Use JAVA and Spring to Build Artificial Intelligence (AI) driven Applications and its lifecycle – Generative AI
Welcome to Master Generative AI with Java and Spring Boot | Spring AI, the ultimate course for Java and Spring developers looking to harness the power of Artificial Intelligence (AI) in their applications. This comprehensive course is tailored to empower you with the skills and knowledge to build intelligent, feature-rich applications using Spring AI and the Spring ecosystem.
What you’ll learn
- Integrate AI models into Spring Boot applications..
- Develop AI-driven features using Spring AI, DALL-E, and audio models..
- Implement advanced AI concepts like Retrieval-Augmented Generation..
- Deploy and optimize AI-powered applications for production..
- Build complete AI-powered web applications using Spring technologies..
Course Content
- Introduction to Spring AI –> 3 lectures • 25min.
- Working with AI Models in Spring –> 15 lectures • 1hr 25min.
- Spring AI with DALL-E and Audio Models (MultiModality) –> 6 lectures • 43min.
- Retrieval-Augmented Generation (RAG) with Spring AI –> 11 lectures • 1hr 29min.
- Building AI driven Application –> 12 lectures • 1hr 9min.
Requirements
Welcome to Master Generative AI with Java and Spring Boot | Spring AI, the ultimate course for Java and Spring developers looking to harness the power of Artificial Intelligence (AI) in their applications. This comprehensive course is tailored to empower you with the skills and knowledge to build intelligent, feature-rich applications using Spring AI and the Spring ecosystem.
Why This Course?
AI transforms industries by automating complex tasks, personalizing user experiences, and driving innovation. As a Java/Spring developer, integrating AI into your applications is no longer optional—it’s the future. This course bridges the gap between AI and Spring development, enabling you to create AI-powered applications seamlessly.
What You’ll Learn:
Module 1: Introduction to Spring AI
- Explore how AI is shaping modern applications across industries, including healthcare, e-commerce, automation, and security.
- Understand the role of AI in the Spring ecosystem, including AI model integration, natural language processing (NLP), and machine learning (ML).
- Learn the core capabilities of Spring AI, such as natural language understanding, image generation, voice synthesis, and enhanced search.
- Set up your development environment and create your first Spring Boot application with AI capabilities.
Module 2: Working with AI Models in Spring
- Integrate pre-trained AI models into your Spring applications.
- Build APIs using advanced tools like ChatModel, ChatClient, and PromptTemplate.
- Explore various prompt types and their use cases in AI-driven interactions.
- Learn low-level and high-level API integrations, including Entity-based and BeanConverter implementations.
Module 3: Prompt Engineering
- Master the art of prompt engineering to optimize AI model interactions.
- Learn techniques to craft precise prompts for language models.
- Discover real-world applications and case studies for effective prompt engineering.
Module 4: Spring AI with DALL-E and Audio Models (Multimodality)
- Work with DALL-E to generate and manipulate images.
- Create APIs for text-to-image, image-to-text, and audio processing tasks.
- Implement translation and text-to-speech features for voice-enabled applications.
Module 5: Retrieval-Augmented Generation (RAG) with Spring AI
- Gain a deep understanding of Retrieval-Augmented Generation (RAG) and its significance in AI-driven applications.
- Implement RAG with Spring AI and Vector Stores for enhanced search and contextual responses.
- Explore use cases like document summarization, personalized recommendations, and knowledge retrieval.
Module 6: Building Projects
- Apply your knowledge to build practical, end-to-end AI-powered applications.
- Work on hands-on projects integrating AI models with real-world datasets and use cases.
Module 7: Real-World Projects
- Dive into real-world projects to solidify your skills and gain experience in building industry-grade AI applications.
Key Features of This Course:
- Step-by-step tutorials with practical examples.
- Real-world use cases, hands-on projects, and coding exercises.
- Detailed insights into integrating AI technologies like NLP, DALL-E, and RAG with Spring Boot.
- Guidance on deploying scalable AI solutions in production.
Who Should Enroll?
- Java and Spring developers eager to integrate AI into their applications.
- AI enthusiasts who want to learn how to work with advanced AI models in a Spring ecosystem.
- Software engineers looking to stay ahead in the evolving tech landscape by mastering AI-powered application development.
Prerequisites:
- Basic knowledge of Java and Spring Framework.
- Familiarity with REST APIs and Spring Boot.
- Curiosity to explore AI technologies and their applications.
What You’ll Gain:
By the end of this course, you’ll have the expertise to build, deploy, and maintain AI-powered applications using Spring AI. You’ll be equipped to solve real-world problems and create innovative solutions, opening up exciting opportunities in your career as a software developer.
Join now and unlock the power of AI in your Spring applications!