| 001. GenAI for Busy Java Developers - Introduction.en.srt | 5.3 KB | ||
| 001. GenAI for Busy Java Developers - Introduction.mp4 | 33.6 MB | ||
| 001. GenAI for Busy Java Developers - Summary.en.srt | 1.5 KB | ||
| 001. GenAI for Busy Java Developers - Summary.mp4 | 9.6 MB | ||
| 001. Learning objectives.en.srt | 819.2 B | ||
| 001. Learning objectives.mp4 | 4.9 MB | ||
| 002. 1.1 Describe the historical evolution of Patterns, AI, and Machine Learning.en.srt | 8.7 KB | ||
| 002. 1.1 Describe the historical evolution of Patterns, AI, and Machine Learning.mp4 | 22.3 MB | ||
| 002. 10.1 Describe why Vector Stores are needed.en.srt | 5.9 KB | ||
| 002. 10.1 Describe why Vector Stores are needed.mp4 | 14.6 MB | ||
| 002. 11.1 Identify what a Tool (function-calling) is.en.srt | 3.7 KB | ||
| 002. 11.1 Identify what a Tool (function-calling) is.mp4 | 10.9 MB | ||
| 002. 12.1 Summarize major concepts from each chapter.en.srt | 3.2 KB | ||
| 002. 12.1 Summarize major concepts from each chapter.mp4 | 9.4 MB | ||
| 002. 2.1 Illustrate the structure of a basic neural network.en.srt | 512 B | ||
| 002. 2.1 Illustrate the structure of a basic neural network.mp4 | 2.1 MB | ||
| 002. 3.1 Design effective prompts using zero-shot, few-shot, and chain-of-thought techniques.en.srt | 11.6 KB | ||
| 002. 3.1 Design effective prompts using zero-shot, few-shot, and chain-of-thought techniques.mp4 | 31 MB | ||
| 002. 4.1 Describe various types of programmatic access to GenAI services.en.srt | 2.1 KB | ||
| 002. 4.1 Describe various types of programmatic access to GenAI services.mp4 | 6.5 MB | ||
| 002. 5.1 Define core components of LangChain4j.en.srt | 2 KB | ||
| 002. 5.1 Define core components of LangChain4j.mp4 | 4.2 MB | ||
| 002. 6.1 Identify why templates are useful.en.srt | 3.2 KB | ||
| 002. 6.1 Identify why templates are useful.mp4 | 8.2 MB | ||
| 002. 7.1 Diagram the structure of a chatbot architecture.en.srt | 3.5 KB | ||
| 002. 7.1 Diagram the structure of a chatbot architecture.mp4 | 9.3 MB | ||
| 002. 8.1 Understand basic ways to get an LLM to return a useful result.en.srt | 7.3 KB | ||
| 002. 8.1 Understand basic ways to get an LLM to return a useful result.mp4 | 17.4 MB | ||
| 002. 9.1 Understand why similarity is needed for GenAI.en.srt | 2.1 KB | ||
| 002. 9.1 Understand why similarity is needed for GenAI.mp4 | 7.8 MB | ||
| 003. 1.2 Explain the distinction between GenAI and PredAI.en.srt | 7 KB | ||
| 003. 1.2 Explain the distinction between GenAI and PredAI.mp4 | 20.8 MB | ||
| 003. 10.2 Classify different vector store options.en.srt | 2.6 KB | ||
| 003. 10.2 Classify different vector store options.mp4 | 5.8 MB | ||
| 003. 11.2 Understand the relationship between reasoning models and tools.en.srt | 6.2 KB | ||
| 003. 11.2 Understand the relationship between reasoning models and tools.mp4 | 14.4 MB | ||
| 003. 12.2 List tools, libraries, and resources used in the course.en.srt | 1 KB | ||
| 003. 12.2 List tools, libraries, and resources used in the course.mp4 | 4.4 MB | ||
| 003. 2.2 Explain the role of weights in the learning process.en.srt | 2.2 KB | ||
| 003. 2.2 Explain the role of weights in the learning process.mp4 | 7.8 MB | ||
| 003. 3.2 Explain the importance of context in prompt success and result consistency.en.srt | 3.8 KB | ||
| 003. 3.2 Explain the importance of context in prompt success and result consistency.mp4 | 12.5 MB | ||
| 003. 4.2 Compare various REST calls from popular GenAI providers.en.srt | 3 KB | ||
| 003. 4.2 Compare various REST calls from popular GenAI providers.mp4 | 8.5 MB | ||
