Udemy - From Java Dev to AI Engineer Spring AI Fast Track (8.2025)

Creation Time	Oct. 13, 2025, 1:13 p.m.
Last Access Time	Oct. 13, 2025, 1:13 p.m.
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Keywords	From 2025 AI Spring - Dev Udemy to Track Fast 8 Java Engineer
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1 - Spring AI – Say Hello to AI in Spring Boot/1 -Course Introduction.mp4 177.4 MB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/3 -RelevancyEvaluator Demo - Ensuring LLMs Stay on Topic.mp4 130.5 MB
7 - Mastering Model Context Protocol (MCP)/8 -Building an MCP Server using STDIO - Part 1.mp4 111.1 MB
5 - The Art of Talking to Documents – RAG Unleashed/8 -Let's talk to documents using RAG.mp4 111.0 MB
7 - Mastering Model Context Protocol (MCP)/4 -Building an MCP Client with Spring AI.mp4 107.6 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/4 -Using Prompt Templates in Spring AI.mp4 105.6 MB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/6 -Chat Memory That Lasts – Spring AI with JDBC-Based Persistence.mp4 105.6 MB
1 - Spring AI – Say Hello to AI in Spring Boot/8 -Building a “Hello World” App with Spring AI and AWS Bedrock - Part 1.mp4 104.6 MB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/1 -Testing the Untestable - Evaluating LLM Responses with Spring AI.mp4 104.5 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/8 -Spring AI Built-in Advisors - Plug and Play Intelligence.mp4 100.8 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/4 -How the Tools get called by LLM internally.mp4 100.0 MB
3 - Foundations of Generative AI and LLMs/2 -Meet the Gen AI Family - AI, ML, DL, and Beyond.mp4 99.2 MB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/2 -Building Trustworthy AI with RelevancyEvaluator and FactCheckingEvaluator.mp4 95.8 MB
3 - Foundations of Generative AI and LLMs/10 -How Embedding Vectors calculated.mp4 92.0 MB
1 - Spring AI – Say Hello to AI in Spring Boot/3 -Hello World Spring AI app with OpenAI - Part 1.mp4 91.4 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/6 -Letting LLMs Talk to Databases - A Tool Calling Demo - Part 2.mp4 91.3 MB
1 - Spring AI – Say Hello to AI in Spring Boot/10 -Working with Multiple Chat Models in Spring AI.mp4 91.1 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/3 -What Are Defaults in Spring AI.mp4 90.9 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/10 -Understanding ChatOptions in Spring AI.mp4 89.1 MB
10 - Transcription, Speech, and Image Generation using Spring AI/4 -From Prompt to Picture - Image Generation with ImageModel.mp4 89.0 MB
3 - Foundations of Generative AI and LLMs/5 -Introduction to Large Language Models - The Text Experts.mp4 88.5 MB
5 - The Art of Talking to Documents – RAG Unleashed/5 -Demo of RAG using random text data - Part 1.mp4 88.0 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/9 -Custom Advisors in Spring AI - Make the AI Work Your Way.mp4 87.1 MB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/7 -Runtime Validation with Spring AI Evaluator and Spring Retry.mp4 86.6 MB
7 - Mastering Model Context Protocol (MCP)/7 -Demo of integration with GitHub MCP Server.mp4 85.8 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/5 -Letting LLMs Talk to Databases - A Tool Calling Demo - Part 1.mp4 85.1 MB
5 - The Art of Talking to Documents – RAG Unleashed/11 -Who calculates the embedding values of the documents.mp4 85.0 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/5 -Using Prompt Stuffing technique.mp4 84.9 MB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/2 -Enabling Metrics in Spring AI with Spring Boot Actuator - Part 1.mp4 84.6 MB
10 - Transcription, Speech, and Image Generation using Spring AI/2 -From Voice to Text - Using Spring AI for Transcription - Part 2.mp4 82.9 MB
5 - The Art of Talking to Documents – RAG Unleashed/6 -Demo of RAG using random text data - Part 2.mp4 81.5 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/3 -Tool Calling in Action - Teaching LLMs to Tell the Time.mp4 80.9 MB
10 - Transcription, Speech, and Image Generation using Spring AI/3 -From Text to Speech - Generating Voices with SpeechModel.mp4 80.3 MB
