Generative AI with Azure OpenAI for Java Developers Training Course
Generative AI is revolutionizing the way we build software.
This instructor-led, live training (online or onsite) is aimed at intermediate-level Java developers, software engineers, and cloud enthusiasts who wish to harness the power of Azure OpenAI to create intelligent applications.
By the end of this training, participants will be able to:
- Understand the principles of Generative AI and its applications.
- Set up and manage an Azure OpenAI service.
- Integrate OpenAI's models into Java applications.
- Deploy AI-powered features within web applications.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Generative AI and Azure OpenAI
- The landscape of AI and Generative AI
- Overview of Azure OpenAI services
- Setting up an Azure account and OpenAI service
Working with Azure OpenAI Studio and Playground
- Navigating Azure OpenAI Studio
- Experimenting with models in the Playground
- Understanding model capabilities and limitations
Integrating OpenAI with Java
- Setting up the Java development environment
- Accessing Azure OpenAI using Java
- Building and testing AI features in Java applications
- Introduction to ChatGPT and its integration with Java
- Understanding and applying Prompt Engineering techniques
Deploying AI Models as Web Applications
- Creating web applications with Java
- Embedding AI functionalities in web apps
- Best practices for deployment and scaling
Image Generation with DALL-E
- Introduction to DALL-E and image generation
- Using DALL-E studio to create images
- Generating images from Java code
Text Embeddings and Semantic Search
- Understanding text embeddings
- Implementing embedding models in Java
- Building semantic search features
Voice Processing with Whisper AI
- Basics of audio processing with AI
- Using Whisper AI for speech-to-text
- Audio translation and multilingual support
Advanced AI Model Integration
- Combining text and audio models
- Personalizing AI interactions with user data
- Implementing keyword and vector search
- Enhancing interactions with ChatGPT and Prompt Engineering
Security and Fine-Tuning
- Securing AI-powered applications
- Fine-tuning models for specific use cases
- Using content filters to maintain quality
Practical Sessions
- Hands-on labs with real-world scenarios
- Collaborative projects and peer reviews
- Capstone project: Building an AI-powered Java application
Summary and Next Steps
Requirements
- An understanding of Java programming
- Experience with RESTful APIs and web services
- Familiarity with cloud computing concepts
Audience
- Java developers
- Software engineers
- Cloud enthusiasts
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