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 Duration 14 hours

Course Outline

Foundations of AI and Generative AI

  • Core principles of AI and its influence on technology
  • Overview of Generative AI basics and its real-world applications

Deploying Azure OpenAI Services

  • Initializing an Azure OpenAI account
  • Reviewing Azure OpenAI quotas, pricing models, and policies

Utilizing Azure OpenAI Studio

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

Incorporating AI Models into Applications

  • Using the Playground for model experimentation
  • Retrieving and deploying models through Postman and Python APIs
  • Overview of ChatGPT and Prompt Engineering methods

Advanced AI Methodologies

  • Adapting AI models for specific tasks
  • Creating visuals with the DALL-E studio
  • Grasping and deploying text embeddings
  • Perfecting Prompt Engineering for optimal model interaction

Combining AI Models

  • Merging text, image, and audio models for comprehensive solutions
  • Converting audio to text and generating text using Whisper AI

Securing and Enhancing AI Deployments

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

Project: Developing AI-Driven Solutions

  • Architecting 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 previous AI experience is necessary

Target Audience

  • AI developers
  • Enthusiasts interested in AI

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