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Language:
English
Total Size:
935.3 MB
Info Hash:
821058E60A4E3B635FBC4400DB7A4E6DBF5E1984
Added By:
Added:
March 1, 2026, 8:40 a.m.
Stats:
|
(Last updated: March 1, 2026, 8:43 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| Bonus Resources.txt | 70 bytes |
| 001. GenAI for Busy Java Developers - Introduction.en.srt | 5.3 KB |
| 001. GenAI for Busy Java Developers - Introduction.mp4 | 33.6 MB |
| 001. Learning objectives.en.srt | 656 bytes |
| 001. Learning objectives.mp4 | 4.0 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 |
| 003. 1.2 Explain the distinction between GenAI and PredAI.en.srt | 7.0 KB |
| 003. 1.2 Explain the distinction between GenAI and PredAI.mp4 | 20.8 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 |
| 001. Learning objectives.en.srt | 578 bytes |
| 001. Learning objectives.mp4 | 4.5 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 001. Learning objectives.en.srt | 589 bytes |
| 001. Learning objectives.mp4 | 4.2 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 001. Learning objectives.en.srt | 579 bytes |
| 001. Learning objectives.mp4 | 4.1 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 |
| 003. 12.2 List tools, libraries, and resources used in the course.en.srt | 999 bytes |
| 003. 12.2 List tools, libraries, and resources used in the course.mp4 | 4.4 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 |
| 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 |
| 001. Learning objectives.en.srt | 714 bytes |
| 001. Learning objectives.mp4 | 4.4 MB |
| 002. 2.1 Illustrate the structure of a basic neural network.en.srt | 489 bytes |
| 002. 2.1 Illustrate the structure of a basic neural network.mp4 | 2.1 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 |
| 004. 2.3 Define basic GenAI terminology.en.srt | 5.7 KB |
| 004. 2.3 Define basic GenAI terminology.mp4 | 15.5 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 |
| 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 |
| 001. Learning objectives.en.srt | 735 bytes |
| 001. Learning objectives.mp4 | 4.5 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 | 31.0 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 |
| 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 |
| 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 |
| 006. 3.5 Describe a useful abstraction for context.en.srt | 6.0 KB |
| 006. 3.5 Describe a useful abstraction for context.mp4 | 15.2 MB |
| 001. Learning objectives.en.srt | 537 bytes |
| 001. Learning objectives.mp4 | 3.6 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 |
| 003. 4.2 Compare various REST calls from popular GenAI providers.en.srt | 3.0 KB |
| 003. 4.2 Compare various REST calls from popular GenAI providers.mp4 | 8.5 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 |
| 005. 4.4 Explain the history of LangChain4j.en.srt | 1.9 KB |
| 005. 4.4 Explain the history of LangChain4j.mp4 | 7.0 MB |
| 006. 4.5 Identify why an abstract API is useful for Java developers.en.srt | 710 bytes |
| 006. 4.5 Identify why an abstract API is useful for Java developers.mp4 | 2.4 MB |
| 007. 4.6 Demonstrate simple LangChain4j examples.en.srt | 5.8 KB |
| 007. 4.6 Demonstrate simple LangChain4j examples.mp4 | 20.3 MB |
| 001. Learning objectives.en.srt | 609 bytes |
| 001. Learning objectives.mp4 | 4.1 MB |
| 002. 5.1 Define core components of LangChain4j.en.srt | 2.0 KB |
| 002. 5.1 Define core components of LangChain4j.mp4 | 4.2 MB |
| 003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.en.srt | 980 bytes |
| 003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.mp4 | 2.7 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 |
| 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 |
| 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 | 14.0 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 |
| 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 |
| 001. Learning objectives.en.srt | 663 bytes |
| 001. Learning objectives.mp4 | 4.6 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 |
| 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 |
| 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 |
| 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 |
| 001. Learning objectives.en.srt | 573 bytes |
| 001. Learning objectives.mp4 | 4.4 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 001. Learning objectives.en.srt | 589 bytes |
| 001. Learning objectives.mp4 | 3.9 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 001. Learning objectives.en.srt | 778 bytes |
| 001. Learning objectives.mp4 | 4.9 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. 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. 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. 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. 9.5 Describe LangChain4j s EmbeddingModel.en.srt | 2.1 KB |
| 006. 9.5 Describe LangChain4j s EmbeddingModel.mp4 | 7.0 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 |
| 001. GenAI for Busy Java Developers - Summary.en.srt | 1.5 KB |
| 001. GenAI for Busy Java Developers - Summary.mp4 | 9.6 MB |
Name
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935.3 MB
[7
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2026-03-01
| Uploaded by freecoursewb | Size 935.3 MB | Health [ 7 /1 ] | Added 2026-03-01 |
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