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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Professional Certificate - 5 course series

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

Category: Retrieval-Augmented Generation
Category: Prompt Engineering
Category: Embeddings
Category: Cloud Applications
Category: Large Language Modeling
Category: Semantic Web
Category: Model Evaluation
Category: Application Deployment
Category: Microsoft Azure
Category: LLM Application
Category: ChatGPT
Category: Model Deployment
Category: Application Performance Management
Category: Application Design

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

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Instructor

 Microsoft
278 Courses2,140,106 learners

Offered by

Microsoft

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