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MLflow: Beginner to Advanced
Go from fundamentals to job-ready MLflow skills
By Aditya Rao
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Basic
English
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What you'll learn
- Understand the core concepts of MLflow and how they fit together
- Build hands-on projects using MLflow that you can add to your portfolio
- Apply MLflow to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common MLflow mistakes
- Gain the confidence to use MLflow at work and in interviews
Skills you'll gain
MLflow
Practical Projects
Debugging
Best Practices
Problem Solving
MLOps
About this course
MLflow is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in MLOps, you'll build real understanding rather than memorising steps. Created by Aditya Rao, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply MLflow to your own work and on job-relevant, Hyrespot-matched roles.
Curriculum
Getting Started
- Welcome and what you'll build video · 06:00 ▶ Free preview
- MLflow in 10 minutes video · 07:00 ▶ Free preview
- Your first MLflow walkthrough video · 08:00
Core Concepts
- Your first MLflow walkthrough video · 13:00
- Hands-on exercise video · 14:00
- Building the project — part 2 video · 15:00
- Best practices from industry video · 16:00
Hands-On Practice
- Debugging and troubleshooting video · 08:00
- Performance and optimisation video · 09:00
- Testing your work video · 10:00
- Welcome and what you'll build video · 11:00
- MLflow in 10 minutes video · 12:00
Building Real Projects
- Welcome and what you'll build video · 15:00
- MLflow in 10 minutes video · 16:00
- Your first MLflow walkthrough video · 17:00