GenAI for Busy Java Developers
Seeders : 7 Leechers : 1
| Torrent Hash : | 821058E60A4E3B635FBC4400DB7A4E6DBF5E1984 |
| Torrent Added : | at March 1, 2026, 8:40 a.m. in Other |
| Torrent Size : | 935.3 MB |
Note :
Please Update (Trackers Info) Before Start " GenAI for Busy Java Developers" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.Torrent File Content (3 files)
GenAI for Busy Java Developers
Get Bonus Downloads Here.url -
Bonus Resources.txt -
001. GenAI for Busy Java Developers - Introduction.en.srt -
001. GenAI for Busy Java Developers - Introduction.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 1.1 Describe the historical evolution of Patterns, AI, and Machine Learning.en.srt -
002. 1.1 Describe the historical evolution of Patterns, AI, and Machine Learning.mp4 -
003. 1.2 Explain the distinction between GenAI and PredAI.en.srt -
003. 1.2 Explain the distinction between GenAI and PredAI.mp4 -
004. 1.3 Identify common patterns used in software development.en.srt -
004. 1.3 Identify common patterns used in software development.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 10.1 Describe why Vector Stores are needed.en.srt -
002. 10.1 Describe why Vector Stores are needed.mp4 -
003. 10.2 Classify different vector store options.en.srt -
003. 10.2 Classify different vector store options.mp4 -
004. 10.3 Understand the importance of a chunking strategy.en.srt -
004. 10.3 Understand the importance of a chunking strategy.mp4 -
005. 10.4 Describe LangChain4j's EmbeddingStore and Data Ingestion architecture.en.srt -
005. 10.4 Describe LangChain4j's EmbeddingStore and Data Ingestion architecture.mp4 -
006. 10.5 Construct an index and search over it using embedding similarity.en.srt -
006. 10.5 Construct an index and search over it using embedding similarity.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 11.1 Identify what a Tool (function-calling) is.en.srt -
002. 11.1 Identify what a Tool (function-calling) is.mp4 -
003. 11.2 Understand the relationship between reasoning models and tools.en.srt -
003. 11.2 Understand the relationship between reasoning models and tools.mp4 -
004. 11.3 Demonstrate Tool use with AiService.en.srt -
004. 11.3 Demonstrate Tool use with AiService.mp4 -
005. 11.4 Define what an Agent is.en.srt -
005. 11.4 Define what an Agent is.mp4 -
006. 11.5 Describe current frameworks and the state of the art of Agents.en.srt -
006. 11.5 Describe current frameworks and the state of the art of Agents.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 12.1 Summarize major concepts from each chapter.en.srt -
002. 12.1 Summarize major concepts from each chapter.mp4 -
003. 12.2 List tools, libraries, and resources used in the course.en.srt -
003. 12.2 List tools, libraries, and resources used in the course.mp4 -
004. 12.3 Reflect on where GenAI best fits into Java development workflows.en.srt -
004. 12.3 Reflect on where GenAI best fits into Java development workflows.mp4 -
005. 12.4 Identify advanced areas for deeper study.en.srt -
005. 12.4 Identify advanced areas for deeper study.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 2.1 Illustrate the structure of a basic neural network.en.srt -
002. 2.1 Illustrate the structure of a basic neural network.mp4 -
003. 2.2 Explain the role of weights in the learning process.en.srt -
003. 2.2 Explain the role of weights in the learning process.mp4 -
004. 2.3 Define basic GenAI terminology.en.srt -
004. 2.3 Define basic GenAI terminology.mp4 -
005. 2.4 Describe the training process and the stochastic nature of GenAI models.en.srt -
005. 2.4 Describe the training process and the stochastic nature of GenAI models.mp4 -
006. 2.5 Compare traditional deterministic programming to probabilistic GenAI models.en.srt -
006. 2.5 Compare traditional deterministic programming to probabilistic GenAI models.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 3.1 Design effective prompts using zero-shot, few-shot, and chain-of-thought techniques.en.srt -
002. 3.1 Design effective prompts using zero-shot, few-shot, and chain-of-thought techniques.mp4 -
003. 3.2 Explain the importance of context in prompt success and result consistency.en.srt -
003. 3.2 Explain the importance of context in prompt success and result consistency.mp4 -
004. 3.3 Explain Context Window and the stateless nature of an LLM connection.en.srt -
004. 3.3 Explain Context Window and the stateless nature of an LLM connection.mp4 -
005. 3.4 Compare various message roles - System, User, and Assistant.en.srt -
005. 3.4 Compare various message roles - System, User, and Assistant.mp4 -
006. 3.5 Describe a useful abstraction for context.en.srt -
006. 3.5 Describe a useful abstraction for context.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 4.1 Describe various types of programmatic access to GenAI services.en.srt -
