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MLflow Crash Course
Everything you need to use MLflow with confidence
By Tara Krishnan
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Basic
English
0 learners
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
Learn MLflow the practical way. This Data Science & AI course focuses on doing: you'll work through real examples in MLOps, understand the why behind each technique, and finish with projects for your portfolio. Tara Krishnan keeps things clear and example-led, so you build genuine, transferable skill. By the end you'll be ready to use MLflow confidently at work and in interviews.
Curriculum
Getting Started
- Welcome and what you'll build video · 12:00 ▶ Free preview
- MLflow in 10 minutes video · 13:00 ▶ Free preview
- Your first MLflow walkthrough video · 14:00
Core Concepts
- Your first MLflow walkthrough video · 07:00
- Hands-on exercise video · 08:00
- Building the project — part 2 video · 09:00
- Best practices from industry video · 10:00
Hands-On Practice
- Debugging and troubleshooting video · 14:00
- Performance and optimisation video · 15:00
- Testing your work video · 16:00
- Welcome and what you'll build video · 17:00
- MLflow in 10 minutes video · 06:00
Building Real Projects
- Welcome and what you'll build video · 09:00
- MLflow in 10 minutes video · 10:00
- Your first MLflow walkthrough video · 11:00