Michigan Engineering Professional Certificate in AI and Machine Learning
AI and ML professional certification
Taught in English
What you'll learn
Lead initiatives in organizational settings
Conduct thorough investigations to prevent recurrence
Develop a positive culture within organizations
Create effective strategies for diverse audiences
Specialization - 5 Course Series
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Beginner level
Get in-depth knowledge of a subject.
Flexible schedule
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Overview
This professional certificate program, offered by the University of Michigan’s College of Engineering, is designed to provide a comprehensive and rigorous education in the rapidly evolving fields of Artificial Intelligence (AI) and Machine Learning (ML). Participants will journey from the fundamental mathematical and statistical principles that underpin machine learning to the practical implementation of advanced deep learning models. The curriculum covers a wide spectrum of essential topics, including supervised and unsupervised learning, regression, classification, clustering, and the architecture of neural networks. Through hands-on projects and real-world case studies, you will learn to build, train, and deploy machine learning models using industry-standard tools and libraries such as Python, Scikit-learn, and TensorFlow. The program emphasizes not only the "how" but also the "why," ensuring you develop the critical thinking skills needed to select the right algorithms and architect effective AI solutions for complex problems. The primary objective of this certificate is to equip you with the practical skills and theoretical knowledge required to excel in a technical AI/ML role. Upon completion, you will be able to design and implement robust machine learning pipelines, from data collection and preprocessing to model evaluation and deployment. You will gain proficiency in constructing and training deep neural networks, including Convolutional Neural Networks (CNNs) for image analysis and Recurrent Neural Networks (RNNs) for sequential data. Furthermore, the course aims to instill a deep understanding of the ethical considerations and potential biases in AI, preparing you to develop responsible and fair intelligent systems. Graduates will be prepared to translate business challenges into machine learning problems and deliver data-driven solutions that create tangible value. This certificate is ideal for a diverse range of professionals who are seeking to gain a competitive edge by mastering AI and Machine Learning. It is perfectly suited for software engineers and developers looking to transition into a data science or machine learning engineering role, as well as data analysts and BI professionals who want to deepen their predictive modeling capabilities. Technical project managers, product managers, and IT leaders will also find immense value in the program, as it will empower them to lead AI projects and teams with confidence and technical fluency. A foundational understanding of programming (preferably Python) and familiarity with core concepts in probability, statistics, and linear algebra are recommended to ensure a successful learning experience. Whether you aim to accelerate your career, pivot to a high-demand field, or drive innovation within your organization, this certificate provides the expert-led training to achieve your goals.
Key Facts
* Earn a professional certificate from the University of Michigan, a globally-recognized, top-tier College of Engineering.
* Master in-demand skills with a curriculum covering machine learning, deep learning, natural language processing (NLP), and computer vision.
* Gain hands-on experience by building a portfolio of real-world AI projects to showcase your job-ready expertise to employers.
* The program is designed for working professionals, offering a flexible online format to learn from anywhere.
* Learn directly from world-class Michigan Engineering faculty who are leading researchers and practitioners in the field of AI.
* Acquire the credentials and practical knowledge needed to advance your career or pivot into a role as an AI/ML engineer or data scientist.
Entry Requirements
The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.
International applicants and their qualifications are accepted.
Step into a transformative journey, where you'll become part of a vibrant community of students from over 157 nationalities.
Unit details
Description
Introduction to the core concepts of AI, Machine Learning, and Deep Learning, and establishing a Python programming environment with essential libraries like NumPy, Pandas, and Matplotlib for data manipulation and analysis.
Description
A deep dive into supervised learning techniques, covering regression and classification algorithms, feature engineering, and model evaluation metrics to predict outcomes from labeled data.
Description
Exploring techniques for finding hidden patterns in unlabeled data, including clustering algorithms like K-Means and dimensionality reduction methods such as Principal Component Analysis (PCA).
Description
Building foundational knowledge of neural networks, including feedforward networks, backpropagation, and the use of modern deep learning frameworks like TensorFlow and PyTorch to solve complex problems.
