Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions
Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions is a beginner-level online course from Coursera in Natural Language Processing. It is structured in 5 modules with 6 stated learning outcomes, over 19h 28m. Learners rate it 3.4/5 from 26 ratings on Coursera.
Part of our Natural Language Processing courses collection, where we compare it against 1 other course.
Course highlights
| Provider | Coursera |
| Duration | 19h 28m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 3.4★ (26 reviews) |
| Price | Check price |
About this course
This Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions course, offered by Whizlabs through Coursera, teaches you to build and manage artificial intelligence solutions on the Microsoft Azure platform. It covers key areas like Computer Vision, Natural Language Processing (NLP), Knowledge Mining, and Generative AI. You will explore how to develop AI conversational assistants and create applications for image analysis and text understanding.
The course syllabus guides you through planning and managing Azure AI solutions, developing Computer Vision Models, and implementing Natural Language Processing solutions. You also learn Knowledge Mining with Document Intelligence Solutions and Generative AI with Content Moderation Solutions. This program focuses on practical skills such as Responsible AI, Model Deployment, and working with OpenAI within the Microsoft Azure environment.
After completing this 19-hour 28-minute course, you will be able to design and implement Computer Vision solutions and develop Natural Language Processing applications. You can also design and implement Knowledge Mining Solutions and explore the use of AI conversational assistants. The course is designed for beginners, though it assumes you are skilled in C Python language and can use REST-based APIs and SDKs to build AI solutions.
This course prepares learners for the AI-102 certification exam. It is important to note that the AI-102: Microsoft Azure AI Engineer Associate certification will retire on June 30, 2026. Learners should complete their certification journey and attempt the exam before this retirement date. You can enroll for free to access course materials.
For those looking for broader learning in text analysis, the Natural Language Processing courses hub on 10courses.com offers other options. An alternative is the Natural Language Processing course, also from Coursera. It is a beginner-level option with a 4.6 rating from 6203 reviews. This specific Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions course is ideal if your goal is to build AI solutions within the Azure ecosystem and work towards the associated certification.
What you’ll learn
Level and time commitment
- Skilled in C Python language and able to leverage REST-based APIs & SDK to build Computer Vision, NLP, Knowledge Mining & Conversational AI Solutions
Skills you’ll gain
What this course covers
5 modulesThe 5-part outline Coursera publishes for this course, across 19h 28m.
Module 1 · Azure AI solutions: Planning and Management
Module 2 · Computer Vision Models
Module 3 · Natural Language Processing (NLP) Solutions
Module 4 · Knowledge Mining with Document Intelligence Solutions
Module 5 · Generative AI with Content Moderation Solutions
What learners rate it
Rated 3.4/5 by 26 learners on Coursera (checked 10 Aug 2026).
This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →
Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 10 August 2026.
How we compare and rank courses · Our review policy · Affiliate disclosure
Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions This |
 Coursera
|
3.4★ | Check price | 19h 28m | Most popular — 0 learners |
| Natural Language Processing |
Coursera
|
4.6★ | Check price | 3 months | Highest rated (4.6★ from 6.2K reviews) |
Common questions
How much does Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions cost?
Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.
Does Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions come with a certificate?
Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions take?
Coursera lists it at 19h 28m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.
Is Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions suitable for beginners?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
What does Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions cover?
It is organised into 5 modules, starting with Azure AI solutions: Planning and Management and going on to Computer Vision Models, Natural Language Processing (NLP) Solutions, Knowledge Mining with Document Intelligence Solutions, Generative AI with Content Moderation Solutions. The full outline is on this page.