Microsoft AI-102 Practice Test
Description
The Microsoft AI-102 course is an advanced-level program designed to help professionals enhance their expertise in Artificial Intelligence (AI) and machine learning. Below are the key topics covered in the course:
Designing AI Solutions: Learn to design and architect AI solutions to address a wide range of business challenges, including computer vision, natural language processing, and predictive analytics.
Implementing AI Solutions: Gain hands-on experience with implementing AI solutions using Azure AI services and tools such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
Optimizing and Monitoring AI Solutions: Understand how to optimize and monitor AI solutions to ensure high performance and alignment with business requirements.
Responsible AI: Explore the ethical considerations and potential risks associated with AI, and learn how to design solutions that are fair and responsible.
Machine Learning Operations (MLOps): Learn the principles of MLOps, focusing on managing, deploying, and scaling machine learning models in production environments.
Azure AI Platform: Dive into the Azure AI platform and explore its diverse range of services and tools for building advanced AI solutions, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
Course Audience
The AI-102 course is ideal for AI engineers, data scientists, and machine learning engineers who want to expand their skills in designing and implementing AI solutions with Azure. It is an advanced-level course, requiring a solid foundation in AI and machine learning concepts.
Prerequisites
Candidates are recommended to have completed the Microsoft AI-900 course or possess equivalent knowledge before enrolling. A strong understanding of AI and machine learning practices is essential for success in this course.
By completing the AI-102 course, professionals will gain the skills needed to design and implement sophisticated AI solutions using Azure AI services and tools.
Who this course is for:
- AI Engineers: Professionals experienced in developing AI models and systems who are looking to advance their skills in designing and implementing AI solutions using Azure AI services and tools.
- Data Scientists: Experts in data analysis, machine learning, and statistics who seek to expand their expertise in designing and deploying AI solutions with Azure AI services and tools.
- Machine Learning Engineers: Specialists in developing and deploying machine learning models and systems who aim to enhance their capabilities in designing and implementing AI solutions through Azure AI services and tools.
- Developers: Software development professionals interested in learning how to design and implement AI solutions using Azure AI services and tools.
Instructor
- 3.8 Instructor Rating
- 107 Reviews
- 4,510 Students
- 34 Courses
He have extensive knowledge and experience working with the Microsoft Azure cloud computing platform. include experience with Azure virtual machines, Azure storage, Azure networking, and the various other services and tools that Azure offers. he have experience with deploying and managing applications and services on Azure, as well as troubleshooting and optimizing performance. Additionally, he have certifications such as Microsoft Certified: Azure Developer Associate, Azure Administrator Associate and Azure Solutions Architect Expert. he is active in the Azure community, contributing to open-source projects, speaking at conferences, and writing articles or blog posts on Azure-related topics.