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Mammoth Club All levels 8 sections 26 lectures

Microsoft Certified: Azure Data Scientist Associate with 10 Practice Exams

Data is only as powerful as the insights you can extract from it. This course equips you with the skills to design and implement machine learning solutions using Azure Machine Learning, enabling you to transform raw data into actionable intelligence for real-world business impact.

01
Skill level
All levels
02
Sections
8
03
Lectures
26
04
Instructor
Alex Kropf
What's inside

This course includes.

8
Sections
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

8 sections · 26 lectures
+ Welcome 1 lecture Preview
What is the Microsoft Certified: Azure Data Scientist Associate? Locked
+ Configure Azure Machine Learning workspace 5 lectures
Dive into Azure Machine Learning workspace resources Locked
Interact with workspace using developer tools Locked
Make data available in Azure Machine Learning Locked
Use compute targets in Azure Machine Learning Locked
Use environments in Azure Machine Learning Locked
+ Experiment with Azure Machine Learning 2 lectures
Find best classifier with Automated Machine Learning Locked
Train model in Jupyter with MLflow Locked
+ Optimize model training with Azure Machine Learning 4 lectures
Run training command job in Azure Machine Learning Locked
Track training with MLflow jobs Locked
Tune hyperparameters with Azure Machine Learning Locked
Run pipelines in Azure Machine Learning Locked
+ Manage models in Azure Machine Learning 2 lectures
Register MLflow model in Azure Machine Learning Locked
Build Responsible AI dashboard for model in Azure Machine Learning Locked
+ Deploy models with Azure Machine Learning 2 lectures
Deploy model to managed online endpoint Locked
Deploy model to batch endpoint Locked
+ Build generative AI apps in Azure 8 lectures
Plan for building AI apps on Azure Locked
Choose and deploy models from catalog in Azure AI Foundry portal Locked
Build app with Azure AI Foundry SDK Locked
Build language model apps with prompt flow in Azure AI Foundry Locked
Build RAG app with custom data in Azure AI Foundry Locked
Language model finetuning with Azure AI Foundry Locked
Build responsible generative AI in Azure AI Foundry Locked
Evaluate generative AI in Azure AI Foundry portal Locked
+ Challenge Your 10 FREE Practice Exams 2 lectures
Let's Build it! Bonus Video Content Locked
Where to Find Your Exams Locked
Description

About this course.

Through practical labs and guided projects, you’ll learn to build, train, and deploy scalable machine learning models on Azure, integrating them into workflows that deliver measurable results.


✅ Develop and manage Azure Machine Learning workspaces for streamlined experimentation

✅ Build and train advanced machine learning models using industry-standard tools and frameworks

✅ Optimize model performance and accuracy through automated machine learning and hyperparameter tuning

✅ Deploy and monitor predictive solutions that integrate seamlessly into cloud-based systems


Ideal for professionals pursuing the Microsoft Certified: Azure Data Scientist Associate (DP-100) credential or anyone looking to specialize in applied machine learning, this program bridges the gap between theoretical knowledge and production-ready AI solutions.


🎁 Includes 10 full-length practice exams. Reinforce your expertise and prepare with confidence.


Turn data into decisions by mastering the tools, workflows, and techniques that define the role of a modern Azure data scientist.

Instructors

Taught by people who ship.

Alex Kropf

Alex Kropf

Mammoth Club's CLO, public speaker, consultant, IT author and Senior Software Developer. Alex has produced best-selling courses, books and workshops for Mammoth Club, Course Pro and our clients since 2016.

Ready to start building?

Data is only as powerful as the insights you can extract from it. This course equips you with the skills to design and implement machine learning solutions using Azure Machine Learning, enabling you to transform raw data into actionable intelligence for real-world business impact.

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