Description
Applying deep learning models to understand and process human language, covering topics like text representation, recurrent neural networks (RNNs), and transformer architectures for tasks like sentiment analysis and text generation.
Description
Bridging the gap from model development to deployment, focusing on the principles of MLOps, including model serving, monitoring, and building robust, scalable AI pipelines for real-world applications.
Description
Examining the ethical implications of AI, including bias, fairness, and accountability, while applying all learned concepts to a comprehensive, industry-relevant capstone project.
Fee and Payment Plans
30 to 40% Cheaper than most Universities and Colleges
Duration & course fee
The programme is available in two duration modes:
6 Months : $2199.99
9 Months: $1760.0
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment
Payment plans
6 Months - $2199.99
- ● Payment option (a): $733.0 x 3 monthly instalments
- ● Payment option (b): $2090.0 x 1 instalment (We offer 5% bursary on total fee for students opting to pay in full)
9 Months - $1760.0
- ● Payment option (c): $352.0 x 5 monthly instalments
- ● Payment option (d): $880.0 x 2 quarterly instalments
- ● Payment option (e): $1672.0 x 1 instalment (We offer 5% bursary on total fee for students opting to pay in full)
What Our Students Say
Dr. Silva Maria
Healthcare Manager
"This course deepened my understanding of advanced concepts and strategic leadership, enabling me to provide better insights for decisions and strategic planning."
Kim Lee-Jun
Clinical Director
"As a clinical director, I now have the skills to implement international standards and ensure regulatory compliance across multinational operations."
Sarah Johnson
NHS Manager
"I gained the ability to evaluate complex scenarios and develop strategic budgets, allowing me to make more informed decisions for organizational growth."
Ahmed Al-Rashid
Healthcare Consultant
"This course empowered me to apply advanced quality management techniques and risk assessment frameworks, enhancing my ability to ensure quality and transparency."
Frequently Asked Questions
We recommend learners have a solid foundation in programming, specifically Python, and an understanding of core mathematical concepts including linear algebra, calculus, and probability theory.
The curriculum provides a deep dive into key AI/ML areas, including supervised and unsupervised learning, deep neural networks, natural language processing (NLP), computer vision, reinforcement learning, and the ethical implications of AI.
The program is designed to be flexible for working professionals. Most learners complete the certificate in 8 to 10 months, studying at a pace of 7-10 hours per week.
This program is ideal for software engineers, data analysts, IT professionals, and technical managers seeking to gain practical, in-demand skills to pivot or advance their careers in AI and machine learning.
Graduates gain a prestigious credential from a top engineering school, a portfolio of real-world projects, and the skills needed to qualify for roles like Machine Learning Engineer, AI Specialist, or Data Scientist.
Learners receive comprehensive support, including access to instructor office hours, a dedicated online community forum for peer collaboration, and responsive technical assistance.
Yes, upon successfully finishing all modules and projects, you will be awarded an official Michigan Engineering Professional Certificate in AI and Machine Learning to share with your professional network and on your resume.
Yes, we offer installment plans to help manage the tuition cost. We can also provide necessary documentation for company-sponsored tuition reimbursement programs.
Insights
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Related Questions answered
Common questions students ask about
- •What core competencies and practical skills will I develop upon completing the Michigan Engineering Professional Certificate in AI and Machine Learning, and how does the program prepare me to apply them in a professional setting?
- •What key concepts and practical skills can I expect to learn from the Michigan Engineering Professional Certificate in AI and Machine Learning, and how does it prepare me for a career in this field?
- •What key topics are covered in the Michigan Engineering Professional Certificate in AI and Machine Learning, and how does the curriculum structure prepare learners to apply these concepts in a professional setting?
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Duration & course fee
The programme is available in two duration modes:
What's Included:
- ✓ Comprehensive course materials
- ✓ Digital Certificate
- ✓ No Exams, Just Online Quizzes
- ✓ 24/7 automated self-service support
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