The AI-900T00: Microsoft Azure AI Fundamentals course is an introductory program that provides learners with a foundational understanding of artificial intelligence (AI) concepts and associated Microsoft Azure services. This comprehensive course is designed to guide students through the basics of AI, machine learning, Computer Vision, Natural Language Processing, Conversational AI, and more, with a strong emphasis on practical exercises using Azure's AI tools.

Learners will gain knowledge on the fundamentals of artificial intelligence, including how AI is integrated within Azure and the importance of Responsible AI practices. The course also dives into the core fundamentals of machine learning, teaching how to apply and manage these models in Azure. By exploring Azure AI Services, students get hands-on experience with automated machine learning and other AI capabilities.

As part of the Computer Vision module, attendees will learn to analyze images, recognize faces, and read text using Azure's Vision Studio. The course also covers Natural Language Processing features, offering insights into text analysis, conversational understanding, and speech services in Azure.

Finally, the course discusses the emerging field of Generative AI and how it is facilitated through Azure OpenAI Service, highlighting the importance of ethical considerations when deploying these powerful AI models.

By the end of the AI-900T00 course, participants will have a solid foundation in Azure AI Services, empowering them to implement AI solutions ethically and effectively in various applications.

Certainly! Here are the minimum required prerequisites for students intending to undertake the AI-900T00: Microsoft Azure AI Fundamentals course:

• Basic understanding of computing concepts: Familiarity with the core computing principles, including what a computer program is and what a network is.
• Fundamental knowledge of data concepts: An understanding of how data is stored and processed, including knowledge of databases and basic data types.
• Introductory level of mathematics: A grasp of basic mathematical concepts, including algebra and statistics, which are foundational to understanding machine learning algorithms.
• General understanding of cloud computing: Awareness of cloud services and cloud models (IaaS, PaaS, SaaS) is helpful, as Azure is a cloud platform.
• No prior experience with Azure is required: While experience with Azure can be beneficial, it is not a prerequisite for this course. The fundamentals will be covered during the training.
• Interest and willingness to learn about AI and machine learning: A curiosity about artificial intelligence, machine learning, and their applications in real-world scenarios.
• Proficiency in English: Since the course material and instructions are in English, proficiency in reading and understanding technical English is important.

Please note that while these are the minimum prerequisites, individuals with additional experience in programming, data science, or working with Microsoft Azure may find it easier to grasp the more technical aspects of the course. However, the course is designed to be accessible even for those with just the foundational knowledge listed above.

Roadmap