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Course Outline

Foundations of AI and Generative AI

  • Core principles of AI and its influence on the tech sector
  • An introduction to the basics of Generative AI and its use cases

Deploying the Azure OpenAI Service

  • Initialization of an Azure OpenAI account
  • Overview of Azure OpenAI quotas, cost structures, and regulatory policies

Operating within Azure OpenAI Studio

  • Interface navigation and exploration within Azure OpenAI Studio
  • Management and deployment of Large Language Models (LLMs)

Embedding AI Models into Applications

  • Utilizing the Playground environment for model validation
  • Accessing and deploying models through Postman and Python APIs
  • Overview of ChatGPT and strategies for Prompt Engineering

Advanced AI Methodologies

  • Refining AI models for specialized operational tasks
  • Image generation capabilities using the DALL-E studio
  • Concepts of text embeddings and their deployment
  • Advanced techniques in Prompt Engineering for optimized model interaction

Combining AI Model Capabilities

  • Synthesizing text, image, and audio models for comprehensive applications
  • Audio-to-text translation and generation using Whisper AI

Enhancing Security and Optimization in AI

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

Project: Creating AI-Driven Solutions

  • Architecting a web application powered by Azure OpenAI models
  • Integrating multiple AI features into a unified, coherent 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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