Applied Generative AI Specialization Bootcamp
3.500,00 EUR
- 300 hours
The Applied Generative AI Specialization in collaboration with Michigan Engineering Professional Education, is a hands-on program designed to help professionals build practical, scalable, and responsible generative AI solutions. Ideal for IT and data professionals, product and program managers, consultants, and early-career technologists, the specialization focuses on applying GenAI to real business and technical challenges.
About the Program
In collaboration with Michigan Engineering Professional Education, University of Michigan Online & Microsoft
- Develop the expertise to design and build AI agents that can think, plan, and operate autonomously.
- Join interactive masterclasses led by industry experts
- 16 Week length program (8-10/week weekend classes)
- Ask us for the next cohort and schedule details!
The curriculum spans Python fundamentals, AI literacy, generative AI models and architectures, LLM application development, agentic AI, and GenAI governance. Learners gain experience with advanced techniques such as prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning, while applying best practices for transparency, fairness, security, and regulatory compliance.
Graduates earn recognized certificates from Michigan Engineering Professional Education and Microsoft Azure, validating their ability to design, deploy, and lead AI-driven transformation across organizations.
Key Features
Course and material are in English
Intermediate to advanced level
in collaboration with Michigan Engineering Professional Education Online
16 Weeks program (5-6 hours/week weekend classes)
70+ hours of live classes and mentor-led project support
300+ hours of study time and practice recommended
1 year course access & session recordings
Work with 12+ modern AI tools, including OpenAI, Stable Diffusion, Microsoft Copilot, and Streamlit
Get a Microsoft course completion certificate hosted on the MS Learn portal
Program completion certificate from Michigan Engineering Professional Education Online
Secure a Michigan Eng Pro-Ed digital badge
Learning Outcomes
At the end of this Bootcamp, you will be able to:
Programming
Build a solid programming foundation to write, run, and optimize Python code for AI and ML applications
AI concepts
Develop a strong understanding of AI, machine learning, and generative AI concepts, including ethical considerations and real-world use cases
Generative models
Explore generative models such as variational autoencoders (VAEs), generative adversarial networks (GANs), and large language models (LLMs)
Prompt
Apply advanced prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques for practical LLM applications
Agentic
Work with agentic frameworks to design and build intelligent AI agents using LangChain
Compliance
Implement best practices for AI transparency, fairness, security, and regulatory compliance
Creative
Use Stable Diffusion and autoencoders to create high-quality images and expand AI’s creative potential
Solutions
Design, develop, and deploy responsible AI-driven solutions to address real business challenges
Tools
Gain hands-on experience with tools such as Gemini, FAISS, Azure AI Studio, and Hugging Face
Skills Covered
- Prompt Engineering
- Agentic Frameworks
- AI Agents
- Retrieval-Augmented Generation (RAG)
- LangChain for Workflow Design
- Stable Diffusion & AI Image Generation
- LLM Fine-Tuning
- Variational Autoencoders (VAEs)
- Generative Adversarial Networks (GANs)
- Attention Mechanisms
- Transformers
- LLM Benchmarking
- GenAI Application Development
- GenAI Governance
- Model Context Protocol (MCP)
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 (Optional)
AI Literacy
Course 2
Advanced Generative AI: Models and Architecture
Course 3
Advanced Generative AI: Building LLM Applications
Course 4
Agentic AI Frameworks with Model Context and Tooling Protocols
Course 5
Advanced Generative AI: Image Generation Capabilities
Course 6
Generative AI Governance
Course 7
Capstone Project
Microsoft Azure AI Fundamentals: Generative AI
Elective Course
Build a Foundation to Extend Microsoft 365 Copilot
Elective Course
Who Should Enroll in this Program?
This program caters to working professionals from various industries and backgrounds, fostering a collaborative and engaging learning atmosphere. With Generative AI emerging as a strong career path for both beginners and experienced experts, the Applied Generative AI Specialization is well-suited for individuals who have fundamental programming knowledge and an analytical mindset, and are eager to enhance their skills in the latest Generative AI innovations, including:
IT Professionals
Data Analysts
Business Analysts
Data Scientists
Software Developers
Analytics Managers
Data Engineers
Product Managers
Program Managers
Tech Consultants
Prerequisites
- Must be 18 years or older with a high school diploma (or equivalent)
- Should possess a basic grasp of programming concepts and mathematics
- Ideally have 2+ years of professional experience, though it’s not required
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 Question
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