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 Duration 14 hours

Course Outline

Introduction to AI and Generative AI

  • Core principles of AI and its influence on technology.
  • An exploration of Generative AI fundamentals and real-world applications.

Deploying the Azure OpenAI Service

  • Establishing an Azure OpenAI account.
  • Reviewing quotas, pricing structures, and usage policies.

Working with Azure OpenAI Studio

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

Integrating AI Models into Applications

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

Advanced AI Techniques

  • Fine-tuning AI models for specialized operational tasks.
  • Generating images via the DALL-E studio.
  • Understanding the mechanics and deployment of text embeddings.
  • Refining Prompt Engineering skills for optimal model interaction.

Combining AI Models

  • Synthesizing text, image, and audio models to build robust applications.
  • Translating and generating text from audio inputs using Whisper AI.

Securing and Optimizing AI Implementations

  • Implementing robust security measures for AI-driven chatbots.
  • Applying content filters to ensure data integrity and compliance.

Project: Developing AI-Powered Solutions

  • Designing a web application that leverages Azure OpenAI models.
  • Integrating diverse AI functionalities into a unified system architecture.

Requirements

  • A foundational understanding of cloud computing platforms.
  • Practical experience with Python programming.
  • No previous experience with AI is required.

Target Audience

  • AI developers.
  • Enthusiasts of AI technologies.

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