This unit covers advanced Azure AI concepts and enterprise agent design, including Microsoft Copilot agents, Azure OpenAI, Cognitive Services, and orchestration building blocks. Students will explore machine learning, computer vision, NLP, generative AI, responsible AI practices, and cross‑industry use cases while preparing for Azure AI Fundamentals exam essentials.
Learning Objectives
- Analyze the core components and architectures of AI agents and explain how Azure services (Azure OpenAI Service, Cognitive Services, and agent orchestration tools) interact to design and deploy enterprise agents
- Apply Azure AI tools and workloads (machine learning, computer vision, natural language processing, generative AI) to map and propose solution sketches for industry-specific use cases in healthcare, finance, retail, manufacturing, education, and customer service
- Demonstrate responsible AI and governance practices in Azure-based solutions by implementing privacy, security, bias mitigation, and compliance considerations for agent deployments
- Evaluate cross-industry patterns, best practices, and enterprise capabilities to recommend deployment strategies and summarize exam essentials to prepare for the Microsoft Certified: Azure AI Fundamentals assessment
Curriculum
- 1 Section
- 33 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 4 — AI Agents and Industry Applications33
- 1.1Review Questions20 mins
- 1.2Introduction to AI Agents20 mins
- 1.3Core Components of AI Agents20 mins
- 1.4Microsoft Copilot Agents20 mins
- 1.5Building Blocks of Azure AI Agents20 mins
- 1.6Enterprise AI Agent Capabilities20 mins
- 1.7Summary20 mins
- 1.8Exam Essentials20 mins
- 1.9Review Questions20 mins
- 1.10Why Industry Context Matters20 mins
- 1.11AI in Healthcare20 mins
- 1.12AI in Retail and e-Commerce20 mins
- 1.13AI in Finance and Banking20 mins
- 1.14AI in Manufacturing and Industry 4.020 mins
- 1.15AI for Customer Service and Virtual Assistants20 mins
- 1.16AI in Education and Learning Platforms20 mins
- 1.17Cross-Industry Patterns and Best Practices20 mins
- 1.18Summary20 mins
- 1.19Exam Essentials20 mins
- 1.20Review Questions20 mins
- 1.21Overview of AI Concepts and Workloads20 mins
- 1.22Responsible AI in Azure20 mins
- 1.23Core Concepts of AI Models and Solutions20 mins
- 1.24Introduction to Machine Learning Concepts20 mins
- 1.25Machine Learning in Azure20 mins
- 1.26Introduction to Computer Vision20 mins
- 1.27Azure Tools for Computer Vision20 mins
- 1.28Introduction to Natural Language Processing (NLP)20 mins
- 1.29Azure Tools for NLP Workloads20 mins
- 1.30Introduction to Generative AI20 mins
- 1.31Azure OpenAI Service20 mins
- 1.32AI Agents in Azure20 mins
- 1.33AI Use Cases and Industry Applications20 mins
Instructor
Free
Leave a Reply