This new path in automation certifications opens up a world of opportunities to talented graduates and young engineers. AI automation technology is rapidly growing in both its application in manufacturing and in consumer industries such as hospitality and tourism. As an industry pioneer, Microsoft is a key player in this emerging new path. The company is investing heavily in research and development of the forthcoming “general purpose” computers. To meet this new challenge, students will need to pursue a Bachelor of Science in the areas of Computer Science, Computer Engineering, and Software Engineering.
The Microsoft Certified Azure AI Engineer Associate test covers three main areas: reinforcement learning, reinforcement normalization, and artificial intelligent domain-specific language. This examination mimics the testing that Microsoft does on the Microsoft Cognitive Suite, including the famous Blue Waters Test and the Image classification Test. The exams also cover areas such as planning and design, problem solving, decision making, pattern recognition, search, optimization, and programming for large and small domains, including eLearning. A total of nine domains are covered in the prerequisites for this test. The domains include reinforcement learning, image processing, speech recognition, databases, distributed processing, vision, natural language processing, and natural language processing. The beta exam covers these domains in depth.
Once a student completes the coursework, they will need to pass the certification exams in order to become certified. There are five sets of exams, each of which is comprised of two sections. These are the conceptual examination and the hands-on experience section.
The conceptual examination covers areas such as researching artificial intelligence, formalizing solutions, and building a solution from the ground up. Hands-on experience examines the design of a specific application and verification of its effectiveness using simulation and real-world techniques. Designing and building an air-learning engine requires an understanding of both reinforcement and domain-specific languages. Domain specific languages are those learned in courses such as those offered by the University of London (Ulaanbaatar University) in AI. This includes languages commonly used in business, finance, and other industries.
Passing the ai-100 certification requires candidates to demonstrate knowledge in all the topics taught within the course. They must also pass the Ulaanbaatar University prerequisites, which includes learning the basics of object-oriented programming and the use of databases, and of course, the Microsoft CertifiedAzure AI Project for sap workloads. This will allow them to proceed with the Microsoft CertifiedAzure AI Scalable Professional. The Scalable Pro is a six-step training course that consists of twelve modules that cover various topics, including architectural concepts, human-computer interactions, and modeling and design.
The exams for this certification path are designed by industry experts who have been in the field for years and have acquired various degrees. These experts have undergone extensive training in subjects such as AI, database design and management, optimization and computing, math, networking, software, security, and simulation. The exams are administered by several testing centers including Microsoft CertifiedAzure AI Solution Partner Company and Microsoft Certified AI Networking Expert. Candidates who successfully pass the first examination will be automatically qualified for certification.
Candidates who successfully complete the six modules will earn Microsoft Certified Azure AI Architect Associate status and will be able to work as professionals in the BIN and CRM industries. With this certification, they can already demand high salaries and get promoted in their respective jobs. To obtain this certification, the applicants must first complete the six modules. The modules are divided into two parts. The first part consists of theory and case study; while the second part includes real-life application practice and project management.