| 003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.en.srt | 1 KB | ||
| 003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.mp4 | 2.7 MB | ||
| 003. 6.2 Create reusable prompt templates using LangChain4j.en.srt | 3.9 KB | ||
| 003. 6.2 Create reusable prompt templates using LangChain4j.mp4 | 13.5 MB | ||
| 003. 7.2 Identify the roles of System, User, and Assistant messages with a chatbot.en.srt | 1.1 KB | ||
| 003. 7.2 Identify the roles of System, User, and Assistant messages with a chatbot.mp4 | 3.4 MB | ||
| 003. 8.2 Explain the motivation and architecture behind RAG.en.srt | 9.9 KB | ||
| 003. 8.2 Explain the motivation and architecture behind RAG.mp4 | 23.2 MB | ||
| 003. 9.2 Define embeddings and their mathematical representation.en.srt | 7.8 KB | ||
| 003. 9.2 Define embeddings and their mathematical representation.mp4 | 19.6 MB | ||
| 004. 1.3 Identify common patterns used in software development.en.srt | 3.5 KB | ||
| 004. 1.3 Identify common patterns used in software development.mp4 | 11.3 MB | ||
| 004. 10.3 Understand the importance of a chunking strategy.en.srt | 5.1 KB | ||
| 004. 10.3 Understand the importance of a chunking strategy.mp4 | 12.7 MB | ||
| 004. 11.3 Demonstrate Tool use with AiService.en.srt | 15.3 KB | ||
| 004. 11.3 Demonstrate Tool use with AiService.mp4 | 40.2 MB | ||
| 004. 12.3 Reflect on where GenAI best fits into Java development workflows.en.srt | 1.3 KB | ||
| 004. 12.3 Reflect on where GenAI best fits into Java development workflows.mp4 | 4.1 MB | ||
| 004. 2.3 Define basic GenAI terminology.en.srt | 5.7 KB | ||
| 004. 2.3 Define basic GenAI terminology.mp4 | 15.5 MB | ||
| 004. 3.3 Explain Context Window and the stateless nature of an LLM connection.en.srt | 1.8 KB | ||
| 004. 3.3 Explain Context Window and the stateless nature of an LLM connection.mp4 | 3.7 MB | ||
| 004. 4.3 Demonstrate REST calls and message components.en.srt | 3.2 KB | ||
| 004. 4.3 Demonstrate REST calls and message components.mp4 | 11.3 MB | ||
| 004. 5.3 Demonstrate how to send UserMessages and SystemMessages to an LLM.en.srt | 5.9 KB | ||
| 004. 5.3 Demonstrate how to send UserMessages and SystemMessages to an LLM.mp4 | 21.7 MB | ||
| 004. 6.3 Demonstrate dynamic prompt composition using Java variables.en.srt | 9.1 KB | ||
| 004. 6.3 Demonstrate dynamic prompt composition using Java variables.mp4 | 44.7 MB | ||
| 004. 7.3 Explain the use of LangChain4j s AiService.en.srt | 13.7 KB | ||
| 004. 7.3 Explain the use of LangChain4j s AiService.mp4 | 40.6 MB | ||
| 004. 8.3 Illustrate the document retrieval and injection pipeline.en.srt | 7.6 KB | ||
| 004. 8.3 Illustrate the document retrieval and injection pipeline.mp4 | 24.1 MB | ||
| 004. 9.3 Compare 2d, 3d, and N-d embeddings.en.srt | 5.7 KB | ||
| 004. 9.3 Compare 2d, 3d, and N-d embeddings.mp4 | 15.9 MB | ||
| 005. 10.4 Describe LangChain4j's EmbeddingStore and Data Ingestion architecture.en.srt | 3.7 KB | ||
| 005. 10.4 Describe LangChain4j's EmbeddingStore and Data Ingestion architecture.mp4 | 11.4 MB | ||
| 005. 11.4 Define what an Agent is.en.srt | 7.2 KB | ||
| 005. 11.4 Define what an Agent is.mp4 | 15.1 MB | ||
| 005. 12.4 Identify advanced areas for deeper study.en.srt | 2.8 KB | ||
| 005. 12.4 Identify advanced areas for deeper study.mp4 | 7.4 MB | ||
| 005. 2.4 Describe the training process and the stochastic nature of GenAI models.en.srt | 1.7 KB | ||
| 005. 2.4 Describe the training process and the stochastic nature of GenAI models.mp4 | 5.8 MB | ||
| 005. 3.4 Compare various message roles - System, User, and Assistant.en.srt | 4.2 KB | ||
