Developing AI Agents Using Azure OpenAI and the Semantic Kernel SDK (AZ-2005)
Introduction to the Training
Developing AI Agents Using Azure OpenAI and the Semantic Kernel SDK (AZ-2005) is a unique opportunity to deepen your skills in artificial intelligence. This training is designed to help you master the essential tools and techniques for creating high-performing and innovative AI agents. You will learn to understand and use the concepts of the semantic kernel, develop plug-ins, and give your agents native skills, among other things.
The Importance of the Semantic Kernel
The semantic kernel is a central element in creating effective AI agents. Understanding its operation and applications is crucial for any developer. You will discover how to generate your own kernel, create endpoints, and use kernel objects to enhance your projects.
Creating and Using Plug-ins
One of the key aspects of this training is learning to create and use plug-ins. Plug-ins are extensions that allow you to add specific functionalities to your AI agent. You will explore the plug-ins built into the SDK, learn to optimize language model prompts, and save prompts to files. These skills are essential for customizing and improving your agent’s performance.
AI Agent Skills
To make your AI agents more effective, it is essential to give them native skills. This training will guide you through the creation of native functions, enabling you to integrate specific skills directly into your agents. You will also understand how to combine these functions with prompts to create more natural and intuitive interactions.
Intelligent Planners
AI planners play a crucial role in managing automated tasks and workflows. You will learn to use and optimize these planners to improve the responsiveness and efficiency of your agents. Creating and using plan models will allow you to automate complex functions and proactively meet the specific needs of your users.
Practical Project: AI Travel Agent
The training culminates with a guided project where you will apply your knowledge to create an AI travel agent. This practical project will enable you to implement everything you have learned, from project preparation to providing context indicators. You will create a currency converter, route user intent, and use context indicators to enhance the user experience.
FAQ and SEO Answers
What are the benefits of using Azure OpenAI for AI agent development?
Azure OpenAI offers a robust and flexible platform for developing AI agents. Its natural language processing capabilities and integration with various cloud services allow for the creation of intelligent and scalable solutions.
How does the Semantic Kernel SDK facilitate AI agent development?
The Semantic Kernel SDK simplifies development by providing pre-configured tools and libraries. This allows developers to focus on creating specific functionalities rather than the technical aspects of AI.
Why learn to develop plug-ins for AI agents?
Plug-ins add customized functionalities to your AI agents, enhancing their ability to meet specific needs. They also extend the core capabilities of the agents without modifying the main source code.
How can AI planners improve the efficiency of my agents?
AI planners automate task management, optimizing response times and operational efficiency of your agents. They enable proactive planning and quick responses to user requests.
By following this training Developing AI Agents Using Azure OpenAI and the Semantic Kernel SDK (AZ-2005), you will gain an in-depth understanding of the techniques and tools necessary to develop advanced and customized AI agents. You will be ready to integrate these skills into your professional projects and innovate in the field of artificial intelligence.