Microsoft Data and AI
Learn how to build and deploy intelligent solutions with Azure AI
Microsoft offers a range of courses and certifications for AI and data science professionals who want to leverage the power of Azure cloud services. Whether you are new to AI and data science or you have some experience, you can find a course that suits your needs and goals. Here are some of the courses that you can enroll in:
Microsoft Certified: Azure AI Fundamentals
This certification is designed for anyone who wants to learn the basics of artificial intelligence (AI) and how to use Azure AI services. You will learn about the concepts and principles of AI, such as machine learning, computer vision, natural language processing, and conversational AI. You will also learn how to use Azure tools and services to create and deploy AI solutions, such as Azure Machine Learning, Azure Cognitive Services, Azure Bot Service, and Azure Synapse Analytics.
This course will prepare you for the AI-900 certification exam, Microsoft Certified: Azure AI Fundamentals
Develop Generative AI Solutions with Azure OpenAI Service
This course is designed for developers and data scientists who want to learn how to use Azure OpenAI Service to create generative AI solutions. You will learn how to use the OpenAI Codex model, a powerful deep learning system that can generate code, text, images, and other content from natural language inputs. You will also learn how to use the Azure OpenAI Playground, a web-based interface that allows you to interact with the model and explore its capabilities. This course will help you understand the potential and limitations of generative AI and how to apply it to various scenarios and domains.
Designing and Implementing an Azure AI Solution
This certification is designed for AI engineers and developers who want to learn how to design and implement an end-to-end Azure AI solution. You will learn how to analyze the requirements and specifications of an AI project, how to select and integrate the appropriate Azure AI services and components, how to design and implement data pipelines and workflows, how to monitor and optimize the performance and reliability of the AI solution, and how to deploy and manage the AI solution. This course will prepare you for the AI-102 certification exam.
This course will prepare you for the AI-102 certification exam, Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Data Scientist Associate
This certification is designed for data scientists who want to learn how to use Azure Machine Learning to build and deploy data science solutions on Azure. You will learn how to use the Azure Machine Learning studio, a web-based interface that allows you to create and manage machine learning experiments, models, and pipelines. You will also learn how to use the Azure Machine Learning SDK, a Python-based library that allows you to programmatically access and control the Azure Machine Learning resources and services. You will also learn how to use other Azure services and tools that support data science, such as Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure DevOps.
This course will prepare you for the DP-100 certification exam, Microsoft Certified: Azure Data Scientist Associate
Microsoft Certified: Fabric Analytics Engineer Associate
This certification is designed for data engineers who want to learn how to use Azure to design and implement data engineering solutions. You will learn how to use Azure services and tools to ingest, store, process, and analyze data from various sources and formats, such as relational, non-relational, structured, semi-structured, and unstructured data. You will also learn how to use Azure services and tools to design and implement data security, governance, and compliance policies and practices. You will also learn how to use Azure services and tools to design and implement data pipelines and workflows that support data science and AI solutions.
This course will prepare you for the DP-600 certification exam, Microsoft Certified: Fabric Analytics Engineer Associate