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 Duration 14 hours

Course Outline

Foundations of Generative AI and Azure OpenAI

  • The current landscape of AI and Generative AI
  • Overview of available Azure OpenAI services
  • Initial setup of Azure accounts and OpenAI services

Utilizing Azure OpenAI Studio and Playground

  • Navigating the Azure OpenAI Studio interface
  • Conducting model experiments in the Playground
  • Analyzing model capabilities and inherent limitations

Java Integration with OpenAI

  • Configuration of the Java development environment
  • Accessing Azure OpenAI services via Java
  • Development and testing of AI features within Java apps
  • Overview of ChatGPT and its integration pathways in Java
  • Application of Prompt Engineering techniques

Web Application Deployment of AI Models

  • Construction of web applications using Java
  • Embedding AI functionalities into web platforms
  • Best practices for application deployment and scaling

Image Creation via DALL-E

  • Introduction to DALL-E and image generation workflows
  • Utilizing DALL-E studio for image creation
  • Programmatic image generation from Java code

Semantic Search and Text Embeddings

  • Comprehending the concept of text embeddings
  • Integration of embedding models in Java
  • Development of semantic search capabilities

Voice Processing via Whisper AI

  • Fundamentals of AI-driven audio processing
  • Applying Whisper AI for speech-to-text conversion
  • Handling audio translation and multilingual scenarios

Advanced AI Model Integration Strategies

  • Synergizing text and audio models
  • Personalizing AI interactions using user data
  • Implementation of keyword and vector search mechanisms
  • Optimizing interactions through ChatGPT and advanced Prompt Engineering

Security Measures and Model Fine-Tuning

  • Securing AI-integrated applications
  • Fine-tuning models for specific business use cases
  • Utilizing content filters to ensure quality and compliance

Practical Implementation Sessions

  • Hands-on labs addressing real-world scenarios
  • Collaborative projects including peer review processes
  • Capstone project: Development of a comprehensive AI-powered Java application

Key Takeaways and Future Directions

Requirements

  • Proficiency in Java programming
  • Practical experience with RESTful APIs and web services
  • Solid grasp of cloud computing fundamentals

Target Audience

  • Java Developers
  • Software Engineers
  • Cloud Technology Enthusiasts

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