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Course Overview

The Azure OpenAI in Power Platform Training Program is a comprehensive, industry-focused program designed to help professionals build intelligent, AI-powered business applications by integrating Azure OpenAI Services with Microsoft Power Platform. This training provides practical knowledge of Generative AI, Prompt Engineering, AI-powered automation, Copilot experiences, and enterprise AI solution development using Power Apps, Power Automate, Copilot Studio, and Dataverse.

Participants will gain hands-on experience in creating intelligent applications that leverage Large Language Models (LLMs) to automate processes, generate insights, enhance user experiences, and solve real-world business challenges. The program focuses on enterprise implementation, security, scalability, and best practices for building production-ready AI solutions.

Audience

This program is ideal for:

  • Power Platform Developers and Consultants

  • Power Apps and Power Automate Developers

  • Dynamics 365 CE Functional and Technical Consultants

  • Software Developers and Solution Architects

  • Business Analysts and Process Automation Specialists

  • Cloud Engineers and Technology Enthusiasts

  • Students and Fresh Graduates aspiring to build AI skills

  • Working Professionals looking to upskill in Generative AI and Microsoft technologies

Pre-Requisites

No prior AI experience is mandatory. However, the following knowledge will be beneficial:

  • Basic understanding of Microsoft Power Platform

  • Familiarity with Power Apps and Power Automate concepts

  • Understanding of business processes and workflow automation

  • Basic knowledge of APIs and connectors

  • Understanding of Dataverse and data management concepts

  • Interest in Artificial Intelligence and Generative AI technologies

Key Learning Outcomes

Upon completion of this training, participants will be able to:

  • Understand Azure OpenAI fundamentals and Generative AI concepts

  • Integrate Azure OpenAI Services with Microsoft Power Platform

  • Build AI-powered Canvas Apps and Model-Driven Apps

  • Create intelligent workflows using Power Automate and Azure OpenAI

  • Design and implement effective Prompt Engineering techniques

  • Develop AI-powered chatbots using Copilot Studio

  • Generate dynamic content, summaries, and recommendations using AI

  • Implement document processing and knowledge-based AI solutions

  • Build conversational AI experiences for business applications

  • Integrate enterprise data with Large Language Models (LLMs)

  • Apply security, governance, and Responsible AI principles

  • Design scalable and production-ready AI-powered business solutions

  • Develop real-world projects suitable for professional portfolios and enterprise implementations

Training Highlights

✔ Instructor-Led Live Interactive Sessions
✔ Industry-Oriented and Updated Curriculum
✔ Hands-On Labs and Real-Time Use Cases
✔ End-to-End AI Solution Development
✔ Azure OpenAI and Power Platform Integration Scenarios
✔ Prompt Engineering and AI Automation Techniques
✔ AI-Powered Power Apps and Power Automate Projects
✔ Copilot and Conversational AI Development
✔ Session Recordings and Learning Resources
✔ Certificate of Completion
✔ Resume Building and Interview Preparation Guidance
✔ Placement Assistance and Career Support

Why Choose This Training?

The Azure OpenAI in Power Platform Training Program goes beyond theoretical concepts by focusing on practical implementation and enterprise use cases. Participants will learn how to combine the capabilities of Generative AI with the flexibility of Power Platform to build intelligent applications, automate complex business processes, and deliver exceptional digital experiences. By the end of this program, learners will possess the skills required to design, develop, and deploy AI-powered business solutions that meet modern enterprise demands.

Module 1: Introduction to Generative AI and Azure OpenAI (2 Hours)

Topics Covered

  • Introduction to Artificial Intelligence and Generative AI
  • Evolution of Large Language Models (LLMs)
  • Introduction to Azure OpenAI Service
  • Azure OpenAI Architecture and Components
  • Understanding GPT Models and Capabilities
  • Business Applications of Generative AI
  • AI-Powered Application Development with Power Platform

Hands-On

  • Azure Environment Setup
  • Azure OpenAI Resource Creation
  • Explore GPT Models and Capabilities
  • Generate Sample AI Responses

Module 2: Azure OpenAI Fundamentals (3 Hours)