002. 4.1 Describe various types of programmatic access to GenAI services.mp4 -
003. 4.2 Compare various REST calls from popular GenAI providers.en.srt -
003. 4.2 Compare various REST calls from popular GenAI providers.mp4 -
004. 4.3 Demonstrate REST calls and message components.en.srt -
004. 4.3 Demonstrate REST calls and message components.mp4 -
005. 4.4 Explain the history of LangChain4j.en.srt -
005. 4.4 Explain the history of LangChain4j.mp4 -
006. 4.5 Identify why an abstract API is useful for Java developers.en.srt -
006. 4.5 Identify why an abstract API is useful for Java developers.mp4 -
007. 4.6 Demonstrate simple LangChain4j examples.en.srt -
007. 4.6 Demonstrate simple LangChain4j examples.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 5.1 Define core components of LangChain4j.en.srt -
002. 5.1 Define core components of LangChain4j.mp4 -
003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.en.srt -
003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.mp4 -
004. 5.3 Demonstrate how to send UserMessages and SystemMessages to an LLM.en.srt -
004. 5.3 Demonstrate how to send UserMessages and SystemMessages to an LLM.mp4 -
005. 5.4 Implement a basic chatbot with prompt context.en.srt -
005. 5.4 Implement a basic chatbot with prompt context.mp4 -
006. 5.5 Demonstrate incorporating external data as context for the chatbot.en.srt -
006. 5.5 Demonstrate incorporating external data as context for the chatbot.mp4 -
007. 5.6 Apply memory to retain conversation state.en.srt -
007. 5.6 Apply memory to retain conversation state.mp4 -
008. 5.7 Implement a basic chatbot using ChatMemory.en.srt -
008. 5.7 Implement a basic chatbot using ChatMemory.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 6.1 Identify why templates are useful.en.srt -
002. 6.1 Identify why templates are useful.mp4 -
003. 6.2 Create reusable prompt templates using LangChain4j.en.srt -
003. 6.2 Create reusable prompt templates using LangChain4j.mp4 -
004. 6.3 Demonstrate dynamic prompt composition using Java variables.en.srt -
004. 6.3 Demonstrate dynamic prompt composition using Java variables.mp4 -
005. 6.4 Identify the advantages and disadvantages of prompt templates.en.srt -
005. 6.4 Identify the advantages and disadvantages of prompt templates.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 7.1 Diagram the structure of a chatbot architecture.en.srt -
002. 7.1 Diagram the structure of a chatbot architecture.mp4 -
003. 7.2 Identify the roles of System, User, and Assistant messages with a chatbot.en.srt -
003. 7.2 Identify the roles of System, User, and Assistant messages with a chatbot.mp4 -
004. 7.3 Explain the use of LangChain4j s AiService.en.srt -
004. 7.3 Explain the use of LangChain4j s AiService.mp4 -
005. 7.4 Assess chatbot context and costs.en.srt -
005. 7.4 Assess chatbot context and costs.mp4 -
006. 7.5 Demonstrate a chatbot that maintains conversational context.en.srt -
006. 7.5 Demonstrate a chatbot that maintains conversational context.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 8.1 Understand basic ways to get an LLM to return a useful result.en.srt -
002. 8.1 Understand basic ways to get an LLM to return a useful result.mp4 -
003. 8.2 Explain the motivation and architecture behind RAG.en.srt -
003. 8.2 Explain the motivation and architecture behind RAG.mp4 -
004. 8.3 Illustrate the document retrieval and injection pipeline.en.srt -
004. 8.3 Illustrate the document retrieval and injection pipeline.mp4 -
005. 8.4 Identify the advantages of a RAG-based system.en.srt -
005. 8.4 Identify the advantages of a RAG-based system.mp4 -
006. 8.5 Identify potential issues and failure modes of retrieval-based systems.en.srt -
006. 8.5 Identify potential issues and failure modes of retrieval-based systems.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 9.1 Understand why similarity is needed for GenAI.en.srt -
002. 9.1 Understand why similarity is needed for GenAI.mp4 -
003. 9.2 Define embeddings and their mathematical representation.en.srt -
003. 9.2 Define embeddings and their mathematical representation.mp4 -
004. 9.3 Compare 2d, 3d, and N-d embeddings.en.srt -
004. 9.3 Compare 2d, 3d, and N-d embeddings.mp4 -
005. 9.4 Demonstrate how to generate a text embedding.en.srt -
005. 9.4 Demonstrate how to generate a text embedding.mp4 -
006. 9.5 Describe LangChain4j s EmbeddingModel.en.srt -
006. 9.5 Describe LangChain4j s EmbeddingModel.mp4 -
007. 9.6 Compute similarity between vectors to rank text relevance.en.srt -
007. 9.6 Compute similarity between vectors to rank text relevance.mp4 -
001. GenAI for Busy Java Developers - Summary.en.srt -
001. GenAI for Busy Java Developers - Summary.mp4 -
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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
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