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 Duration 14 hours

Course Outline

Foundations of AI and Generative AI

  • Core principles of AI and its technological impact
  • Overview of Generative AI basics and real-world applications

Deploying the Azure OpenAI Service

  • Initial setup of an Azure OpenAI account
  • Review of Azure OpenAI quotas, cost structures, and policies

Utilizing Azure OpenAI Studio

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

Embedding AI Models in Applications

  • Using the Playground environment for model evaluation
  • Model access and deployment through Postman and Python APIs
  • Overview of ChatGPT and Prompt Engineering methods

Advanced AI Methodologies

  • Customizing AI models for specific tasks
  • Image generation utilizing the DALL-E studio
  • Concepts and deployment of text embeddings
  • Advanced Prompt Engineering for optimal model interaction

Combining AI Models

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

Securing and Enhancing AI Systems

  • Applying security protocols to AI-driven chatbots
  • Maintaining data integrity through content filtering mechanisms

Capstone Project: Building AI-Driven Solutions

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

Requirements

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

Target Audience

  • AI developers
  • Technology enthusiasts interested in AI

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Provisional Upcoming Courses (Require 5+ participants)

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