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Learner Reviews & Feedback for AI and Machine Learning Algorithms and Techniques by Microsoft

4.7
stars
50 ratings

About the Course

This course covers the core algorithms and techniques used in AI and ML, including approaches that use pre-trained large-language models (LLMs). You will explore supervised, unsupervised, and reinforcement learning paradigms, as well as deep learning approaches, including how these operate in pre-trained LLMs. The course emphasizes the practical application of these techniques and their strengths and limitations in solving different types of business problems. By the end of this course, you will be able to: 1. Implement, evaluate, and explain supervised, unsupervised, and reinforcement learning algorithms. 2. Apply feature selection and engineering techniques to improve model performance. 3. Describe deep learning models for complex AI tasks. 4. Assess the suitability of various AI & ML techniques for specific business problems. 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

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1 - 15 of 15 Reviews for AI and Machine Learning Algorithms and Techniques

By Faisal A

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Apr 5, 2025

I was very frustrated with the duplicate readings. I don't understand why they repeated the same code in separate sections when it was already covered earlier. Although the course is labeled as intermediate, in my opinion, it's more suitable for beginners. Overall, I expected more from this course and found it quite disappointing.

By Asma C

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Jan 18, 2025

i enjoyed this course ! the most important thing is that it is full of practice

By Brian M

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Jul 24, 2025

I didn't really learn anything. The practice exercises are basically just cutting and pasting code. There isn't much explanation of anything and no real tests or exercises. The final assignment requires you to perform and evaluate ML solutions without a specific problem or data. This is the second course in the the certificate and it is just as bad as the first one. Wasn't worth the ~$50 for me to spend on this.

By ayush c

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May 20, 2025

peer graded assessment taking forever

By Cesar G M

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Jan 10, 2025

Good enough to understand the notebooks in Azure and the techniques

By Kunal a

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Apr 1, 2025

It was very well tailored for all types of learners.

By Darin W

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Apr 22, 2025

I learned a lot from this course

By Ho脿ng V T

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Apr 6, 2025

Good course

By Swagat M

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Jun 10, 2025

Very good

By Rishi R

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Jul 1, 2025

nice

By VU T D T

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Apr 29, 2025

Good

By do v

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Mar 4, 2025

Ok

By Omar P J 脕

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Oct 1, 2025

It was very difficult to obtain a passing grade in the peer-reviewed activity, as I kept getting 'Proficient' level in each question I addressed the IA's suggestions.

By L锚 M T ( F B

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Apr 19, 2025

ok