Prepare for the AI-900: Microsoft Azure AI Fundamentals exam and gain globally recognized certification with this comprehensive course. Refresh your knowledge of machine learning principles on Microsoft Azure, explore AI workloads, and delve into computer vision, Natural Language Processing (NLP), and conversational AI on Azure. Test your skills with practice exams and learn best practices for exam preparation.
Intended for candidates with technical and non-technical backgrounds, this course covers essential concepts and skills measured by the exam. You'll gain insights into the Microsoft certification program, testing strategies, and resources for success. Basic computer literacy and proficiency in the English language are required, along with familiarity with computing and technology concepts, including machine learning and artificial intelligence.
Certificate Available ✔
Get Started / More Info
Prepare for the AI-900: Microsoft Azure AI Fundamentals exam with this course. Cover topics such as testing strategies, practice exams, and insights into the certification process.
This module provides an introduction to the course, including insights into job opportunities, testing strategies, tips and tricks, and a detailed course syllabus. You'll also learn how to prepare for the proctored exam, explore certification pathways, and understand the topics covered in the AI-900 exam.
Recap the key concepts from previous courses, including Artificial Intelligence on Microsoft Azure and Microsoft Azure Machine Learning. Practice exams covering these topics will help reinforce your knowledge and prepare you for the AI-900 exam.
Explore the concepts of Computer Vision and Natural Language Processing in Microsoft Azure. Recap the key topics from these courses and practice exams to enhance your understanding and readiness for the AI-900 exam.
Receive career support information and insights into what to expect after passing the exam. Access a full practice exam, learn about the Microsoft Learn Practice Exam for AI-900, and get details on signing up for the proctored exam. Additional resources and a course review will further consolidate your knowledge.
Machine Learning with TensorFlow on Google Cloud em Português Brasileiro is a comprehensive course covering essential machine learning concepts and practical applications...
Customer Segmentation using K-Means Clustering in R is a 2.5-hour project-based course that teaches how to perform market segmentation, create plots of customer...
A comprehensive introduction to TensorFlow and Keras in Spanish, covering data pipeline design, neural network training, and deployment on Google Cloud AI Platform....
Spark, Hadoop, and Snowflake for Data Engineering is a comprehensive course designed to equip learners with the skills and knowledge to build efficient and scalable...