Topics Covered

  • Azure OpenAI Service Overview
  • GPT Models and Model Selection
  • Token Management Concepts
  • Model Parameters and Configurations
  • API Authentication and Security
  • Responsible AI Principles
  • Enterprise AI Development Lifecycle

Hands-On

  • Configure Azure OpenAI Resources
  • Create Model Deployments
  • Test API Endpoints
  • Implement Authentication Mechanisms

Module 3: Prompt Engineering Fundamentals (3 Hours)

Topics Covered

  • Introduction to Prompt Engineering
  • Prompt Design Principles
  • Zero-Shot Prompting
  • Few-Shot Prompting
  • Chain-of-Thought Prompting
  • Prompt Templates and Reusability
  • Prompt Optimization and Best Practices
  • Prompt Security and Safety

Hands-On

  • Create Dynamic Prompts
  • Design Business Prompt Templates
  • Optimize AI Responses
  • Implement Context-Based Prompting

Module 4: Azure OpenAI Integration with Power Platform (4 Hours)

Topics Covered

  • Integrating Azure OpenAI with Power Platform
  • Authentication and Security Models
  • REST APIs and Custom Connectors
  • Dataverse Integration
  • Power Platform AI Architecture
  • Enterprise Integration Patterns
  • AI Solution Design Principles

Hands-On

  • Create Custom Connectors
  • Integrate Azure OpenAI with Power Apps
  • Connect Dataverse with AI Services
  • Build Reusable AI Components

Module 5: AI-Powered Canvas App Development (4 Hours)

Topics Covered

  • Designing Intelligent Canvas Applications
  • Natural Language User Experiences
  • Dynamic Content Generation
  • AI-Powered Search Experiences
  • Intelligent Recommendations
  • Data Summarization and Insights
  • Application Performance Optimization

Hands-On

  • Build AI-Powered Content Generator
  • Create Smart Search Application
  • Develop Text Summarization Screen
  • Implement Personalized Recommendations

Module 6: AI Automation with Power Automate (3 Hours)

Topics Covered

  • Introduction to AI-Powered Automation
  • Integrating Azure OpenAI with Power Automate
  • Automated Content Generation
  • Intelligent Email Generation
  • Document Summarization
  • Business Workflow Automation
  • Approval Automation Scenarios

Hands-On

  • Build AI-Based Email Generator
  • Create Automated Summarization Flow
  • Develop AI Notification System
  • Implement Intelligent Approval Process

Module 7: Dataverse and Enterprise Data Integration (2 Hours)

Topics Covered

  • Dataverse Fundamentals
  • AI and Enterprise Data Integration
  • Data Retrieval and Storage Strategies
  • Context Management
  • Knowledge-Based Applications
  • Data Security and Governance

Hands-On

  • Build Dataverse Tables
  • Store AI Conversations
  • Create Data Retrieval Flows
  • Implement Context Management

Module 8: Copilot and Conversational AI Development (3 Hours)

Topics Covered

  • Introduction to Conversational AI
  • Copilot Concepts and Architecture
  • AI-Powered Chat Experiences
  • Knowledge-Based Conversations
  • Power Platform and Copilot Integration
  • Enterprise Chatbot Design Patterns
  • Conversational Experience Best Practices

Hands-On

  • Build AI-Powered Chatbot
  • Create Business Copilot Assistant
  • Implement Knowledge Search
  • Integrate Chatbot with Dataverse

Module 9: AI Agents and Intelligent Business Applications (3 Hours)

Topics Covered

  • Introduction to AI Agents
  • Agentic AI Concepts
  • Intelligent Task Automation
  • Multi-Step Business Workflows
  • Decision Support Systems
  • Enterprise Use Cases
  • AI-Powered Productivity Solutions

Hands-On

  • Build AI Task Assistant
  • Create Intelligent Business Agent
  • Implement Workflow Automation
  • Develop Productivity Assistant

Module 10: Security, Governance and Capstone Project (3 Hours)

Topics Covered

  •  Azure OpenAI Security Concepts
  • Authentication and Authorization
  • Data Privacy and Compliance
  • Responsible AI Implementation
  • Cost Management and Optimization
  • Monitoring and Performance Management
  • Enterprise Deployment Best Practices