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Learner Reviews & Feedback for Foundations of AI and Machine Learning by Microsoft
92 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.
BK
Mar 30, 2025
Curated course with latest industry content - Big up Microsoft
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26 - 27 of 27 Reviews for Foundations of AI and Machine Learning
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.