7 - Mastering Model Context Protocol (MCP)/2 -Inside MCP - Understanding the Architecture of Model Context Protocol.mp4 77.5 MB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/4 -FactCheckingEvaluator in Action - Catching AI Hallucinations.mp4 77.0 MB
3 - Foundations of Generative AI and LLMs/13 -The Magic of Attention - How AI Understands Context.mp4 76.6 MB
7 - Mastering Model Context Protocol (MCP)/9 -Building an MCP Server using STDIO - Part 2.mp4 76.0 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/7 -Letting LLMs Talk to Databases - A Tool Calling Demo - Part 3.mp4 72.9 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/2 -Understanding Message Roles in LLMs - Demo.mp4 72.8 MB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/4 -From Stateless to Stateful - Spring AI Memory in Action.mp4 71.8 MB
1 - Spring AI – Say Hello to AI in Spring Boot/9 -Building a “Hello World” App with Spring AI and AWS Bedrock - Part 2.mp4 71.7 MB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/2 -LLMs Forget Everything — ChatMemory to the Rescue!.mp4 71.3 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/10 -Generative AI’s Journey - From Static Chat to Dynamic Intelligence.mp4 71.1 MB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/6 -Catching Bad LLM Answers in Production with Runtime Checks.mp4 71.1 MB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/6 -Setting Up Grafana Dashboard for Spring AI Metrics.mp4 70.0 MB
5 - The Art of Talking to Documents – RAG Unleashed/4 -Setting Up Qdrant Vector Store with Spring Boot Using Docker Compose.mp4 67.9 MB
7 - Mastering Model Context Protocol (MCP)/10 -Building an MCP Server using remote invocation.mp4 67.5 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/15 -From AI Text to Java Objects - Spring AI Structured Output Demo.mp4 66.6 MB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/8 -Avoiding Token Overload - Use maxMessages with Context Window size in Mind.mp4 66.2 MB
7 - Mastering Model Context Protocol (MCP)/3 -Behind the Scenes of MCP Communication - Built-in Transport Logic.mp4 66.1 MB
1 - Spring AI – Say Hello to AI in Spring Boot/4 -Hello World Spring AI app with OpenAI - Part 2.mp4 62.6 MB
1 - Spring AI – Say Hello to AI in Spring Boot/7 -Building a “Hello World” App with Spring AI and Docker.mp4 62.2 MB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/7 -Tracing AI Operations using OTLP & Jaeger - Part 1.mp4 61.6 MB
3 - Foundations of Generative AI and LLMs/9 -Embeddings & Vectors - A way to represent meaning.mp4 61.0 MB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/4 -Enabling Prometheus Monitoring in Spring AI - Part 1.mp4 60.3 MB
3 - Foundations of Generative AI and LLMs/8 -Inside an LLM’s Dictionary - Understanding Model Vocabulary.mp4 59.4 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/11 -Configuring ChatOptions in Spring AI.mp4 59.2 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/1 -Understanding Message Roles in LLMs - Theory.mp4 58.6 MB
10 - Transcription, Speech, and Image Generation using Spring AI/1 -From Voice to Text - Using Spring AI for Transcription - Part 1.mp4 57.9 MB
5 - The Art of Talking to Documents – RAG Unleashed/3 -Meet the Vector Database - Storing Meaning, Not Just Data.mp4 57.9 MB
1 - Spring AI – Say Hello to AI in Spring Boot/6 -Building a “Hello World” App with Spring AI and Ollama.mp4 56.6 MB
3 - Foundations of Generative AI and LLMs/7 -The concept of Tokens & Token IDs in LLM.mp4 56.6 MB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/3 -Making ChatClient ‘Remember’ – Spring AI’s Memory Advisors.mp4 56.2 MB
3 - Foundations of Generative AI and LLMs/6 -Core job of an LLM - Guessing next word.mp4 56.0 MB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/5 -Using Spring AI Evaluator in a RAG Scenario.mp4 55.2 MB
7 - Mastering Model Context Protocol (MCP)/6 -Meet the MCP Inspector - The X-Ray Tool of MCP Server.mp4 54.3 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/1 -Introduction to Tool Calling in AI.mp4 53.5 MB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/8 -Tracing AI Operations using OTLP & Jaeger - Part 2.mp4 52.2 MB
