Microsoft
Microsoft Generative AI Engineering Professional Certificate

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

Category: Semantic Web
Category: ChatGPT
Category: Generative Model Architectures

What you'll learn

Skills you'll gain

Category: Microsoft Azure
Category: Multimodal Prompts
Category: AI Workflows
Category: Image Analysis
Category: Generative AI
Category: LLM Application
Category: AI Orchestration
Category: Prompt Engineering
Category: Computer Vision
Category: Applied Machine Learning
Category: Artificial Intelligence
Category: Systems Architecture

What you'll learn

Skills you'll gain

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

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Instructor

 Microsoft
282 Courses2,158,113 learners

Offered by

Microsoft

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¹Based on Coursera learner outcome survey responses, United States, 2021.