Prepare for the AI-900 Certification Exam by covering the complete exam syllabus as updated in April 2021 with sample questions with this course.
We will be covering the following 5 domains in the course:
Domain 1: We will cover the identification of features in common AI workloads and guiding principles for responsible AI.
Domain 2: We will cover the identification of common machine learning variants, description of core machine learning concepts, identification of core risks in the creation of a machine learning solution, and description of capabilities of no-code machine learning with Azure machine learning.
Domain 3: We will cover the identification of common types of computer vision solutions and the identification of Azure tools and services for computer vision tasks.
Domain 4: We will cover the identification of features in common NLP workload scenarios and learn how to identify Azure tools and services for NLP workloads.
Domain 5: We will cover the identification of common use cases for conversational AI and will be identifying Azure services for conversational AI.
By the end of this course, you will be ready to appear for your AI-900 exam.
All the resources for this course are available at https://github.com/PacktPublishing/AI-900-Microsoft-Azure-AI-Fundamenta….
Learn foundational knowledge of machine learning and artificial intelligence
Learn common ML and AI workloads and how to implement them on Azure
Cover principles of machine learning on Azure
Learn about computer vision workloads on Azure
Cover Natural Language Processing (NLP) workloads on Azure
Understand conversational AI workloads on Azure
No prerequisite is required for this course. Candidates with both technical and non-technical backgrounds can benefit from this course.