MLOps

Learn MLOps in a practical order—from the fundamentals to work you can confidently share.

In short— Hakuna kurukaruka tutorials. Follow the route, practice each stage, then ship kitu real.

Free roadmap

What you'll learn

Click any stage kufungua full details.

01Stage 01Understand the roleWhat Is Mlops • Data Engineering Fundamentals • Machine Learning Fundamentals

See what the job involves and the skills employers expect.

Focus on

  • What Is Mlops
  • Data Engineering Fundamentals
  • Machine Learning Fundamentals
Build check: Write a one-page MLOps glossary in your own words.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

02Stage 02Core building blocksProgramming Fundamentals • Mlops Components • Data Ingestion Architecture

Connect the important concepts so you can explain what the tools are doing—not just copy commands.

Focus on

  • Programming Fundamentals
  • Mlops Components
  • Data Ingestion Architecture
Build check: Complete three focused MLOps exercises without following a full tutorial.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

03Stage 03Everyday workflowData Lakes Warehouses • Data Lineage • Data Pipelines

Practice the techniques you will use repeatedly in real projects and team environments.

Focus on

  • Data Lakes Warehouses
  • Data Lineage
  • Data Pipelines
Build check: Recreate a small MLOps example, then change one major requirement.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

04Stage 04Build something usefulOrchestration Deployment • Airflow • Ansible

Turn the knowledge into a small project with a clear user, purpose and finish line.

Focus on

  • Orchestration Deployment
  • Airflow
  • Ansible
Build check: Build a useful mini-project with MLOps.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

05Stage 05Quality and productionAWS Azure Gcp • Bash • Cicd

Add testing, security, performance and maintainability before calling the work complete.

Focus on

  • AWS Azure Gcp
  • Bash
  • Cicd
Build check: Review, test and improve the project like it is going to real users.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

06Stage 06Ship proofCloud Computing • Cloud Native Ml Services • Cml

Publish a polished project, document your decisions and make the learning visible.

Focus on

  • Cloud Computing
  • Cloud Native Ml Services
  • Cml
Build check: Publish the project with a clear README and a short build story.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

Now build kitu real.

Pick a project that solves an actual problem, ship it, then explain your choices. Hapo ndio skill inakuwa proof.

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