Launch Alert: New "Effective MLOps: Model Development" Course, Now Available!
Step into the future of Machine Learning with our brand new course - "Effective MLOps: Model Development". Learn how to bring your ML models to life, optimize them for performance, and ensure they are ready for prime-time, all with this comprehensive program.
Created on July 5|Last edited on July 19
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Introduction
We are thrilled to announce one of our most requested courses: Effective MLOps: Model Development.🚀 The course is set up to give you real-world lessons in an interactive environment and, what's more, it's completely free.
ENROLL TODAY
What you'll learn
Instructors Hamel Husain, Thomas Capelle, and Darek Kłeczek, experts from the fast.ai and Weights & Biases ecosystems, have curated this course based on their rich experience in the field. You'll benefit from their firsthand experience as you navigate through 35 lessons and 3 hours of video content, exploring machine learning workflows, exploratory data analysis, hyperparameter optimization, and more!
The curriculum is structured to guide you from conceptual understanding to hands-on application. You'll build an end-to-end ML prototype, learn to optimize models with Sweeps, and better understand common model evaluation techniques. Assessments and assignments following each lesson ensure a comprehensive grasp of the content.
It's important to note: the course is not about theoretical learning. You'll use W&B's Tables and Reports for exploratory data analysis, Artifacts and Model Registry for versioning datasets and models, and Sweeps for automating hyperparameter optimization.
☝️ A table you will produce and analyze in Chapter 1!
As you step out of this course, you won't just be another professional with knowledge of MLOps. You'll be a certified practitioner, ready to lead and innovate in your organization or projects.
So, what are you waiting for? Step into the future of machine learning with our "Effective MLOps: Model Development" course.
ENROLL FOR FREE TODAY!
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