| 005. 3.4 Compare various message roles - System, User, and Assistant.mp4 | 10.8 MB | ||
| 005. 4.4 Explain the history of LangChain4j.en.srt | 1.9 KB | ||
| 005. 4.4 Explain the history of LangChain4j.mp4 | 7 MB | ||
| 005. 5.4 Implement a basic chatbot with prompt context.en.srt | 2.1 KB | ||
| 005. 5.4 Implement a basic chatbot with prompt context.mp4 | 9.2 MB | ||
| 005. 6.4 Identify the advantages and disadvantages of prompt templates.en.srt | 2.9 KB | ||
| 005. 6.4 Identify the advantages and disadvantages of prompt templates.mp4 | 9.8 MB | ||
| 005. 7.4 Assess chatbot context and costs.en.srt | 2.7 KB | ||
| 005. 7.4 Assess chatbot context and costs.mp4 | 6.8 MB | ||
| 005. 8.4 Identify the advantages of a RAG-based system.en.srt | 2.3 KB | ||
| 005. 8.4 Identify the advantages of a RAG-based system.mp4 | 5.3 MB | ||
| 005. 9.4 Demonstrate how to generate a text embedding.en.srt | 2.3 KB | ||
| 005. 9.4 Demonstrate how to generate a text embedding.mp4 | 14.3 MB | ||
| 006. 10.5 Construct an index and search over it using embedding similarity.en.srt | 13.8 KB | ||
| 006. 10.5 Construct an index and search over it using embedding similarity.mp4 | 59.8 MB | ||
| 006. 11.5 Describe current frameworks and the state of the art of Agents.en.srt | 1.4 KB | ||
| 006. 11.5 Describe current frameworks and the state of the art of Agents.mp4 | 3.9 MB | ||
| 006. 2.5 Compare traditional deterministic programming to probabilistic GenAI models.en.srt | 4.2 KB | ||
| 006. 2.5 Compare traditional deterministic programming to probabilistic GenAI models.mp4 | 8.7 MB | ||
| 006. 3.5 Describe a useful abstraction for context.en.srt | 6 KB | ||
| 006. 3.5 Describe a useful abstraction for context.mp4 | 15.2 MB | ||
| 006. 4.5 Identify why an abstract API is useful for Java developers.en.srt | 716.8 B | ||
| 006. 4.5 Identify why an abstract API is useful for Java developers.mp4 | 2.4 MB | ||
| 006. 5.5 Demonstrate incorporating external data as context for the chatbot.en.srt | 2.5 KB | ||
| 006. 5.5 Demonstrate incorporating external data as context for the chatbot.mp4 | 14 MB | ||
| 006. 7.5 Demonstrate a chatbot that maintains conversational context.en.srt | 1.8 KB | ||
| 006. 7.5 Demonstrate a chatbot that maintains conversational context.mp4 | 9.6 MB | ||
| 006. 8.5 Identify potential issues and failure modes of retrieval-based systems.en.srt | 4.8 KB | ||
| 006. 8.5 Identify potential issues and failure modes of retrieval-based systems.mp4 | 16.1 MB | ||
| 006. 9.5 Describe LangChain4j s EmbeddingModel.en.srt | 2.1 KB | ||
| 006. 9.5 Describe LangChain4j s EmbeddingModel.mp4 | 7 MB | ||
| 007. 4.6 Demonstrate simple LangChain4j examples.en.srt | 5.8 KB | ||
| 007. 4.6 Demonstrate simple LangChain4j examples.mp4 | 20.3 MB | ||
| 007. 5.6 Apply memory to retain conversation state.en.srt | 4.8 KB | ||
| 007. 5.6 Apply memory to retain conversation state.mp4 | 11.8 MB | ||
| 007. 9.6 Compute similarity between vectors to rank text relevance.en.srt | 9.4 KB | ||
| 007. 9.6 Compute similarity between vectors to rank text relevance.mp4 | 24.5 MB | ||
| 008. 5.7 Implement a basic chatbot using ChatMemory.en.srt | 6.6 KB | ||
| 008. 5.7 Implement a basic chatbot using ChatMemory.mp4 | 18.7 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 150 total files | |||
GenAI for Busy Java Developers
https://WebToolTip.com
Released 11/2025
By Frank Greco
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 4h 18m | Size: 935 MB
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.
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