Microsoft Generative AI Engineering

Microsoft via Coursera Professional Certificate

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Overview

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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.

Syllabus

Course 1: Getting started with generative AI in Azure
Course 2: Core generative models and techniques
Course 3: Working with large language models using Azure
Course 4: Multimodal and cross-modal AI integrations
Course 5: MLOps and responsible AI practices

Courses

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21 hours 50 minutes
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This course equips you with the essential skills to take generative AI models from development to production. You will learn to implement robust MLOps practices on Azure, including automated CI/CD pipelines, version control, and full lifecycle management for your models. Simultaneously, you will dive into the critical principles of Responsible AI, using Microsoft’s framework to build fair, transparent, and ethical models that you can deploy with confidence.
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20 hours 33 minutes
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Master the development of generative AI solutions using Microsoft Azure. This hands-on course guides you through the complete application lifecycle, from foundational concepts to deployment. You will learn to control Large Language Models (LLMs) with advanced prompt engineering, ground models in custom data using Retrieval-Augmented Generation (RAG) pipelines, and tailor their behavior with fine-tuning techniques. Using powerful Azure tools, you'll build, deploy, and manage sophisticated AI applications ready to solve real-world challenges.
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19 hours 55 minutes
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Learn to build AI that sees, hears, and understands the world in an integrated way. This course takes you beyond single-modality models, teaching you to architect applications that connect different data types like text, images, and speech. Starting with text-to-image generation, you will progress to integrating various AI components and orchestrating the full power of Azure AI Services to build sophisticated, cross-modal solutions. By the end, you'll be equipped to design the next generation of intelligent, multi-faceted AI applications.
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20 hours 35 minutes
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Explore the diverse and powerful world of core generative AI. This course provides a comprehensive survey of the fundamental models that power modern AI, including Generative Adversarial Networks (GANs), autoregressive models, and diffusion models. You will build a strong foundation, understanding the unique architectures and training strategies for each, and compare essential frameworks like PyTorch and TensorFlow. The course then moves into hands-on implementation. You will learn to generate sequential data, such as time-series forecasts, using advanced autoregressive models in Azure AI Foundry. Next, you will master the art of high-fidelity image generation, using diffusion models to create and edit stunning visuals with techniques like inpainting and outpainting. Finally, you will learn to accelerate your development workflow by using Azure ML Designer, a visual, low-code environment for rapid prototyping. You will practice designing, building, evaluating, and preparing sophisticated model pipelines for real-world deployment. This course equips you not just with knowledge of different models, but with the practical skills to build and prototype them effectively on Azure.
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17 hours 2 minutes
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Dive into the transformative world of generative AI with Microsoft Azure! This course is your hands-on introduction to building intelligent applications, taking you from core concepts to completing multiple hands-on projects. You will start by understanding the fundamentals of what makes generative AI unique and explore its evolution from traditional AI models to the generative approach. Next, you'll get acquainted with the Azure AI Foundry, Microsoft's powerful platform for AI development. Through practical labs and activities, you will learn to set up your environment, experiment with different AI models, and configure key parameters. The course culminates in you designing, building, and refining your own text generation application. Crucially, you will also learn to integrate essential ethical principles, ensuring your AI solutions are responsible and safe. By the end, you won't just understand generative AI; you'll have the practical skills to build with it.