Microsoft Certified Azure AI Fundamentals
Description
Comprehensive learning pathway to master foundational AI concepts, Azure AI services, and responsible AI principles for the AI-900 certification exam
Learning Objectives
Learners will demonstrate fundamental knowledge of artificial intelligence concepts, machine learning principles, Azure AI services including computer vision and natural language processing, generative AI capabilities, and responsible AI practices. They will be able to identify common AI workloads, describe Azure Machine Learning capabilities, recognize features of computer vision and NLP solutions, understand generative AI services, and apply responsible AI principles in real-world scenarios.
Courses in this Bundle (12)
Responsible AI Principles and Ethics
Understanding ethical considerations, fairness, transparency, accountability, and other responsible AI principles for developing trustworthy AI system...
Microsoft Certified Azure AI Fundamentals - Certification Exam Details
Comprehensive information about the AI-900 certification exam including format, objectives, preparation strategies, and exam logistics
Azure AI Service Architecture and Fundamentals
Understanding Azure AI service ecosystem, architecture patterns, resource management, and service integration approaches
Artificial Intelligence Fundamentals and Workload Types
Understanding basic AI concepts, different types of AI workloads, and their real-world applications across various industries and use cases
Generative AI Workloads and Azure OpenAI Service
Understanding generative AI models, Azure OpenAI service capabilities, foundation models, and responsible generative AI practices
Azure Machine Learning Service and Capabilities
Understanding Azure Machine Learning platform, automated ML capabilities, compute services, and model management and deployment features
Microsoft Certified Azure AI Fundamentals - Key Terminologies
Comprehensive glossary and definitions of key terms, concepts, and technologies related to Azure AI services and artificial intelligence fundamentals
Computer Vision Workloads and Azure AI Vision Service
Understanding computer vision applications, Azure AI Vision service capabilities, and implementation of image analysis, object detection, OCR, and fac...
Azure AI Development Tools and Environment
Understanding Azure AI development tools, SDKs, APIs, Azure AI Studio, and integration methods for building AI applications
Machine Learning Fundamentals and Types
Understanding core machine learning concepts, algorithms, and different learning paradigms including supervised, unsupervised, and reinforcement learn...
Natural Language Processing Workloads and Azure AI Language Service
Understanding NLP applications, Azure AI Language service capabilities, sentiment analysis, entity recognition, key phrase extraction, and language un...
Microsoft Certified Azure AI Fundamentals - Resources and Communities
Comprehensive guide to learning resources, community support, documentation, and continuing education for Azure AI technologies