Course curriculum

    1. Overview

    2. What you'll learn

    3. Generative AI & Prompt Engineering

    4. Types of Generative AI

    5. Copilot

    6. Examples

    7. Demonstration

    8. Code & Image Generation

    9. Quick overview of Azure

    10. Key takeways

    11. Wide selection of Models

    12. Generative AI types

    13. Natural Language Generation

    14. Image Generation

    15. Code Generation

    16. Examples

    1. Introduction

    2. Overview

    3. OpenAI Review

    4. Natural Language Generation

    5. Generative AI Problem

    6. Connecting VSCODE

    7. Demonstration Introduction

    8. Create Azure OpenAI Resource

    9. Navigate to Azure AI Foundry

    10. Deploy GPT Model

    11. GPT Model Details and Metrics

    12. Navigating to OpenAI Keys and Endpoints

    13. Package Installation

    14. Environment File

    15. Retrieve Environment Variables

    16. Retrieving Environment Variables Cont.

    17. Initialize GPT Model

    18. Model Completion Request

    19. Model Completion Output

    20. Deployed Website

    1. Overview

    2. What you'll learn

    3. Responsible AI solution

    4. Identify issues

    5. Measure for potential harms

    6. Mitigate potential harms

    7. Successful release

    8. Examples

    9. Navigate to AI Studio

    10. Prompt negative tone queries

    11. Content Filters

    12. Attach to model

    1. Usage Guidelines

    2. Create Resource

    3. Navigate to AI Studio

    4. Deploy Model

    5. Perform Natural Language Interaction

    6. Image Generation Model

    7. Code Generation examples

    8. Congratulations on completing this course!

About this course

  • $850.00
  • 4 Modules
  • 12 hours of learning content

Course Highlights

  • Unlock the power of Generative AI to create art, music, and innovative digital content

  • Experiment with state-of-the-art tools like GPT-4 and DALL·E 3 via Azure OpenAI Studio

  • Learn to design and build AI-powered creative applications from the ground up

  • Explore ethical implications and responsible use of AI in creative work

  • Self-paced, online learning with weekly live support sessions

  • Understand and apply different generative model types in real-world creative contexts