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GenAI for Busy Java Developers

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Type: Tutorials
Language: English
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. Bonus Resources.txt 70 bytes
  3. 001. GenAI for Busy Java Developers - Introduction.en.srt 5.3 KB
  4. 001. GenAI for Busy Java Developers - Introduction.mp4 33.6 MB
  5. 001. Learning objectives.en.srt 656 bytes
  6. 001. Learning objectives.mp4 4.0 MB
  7. 002. 1.1 Describe the historical evolution of Patterns, AI, and Machine Learning.en.srt 8.7 KB
  8. 002. 1.1 Describe the historical evolution of Patterns, AI, and Machine Learning.mp4 22.3 MB
  9. 003. 1.2 Explain the distinction between GenAI and PredAI.en.srt 7.0 KB
  10. 003. 1.2 Explain the distinction between GenAI and PredAI.mp4 20.8 MB
  11. 004. 1.3 Identify common patterns used in software development.en.srt 3.5 KB
  12. 004. 1.3 Identify common patterns used in software development.mp4 11.3 MB
  13. 001. Learning objectives.en.srt 578 bytes
  14. 001. Learning objectives.mp4 4.5 MB
  15. 002. 10.1 Describe why Vector Stores are needed.en.srt 5.9 KB
  16. 002. 10.1 Describe why Vector Stores are needed.mp4 14.6 MB
  17. 003. 10.2 Classify different vector store options.en.srt 2.6 KB
  18. 003. 10.2 Classify different vector store options.mp4 5.8 MB
  19. 004. 10.3 Understand the importance of a chunking strategy.en.srt 5.1 KB
  20. 004. 10.3 Understand the importance of a chunking strategy.mp4 12.7 MB
  21. 005. 10.4 Describe LangChain4j's EmbeddingStore and Data Ingestion architecture.en.srt 3.7 KB
  22. 005. 10.4 Describe LangChain4j's EmbeddingStore and Data Ingestion architecture.mp4 11.4 MB
  23. 006. 10.5 Construct an index and search over it using embedding similarity.en.srt 13.8 KB
  24. 006. 10.5 Construct an index and search over it using embedding similarity.mp4 59.8 MB
  25. 001. Learning objectives.en.srt 589 bytes
  26. 001. Learning objectives.mp4 4.2 MB
  27. 002. 11.1 Identify what a Tool (function-calling) is.en.srt 3.7 KB
  28. 002. 11.1 Identify what a Tool (function-calling) is.mp4 10.9 MB
  29. 003. 11.2 Understand the relationship between reasoning models and tools.en.srt 6.2 KB
  30. 003. 11.2 Understand the relationship between reasoning models and tools.mp4 14.4 MB
  31. 004. 11.3 Demonstrate Tool use with AiService.en.srt 15.3 KB
  32. 004. 11.3 Demonstrate Tool use with AiService.mp4 40.2 MB
  33. 005. 11.4 Define what an Agent is.en.srt 7.2 KB
  34. 005. 11.4 Define what an Agent is.mp4 15.1 MB
  35. 006. 11.5 Describe current frameworks and the state of the art of Agents.en.srt 1.4 KB
  36. 006. 11.5 Describe current frameworks and the state of the art of Agents.mp4 3.9 MB
  37. 001. Learning objectives.en.srt 579 bytes
  38. 001. Learning objectives.mp4 4.1 MB
  39. 002. 12.1 Summarize major concepts from each chapter.en.srt 3.2 KB
  40. 002. 12.1 Summarize major concepts from each chapter.mp4 9.4 MB
  41. 003. 12.2 List tools, libraries, and resources used in the course.en.srt 999 bytes
  42. 003. 12.2 List tools, libraries, and resources used in the course.mp4 4.4 MB
  43. 004. 12.3 Reflect on where GenAI best fits into Java development workflows.en.srt 1.3 KB
  44. 004. 12.3 Reflect on where GenAI best fits into Java development workflows.mp4 4.1 MB
  45. 005. 12.4 Identify advanced areas for deeper study.en.srt 2.8 KB
  46. 005. 12.4 Identify advanced areas for deeper study.mp4 7.4 MB
  47. 001. Learning objectives.en.srt 714 bytes
  48. 001. Learning objectives.mp4 4.4 MB
  49. 002. 2.1 Illustrate the structure of a basic neural network.en.srt 489 bytes
  50. 002. 2.1 Illustrate the structure of a basic neural network.mp4 2.1 MB
  51. 003. 2.2 Explain the role of weights in the learning process.en.srt 2.2 KB
