AI-900: Microsoft Azure AI Fundamentals Certification

Gain foundational knowledge in AI and ML and prepare for the Microsoft Azure AI Fundamentals (AI-900) certification exam with this comprehensive course. Learn to build, deploy, and manage AI models effectively using Azure AI services. This course features hands-on demonstrations and practical examples to solidify your understanding.

Section 1: Introduction to AI and the AI-900 Exam

Discover the basics of artificial intelligence (AI) and machine learning (ML). Understand the importance of the AI-900 certification and its requirements. This section covers AI concepts, machine learning model structure, and a detailed breakdown of exam prerequisites.

Section 2: AI Workloads and Responsible AI Considerations

Explore common AI workloads and Microsoft's principles for responsible AI. Learn about crucial considerations like AI privacy, AI security, AI transparency, and AI accountability. We'll introduce official Microsoft AI resources to promote best practices in ethical AI development.

Section 3: Machine Learning Types and Core Components

Delve into machine learning types, including supervised learning, unsupervised learning, and reinforcement learning. Understand dataset features and labels, training and validation datasets, and key evaluation metrics such as FPR (false positive rate) and AUC (area under the curve).

Section 4: No-Code Machine Learning with Azure

Unlock the power of no-code machine learning with Azure AutoML and Azure ML Designer. This section provides practical demos showing you how to create an Azure ML workspace, build no-code models using AutoML, and design streamlined AI development workflows with ML Designer.

Section 5: Computer Vision Workloads on Azure

Learn the fundamentals of computer vision and explore common workloads like object detection, image classification, and face recognition. Discover Azure's computer vision services and custom vision capabilities for developing tailored computer vision solutions.

Section 6: Natural Language Processing (NLP) on Azure

Focus on natural language processing (NLP) workloads and Azure's NLP services. Learn to utilize tools for text analytics, language understanding, and translation to create AI applications that process and analyze human language.

Section 7: Conversational AI on Azure

Explore conversational AI workloads such as chatbots and virtual assistants. This section introduces Azure's conversational AI services, empowering you to design and deploy engaging conversational interfaces.

Section 8: Conclusion

Review key AI and ML concepts covered throughout the course. Gain clarity on next steps for further AI exploration using Microsoft Azure services and resources.

By completing this course, you'll develop a strong foundational understanding of AI and machine learning, Azure AI services, and practical skills for building and managing AI solutions. This prepares you to confidently take the AI-900 certification exam and begin your career in AI.