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Course Outline

Foundations of AI and Generative AI

  • Core principles of AI and its influence on technology
  • An overview of Generative AI basics and real-world use cases

Deploying the Azure OpenAI Service

  • Creating and configuring an Azure OpenAI account
  • A review of Azure OpenAI quotas, pricing models, and governance policies

Utilizing Azure OpenAI Studio

  • Navigation of the Azure OpenAI Studio user interface
  • Deployment and management strategies for Large Language Models (LLMs)

Application Integration of AI Models

  • Using the Playground feature for initial model testing
  • Connecting to and deploying models through Postman and Python APIs
  • An introduction to ChatGPT and foundational Prompt Engineering methods

Advanced AI Methodologies

  • Adapting AI models for specific specialized tasks
  • Image generation workflows using the DALL-E studio
  • The process of creating and deploying text embeddings
  • Refining Prompt Engineering skills for optimal model interaction

Combining AI Model Types

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

Security and Optimization of AI Systems

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

Capstone Project: Building AI-Driven Solutions

  • Architecting a web application powered by Azure OpenAI models
  • Merging various AI capabilities into a unified, functional system

Requirements

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

Target Audience

  • AI developers
  • Individuals with an interest in AI
 14 Hours

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