  52. 003. 2.2 Explain the role of weights in the learning process.mp4 7.8 MB
  53. 004. 2.3 Define basic GenAI terminology.en.srt 5.7 KB
  54. 004. 2.3 Define basic GenAI terminology.mp4 15.5 MB
  55. 005. 2.4 Describe the training process and the stochastic nature of GenAI models.en.srt 1.7 KB
  56. 005. 2.4 Describe the training process and the stochastic nature of GenAI models.mp4 5.8 MB
  57. 006. 2.5 Compare traditional deterministic programming to probabilistic GenAI models.en.srt 4.2 KB
  58. 006. 2.5 Compare traditional deterministic programming to probabilistic GenAI models.mp4 8.7 MB
  59. 001. Learning objectives.en.srt 735 bytes
  60. 001. Learning objectives.mp4 4.5 MB
  61. 002. 3.1 Design effective prompts using zero-shot, few-shot, and chain-of-thought techniques.en.srt 11.6 KB
  62. 002. 3.1 Design effective prompts using zero-shot, few-shot, and chain-of-thought techniques.mp4 31.0 MB
  63. 003. 3.2 Explain the importance of context in prompt success and result consistency.en.srt 3.8 KB
  64. 003. 3.2 Explain the importance of context in prompt success and result consistency.mp4 12.5 MB
  65. 004. 3.3 Explain Context Window and the stateless nature of an LLM connection.en.srt 1.8 KB
  66. 004. 3.3 Explain Context Window and the stateless nature of an LLM connection.mp4 3.7 MB
  67. 005. 3.4 Compare various message roles - System, User, and Assistant.en.srt 4.2 KB
  68. 005. 3.4 Compare various message roles - System, User, and Assistant.mp4 10.8 MB
  69. 006. 3.5 Describe a useful abstraction for context.en.srt 6.0 KB
  70. 006. 3.5 Describe a useful abstraction for context.mp4 15.2 MB
  71. 001. Learning objectives.en.srt 537 bytes
  72. 001. Learning objectives.mp4 3.6 MB
  73. 002. 4.1 Describe various types of programmatic access to GenAI services.en.srt 2.1 KB
  74. 002. 4.1 Describe various types of programmatic access to GenAI services.mp4 6.5 MB
  75. 003. 4.2 Compare various REST calls from popular GenAI providers.en.srt 3.0 KB
  76. 003. 4.2 Compare various REST calls from popular GenAI providers.mp4 8.5 MB
  77. 004. 4.3 Demonstrate REST calls and message components.en.srt 3.2 KB
  78. 004. 4.3 Demonstrate REST calls and message components.mp4 11.3 MB
  79. 005. 4.4 Explain the history of LangChain4j.en.srt 1.9 KB
  80. 005. 4.4 Explain the history of LangChain4j.mp4 7.0 MB
  81. 006. 4.5 Identify why an abstract API is useful for Java developers.en.srt 710 bytes
  82. 006. 4.5 Identify why an abstract API is useful for Java developers.mp4 2.4 MB
  83. 007. 4.6 Demonstrate simple LangChain4j examples.en.srt 5.8 KB
  84. 007. 4.6 Demonstrate simple LangChain4j examples.mp4 20.3 MB
  85. 001. Learning objectives.en.srt 609 bytes
  86. 001. Learning objectives.mp4 4.1 MB
  87. 002. 5.1 Define core components of LangChain4j.en.srt 2.0 KB
  88. 002. 5.1 Define core components of LangChain4j.mp4 4.2 MB
  89. 003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.en.srt 980 bytes
  90. 003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.mp4 2.7 MB
  91. 004. 5.3 Demonstrate how to send UserMessages and SystemMessages to an LLM.en.srt 5.9 KB
  92. 004. 5.3 Demonstrate how to send UserMessages and SystemMessages to an LLM.mp4 21.7 MB
  93. 005. 5.4 Implement a basic chatbot with prompt context.en.srt 2.1 KB
  94. 005. 5.4 Implement a basic chatbot with prompt context.mp4 9.2 MB
  95. 006. 5.5 Demonstrate incorporating external data as context for the chatbot.en.srt 2.5 KB
  96. 006. 5.5 Demonstrate incorporating external data as context for the chatbot.mp4 14.0 MB
  97. 007. 5.6 Apply memory to retain conversation state.en.srt 4.8 KB
  98. 007. 5.6 Apply memory to retain conversation state.mp4 11.8 MB
  99. 008. 5.7 Implement a basic chatbot using ChatMemory.en.srt 6.6 KB
