Course Outline

Introduction to AI and Generative AI

  • Fundamentals of AI and its impact on technology
  • Exploring the basics of Generative AI and its applications

Azure OpenAI Service Deployment

  • Setting up an Azure OpenAI account
  • Understanding Azure OpenAI quotas, pricing, and policies

Working with Azure OpenAI Studio

  • Navigating the Azure OpenAI Studio interface
  • Deploying and managing Large Language Models (LLMs)

Integrating AI Models into Applications

  • Utilizing the Playground for model testing
  • Accessing and deploying models via Postman and Python APIs
  • Introduction to ChatGPT and Prompt Engineering techniques

Advanced AI Techniques

  • Fine-tuning AI models for specialized tasks
  • Generating images with DALL-E studio
  • Understanding and deploying text embeddings
  • Mastering Prompt Engineering for effective model interaction

AI Model Combinations

  • Combining text, image, and audio models for robust applications
  • Translating and generating text from audio with Whisper AI

Securing and Optimizing AI Implementations

  • Implementing security measures for AI-powered chatbots
  • Using content filters to maintain data integrity

Project: AI-Powered Solutions Development

  • Designing a web application utilizing Azure OpenAI models
  • Integrating diverse AI functionalities into a cohesive system

Summary and Next Steps

Requirements

  • An understanding of cloud computing platforms
  • Experience with Python programming
  • No prior AI experience required

Audience

  • AI developers
  • AI enthusiasts
 14 Hours

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