1 - Spring AI – Say Hello to AI in Spring Boot/2 -What is Spring AI Framework.mp4 51.9 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/12 -Spring AI ChatClient – Response Types Explained.mp4 50.7 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/8 -Bypass the Model - Returning Tool Results Directly to the User.mp4 50.3 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/16 -Using Bean, List, and Map Output Converters in Spring AI.mp4 50.3 MB
5 - The Art of Talking to Documents – RAG Unleashed/10 -RAG Made Easy - RetrievalAugmentationAdvisor in Action.mp4 49.2 MB
1 - Spring AI – Say Hello to AI in Spring Boot/5 -Deep dive on ChatModel and ChatClient.mp4 48.2 MB
5 - The Art of Talking to Documents – RAG Unleashed/7 -Demo of RAG using random text data - Part 3.mp4 45.1 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/14 -From Text to Types - Mastering Structured Output in Spring AI.mp4 44.7 MB
3 - Foundations of Generative AI and LLMs/11 -What are Static Embeddings.mp4 44.5 MB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/7 -Using maxMessages to Limit Chat History in Spring AI.mp4 44.2 MB
5 - The Art of Talking to Documents – RAG Unleashed/9 -Breaking Down Big Documents - The Art of Chunking for LLMs.mp4 43.7 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/9 -Graceful Failure - Customizing Tool Error Responses in Spring AI.mp4 43.3 MB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/2 -LLMs vs Reality - The Time Question They Can’t Answer.mp4 43.3 MB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/1 -LLMs Don’t Remember You – The Stateless Nature of AI Models.mp4 42.5 MB
5 - The Art of Talking to Documents – RAG Unleashed/2 -Understanding the RAG flow.mp4 42.1 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/17 -Mapping AI Response to ListPOJO using ParameterizedTypeReference.mp4 40.6 MB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/5 -Per-User Memory in LLMs – Thanks to CONVERSATION_ID!.mp4 40.1 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/7 -Understanding Advisors in Spring AI Workflows.mp4 38.4 MB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/3 -Enabling Metrics in Spring AI with Spring Boot Actuator - Part 2.mp4 38.1 MB
5 - The Art of Talking to Documents – RAG Unleashed/1 -From Prompt Stuffing to RAG – A Better Way to Feed LLMs.mp4 35.1 MB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/5 -Enabling Prometheus Monitoring in Spring AI - Part 2.mp4 35.0 MB
7 - Mastering Model Context Protocol (MCP)/1 -The Missing Link in AI Apps - Understanding the Need for MCP.mp4 34.9 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/13 -Streaming AI Responses in Real-Time using stream() Method.mp4 33.2 MB
3 - Foundations of Generative AI and LLMs/1 -Tracing the Roots - How We Reached Generative AI.mp4 32.6 MB
3 - Foundations of Generative AI and LLMs/12 -Positional Embeddings - How AI Understands Word Order.mp4 32.2 MB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/6 -Why Prompt Stuffing Isn’t Meant for Big Data.mp4 31.8 MB
7 - Mastering Model Context Protocol (MCP)/5 -Demo of MCP Client and MCP Server integration.mp4 30.3 MB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/1 -Introduction to monitoring AI Operations.mp4 29.1 MB
1 - Spring AI – Say Hello to AI in Spring Boot/2 -From Java Dev to AI Engineer- Spring AI Fast Track.pdf 28.8 MB
3 - Foundations of Generative AI and LLMs/3 -Funny memes of AI.mp4 26.9 MB
3 - Foundations of Generative AI and LLMs/4 -Types of Generative AI Models.mp4 25.0 MB
11 - Thank You & Congratulations/1 -Thank You & Congratulations.mp4 19.5 MB
7 - Mastering Model Context Protocol (MCP)/4 -Building an MCP Client with Spring AI.vtt 17.8 KB
7 - Mastering Model Context Protocol (MCP)/8 -Building an MCP Server using STDIO - Part 1.vtt 17.5 KB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/3 -RelevancyEvaluator Demo - Ensuring LLMs Stay on Topic.vtt 17.5 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/4 -Using Prompt Templates in Spring AI.vtt 16.6 KB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/2 -Enabling Metrics in Spring AI with Spring Boot Actuator - Part 1.vtt 16.2 KB
