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Course Outline

Foundations of AI and Generative AI

  • Essential principles of AI and its technological impact
  • Overview of generative AI fundamentals and use cases

Deploying Azure OpenAI Services

  • Creating an Azure OpenAI account
  • Reviewing Azure OpenAI quotas, cost structures, and usage policies

Utilizing Azure OpenAI Studio

  • Exploring the Azure OpenAI Studio user interface
  • Managing and deploying Large Language Models (LLMs)

Integrating AI Models into Applications

  • Using the Playground feature for model experimentation
  • Accessing and deploying models through Postman and Python APIs
  • Overview of ChatGPT and prompt engineering strategies

Advanced AI Methodologies

  • Customizing AI models for specific tasks via fine-tuning
  • Creating visual content with the DALL-E studio
  • Implementing and deploying text embeddings
  • Refining prompt engineering skills for optimal model interaction

Combining AI Models

  • Merging text, image, and audio models to build robust solutions
  • Converting audio to text and generating translations using Whisper AI

Securing and Optimizing AI Solutions

  • Applying security protocols to AI-driven chatbots
  • Maintaining data integrity through the use of content filters

Capstone Project: Developing AI-Driven Solutions

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

Requirements

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

Intended Participants

  • AI developers
  • AI enthusiasts
 14 Hours

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