Professional Certificate in AI and Machine Learning
3.500,00 EUR
- 6 months
Elevate your career with this in-depth AI and machine learning program, weaving together conceptual foundations, project-based learning, and applied exercises under the academic oversight of Michigan Engineering Professional Education powered by Simplilearn. You'll build a strong command of core AI and ML concepts while gaining the hands-on proficiency to deploy leading tools and techniques in tackling genuine, real-world business challenges.
About the program
In collaboration with Michigan Engineering Professional Education & IBM, Powered by Simpliearn
- Earn a program completion certificate from Michigan Engineering Professional Education
- Develop high-demand capabilities, including AI automation, AI literacy, and beyond
- A 6-month program with weekend sessions of 6–8 hours per week
- Reach out to us for upcoming cohort dates and scheduling details
The program delivers live virtual instruction, hands-on projects, integrated labs, and expert-led masterclasses, creating an immersive and engaging learning journey. Core subject areas span mathematics and statistics, Python programming, machine learning, deep learning, agentic and generative AI, prompt engineering, explainable AI, ChatGPT, natural language processing, and much more.
Key Features
Course content and materials are delivered in English
Designed for intermediate to advanced level professionals
A 6-month program with weekend sessions of 5–6 hours per week
200+ hours of live online instruction led by seasoned industry experts
A recommended 350+ hours of independent study and practice
1 year of access to the learning platform and recorded class sessions
12+ hands-on projects, including three capstone projects spanning multiple industries
15+ industry tools, including ChatGPT, Claude, Descript, Julius.ai, Zapier, and Python
Attend exclusive masterclasses delivered by industry thought leaders and IBM subject matter experts
Receive industry-recognized course certificates issued by IBM
Earn a program completion certificate from Michigan Engineering Professional Education
Awarded a Michigan Engineering Professional Education & Simplilearn digital badge upon completion
Learning Outcomes
At the end of this program, you will be able to:
Efficient Python
Develop the ability to write clean, optimized Python code and harness its extensive library ecosystem for data analysis and AI-driven project development.
Data
Cultivate expertise in data wrangling, exploratory analysis, visualization, and hypothesis testing to underpin confident, evidence-based decision-making.
Algorithms
Comprehend and implement a broad spectrum of machine learning algorithms, with a solid grasp of concepts such as regularization, overfitting prevention, and model optimization.
Neural Networks
Acquire hands-on expertise in architecting and training neural networks, including convolutional and recurrent variants, to tackle complex and high-dimensional data challenges.
SciPy
Harness the capabilities of the SciPy library and its specialized modules, including Integrate, Optimize, Stats, IO, and Weave, for advanced scientific and technical computation tasks.
Chatbots
Build the technical foundation to design and deploy intelligent conversational chatbots and AI-powered customer service agents for real-world business environments.
Text-to-speech
Implement robust text-to-speech functionality and automated speech recognition systems to power voice-enabled applications and accessibility solutions.
ChatGPT
Investigate the capabilities of ChatGPT and uncover its wide-ranging practical applications across diverse industries and professional use cases.
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
What added value does University of Michigan contribute to the program?
This program is powered by Simplilearn in collaboration with Michigan Engineering Professional Education, bringing together platform excellence and academic credibility to deliver a truly industry-aligned learning experience. The program curriculum is reviewed and formally approved by Michigan Engineering Professional Education, ensuring academic rigor and relevance. Please note that live classes are conducted not by University faculty, but by a carefully selected group of experienced industry professionals and subject matter experts. While these instructors are not University of Michigan employees, their depth of real-world expertise ensures learners receive current, practical, and career-ready knowledge.
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 purpose-built for mid to senior-level IT professionals seeking to advance their careers or transition into roles centered on AI, machine learning, and generative AI. Whether your goal is to sharpen technical depth, redirect your focus toward AI-driven projects, or step into data science and AI leadership, the program delivers well-rounded knowledge, real-world experience, and a widely respected credential to keep you ahead in a rapidly transforming technology landscape.
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
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