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 Duration 14 hours

Course Outline

Introduction to AI and Generative AI

  • Core principles of AI and its transformative impact on the tech sector
  • An overview of Generative AI fundamentals and real-world use cases

Azure OpenAI Service Deployment

  • Configuring an Azure OpenAI account
  • An overview of Azure OpenAI quotas, pricing structures, and policy guidelines

Working with Azure OpenAI Studio

  • Exploring the features and layout of the Azure OpenAI Studio interface
  • Deploying and managing Large Language Models (LLMs)

Integrating AI Models into Applications

  • Utilizing the Playground environment for initial model testing
  • Accessing and deploying models using Postman and Python APIs
  • An introduction to ChatGPT and foundational Prompt Engineering strategies

Advanced AI Techniques

  • Optimizing AI models for specialized functions through fine-tuning
  • Creating images using the DALL-E studio
  • Implementing text embeddings and understanding their utility
  • Refining Prompt Engineering skills for optimized model interactions

AI Model Combinations

  • Synthesizing text, image, and audio models to build robust solutions
  • Converting and generating text from audio inputs using Whisper AI

Securing and Optimizing AI Implementations

  • Establishing security protocols for AI-driven chatbots
  • Applying content filters to ensure data integrity and safety

Project: AI-Powered Solutions Development

  • Architecting a web application that leverages Azure OpenAI models
  • Integrating multiple AI capabilities into a unified system

Requirements

  • Familiarity with cloud computing platforms
  • Proficiency in Python programming
  • Existing AI experience is not mandatory

Target Audience

  • AI developers
  • AI enthusiasts

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