Unable to find what you're searching for?
We're here to help you find itUnlock the potential of AI development with our AZ-2005: Develop AI Agents using Azure OpenAI and Semantic Kernel course. This 1-day intensive training immerses you in the practical use of the Semantic Kernel SDK to craft intelligent applications that excel in Natural language processing and task automation.
Through hands-on modules, you'll Build and optimize your kernel, Create custom plugins, and enhance your AI agent's skills. The course also covers practical methods for Combining prompts and functions, employing Intelligent planners, and concludes with a guided project to create an advanced AI travel agent.
Ideal for C# programmers familiar with Azure and Visual Studio Code, this course equips you with the expertise to develop cutting-edge AI solutions.
Purchase This Course
USD
View Fees Breakdown
| Course Fee | 575 |
|
Total Fees |
575 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Sure, here are the minimum required prerequisites for successfully undertaking the AZ-2005: Develop AI Agents using Azure OpenAI and Semantic Kernel course:
Prerequisites:
These prerequisites ensure that you have the fundamental knowledge and tools to maximize your learning experience in this course. If you meet these requirements, you will be well-prepared to effectively learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.
Introduction:
The AZ-2005 course teaches IT professionals to develop AI agents using Azure OpenAI and Semantic Kernel, focusing on automating tasks and natural language processing.
Job Roles/Audience:
In the AZ-2005: Develop AI Agents using Azure OpenAI and Semantic Kernel course, you will learn how to build intelligent applications that automate tasks and perform natural language processing using the Semantic Kernel SDK, within a single day.
Understand the purpose of Semantic Kernel: Learn the fundamental role and capabilities of the Semantic Kernel in building intelligent AI agents.
Master prompting basics: Gain knowledge on how to create effective prompts to interact with AI models proficiently.
Create effective prompts: Develop techniques to enhance the performance and accuracy of your prompts for better AI interactions.
Utilize Semantic Kernel plugins: Understand the functionality of premade plugins and how to incorporate them into your applications.
Develop custom plugins: Learn to design and implement your own plugins to extend the capabilities of the Semantic Kernel.
Implement native function skills: Grasp the concept of native functions within the Semantic Kernel SDK and how to create them.
Combine prompts with native functions: Discover how to integrate prompts and native functions to create more intelligent and dynamic AI responses.
Optimize and use planners: Understand and optimize the use of planners in the Semantic Kernel
