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

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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

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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

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Step 15Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

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Step 16Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

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Step 17Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 18Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 19Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 20Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 21Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 22Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 23Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 24Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 25Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 26Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 27Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 28Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 29Optional
Deep Learning Institute (DLI) Training and Certification | NVIDIA

Builds on the previous step with a complementary provider angle.

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Step 30Optional
Introduction to Machine Learning

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Step 31Optional
Machine Learning Crash Course

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Step 32Optional
Introduction to Machine Learning Problem Framing

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Step 33Optional
Decision Forests

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Step 34Optional
Recommendation Systems

Builds on the previous step with a complementary provider angle.

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Step 35Optional
Clustering

Builds on the previous step with a complementary provider angle.

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Step 36Optional
Generative Adversarial Networks

Builds on the previous step with a complementary provider angle.

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Step 37Optional
Rules of ML

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Step 38Optional
Good Data Analysis

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Step 39Optional
Deep Learning Tuning Playbook

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Step 40Optional
Data Traps

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Step 41Optional
Intermediate Machine Learning

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Step 42Optional
Intermediate ML: TensorFlow on Google Cloud

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Step 43Optional
Machine Learning Specialization

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Step 44Optional
Explore machine learning and data science in IBM watsonx

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Step 45Optional
Machine Learning for Data Science Projects

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Step 46Optional
Machine Learning Crash Course

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Step 47Optional
Machine Learning Online Courses | Coursera

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Step 48Optional
Machine Learning Crash Course

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Step 49Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 50Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 51Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 52Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 53Optional
Machine Learning Online Courses | Coursera

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Step 54Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 55Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 56Optional
Machine Learning Crash Course

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Step 57Optional
Machine Learning Online Courses | Coursera

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Step 58Optional
Machine Learning Crash Course

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Step 59Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 60Optional
Machine Learning Crash Course

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Step 61Optional
Machine Learning Online Courses | Coursera

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Step 62Optional
Machine Learning Crash Course

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Step 63Optional
Machine Learning Online Courses | Coursera

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Step 64Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 65Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 66Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 67Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 68Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 69Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 70Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 71Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 72Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 73Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 74Optional
Machine Learning Crash Course

Builds on the previous step with a complementary provider angle.

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Step 75Optional
Machine Learning Online Courses | Coursera

Builds on the previous step with a complementary provider angle.

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Step 76Optional
Machine Learning Operations (MLOps) for Generative AI

Builds on the previous step with a complementary provider angle.

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Step 77Optional
Production Machine Learning Systems

Builds on the previous step with a complementary provider angle.

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Step 78Optional
Machine Learning in Production

Builds on the previous step with a complementary provider angle.

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Step 79Optional
Optimize and fine-tune AI agents for production

Builds on the previous step with a complementary provider angle.

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Step 80Optional
Implement Generative AI engineering with Azure Databricks

Rounds out the path with broader depth or specialization.

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