Program profile · official sources
Microsoft AI & ML Engineering Professional Certificate
Microsoft's AI & ML Engineering Professional Certificate is an intermediate five-course series on Coursera: Foundations of AI and Machine Learning; AI and Machine Learning Algorithms and Techniques; Building Intelligent Troubleshooting Agents; Microsoft Azure for AI and Machine Learning; and Advanced AI and Machine Learning Techniques and Capstone. It covers AI and ML infrastructure, supervised, unsupervised, reinforcement and deep learning, AI agents, Azure ML workflows, responsible AI and a capstone project. Intermediate Python is required, and an Azure license or free trial is needed. Coursera lists 6 months at 7 hours a week. As shown in the United States on 12 October 2026, no programme price is shown; the page marks it as included with Coursera Plus.
Facts checked 12 Oct 2026
- Price
- See pricing
Price details observed 2026-10-12. No accepted price. As shown in the United States on 12 October 2026, the Coursera programme page shows no programme amount: it shows "Enroll for free", "Included with" Coursera Plus, "Financial aid available" and a subscription trial. The Coursera Plus page, captured the same day, shows Coursera Plus at $59/month (7-day free trial, cancel anytime) or $399/year with a 14-day money-back guarantee; these are subscription prices, not a fixed completion total. A time-limited promotion was displayed on 12 October 2026; no promotional terms are recorded.
- Provider link
See price and enroll at Microsoft (official site) ↗
Official site. No commission.
- Time
- 6 months at 7 hours a week (provider headline); the five courses are listed at 36, 45, 43, 21 and 31 hours, and the FAQ says each course will take approximately 35-40 hours. Provider estimates, not an elapsed completion promise.
- Level
- Intermediate level
- Credential
- Professional Certificate
Shareable certificate. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Prerequisites
- Intermediate programming knowledge of Python is required. The programme FAQ "What background knowledge is necessary?" also lists awareness of common business processes and workflows in a corporate context (monitoring, reporting, ticketing, troubleshooting/debugging, quality testing, escalation) and of common corporate approaches to technology infrastructure and operations (governance, policy and protocol, version control, cloud architecture, CI/CD, DevSecOps practices, agile practices and tools). Microsoft also lists basic knowledge of AI and ML capabilities and of generative AI and pretrained large language models; familiarity with statistics is recommended. You need a license to Microsoft Azure (or a free trial version) and appropriate hardware; the page notes the free Azure trial is time limited and may expire before completion of the program.
- Format
- Online Professional Certificate on Coursera, 5 course series, flexible schedule, learn at your own pace; Microsoft recommends taking the courses in the order listed; ends with a capstone project
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Foundations of AI and Machine Learning
- AI and Machine Learning Algorithms and Techniques
- Building Intelligent Troubleshooting Agents
- Microsoft Azure for AI and Machine Learning
- Advanced AI and Machine Learning Techniques and Capstone
Prerequisites: Intermediate programming knowledge of Python is required. The programme FAQ "What background knowledge is necessary?" also lists awareness of common business processes and workflows in a corporate context (monitoring, reporting, ticketing, troubleshooting/debugging, quality testing, escalation) and of common corporate approaches to technology infrastructure and operations (governance, policy and protocol, version control, cloud architecture, CI/CD, DevSecOps practices, agile practices and tools). Microsoft also lists basic knowledge of AI and ML capabilities and of generative AI and pretrained large language models; familiarity with statistics is recommended. You need a license to Microsoft Azure (or a free trial version) and appropriate hardware; the page notes the free Azure trial is time limited and may expire before completion of the program.
What you actually do
- Foundations of AI and Machine Learning : 36 hours; Course 1 · Source
- AI and Machine Learning Algorithms and Techniques : 45 hours; Course 2 · Source
- Building Intelligent Troubleshooting Agents : 43 hours; Course 3 · Source
- Microsoft Azure for AI and Machine Learning : 21 hours; Course 4 · Source
- Advanced AI and Machine Learning Techniques and Capstone : 31 hours; Course 5 · Source
What the credential is
- Credential type
- Professional Certificate · www.coursera.org / microsoft-ai-and-ml-engineering
- Credential
- Microsoft AI & ML Engineering Professional Certificate · www.coursera.org / microsoft-ai-and-ml-engineering
- Issuer
- Microsoft · www.coursera.org / microsoft-ai-and-ml-engineering
- Sharing
- Shareable certificate. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / microsoft-ai-and-ml-engineering
- Exam requirement
- The captured page describes five courses ending with a capstone project; it describes no exam and states no passing score. · www.coursera.org / microsoft-ai-and-ml-engineering
- Credential scope
- The page says: "This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution." It also says learning may be recognized for credit if you are admitted and enroll in one of the eligible online degree programs it links. · www.coursera.org / microsoft-ai-and-ml-engineering
Alternatives in the registry
Related by topic or level.
- Generative AI with Large Language Models : Check official price; 2 weeks at 10 hours a week.
- TensorFlow: Advanced Techniques Specialization : Check official price; 2 months to complete at 10 hours a week. FAQ notes 3-4 weeks to complete each course at 5 hours a week..
- DeepLearning.AI TensorFlow Developer Professional Certificate : USD 49 (The US course FAQ states $49/month for access to all four courses until the subscription ends. It separately describes a one-time $49 single-course payment with access for 180 days or until completion. These are different payment scopes, not a total completion cost.); Overview: 2 months at 10 hours a week. These are provider estimates; no combined completion promise is inferred..
Change log
See price and enroll at Microsoft (official site) ↗
Official site. No commission.