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Course Outline

Introduction to AI and Generative AI

  • The basics of AI and its influence on technology
  • Exploring the fundamentals of Generative AI and its uses

Deploying Azure OpenAI Services

  • Establishing an Azure OpenAI account
  • Understanding Azure OpenAI quotas, pricing models, and policies

Using Azure OpenAI Studio

  • Navigating the Azure OpenAI Studio interface
  • Deploying and managing Large Language Models (LLMs)

Integrating AI Models into Applications

  • Utilising the Playground for testing models
  • Accessing and deploying models via Postman and Python APIs
  • Overview of ChatGPT and Prompt Engineering methods

Advanced AI Techniques

  • Customising AI models for specific tasks
  • Creating images using DALL-E studio
  • Understanding and deploying text embeddings
  • Refining Prompt Engineering for optimal model interaction

Combining AI Models

  • Merging text, image, and audio models for robust applications
  • Transcribing and generating text from audio using Whisper AI

Securing and Optimising AI Implementations

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

Project: Developing AI-Powered Solutions

  • Designing a web application that leverages Azure OpenAI models
  • Incorporating varied AI capabilities into a unified system

Requirements

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

Audience

  • AI developers
  • AI enthusiasts
 14 Hours

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