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Course Overview

The Azure AI Foundry Training Program is a comprehensive, industry-oriented learning experience designed to help professionals build, customize, and deploy intelligent AI-powered applications using Microsoft Azure AI services. This program provides in-depth knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Agents, Retrieval-Augmented Generation (RAG), and enterprise AI application development.

Participants will gain hands-on experience in designing, developing, and deploying secure and scalable AI solutions using Azure AI Foundry, while learning industry best practices for responsible AI implementation and enterprise-grade architecture.

Audience

This program is ideal for:

  • Students and Fresh Graduates aspiring to build careers in Artificial Intelligence

  • Software Developers and Full-Stack Developers

  • Power Platform and Low-Code Developers

  • Data Engineers and Data Analysts

  • Cloud Engineers and Solution Architects

  • AI and Machine Learning Enthusiasts

  • Business Analysts and Technical Consultants

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

Pre-Requisites

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

  • Basic understanding of computer programming concepts

  • Familiarity with cloud computing fundamentals

  • Basic knowledge of APIs and web technologies

  • Understanding of databases and data handling concepts

  • Interest in Artificial Intelligence and Generative AI technologies

  • Willingness to learn and build intelligent applications

Key Learning Outcomes

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

  • Understand Azure AI Foundry architecture and capabilities

  • Build and deploy Generative AI applications on Azure

  • Work with Large Language Models (LLMs) and Foundation Models

  • Design effective prompts using Prompt Engineering techniques

  • Develop AI-powered chatbots and conversational applications

  • Implement Retrieval-Augmented Generation (RAG) solutions

  • Integrate enterprise data sources with AI applications

  • Build intelligent AI Agents and automated workflows

  • Apply Responsible AI principles and security best practices

  • Deploy scalable, secure, and production-ready AI solutions

  • Create real-world AI projects suitable for professional portfolios

  • Prepare for AI-focused roles and enterprise implementation projects

Training Highlights

✔ Instructor-Led Live Interactive Sessions
✔ Industry-Oriented and Updated Curriculum
✔ Hands-On Labs and Practical Exercises
✔ Real-Time AI Project Development
✔ End-to-End Generative AI Application Development
✔ Azure AI Services and Foundry Implementation
✔ AI Agent and RAG Solution Development
✔ Session Recordings and Learning Materials
✔ Resume Building and Interview Preparation Guidance
✔ Certificate of Completion
✔ Placement Assistance and Career Support

Why Choose This Training?

The Azure AI Foundry Training Program focuses on practical implementation and real-world enterprise scenarios rather than theory alone. Learners gain hands-on experience in building modern AI applications, integrating enterprise data, developing intelligent agents, and deploying production-ready solutions on Microsoft Azure. By the end of the program, participants will possess the skills and confidence required to design and deliver next-generation AI solutions for businesses across industries.

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

Topics Covered

  • Introduction to Artificial Intelligence and Generative AI
  • Evolution of Large Language Models (LLMs)
  • Overview of Azure AI Foundry
  • Azure AI Foundry Architecture and Components
  • Understanding Foundation Models and AI Capabilities
  • Azure AI Services Overview
  • AI-Powered Business Application Scenarios with Power Platform

Hands-On

  • Azure Subscription Setup
  • Azure AI Foundry Environment Setup
  • Creating AI Projects and Workspaces
  • Exploring Azure AI Foundry Portal

Module 2: Azure AI Foundry Fundamentals (3 Hours)

Topics Covered

  • Azure AI Foundry Projects and Resource Management
  • Model Catalog and Model Selection
  • Foundation Models and Capabilities
  • Model Deployment Concepts
  • AI Service Provisioning
  • AI Development Lifecycle
  • Responsible AI Principles

Hands-On

  • Create Azure AI Project
  • Explore Model Catalog
  • Configure AI Resources
  • Deploy and Test Foundation Models

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
  • Context Management
  • Prompt Optimization Techniques
  • Prompt Security and Best Practices

Hands-On

  • Create Business Prompts
  • Design Dynamic Prompts
  • Implement Prompt Templates
  • Optimize Prompt Responses

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

Topics Covered

  • Azure OpenAI Service Overview
  • Integrating Azure OpenAI with Power Platform
  • Authentication and Security
  • REST APIs and Custom Connectors
  • Dataverse Integration
  • Power Platform AI Architecture
  • Enterprise Integration Patterns

Hands-On

  • Configure Azure OpenAI Service
  • Create Custom Connectors
  • Connect Power Apps with Azure AI
  • Build AI Integration Workflows

Module 5: AI-Powered Power Apps Development (4 Hours)

Topics Covered

  • Designing AI-Powered Canvas Apps
  • Building Intelligent User Experiences
  • Dynamic Content Generation
  • AI-Based Recommendations
  • Natural Language Interaction
  • Data-Driven Decision Support
  • Application Performance Optimization

Hands-On

  • Build AI-Powered Content Generator
  • Create Intelligent Search Application
  • Implement Natural Language Input Features
  • Develop Personalized Recommendation Screens

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

Topics Covered

  • Introduction to AI Automation
  • AI-Driven Cloud Flows
  • Automated Content Generation
  • Intelligent Document Processing
  • Business Process Automation
  • Notification and Approval Automation
  • Enterprise Workflow Integration

Hands-On

  • Build AI-Powered Email Generator
  • Create Document Summarization Flow
  • Automate Business Notifications
  • Build Approval Automation Scenarios

Module 7: Retrieval-Augmented Generation (RAG) and Knowledge Integration (3 Hours)

Topics Covered

  • Introduction to Retrieval-Augmented Generation (RAG)
  • Enterprise Knowledge Management
  • Data Indexing and Retrieval Concepts
  • Azure AI Search Fundamentals
  • Knowledge Grounding Techniques
  • Context-Aware AI Responses
  • Enterprise Use Cases

Hands-On

  • Create Knowledge Repository
  • Configure Azure AI Search
  • Build Intelligent Knowledge Assistant
  • Implement RAG-Based Information Retrieval

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

Topics Covered

  • Introduction to Agentic AI
  • AI Agent Architecture
  • Copilot Concepts and Capabilities
  • Multi-Step Agent Workflows
  • Conversational AI Experiences
  • Enterprise Automation Scenarios
  • Agent Orchestration Techniques

Hands-On

  • Build Intelligent AI Agent
  • Create Conversational Assistant
  • Integrate Agent with Power Automate
  • Build Task Automation Scenarios

Module 9: Security, Governance and Responsible AI (2 Hours)

Topics Covered

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

Hands-On

  • Configure Security Settings
  • Implement Governance Policies
  • Monitor AI Usage and Performance
  • Optimize AI Resource Utilization

Module 10: Capstone Project – End-to-End AI Solution Development (3 Hours)

Project Objective

Develop an enterprise-grade AI-powered business application using Azure AI Foundry and Power Platform.

Project Deliverables

✔ Azure AI Foundry Project Setup
✔ Foundation Model Deployment
✔ Prompt Engineering Implementation
✔ Power Apps Integration with Azure AI
✔ AI-Powered Workflow Automation
✔ Intelligent Knowledge Assistant using RAG
✔ Conversational AI Agent Development
✔ Dataverse Integration
✔ Security and Governance Implementation
✔ End-to-End Solution Deployment and Demonstration