Yiga AI

Course 5 of 5

Demand Forecasting & Inventory

Data, Models, Stock optimisation, and more.

Yiga AI

Beginner en

Beginner · Course · 3 weeks at 5 hrs/week

Duration
3 weeks
Effort
5 hrs/week
Lessons
12
Hands-on exercises
12
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

AI in Logistics

Demand Forecasting & Inventory

Route Optimisation & Fleet Management

Customer Communication & Tracking

Syllabus

Every module, step by step.

3 modules · 16 lessons · 11 hours · 1 graded project

660 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 hoursDataModule 1 of 3 in Demand Forecasting & Inventory.

  1. Overview and set-up

    Overview and set-up — Data in Demand Forecasting & Inventory.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Data in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Data in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Data in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  5. Module quiz: Data

    Check what you learned in Data before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedModelsModule 2 of 3 in Demand Forecasting & Inventory.

  1. Overview and set-up

    Overview and set-up — Models in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Models in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Models in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Models in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  5. Module quiz: Models

    Check what you learned in Models before moving on.

    Quiz · Locked

    20 min
Module 3 · 6 lessons · 5 hours LockedStock optimisationModule 3 of 3 in Demand Forecasting & Inventory.

  1. Overview and set-up

    Overview and set-up — Stock optimisation in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Stock optimisation in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Stock optimisation in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Stock optimisation in Demand Forecasting & Inventory.

    Lesson · Locked

    40 min

  5. Module quiz: Stock optimisation

    Check what you learned in Stock optimisation before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Demand Forecasting & Inventory

    Apply everything from Demand Forecasting & Inventory in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Demand Forecasting & Inventory 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

Continue with

Your next best step.

Following the order of AI for Logistics & Supply Chain.

See the full chain

Next lesson

Overview and set-up

Demand Forecasting & Inventory

40 min · Resume

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