AB-731: AI Transformation Leader

About this course

This course contains the use of artificial intelligence.This AB-731 course by Christopher Nett is a meticulously organized Udemy course designed for IT professionals aiming to pass the Microsoft AB-731 exam. This course systematically guides you from the basics to advanced concepts of AI.By mastering Microsoft AI services, you're developing expertise in essential topics in today's IT and business landscape.The course is always aligned with Microsoft's latest study guide and exam objectives:Identify the foundational concepts of generative AIDescribe the differences between generative AI and other types of AISelect a generative AI solution to meet a business needDescribe the differences between AI models, including fine-tuned and pretrained modelsExplain the cost drivers in generative AI usage, including tokens and return-on-investment (ROI) considerationsIdentify the challenges of using generative AI solutions, including fabrications, reliability, and biasIdentify when generative AI solutions can provide business value, including scalability and automationIdentify benefits and capabilities of generative AI solutionsDescribe the impact of prompt engineeringUnderstand techniques of prompt engineeringIdentify business requirements for grounding solutionsUnderstand how retrieval-augmented generation (RAG) is used for AI solutionsUnderstand the impact of data on AI solutions, including data type, data quality, and representative datasetsDescribe the importance of secure AIIdentify scenarios when machine learning adds valueDescribe the lifecycle of a machine learning solutionIdentify security considerations for AI systems, including application security, data security, and authentication requirements</

Course objectives

• equip learners with skills to identify business applications of AI
• prepare students for the Microsoft AB-731 certification exam
• develop understanding of AI models and their lifecycle