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 Duration 14 hours

Course Outline

Basics of AI and Generative AI

  • Core principles of AI and its influence on the technology sector
  • An overview of Generative AI fundamentals and practical use cases

Deploying Azure OpenAI Services

  • Initializing an Azure OpenAI account
  • Clarifying Azure OpenAI limits, pricing structures, and policy guidelines

Utilizing Azure OpenAI Studio

  • Exploring the features within the Azure OpenAI Studio interface
  • Deploying and administering Large Language Models (LLMs)

Embedding AI Models in Applications

  • Leveraging the Playground for experimental model testing
  • Retrieving and deploying models using Postman and Python APIs
  • Overview of ChatGPT and strategies for Prompt Engineering

Advanced AI Strategies

  • Adapting AI models for specific, specialized tasks
  • Creating visual content using the DALL-E studio
  • Concepts and deployment of text embeddings
  • Advanced Prompt Engineering techniques for optimal model interaction

Multi-Modal AI Integration

  • Merging text, image, and audio models to build robust solutions
  • Audio transcription and text generation using Whisper AI

Enhancing Security and Optimization

  • Applying security protocols to AI-driven chatbots
  • Employing content filters to ensure data consistency and safety

Capstone Project: Developing AI-Driven Solutions

  • Architecting a web application that utilizes Azure OpenAI models
  • Synthesizing varied AI capabilities into a unified system

Requirements

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

Intended Participants

  • Professionals in AI development
  • Enthusiasts interested in AI technologies

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