Path detail

Production AI and MLOps Study Guide

Deployment, operations, analytics engineering, and production ML workflows for real systems.

Step 1Required
Intro to Machine Learning

Starts with a solid on-ramp into the topic.

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Step 2Required
Intro to Deep Learning

Builds on the previous step with a complementary provider angle.

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Step 3Required
Machine Learning Explainability

Builds on the previous step with a complementary provider angle.

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Step 4Optional
Time Series

Builds on the previous step with a complementary provider angle.

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Step 5Optional
Feature Engineering

Builds on the previous step with a complementary provider angle.

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Step 6Optional
Introduction to AI and Machine Learning on Google Cloud

Builds on the previous step with a complementary provider angle.

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Step 7Optional
Deploy and Manage Generative AI Models

Builds on the previous step with a complementary provider angle.

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Step 8Optional
Practical Deep Learning for Coders

Builds on the previous step with a complementary provider angle.

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Step 9Optional
Practical Deep Learning for Coders (legacy site)

Builds on the previous step with a complementary provider angle.

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Step 10Optional
Introduction to machine learning concepts

Builds on the previous step with a complementary provider angle.

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Step 11Optional
Choose and deploy models from the model catalog in Microsoft Foundry portal

Builds on the previous step with a complementary provider angle.

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Step 12Optional
Select, deploy, and evaluate models from the catalog in Microsoft Foundry portal

Builds on the previous step with a complementary provider angle.

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Step 13Optional
Get started with machine learning in Azure

Builds on the previous step with a complementary provider angle.

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Step 14Optional
Create machine learning models

Builds on the previous step with a complementary provider angle.

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Step 15Optional
Introduction to Machine Learning

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Step 16Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 17Optional
Introduction to Machine Learning Problem Framing

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Step 18Optional
Decision Forests

Builds on the previous step with a complementary provider angle.

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Step 19Optional
Recommendation Systems

Builds on the previous step with a complementary provider angle.

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Step 20Optional
Clustering

Builds on the previous step with a complementary provider angle.

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Step 21Optional
Generative Adversarial Networks

Builds on the previous step with a complementary provider angle.

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Step 22Optional
Rules of ML

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Step 23Optional
Good Data Analysis

Builds on the previous step with a complementary provider angle.

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Step 24Optional
Deep Learning Tuning Playbook

Builds on the previous step with a complementary provider angle.

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Step 25Optional
Data Traps

Builds on the previous step with a complementary provider angle.

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Step 26Optional
Intermediate Machine Learning

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Step 27Optional
Intermediate ML: TensorFlow on Google Cloud

Builds on the previous step with a complementary provider angle.

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Step 28Optional
Machine Learning Specialization

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Step 29Optional
Explore machine learning and data science in IBM watsonx

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Step 30Optional
Machine Learning for Data Science Projects

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Step 31Optional
Machine Learning Crash Course

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Step 32Optional
Machine Learning Online Courses | Coursera

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Step 33Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 34Optional
Machine Learning Online Courses | Coursera

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Step 35Optional
Machine Learning Crash Course

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Step 36Optional
Machine Learning Online Courses | Coursera

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Step 37Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 38Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 39Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 40Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 41Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 42Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 43Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 44Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 45Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 46Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 47Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 48Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 49Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 50Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 51Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 52Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 53Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 54Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 55Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 56Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 57Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 58Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 59Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 60Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 61Optional
Machine Learning Operations (MLOps) for Generative AI

Builds on the previous step with a complementary provider angle.

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Step 62Optional
Production Machine Learning Systems

Builds on the previous step with a complementary provider angle.

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Step 63Optional
Machine Learning in Production

Builds on the previous step with a complementary provider angle.

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Step 64Optional
Optimize and fine-tune AI agents for production

Builds on the previous step with a complementary provider angle.

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Step 65Optional
Implement Generative AI engineering with Azure Databricks

Rounds out the path with broader depth or specialization.

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