Harvard University · edX
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Microsoft via Microsoft Learn Learning path or series
Implement a data science and machine learning solution for AI in Microsoft Fabric
Overview
Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric. (DP-604T00)
Courses in this learning path or series 6
- Introduction to end-to-end analytics using Microsoft Fabric 25 minutes
- Get started with data science in Microsoft Fabric 50 minutes
- Explore data for data science with notebooks in Microsoft Fabric 1.5 hours
- Preprocess data with Data Wrangler in Microsoft Fabric 1 hour
- Train and track machine learning models with MLflow in Microsoft Fabric 55 minutes
- Generate batch predictions using a deployed model in Microsoft Fabric 50 minutes
Skills you'll practise
Advantages and disadvantages
Advantages
- Free, official and kept up to date by Microsoft.
- Free sandbox environments for many Azure exercises, no credit card needed.
- Counts toward Microsoft certification exams (AZ-900, AI-900, PL-300…).
- From Microsoft, a well-regarded name.
- Free digital badge you can add to LinkedIn.
- Completely free.
- Self-paced: start any time.
- A clear syllabus (6 parts) you can see before you start.
Disadvantages
- Mostly reading, not video.
- Focused on Microsoft products.
Some points apply to every course of this kind; see how we rank.
Free, with a free credential
- Free: Sign in with any Microsoft account.
- Badge: Finish it to earn a free badge on your Microsoft Learn profile.
Microsoft is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
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