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 Duration 14 hours

Course Outline

Introduction to AI and Generative AI

  • The fundamentals of AI and its influence on technology
  • An overview of Generative AI basics and their applications

Deploying the Azure OpenAI Service

  • Setting up an Azure OpenAI account
  • Reviewing Azure OpenAI quotas, pricing structures, and policies

Utilizing 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 deploying models through Postman and Python APIs
  • An introduction to ChatGPT and Prompt Engineering techniques

Advanced AI Techniques

  • Optimizing AI models for specific tasks
  • Creating images using DALL-E studio
  • Implementing and deploying text embeddings
  • Enhancing model interaction through advanced Prompt Engineering

Combining AI Models

  • Integrating text, image, and audio models for comprehensive applications
  • Translating audio to text and generating content using Whisper AI

Securing and Optimizing AI Implementations

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

Project: Developing AI-Powered Solutions

  • Building a web application that leverages Azure OpenAI models
  • Unifying various AI features into a seamless system

Requirements

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

Target Audience

  • AI developers
  • AI enthusiasts

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