Overview
Gain insights into building AI-powered applications with Java and Spring, from neural networks to RESTful APIs, while mastering prompt engineering and addressing ethical concerns in AI development.
Syllabus
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- Introduction to Generative AI
-- Overview of generative AI concepts
-- Impact of AI skills on tech careers
- Setting up AI Development in Java
-- Configuring a Java environment for AI
-- Essential AI libraries and tools for Java
-- Introduction to Deeplearning4j
- Generative AI Techniques and Applications
-- AI-generated text, imagery, audio
-- Real-world AI applications in Java and Spring
-- Integrating AI features: chatbots, recommendation engines, NLP
- Prompt Engineering and AI Best Practices
-- Developing prompt engineering skills
-- Best practices for AI development in Java
-- Addressing ethical concerns in AI-assisted programming
- Building AI-powered Applications in Java and Spring
-- Automating code generation
-- Designing intelligent applications
-- Real-world examples of AI-powered app components
- AI-powered Application Development with Deeplearning4j
-- Building neural network applications in Java
-- Implementing image recognition systems
-- Developing recommendation systems
- Advanced AI Features in Spring
-- Creating AI-powered service layers
-- Designing RESTful APIs with AI components
-- Integrating AI into Spring-based systems
- Debugging, Deploying, and Managing Spring AI Applications
-- Robust configuration for AI applications
-- Effective logging and error handling
-- Deployment strategies for AI applications
- Portfolio Development and Career Advancement
-- Developing a portfolio of AI projects
-- Sharing projects with peers, managers, and potential employers
-- Leveraging AI skills for career growth and salary benefits
Taught by
Antonio Cangiano, Ramanujam Srinivasan, Rav Ahuja and Skill-Up EdTech Team
Tags
On-Demand
