GenAI for busy Java developers.
Java software engineers who need to learn how to harness the capabilities of generative AI tools for critical aspects of the production software process. This video course empowers Java engineers with the basic knowledge and skills needed to harness the capabilities of generative AI tools for variou...
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| Format: | Video |
| Language: | English |
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[Place of publication not identified] :
Pearson,
2025.
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| Edition: | [First edition]. |
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | Java software engineers who need to learn how to harness the capabilities of generative AI tools for critical aspects of the production software process. This video course empowers Java engineers with the basic knowledge and skills needed to harness the capabilities of generative AI tools for various aspects of the production software process. Developed for beginner and early intermediate Java developers, it explores the impact of Machine Learning on the Java ecosystem and features hands-on coding using tools such as OpenAI ChatGPT, Google Gemini, Anthropic Claude, and other GenAI services using the LangChain4j API. With a focus on practical applications, participants will gain proficiency in GenAI, an understanding of context, learn about embeddings, and how to responsibly integrate GenAI into Java applications. Attendees will: Learn the skills they need in order to apply generative AI to real-world software development. Enterprise developers will learn the fundamentals of generative AI and how to best apply them to reliably put GenAI applications into production. Understand programmatic interfaces to GenAI using REST APIs and featuring the LangChain4J Java API, including many source code examples covering different prompt techniques, streaming, embeddings, templates, context, Retrieval-Augmented Generation (RAG) and an introduction to agents Architect and implement a basic chatbot application that understands private document sets. Skill Level: Beginner to Early Intermediate Learn How To: Differentiate between the two basic types of deep learning Structure prompts and select techniques that produce useful output Use LangChain4j to create a working GenAI application Apply embeddings to various use cases Manage context for effective LLM responses Choose an appropriate vector database and what to store in that database Create tools and understand the basics of agents Course Requirement: Basic Java knowledge Who Should Take This Course: Java developers who manage production deployment and need to understand how to apply generative AI in their daily workflow Programmers with modern software development responsibilities who need to use AI tools for code creation or to create applications that leverage GenAI services About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. |
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| Physical Description: | 1 online resource (1 video file (04 hr., 18 min.)) : sound, color. |
| Playing Time: | 04:18:00 |
| ISBN: | 9780135498330 0135498333 |