Course Description

The AZ‑2005 course by Digitalearn Solution is a comprehensive program designed for developers, AI engineers, and cloud professionals who want to leverage Azure OpenAI and the Semantic Kernel SDK to build intelligent, autonomous AI agents. This course equips learners with the skills to design, develop, and deploy AI solutions that integrate advanced language models with software applications and real-world workflows. Participants gain hands-on experience connecting code to large language models (LLMs), creating intelligent plugins, and automating tasks to build scalable and efficient AI applications.

The course begins with a detailed introduction to Azure OpenAI Services and Generative AI, providing a foundation in core concepts, API usage, and model capabilities. Learners explore how to connect software applications to LLMs to implement natural language understanding for various tasks. Emphasis is placed on combining prompts, functions, and structured workflows to design AI-driven solutions that are practical, adaptable, and robust.

A key focus is the Semantic Kernel SDK, a framework that enables developers to integrate LLMs into applications effectively. Students learn to implement reusable plugins, define functions, manage memory, and orchestrate AI behaviors using intelligent planners. This allows the creation of agents capable of multi-step reasoning, decision-making, and automating complex workflows.

Hands-on labs and projects are integral to the course, ensuring that learners gain practical experience. One core project guides participants through building an AI-powered travel agent, demonstrating the full development lifecycle—from integrating APIs and LLMs to planning, memory, and function orchestration. These exercises reinforce understanding and prepare participants to apply skills to real-world scenarios.

Additional topics include best practices for AI security, monitoring and debugging AI applications, cost management, and optimizing workflows for efficiency and scalability. Advanced concepts such as multi-agent systems, chaining AI functions, and dynamic prompt generation are covered to help learners design flexible and adaptive AI agents.

Upon completion, learners will be able to develop, deploy, and maintain intelligent AI agents on Azure using OpenAI and Semantic Kernel SDK. They will understand how to combine cloud services, AI models, and code to create autonomous applications capable of performing complex tasks, automating processes, and enhancing user experiences. This course not only prepares learners for technical implementation but also empowers them to innovate and leverage AI in professional projects and organizational workflows.

Key Benefits of the AZ‑2005 Course:

• Master Azure OpenAI and Semantic Kernel SDK for AI agent development

• Hands-on labs and real-world projects including an AI travel agent

• Learn multi-step reasoning, planning, and task automation with AI

• Practical skills in integrating plugins, APIs, and AI functions

• Best practices for secure, scalable, and efficient AI solutions

• Preparation for real-world AI development on the Azure platform

This course is ideal for developers, cloud professionals, AI enthusiasts, and anyone looking to accelerate their skills in AI agent development, providing both theoretical knowledge and practical expertise to build intelligent, autonomous applications using the latest AI technologies.