Professional Certificate in Artificial Intelligence (AI) and Machine Learning
3.500,00 EUR
- 350 hours
Boost your career with this comprehensive AI and machine learning program, combining theory, hands-on projects, and practical exercises under the academic excellence of Michigan Engineering Professional Education. You’ll master AI and ML fundamentals and learn to apply leading tools and techniques to solve real-world business problems.
About the program
In collaboration with Michigan Engineering Professional Education, University of Michigan & IBM
- Receive a program completion certificate from Michigan Eng Pro-Ed
- Build high-demand capabilities such as AI automation, AI literacy, and more
- 6 Months length program (6-8 h/week weekend classes)
- Ask us for the next cohort and schedule details!
The program features live virtual classes, interactive projects, labs, and masterclasses for an engaging learning experience. The curriculum covers key areas including mathematics and statistics, Python programming, machine learning, deep learning, agentic and generative AI, prompt engineering, explainable AI, ChatGPT, natural language processing, and more.
Key Features
Course and material are in English
Intermediate - Advanced level
6 months program (5-6 hours/week weekend classes)
200+ hours of live online instruction delivered by industry experts
350+ hours recommended study time
1 year access to learning platform & class recordings
12+ hands-on projects, including three capstones spanning multiple industries.
15+ tools, including ChatGPT, Claude, Descript, Julius.ai, Zapier, and Python.
Attend masterclasses by industry thought leaders and IBM experts
Industry-recognized IBM course certificates
Program completion certificate issued by Michigan Engineering Professional Education.
Secure Michigan Eng Pro-Ed digital badge
Learning Outcomes
At the end of this program, you will be able to:
Efficient Python
Learn to write efficient Python code and leverage its powerful libraries for data analysis and AI projects
Data
Build skills in data wrangling, exploration, visualization, and hypothesis testing to support informed, data-driven decisions
Algorithms
Understand and apply a range of machine learning algorithms, including concepts like regularization, overfitting, and model tuning
Neural Networks
Gain expertise in designing and training neural networks, including convolutional and recurrent models, for complex data tasks
SciPy
Utilize the SciPy library and its modules—such as Integrate, Optimize, Stats, IO, and Weave—for scientific and technical computing
Chatbots
Develop the ability to build conversational chatbots and AI-driven customer service agents
Text-to-speech
Implement text-to-speech functionality and automated speech recognition technologies
ChatGPT
Explore ChatGPT and discover its practical applications across various industries
14+ Skills Covered
- Generative AI
- Agentic AI
- Prompt Engineering
- Conversational AI
- Large Language Models LLMs
- ML Model Training and Optimization
- ML Model Evaluation and Validation
- Ensemble Learning
- Deep Learning
- Natural Language Processing NLP
- Speech Recognition
- Statistics
- Machine Learning Algorithms
- Supervised and Unsupervised Learning
About University of Michigan
The University of Michigan is a leading public research university in the United States, globally recognised for academic excellence, innovation, and leadership in science and engineering. Michigan Engineering Professional Education, part of the university’s College of Engineering, delivers industry-focused programs led by expert U.S.-based faculty, helping professionals and leaders apply cutting-edge research and engineering practices to real-world business and technology challenges.
What added value does University of Michigan contribute to the program?
The program curriculum is reviewed and approved by Michigan Engineering Professional Education, Please be aware that the live classes are not held by actual University faculty staff but by many experienced Industry experts. While the instructors themselves are not employees of the University of Michigan. Beyond content approval, Michigan Engineering Professional Education also oversees instructor evaluation, quality assurance, learner satisfaction, and overall program outcomes which gives the program quality legitimacy and a co-branded certificate of completion.
An Engaging Learning Journey
Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.
Learning Path
Python Refresher with AI
Course 1
Applied Data Science with Python
Course 2
Machine Learning
Course 3
Deep Learning Specilization
Course 4
Generative AI Literacy
Course 5
Generative AI Essentials by IBM
Course 6
Foundation Models and Generative AI Platforms by IBM
Course 7
Capstone Project
Course 8
Prompt Engineering Essentials by IBM
Elective Course
Natural Language Processing and Speech Recognition
Elective Course
Advanced Generative AI
Elective Course
Masterclasses by IBM
Elective Course
Agentic AI Masterclass
Elective Course
Who Should Enroll in this Program?
This program is tailored for mid to senior-level IT professionals who want to elevate their careers or move into roles focused on AI, machine learning, and generative AI. Whether you're looking to deepen your technical skills, pivot to AI-centric projects, or step into leadership positions in data science and AI, the program offers comprehensive knowledge, practical experience, and a respected certification to help you stay competitive in the evolving tech industry.
Mid-level IT professionals
Senior IT professionals or tech leads
Professionals seeking a career shift into AI/ML/GenAI
Individuals aiming to lead AI-driven projects
Aspiring AI/Data Science leaders
Prerequisites
- Preferably 2+ years of full-time work experience.
- A foundational understanding of programming and mathematics is beneficial.
- Be at least 18 years old and have a High School Diploma or equivalent
Statements
Licensing and accreditation
This program is offered in collaboration with Michigan Engineering Professional Education, University of Michigan Online according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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