5 - The Art of Talking to Documents – RAG Unleashed/8 -Let's talk to documents using RAG.vtt 16.1 KB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/6 -Chat Memory That Lasts – Spring AI with JDBC-Based Persistence.vtt 16.1 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/4 -How the Tools get called by LLM internally.vtt 14.9 KB
7 - Mastering Model Context Protocol (MCP)/7 -Demo of integration with GitHub MCP Server.vtt 14.8 KB
1 - Spring AI – Say Hello to AI in Spring Boot/3 -Hello World Spring AI app with OpenAI - Part 1.vtt 14.7 KB
3 - Foundations of Generative AI and LLMs/10 -How Embedding Vectors calculated.vtt 14.4 KB
1 - Spring AI – Say Hello to AI in Spring Boot/8 -Building a “Hello World” App with Spring AI and AWS Bedrock - Part 1.vtt 14.3 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/8 -Spring AI Built-in Advisors - Plug and Play Intelligence.vtt 14.2 KB
1 - Spring AI – Say Hello to AI in Spring Boot/4 -Hello World Spring AI app with OpenAI - Part 2.vtt 14.0 KB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/2 -Building Trustworthy AI with RelevancyEvaluator and FactCheckingEvaluator.vtt 13.7 KB
3 - Foundations of Generative AI and LLMs/2 -Meet the Gen AI Family - AI, ML, DL, and Beyond.vtt 13.7 KB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/6 -Setting Up Grafana Dashboard for Spring AI Metrics.vtt 13.6 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/3 -Tool Calling in Action - Teaching LLMs to Tell the Time.vtt 13.3 KB
10 - Transcription, Speech, and Image Generation using Spring AI/4 -From Prompt to Picture - Image Generation with ImageModel.vtt 13.2 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/5 -Letting LLMs Talk to Databases - A Tool Calling Demo - Part 1.vtt 13.2 KB
1 - Spring AI – Say Hello to AI in Spring Boot/1 -Course Introduction.vtt 13.1 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/6 -Letting LLMs Talk to Databases - A Tool Calling Demo - Part 2.vtt 12.9 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/3 -What Are Defaults in Spring AI.vtt 12.8 KB
7 - Mastering Model Context Protocol (MCP)/9 -Building an MCP Server using STDIO - Part 2.vtt 12.8 KB
1 - Spring AI – Say Hello to AI in Spring Boot/10 -Working with Multiple Chat Models in Spring AI.vtt 12.8 KB
1 - Spring AI – Say Hello to AI in Spring Boot/6 -Building a “Hello World” App with Spring AI and Ollama.vtt 12.7 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/10 -Understanding ChatOptions in Spring AI.vtt 12.7 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/9 -Custom Advisors in Spring AI - Make the AI Work Your Way.vtt 12.6 KB
3 - Foundations of Generative AI and LLMs/5 -Introduction to Large Language Models - The Text Experts.vtt 12.5 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/2 -Understanding Message Roles in LLMs - Demo.vtt 12.4 KB
7 - Mastering Model Context Protocol (MCP)/2 -Inside MCP - Understanding the Architecture of Model Context Protocol.vtt 12.2 KB
10 - Transcription, Speech, and Image Generation using Spring AI/2 -From Voice to Text - Using Spring AI for Transcription - Part 2.vtt 12.2 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/5 -Using Prompt Stuffing technique.vtt 11.9 KB
10 - Transcription, Speech, and Image Generation using Spring AI/3 -From Text to Speech - Generating Voices with SpeechModel.vtt 11.9 KB
5 - The Art of Talking to Documents – RAG Unleashed/5 -Demo of RAG using random text data - Part 1.vtt 11.9 KB
7 - Mastering Model Context Protocol (MCP)/3 -Behind the Scenes of MCP Communication - Built-in Transport Logic.vtt 11.8 KB
5 - The Art of Talking to Documents – RAG Unleashed/11 -Who calculates the embedding values of the documents.vtt 11.8 KB
5 - The Art of Talking to Documents – RAG Unleashed/6 -Demo of RAG using random text data - Part 2.vtt 11.8 KB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/4 -Enabling Prometheus Monitoring in Spring AI - Part 1.vtt 11.7 KB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/7 -Runtime Validation with Spring AI Evaluator and Spring Retry.vtt 11.6 KB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/4 -From Stateless to Stateful - Spring AI Memory in Action.vtt 11.5 KB
