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Learner Reviews & Feedback for Foundations of AI and Machine Learning by Microsoft

4.6
stars
119 ratings

About the Course

This course provides a comprehensive introduction to fundamental components of artificial intelligence and machine learning (AI & ML) infrastructure. You will explore the critical elements of AI & ML environments, including data pipelines, model development frameworks, and deployment platforms. The course emphasizes the importance of robust and scalable design in AI & ML infrastructure. By the end of this course, you will be able to: 1. Analyze, describe, and critically discuss the critical components of AI & ML infrastructure and their interrelationships. 2. Analyze, describe, and critically discuss efficient data pipelines for AI & ML workflows. 3. Analyze and evaluate model development frameworks for various AI & ML applications. 4. Prepare AI & ML models for deployment in production environments. To be successful in this course, you should have intermediate programming knowledge of Python, plus basic knowledge of AI and ML capabilities, and newer capabilities through generative AI (GenAI) and pretrained large language models (LLM). Familiarity with statistics is also recommended....

Top reviews

CT

Jan 10, 2025

Ideal resources for aspiring and current AI engineers include information on which tools and best practices to use, as well as resources for learning and staying up-to-date with industry news.

MP

Dec 23, 2024

We found one of the finest trainer/ instructor in this course.

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26 - 35 of 35 Reviews for Foundations of AI and Machine Learning

By Le T H ( F H

鈥�

Mar 26, 2025

Good

By do t v

鈥�

Mar 4, 2025

okay

By Motalib

鈥�

Dec 1, 2024

best

By Shreya B

鈥�

Jun 11, 2025

good

By SAMRITI

鈥�

Mar 3, 2025

nice

By UTKARSH D

鈥�

Feb 19, 2025

Good

By kongho s c

鈥�

Feb 18, 2025

good

By Mario A D P

鈥�

Mar 14, 2025

In general, it has good content. However, there are some sections where the information seems repetitive, and others where they would need to give more context.

By Aias M

鈥�

May 5, 2025

Decent introduction but a bit focused/biased on/to Azure.

By Umashankar S

鈥�

Jun 3, 2025

its all theory