  100. 008. 5.7 Implement a basic chatbot using ChatMemory.mp4 18.7 MB
  101. 001. Learning objectives.en.srt 663 bytes
  102. 001. Learning objectives.mp4 4.6 MB
  103. 002. 6.1 Identify why templates are useful.en.srt 3.2 KB
  104. 002. 6.1 Identify why templates are useful.mp4 8.2 MB
  105. 003. 6.2 Create reusable prompt templates using LangChain4j.en.srt 3.9 KB
  106. 003. 6.2 Create reusable prompt templates using LangChain4j.mp4 13.5 MB
  107. 004. 6.3 Demonstrate dynamic prompt composition using Java variables.en.srt 9.1 KB
  108. 004. 6.3 Demonstrate dynamic prompt composition using Java variables.mp4 44.7 MB
  109. 005. 6.4 Identify the advantages and disadvantages of prompt templates.en.srt 2.9 KB
  110. 005. 6.4 Identify the advantages and disadvantages of prompt templates.mp4 9.8 MB
  111. 001. Learning objectives.en.srt 573 bytes
  112. 001. Learning objectives.mp4 4.4 MB
  113. 002. 7.1 Diagram the structure of a chatbot architecture.en.srt 3.5 KB
  114. 002. 7.1 Diagram the structure of a chatbot architecture.mp4 9.3 MB
  115. 003. 7.2 Identify the roles of System, User, and Assistant messages with a chatbot.en.srt 1.1 KB
  116. 003. 7.2 Identify the roles of System, User, and Assistant messages with a chatbot.mp4 3.4 MB
  117. 004. 7.3 Explain the use of LangChain4j s AiService.en.srt 13.7 KB
  118. 004. 7.3 Explain the use of LangChain4j s AiService.mp4 40.6 MB
  119. 005. 7.4 Assess chatbot context and costs.en.srt 2.7 KB
  120. 005. 7.4 Assess chatbot context and costs.mp4 6.8 MB
  121. 006. 7.5 Demonstrate a chatbot that maintains conversational context.en.srt 1.8 KB
  122. 006. 7.5 Demonstrate a chatbot that maintains conversational context.mp4 9.6 MB
  123. 001. Learning objectives.en.srt 589 bytes
  124. 001. Learning objectives.mp4 3.9 MB
  125. 002. 8.1 Understand basic ways to get an LLM to return a useful result.en.srt 7.3 KB
  126. 002. 8.1 Understand basic ways to get an LLM to return a useful result.mp4 17.4 MB
  127. 003. 8.2 Explain the motivation and architecture behind RAG.en.srt 9.9 KB
  128. 003. 8.2 Explain the motivation and architecture behind RAG.mp4 23.2 MB
  129. 004. 8.3 Illustrate the document retrieval and injection pipeline.en.srt 7.6 KB
  130. 004. 8.3 Illustrate the document retrieval and injection pipeline.mp4 24.1 MB
  131. 005. 8.4 Identify the advantages of a RAG-based system.en.srt 2.3 KB
  132. 005. 8.4 Identify the advantages of a RAG-based system.mp4 5.3 MB
  133. 006. 8.5 Identify potential issues and failure modes of retrieval-based systems.en.srt 4.8 KB
  134. 006. 8.5 Identify potential issues and failure modes of retrieval-based systems.mp4 16.1 MB
  135. 001. Learning objectives.en.srt 778 bytes
  136. 001. Learning objectives.mp4 4.9 MB
  137. 002. 9.1 Understand why similarity is needed for GenAI.en.srt 2.1 KB
  138. 002. 9.1 Understand why similarity is needed for GenAI.mp4 7.8 MB
  139. 003. 9.2 Define embeddings and their mathematical representation.en.srt 7.8 KB
  140. 003. 9.2 Define embeddings and their mathematical representation.mp4 19.6 MB
  141. 004. 9.3 Compare 2d, 3d, and N-d embeddings.en.srt 5.7 KB
  142. 004. 9.3 Compare 2d, 3d, and N-d embeddings.mp4 15.9 MB
  143. 005. 9.4 Demonstrate how to generate a text embedding.en.srt 2.3 KB
  144. 005. 9.4 Demonstrate how to generate a text embedding.mp4 14.3 MB
  145. 006. 9.5 Describe LangChain4j s EmbeddingModel.en.srt 2.1 KB
  146. 006. 9.5 Describe LangChain4j s EmbeddingModel.mp4 7.0 MB
  147. 007. 9.6 Compute similarity between vectors to rank text relevance.en.srt 9.4 KB
  148. 007. 9.6 Compute similarity between vectors to rank text relevance.mp4 24.5 MB
  149. 001. GenAI for Busy Java Developers - Summary.en.srt 1.5 KB
  150. 001. GenAI for Busy Java Developers - Summary.mp4 9.6 MB

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