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Updated in [June 30th, 2023]

This course provides an overview of the AI-900 Microsoft Azure AI Fundamentals certification exam. It is designed to help candidates refresh their knowledge of fundamental principles of machine learning on Microsoft Azure. The course covers the main considerations of AI workloads and the features of computer vision, Natural Language Processing (NLP), and conversational AI workloads on Azure. It also provides practice exams mapped to all the main topics covered in the AI-900 exam, ensuring candidates are well prepared for certification success. Additionally, the course provides a more detailed overview of the Microsoft certification program and where candidates can go next in their career. Tips and tricks, testing strategies, useful resources, and information on how to sign up for the AI-900 proctored exam are also included. By the end of the course, candidates will be ready to sign-up for and take the AZ-900 exam.​ This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, candidates need to have basic computer literacy and proficiency in the English language. They should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.

[Applications]
Upon completion of this course, learners should be able to apply their knowledge to the AI-900 Microsoft Azure AI Fundamentals certification exam. Learners should be able to demonstrate their understanding of fundamental principles of machine learning on Microsoft Azure, the main considerations of AI workloads, and the features of computer vision, Natural Language Processing (NLP), and conversational AI workloads on Azure. Learners should also be able to apply their knowledge to practice exams and be prepared to sign-up for and take the AI-900 proctored exam.

[Career Paths]
One job position path that learners can pursue after taking this course is an AI Engineer. AI Engineers are responsible for developing and deploying AI solutions, such as machine learning models, natural language processing systems, and computer vision systems. They must have a strong understanding of the fundamentals of AI, including machine learning algorithms, data structures, and software engineering principles. AI Engineers must also be able to design and implement AI solutions that are tailored to the specific needs of their organization.

The development trend for AI Engineers is very positive. As AI technology continues to advance, more organizations are looking to hire AI Engineers to help them develop and deploy AI solutions. AI Engineers are in high demand, and the demand is expected to continue to grow in the coming years. Additionally, AI Engineers are expected to be well-versed in the latest AI technologies, such as deep learning, natural language processing, and computer vision. As AI technology continues to evolve, AI Engineers will need to stay up-to-date on the latest developments in order to remain competitive in the job market.

[Education Paths]
The recommended educational path for learners who want to take the AI-900 Microsoft Azure AI Fundamentals certification exam is to pursue a degree in Artificial Intelligence (AI). This degree will provide learners with the necessary knowledge and skills to understand the fundamentals of AI, including machine learning, natural language processing, and computer vision. It will also provide learners with the skills to develop and deploy AI solutions on Microsoft Azure.

The development trend of AI degrees is to focus on the practical application of AI technologies. This includes courses on data science, software engineering, and machine learning. Additionally, courses on ethical considerations and the legal implications of AI are becoming increasingly important. As AI technology continues to evolve, so too will the educational path for learners who want to pursue a career in AI.