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 Duration 14 hours (2 days)

Course Outline

Foundations of AI and Generative AI

  • Core principles of AI and its influence on the tech landscape
  • An overview of Generative AI basics and its use cases

Implementing the Azure OpenAI Service

  • Creating and configuring an Azure OpenAI account
  • Navigating Azure OpenAI quotas, cost structures, and regulatory policies

Utilizing Azure OpenAI Studio

  • Exploring the features of the Azure OpenAI Studio interface
  • Handling the deployment and management of Large Language Models (LLMs)

Incorporating AI Models into Software

  • Testing models using the Playground environment
  • Interacting with and deploying models via Postman and Python APIs
  • An introduction to ChatGPT and Prompt Engineering methodologies

Advanced AI Methodologies

  • Optimizing AI models for specific, specialized tasks
  • Creating images using the DALL-E studio
  • Comprehending and deploying text embeddings
  • Refining Prompt Engineering skills for optimal model engagement

Synthesizing AI Models

  • Merging text, image, and audio models to build robust solutions
  • Performing audio-to-text translation and generation using Whisper AI

Enhancing Security and Performance

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

Capstone Project: Building AI-Driven Solutions

  • Architecting a web application powered by Azure OpenAI models
  • Blending various AI capabilities into a unified 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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