Microsoft

Microsoft Generative AI Engineering Professional Certificate

Microsoft

Microsoft Generative AI Engineering Professional Certificate

Empower innovation using generative AI engineering.

Build, fine-tune, and deploy generative AI models using Microsoft tools and platforms.

 Microsoft

Instructor: Microsoft

Access provided by L'Oréal

4,047 already enrolled

Earn a career credential that demonstrates your expertise

from 8 reviews of courses in this program

Intermediate level

Recommended experience

3 months to complete
at 8 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise

from 8 reviews of courses in this program

Intermediate level

Recommended experience

3 months to complete
at 8 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Grasp core generative AI models and their applications, including GANs, diffusion models, and LLMs, leveraging Azure AI Foundry.

  • Implement and fine-tune Large Language Models (LLMs) and build generative applications using Azure OpenAI Services.

  • Integrate multimodal and cross-modal AI components within applications using Azure AI Vision and other Azure AI Services.

  • Apply MLOps principles with Azure ML for lifecycle management and implement responsible AI practices.

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

January 2026

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your career with in-demand skills

  • Receive professional-level training from Microsoft
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Microsoft

Professional Certificate - 5 course series

What you'll learn

Skills you'll gain

Category: Microsoft Azure
Category: Application Development
Category: Generative AI
Category: Responsible AI
Category: Application Design
Category: Prompt Engineering
Category: API Design
Category: Artificial Intelligence
Category: LLM Application
Category: Machine Learning
Category: Model Evaluation
Category: Data Ethics
Category: Deep Learning
Category: AI Enablement
Category: Artificial Intelligence and Machine Learning (AI/ML)

What you'll learn

Skills you'll gain

Category: Generative Model Architectures
Category: Model Evaluation
Category: Time Series Analysis and Forecasting
Category: Generative Adversarial Networks (GANs)
Category: Generative AI
Category: MLOps (Machine Learning Operations)
Category: Prototyping
Category: PyTorch (Machine Learning Library)
Category: Cloud Deployment
Category: Image Analysis
Category: Data Preprocessing
Category: Deep Learning
Category: Tensorflow
Category: Model Deployment
Category: Microsoft Azure
Category: Forecasting

What you'll learn

Skills you'll gain

Category: Vector Databases
Category: Generative Model Architectures
Category: AI Security
Category: ChatGPT
Category: Semantic Web

What you'll learn

Skills you'll gain

Category: Microsoft Azure
Category: AI Orchestration
Category: Computer Vision
Category: Generative AI
Category: Prompt Engineering
Category: Image Analysis
Category: Multimodal Prompts
Category: LLM Application
Category: Natural Language Processing
Category: AI Workflows

What you'll learn

Skills you'll gain

Category: MLOps (Machine Learning Operations)
Category: Responsible AI
Category: CI/CD
Category: Version Control
Category: Microsoft Azure
Category: Azure DevOps
Category: Data Ethics
Category: Git (Version Control System)
Category: Automation
Category: Model Evaluation
Category: System Monitoring
Category: Generative AI
Category: Continuous Monitoring
Category: AI Workflows
Category: Artificial Intelligence
Category: Model Deployment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

 Microsoft
287 Courses 2,371,284 learners

Offered by

Microsoft

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

¹Career improvement (i.e. promotion, raise) based on Coursera learner outcome survey responses, United States, 2021.