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Microsoft Generative AI Engineering
Coursera
Professional Certificate
Unknown

Microsoft Generative AI Engineering

Microsoft

Specialized program for developers to deepen expertise in building and customizing generative AI models using Microsoft Azure tools.

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About this Course

This certificate is designed for developers with a foundational understanding of Azure, aiming to deepen their expertise in AI-powered application development, specifically customizing generative AI models within the Microsoft ecosystem. This specialization empowers you to build, fine-tune, and deploy generative AI models using Microsoft tools such as Azure AI Foundry, Azure Machine Learning, and Azure OpenAI Service. You'll gain hands-on experience with models like GANs, transformer models, diffusion models, and LLMs, integrating them with Azure's cloud infrastructure for scalable solutions. By the end of this specialization, you will be able to: Understand core generative AI models and their applications. Leverage Azure AI Foundry for developing scalable generative AI solutions. Implement and fine-tune LLMs using Azure OpenAI services. Integrate multimodal learning and cross-modal techniques in AI workflows. Optimize AI models for performance, efficiency, and cost within Azure. Explore MLOps practices for lifecycle management of AI models. Address ethical considerations and implement responsible AI practices. This program is ideal for developers looking to customize generative AI models and build AI-powered applications within the Microsoft ecosystem. While an understanding of Microsoft Azure and generative AI models is beneficial, the program is structured to provide a comprehensive learning experience, preparing you for the evolving demands of the AI industry

What You'll Learn

  • Grasp core generative AI models and applications using Azure AI Foundry
  • Implement and fine-tune LLMs with Azure OpenAI Services
  • Integrate multimodal AI components using Azure AI Vision and other services
  • Apply MLOps principles with Azure ML and implement responsible AI practices

Prerequisites

  • Basic familiarity with topic and terminology
  • Willingness to engage in applied exercises or case work

Instructors

M

Microsoft

Topics

Software Development
Computer Science
Machine Learning
Data Science
AI Enablement
AI Orchestration
AI Security
AI Workflows
Artificial Intelligence and Machine Learning (AI/ML)
Azure DevOps

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تطوير البرمجيات
علوم الحاسوب
تعلم الآلة
علوم البيانات
تمكين الذكاء الاصطناعي
تنسيق الذكاء الاصطناعي
أمن الذكاء الاصطناعي
سير عمل الذكاء الاصطناعي
Artificial Intelligence and Machine Learning (AI/ML)
Azure DevOps

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