You can get Microsoft AI certification using this path
AI-900

1. Fundamental Concepts: Grasp foundational AI concepts, including machine learning, natural language processing, and computer vision, as outlined in the AI-900 Microsoft Certification.
2. Azure AI Services: Familiarize yourself with key Azure AI services such as Azure Cognitive Services and Azure Machine Learning, essential components covered in the certification.
3. Use Cases and Applications: Understand real-world applications of AI technologies and their potential impact across various industries to enhance your practical knowledge.
4. Hands-On Experience: Gain hands-on experience with Microsoft AI tools and services, ensuring you can confidently apply theoretical knowledge to practical scenarios.
5. Exam Preparation: Utilize available study resources, practice exams, and official documentation to prepare thoroughly for the AI-900 certification exam and increase your chances of success.

AI-102

1. Exam Overview: Understand the key components and objectives of the AI-102 Microsoft Certification exam, covering topics such as designing and implementing AI solutions, implementing natural language processing, and deploying machine learning models.
2. Prerequisite Skills: Ensure attendees have a solid foundation in prerequisite skills, including proficiency in Python programming, knowledge of Azure services, and familiarity with machine learning concepts and frameworks.
3. Hands-on Experience: Emphasize the importance of practical experience by engaging in hands-on projects and labs. This could involve implementing AI solutions using Azure services, working with real-world datasets, and deploying machine learning models.
4. Study Resources: Provide a curated list of recommended study resources, including official Microsoft documentation, practice exams, and relevant online courses. Encourage attendees to leverage these resources for comprehensive exam preparation.
5. Exam Strategies: Share effective exam strategies, such as time management, understanding question formats, and focusing on high-impact topics. Discuss common pitfalls and offer guidance on how to approach different types of questions to increase the likelihood of success.