Learn about details of Microsoft structure when it comes to exams, and get some information about the AI-900 exam to learn what to expect.
- [Narrator] I would like to start by talking a little bit about the certification itself, and what you should expect from the exam, and therefore this course. Microsoft tends to follow a somehow consistent convention when it comes to naming their exams, which helps you on understanding what you expect in terms of knowledge area and level of difficulty. Microsoft has three main levels of certifications, Fundamentals, Associate, and Experts. They do also have a specialty level, but it's for very specific workloads, such as IOT or SAP and Azure. So let's focus on the streaming categories for now. First we have the fundamentals level with exams that generally end with 900 such as, our AI-900 or the AZ-900. You can expect the certifications should be quite into level ,and cover just general concepts without digging too much into technical details. Then we have the Associate Certifications. The number is a little bit more flexible here, but most of them end with a hundred or 200, such as DP-200 or AI-102. These certifications are for professionals with their own two years of experience on the project. So they are far more technical than the fundamental ones. Finally, we have the Expert level certifications such as Azure DevOps engineer, exam AZ-400, and solutions architect exams AZ-300 and AZ-301. These exams have the highest level of technical difficulty in the corresponding prestige. The prefix also matters as it defines the area of knowledge. For example, DP for data platform, AI for artificial intelligence, or AZ for Azure. The AI-900 pretty much matches these definitions. It's an Entry level certification, so it focuses more on what the technology can do. You shouldn't expect any coding questions, or questions that require you to decide which button, or option to click on. On the AI side, there's a high focus on cognitive services, especially on vision, speech, and text, and also in bots. You also need to understand the Azure machine learning on a conceptual level. Finally, Microsoft has a high focus on ethics, even more when it comes to AI. So you need to understand the ASCO framework of Azure AI solutions. I have designed the course to match these exams requirements. Therefore, will not focus too much on coding and implementation here, especially because with almost 30 cognitive services alone, it would be impractical to talk about each one of them in detail. I will however, be doing some demos to help you understand the technology potential. And we will add some reference to all the courses in the link of the library, in case you want to know more details about a specific technology. In what kind of knowledge do you need to bring? Well, to be honest not much, as walk over most of the topics from the beginning. However, I'd say that having some Azure database and development experience could benefit you.With that out of the way, let's just start learning some important concepts on artificial intelligence, and the Microsoft responsible AI.