AZ-2005: Develop AI Agents using Azure OpenAI and Semantic Kernel

Course Prerequisites

• Familiarity with Azure cloud services and Azure Machine Learning.
• Basic understanding of AI development concepts, including machine learning, natural language processing (NLP), and neural networks.
• Experience with programming languages such as Python, C#, or JavaScript (preferred).
• Familiarity with Azure Cognitive Services and RESTful APIs will be beneficial.
• While no advanced AI experience is required, knowledge of basic AI concepts and cloud computing will be helpful.

Learning Objectives

By the end of the AZ-2005: Develop AI Agents using Azure OpenAI and Semantic Kernel course, you will be able to:

1. Understand the architecture of Azure OpenAI and Semantic Kernel, and how they integrate into the Azure AI ecosystem.
2. Develop AI-powered agents using Azure OpenAI, including GPT-based models, to create conversational bots and automated assistants for various applications.
3. Leverage the Semantic Kernel to enable your AI agents to reason, interpret data, and make context-aware decisions.
4. Integrate AI agents with Azure Logic Apps and other Azure services for end-to-end automation, data processing, and workflow orchestration.
5. Implement advanced NLP techniques using Azure OpenAI’s GPT models for improved conversational AI and text analysis.
6. Train, fine-tune, and deploy AI agents using Azure OpenAI and Semantic Kernel, ensuring they can handle complex queries and deliver effective user interactions.
7. Optimize AI agent performance by implementing error handling, monitoring, and continuous learning techniques to improve response accuracy over time.
8. Build AI-driven applications using Azure OpenAI and Semantic Kernel, integrating them with Microsoft Power Automate for task automation and with other platforms for enhanced functionality.
9. Create and manage AI models in Azure Machine Learning Studio, integrating them into real-world applications.
10. Design and implement AI agents that adhere to best practices in data privacy, security, and ethical AI development.

Target Audience

This course is ideal for:

• AI developers and machine learning engineers interested in leveraging Azure OpenAI and Semantic Kernel to create intelligent agents.
• Cloud architects and solution designers who want to understand how to integrate AI agents with cloud-based platforms like Azure.
• Developers looking to build AI-driven applications such as chatbots, virtual assistants, or automated decision-making systems using advanced AI models.
• Data scientists and AI researchers who want to explore and implement Semantic Kernel for building high-quality, scalable AI solutions on Azure.
• AI and cloud professionals interested in automating workflows and enhancing customer experiences through intelligent agents.