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

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
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
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

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Taught in English
Recently updated!

January 2026

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

Category: Generative Model Architectures
Category: Semantic Web
Category: ChatGPT
Category: Application Performance Management

What you'll learn

Skills you'll gain

Category: AI Orchestration
Category: Prompt Engineering
Category: AI Workflows
Category: Computer Vision
Category: Microsoft Azure
Category: Solution Design
Category: Application Programming Interface (API)
Category: Multimodal Prompts
Category: Generative AI
Category: Image Analysis

What you'll learn

Skills you'll gain

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

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 2,226,686 learners

Offered by

Microsoft

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