Applied Generative AI Specialization

39.500,00 NOK

  • 16 uker
Blandet læring
eLæring
Live virtuelt klasserom

Applied Generative AI-spesialiseringen, i samarbeid med Michigan Engineering Professional Education og drevet av Simplilearn, er et engasjerende, prosjektbasert program utviklet for å gi fagpersoner kompetansen de trenger for å utvikle praktiske, skalerbare og etiske generative KI-løsninger. Spesialiseringen er egnet for IT- og datafagfolk, produkt- og programledere, konsulenter og nye teknologer, og legger vekt på å bruke GenAI-funksjonalitet til å løse virkelige forretningsmessige og tekniske utfordringer.

About the Program

Applied Generative AI Specialization in collaboration with Michigan Engineering Professional Education, powered by Simplilearn

A hands-on, career-focused program crafted to help professionals engineer practical, scalable, and responsible generative AI solutions. Suited for IT and data professionals, product and program managers, consultants, and emerging technologists, the specialization emphasizes applying GenAI capabilities to real-world business and technical challenges.

  • Master the skills to design and deploy autonomous AI agents capable of independent reasoning, planning, and execution.
  • Participate in live, interactive masterclasses guided by seasoned industry practitioners.
  • A 16-week program with weekend sessions averaging 8–10 hours per week.
  • Reach out to us for upcoming cohort dates and scheduling details!

The curriculum covers Python fundamentals, AI literacy, generative AI models and architectures, LLM application development, agentic AI frameworks, and GenAI governance. Participants gain hands-on exposure to advanced techniques including prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning, all grounded in best practices for AI transparency, fairness, security, and regulatory compliance.
Upon completion, graduates receive industry-recognized credentials from Simplilearn, Michigan Engineering Professional Education and Microsoft Azure, demonstrating their readiness to architect, deploy, and champion AI-driven transformation within their organizations.

Key Features

Course content and materials are delivered in English

Designed for intermediate to advanced learners

in collaboration with Michigan Engineering Professional Education, Powered By Simplilearn

16-week program with weekend sessions of 5–6 hours per week

70+ hours of live, instructor-led classes with mentor-guided project support

A recommended 300+ hours of self-study and practice

1 year of course access, including recorded session replays

12+ cutting-edge AI tools: OpenAI, Stable Diffusion, Microsoft Copilot, and Streamlit

Receive a Microsoft course completion certificate through the MS Learn portal

Earn a program completion certificate issued by Michigan Engineering Professional Education

Awarded a Michigan Engineering Professional Education digital badge upon completion

Learning Outcomes

At the end of this Bootcamp, you will be able to:

Programming

Establish a strong programming foundation to write, execute, and optimize Python code tailored for AI and machine learning workflows and applications.

AI concepts

Build a comprehensive understanding of artificial intelligence, machine learning, and generative AI principles, including ethical considerations, responsible use, and practical real-world applications.

Generative models

Examine and work with core generative model architectures, including variational autoencoders (VAEs), generative adversarial networks (GANs), and large language models (LLMs).

Prompt Engineering

Master advanced prompt engineering strategies, retrieval-augmented generation (RAG), and model fine-tuning methods to unlock the full potential of LLMs in practical settings.

Agentic AI

Leverage agentic frameworks to architect and develop intelligent, autonomous AI agents, utilizing LangChain to orchestrate multi-step reasoning and task execution.

Compliance & Governance

Apply industry-aligned best practices to ensure AI transparency, fairness, data security, and compliance with evolving regulatory requirements.

Creative AI

Harness the power of Stable Diffusion and autoencoder architectures to produce high-quality imagery and push the boundaries of AI's creative capabilities.

Solutions Development

Conceptualize, build, and deploy responsible, AI-powered solutions designed to tackle genuine business challenges and drive measurable organizational impact.

Tools & Platforms

Acquire practical, hands-on proficiency with leading AI tools and platforms, including 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

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.

microsoft ai engineer

Learning Path

  1. Python Refresher with AI

    Course 1 (Optional)

  2. AI Literacy

    Course 2

  3. Advanced Generative AI: Models and Architecture

    Course 3

  4. Advanced Generative AI: Building LLM Applications

    Course 4

  5. Agentic AI Frameworks with Model Context and Tooling Protocols

    Course 5

  6. Advanced Generative AI: Image Generation Capabilities

    Course 6

  7. Generative AI Governance

    Course 7

  8. Capstone Project

  9. Microsoft Azure AI Fundamentals: Generative AI

    Elective Course

  10. Build a Foundation to Extend Microsoft 365 Copilot

    Elective Course

Learning Path
generative ai specialization

Who Should Enroll in this Program?

The Applied Generative AI Specialization suits individuals who possess foundational programming knowledge and an analytical mindset, and are motivated to advance their capabilities across the latest Generative AI developments and innovations, including:

IT Professionals

Data Analysts

Business Analysts

Data Scientists

Software Developers

Analytics Managers

Data Engineers

Product Managers

Program Managers

Tech Consultants

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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

Frequently Asked Question

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