Coursera – Microsoft Generative AI Engineering Professional Certificate 2026-1

Microsoft Generative AI Engineering Professional Certificate. This is a specialized training program designed to equip professionals with the skills needed to build, fine-tune, and deploy advanced generative AI models at scale. The course moves beyond theoretical foundations to practical application, introducing participants to powerful platforms such as Azure AI Foundry, Azure Machine Learning, and Azure OpenAI to build intelligent solutions. The certification curriculum covers a wide range of model architectures, including adversarial generative networks, distributed models, and large language models, and emphasizes managing the entire model lifecycle using MLOps principles and integrating with cloud infrastructure. In addition to technical skills, the course addresses critical issues of ethics in data and responsible AI to ensure that the technologies developed are safe and trustworthy. By the end of this program, learners will gain the ability to manage complex AI projects from ideation to deployment in real-world environments and will be prepared for a pivotal role in driving AI-based innovations.

What you will learn

• Deep understanding of core generative AI models and their applications including GANs, propagation models, and LLMs using Azure AI Foundry.
• Run and optimize large language models and build productive applications using Azure OpenAI services.
• Integrate multimodal and cross-modal AI components into applications using Azure AI Vision.
• Apply MLOps principles with Azure ML to manage the lifecycle of models and implement responsible AI practices.
• Optimize the performance, efficiency, and costs of AI models in the Azure cloud environment.
• Gain skills in Prompt Engineering and AI orchestration to improve interaction with models.
• Developing text-to-image conversion applications and intelligent translation systems based on GPT models.
• Building a complete MLOps pipeline from start to finish to track and manage the model lifecycle.

This course is suitable for people who:

• Software developers who have a basic understanding of Azure and want to further their expertise in building AI-powered applications.
• Data and AI engineers looking to customize generative models in the Microsoft ecosystem.
• DevOps professionals who want to learn the principles of MLOps and how to deploy machine learning models at scale.
• Cloud solution architects who are responsible for designing intelligent and scalable infrastructures.
• Anyone looking to gain hands-on experience working with ChatGPT models, PyTorch, and Azure DevOps tools for AI projects.