What’s Included?

icon High-Quality Video, E-book & Audiobook icon Module Quizzes icon AI Mentor icon Access for Tablet & Phone

Prerequisites

    • Familiarity with fundamental AI concepts and Azure services
    • Programming experience (e.g., Python, C#)
    • Understanding of model deployment and API integration
    • Access to Azure AI Foundry portal

Skills You’ll Gain

  • Generative AI Development
  • Azure AI Tools
  • Language Model Fine-Tuning
  • Model Deployment Strategy
  • RAG Implementation Techniques
  • Custom Data Integration
  • Prompt Flow Usage
  • Model Performance Evaluation

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Tools You’ll Master

Visual Studio Code

Visual Studio Code

Azure Portal

Azure Portal

Azure AI Foundry Portal

Azure AI Foundry Portal

Prompt Flow

Prompt Flow

What You’ll Learn

Prepare for AI Development

Plan and set up generative AI workflows.

Deploy and Fine-Tune Models

Use Azure AI Foundry for model customization.

Build with SDK and Prompts

Create apps using SDK and prompt flow tools.

Optimize and Scale AI

Implement RAG and improve performance across workflows.

Course Modules

Lesson 1: Develop generative AI apps in Azure

Module 1: Plan and prepare to develop AI solutions on Azure

Module 2: Choose and deploy models from the model catalog in Azure AI Foundry portal

Module 3: Develop an AI app with the Azure AI Foundry SDK

Module 4: Get started with prompt flow to develop language model apps in the Azure AI Foundry

Module 5: Develop a RAG-based solution with your own data using Azure AI Foundry

Module 6: Fine-tune a language model with Azure AI Foundry

Module 7: Implement a responsible generative AI solution in Azure AI Foundry

Module 8: Evaluate generative AI performance in Azure AI Foundry portal

Frequently Asked Questions

It’s a development platform for building, deploying, and managing generative AI applications using prebuilt and custom models.

Yes, programming experience is required to work with SDKs and APIs.

Retrieval Augmented Generation combines external data sources with language models to improve response accuracy.

Yes, it includes labs and exercises for building real-world generative AI apps.

AI engineers and data scientists developing intelligent applications using Azure’s generative AI capabilities.