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
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt