Course Overview
This Azure Agentic AI training is designed to help learners understand how to build intelligent AI agents using Microsoft Azure services and modern AI technologies. The course covers agent architecture, prompt engineering, Retrieval-Augmented Generation (RAG), AI orchestration, tool integration, memory management, Azure AI services, and deployment strategies. Through practical demonstrations and project-based learning, participants will create enterprise-grade AI agents capable of automating business processes, interacting with external systems, and delivering context-aware responses.
Audience
This training is suitable for:
Students and fresh graduates interested in AI development
Software developers and full-stack engineers
.NET, Java, Python, and JavaScript developers
Cloud and Azure professionals
Data engineers and AI enthusiasts
Solution architects and technical leads
IT professionals looking to implement AI-powered automation
Organizations planning to adopt Agentic AI solutions
Pre-requisites
Basic understanding of programming concepts (Python, C#, or JavaScript preferred)
Familiarity with REST APIs and JSON
Basic knowledge of cloud computing fundamentals
Understanding of databases and web applications
Access to an Azure subscription for hands-on exercises (recommended)
Interest in Generative AI and Large Language Models (LLMs)
No prior experience with Agentic AI is required, as concepts are introduced from the fundamentals before progressing to advanced implementations.
Key Benefits
By the end of this training, participants will be able to:
Understand the fundamentals and architecture of Agentic AI systems
Build autonomous AI agents using Azure AI services
Integrate Large Language Models with enterprise applications and APIs
Implement Retrieval-Augmented Generation (RAG) using enterprise knowledge sources
Enable AI agents to use tools, workflows, and external services to accomplish tasks
Design multi-step reasoning and decision-making workflows for AI agents
Develop secure, scalable, and production-ready AI solutions on Azure
Gain hands-on experience through real-world projects and case studies
Learn best practices for prompt engineering, orchestration, and responsible AI
Enhance career opportunities in AI engineering, cloud development, and intelligent automation domains
Curriculam
Azure Agentic AI for Power Platform – 20-Hour Curriculum
Module 1: Introduction to Azure Agentic AI (2 Hours)
- Overview of Agentic AI and autonomous agents
- Azure AI ecosystem and Power Platform integration
- Business use cases and solution architecture
Module 2: Azure AI Foundry & Agent Fundamentals (2 Hours)
- Introduction to Azure AI Foundry
- Agent capabilities, tools, memory, and orchestration
- Agent lifecycle and planning
Module 3: Prompt Engineering for AI Agents (2 Hours)
- Writing effective prompts and system instructions
- Context management and structured outputs
- Best practices for reliable agent behavior
Module 4: Agentic AI with Power Apps (3 Hours)
- Integrating AI agents into Power Apps
- Connecting with Dataverse
- Building intelligent user experiences
Module 5: Agentic Automation with Power Automate (3 Hours)
- Calling AI agents from flows
- Automating approvals and business processes
- Intelligent document and email handling
Module 6: Copilot Studio and Custom AI Agents (3 Hours)
- Creating custom copilots and AI agents
- Integrating enterprise knowledge sources
- Connecting with Power Automate and Dataverse
Module 7: Azure AI Services Integration (2 Hours)
- Using Azure OpenAI and Azure AI services
- REST APIs and custom connectors
- Security, governance, and responsible AI
Module 8: Hands-on Capstone Project (3 Hours)
- Build an AI-powered service assistant using Power Apps, Power Automate, Dataverse, Azure AI, and Copilot Studio to automate requests, generate responses, and streamline business operations.
Total Duration: 20 Hours
