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Course Outline

Introduction to AI and Generative AI

  • The basics of AI and its influence on technology
  • An overview of Generative AI principles and use cases

Deploying Azure OpenAI Services

  • Creating an Azure OpenAI account
  • Reviewing Azure OpenAI quotas, costs, and policies

Using Azure OpenAI Studio

  • Exploring the Azure OpenAI Studio interface
  • Managing and deploying Large Language Models (LLMs)

Integrating AI Models into Applications

  • Testing models using the Playground feature
  • Accessing and launching models through Postman and Python APIs
  • An introduction to ChatGPT and Prompt Engineering methods

Advanced AI Techniques

  • Optimizing AI models for specific tasks
  • Creating images using the DALL-E studio
  • Comprehending and implementing text embeddings
  • Refining Prompt Engineering skills for better model interaction

Combining AI Models

  • Merging text, image, and audio models for comprehensive applications
  • Converting and generating text from audio using Whisper AI

Securing and Optimizing AI Solutions

  • Applying security protocols to AI-driven chatbots
  • Leveraging content filters to ensure data integrity

Project: Developing AI-Powered Solutions

  • Constructing a web application that utilizes Azure OpenAI models
  • Integrating varied AI features into a unified system

Requirements

  • Familiarity with cloud computing platforms
  • Proficiency in Python programming
  • No previous experience in AI is necessary

Target Audience

  • AI developers
  • AI enthusiasts
 14 Hours

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