professions

Shows working professionals how to use AI responsibly inside everyday workflows.

Samuel Mwangi, Yiga learner

“The examples felt relevant to public service and worked on the connection I actually have.”

Samuel Mwangi

Public service officer, Nairobi

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Your next best step.

Following the order of Machine Learning Engineer.

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Next lesson

Overview and set-up

Project: Fraud Detection System End-to-End

40 min · Resume

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Course 6 in the track

Data Pipelines for ML

Feature stores, Airflow, Data validation, and more.

Intermediate · Course · 3 weeks at 5 hrs/week

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