GenAI for Busy Java Developers

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Introduction
• 001. GenAI for Busy Java Developers - Introduction.en.srt (5.3 KB)
• 001. GenAI for Busy Java Developers - Introduction.mp4 (33.6 MB)
Lesson 1 - Discover AI Origins, Patterns, and AI ML Taxonomy
• 001. Learning objectives.en.srt (0.6 KB)
• 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)
Lesson 10 - Learn about Vector Stores
• 001. Learning objectives.en.srt (0.6 KB)
• 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)
Lesson 11 - Understand the Basics of Agents
• 001. Learning objectives.en.srt (0.6 KB)
• 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)
Lesson 12 - Recap and Next Steps
• 001. Learning objectives.en.srt (0.6 KB)
• 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 (1.0 KB)
• 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)
Lesson 2 - Learn about Neural Networks, Weights, and LLMs
• 001. Learning objectives.en.srt (0.7 KB)
• 001. Learning objectives.mp4 (4.4 MB)
• 002. 2.1 Illustrate the structure of a basic neural network.en.srt (0.5 KB)
• 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)
Lesson 3 - Use Prompt _Engineering_ and Context
• 001. Learning objectives.en.srt (0.7 KB)
• 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)
Lesson 4 - Learn GenAI APIs for Java Developers _ REST and Java APIs
• 001. Learning objectives.en.srt (0.5 KB)
• 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 (0.7 KB)
• 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)
Lesson 5 - Discover LangChain4j Basics
• 001. Learning objectives.en.srt (0.6 KB)
• 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 (1.0 KB)
• 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)
Lesson 6 - Use Prompt Templates
• 001. Learning objectives.en.srt (0.6 KB)
• 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)
Lesson 7 - Understand Chatbot Architecture
• 001. Learning objectives.en.srt (0.6 KB)
• 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)
Lesson 8 - Learn Retrieval Augmented Generation (RAG)
• 001. Learning objectives.en.srt (0.6 KB)
• 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)
Lesson 9 - Understand Embedding Vectors and Similarity
• 001. Learning objectives.en.srt (0.8 KB)
• 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)
Summary
• 001. GenAI for Busy Java Developers - Summary.en.srt (1.5 KB)
• 001. GenAI for Busy Java Developers - Summary.mp4 (9.6 MB)