7 - Mastering Model Context Protocol (MCP)/10 -Building an MCP Server using remote invocation.vtt 11.5 KB
1 - Spring AI – Say Hello to AI in Spring Boot/9 -Building a “Hello World” App with Spring AI and AWS Bedrock - Part 2.vtt 11.5 KB
1 - Spring AI – Say Hello to AI in Spring Boot/7 -Building a “Hello World” App with Spring AI and Docker.vtt 11.4 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/7 -Letting LLMs Talk to Databases - A Tool Calling Demo - Part 3.vtt 10.7 KB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/6 -Catching Bad LLM Answers in Production with Runtime Checks.vtt 10.6 KB
3 - Foundations of Generative AI and LLMs/8 -Inside an LLM’s Dictionary - Understanding Model Vocabulary.vtt 10.6 KB
5 - The Art of Talking to Documents – RAG Unleashed/4 -Setting Up Qdrant Vector Store with Spring Boot Using Docker Compose.vtt 10.5 KB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/8 -Tracing AI Operations using OTLP & Jaeger - Part 2.vtt 10.4 KB
3 - Foundations of Generative AI and LLMs/7 -The concept of Tokens & Token IDs in LLM.vtt 10.3 KB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/4 -FactCheckingEvaluator in Action - Catching AI Hallucinations.vtt 10.2 KB
10 - Transcription, Speech, and Image Generation using Spring AI/1 -From Voice to Text - Using Spring AI for Transcription - Part 1.vtt 10.2 KB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/8 -Avoiding Token Overload - Use maxMessages with Context Window size in Mind.vtt 10.2 KB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/2 -LLMs Forget Everything — ChatMemory to the Rescue!.vtt 10.1 KB
7 - Mastering Model Context Protocol (MCP)/6 -Meet the MCP Inspector - The X-Ray Tool of MCP Server.vtt 9.5 KB
3 - Foundations of Generative AI and LLMs/13 -The Magic of Attention - How AI Understands Context.vtt 9.3 KB
3 - Foundations of Generative AI and LLMs/6 -Core job of an LLM - Guessing next word.vtt 9.3 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/15 -From AI Text to Java Objects - Spring AI Structured Output Demo.vtt 9.2 KB
5 - The Art of Talking to Documents – RAG Unleashed/3 -Meet the Vector Database - Storing Meaning, Not Just Data.vtt 9.2 KB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/7 -Tracing AI Operations using OTLP & Jaeger - Part 1.vtt 9.2 KB
3 - Foundations of Generative AI and LLMs/9 -Embeddings & Vectors - A way to represent meaning.vtt 9.1 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/10 -Generative AI’s Journey - From Static Chat to Dynamic Intelligence.vtt 9.0 KB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/1 -Testing the Untestable - Evaluating LLM Responses with Spring AI.vtt 8.7 KB
5 - The Art of Talking to Documents – RAG Unleashed/2 -Understanding the RAG flow.vtt 8.4 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/11 -Configuring ChatOptions in Spring AI.vtt 8.1 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/1 -Understanding Message Roles in LLMs - Theory.vtt 8.0 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/2 -LLMs vs Reality - The Time Question They Can’t Answer.vtt 8.0 KB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/3 -Making ChatClient ‘Remember’ – Spring AI’s Memory Advisors.vtt 8.0 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/6 -Why Prompt Stuffing Isn’t Meant for Big Data.vtt 7.9 KB
1 - Spring AI – Say Hello to AI in Spring Boot/5 -Deep dive on ChatModel and ChatClient.vtt 7.7 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/12 -Spring AI ChatClient – Response Types Explained.vtt 7.7 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/14 -From Text to Types - Mastering Structured Output in Spring AI.vtt 7.7 KB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/1 -LLMs Don’t Remember You – The Stateless Nature of AI Models.vtt 7.5 KB
3 - Foundations of Generative AI and LLMs/11 -What are Static Embeddings.vtt 7.4 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/1 -Introduction to Tool Calling in AI.vtt 7.3 KB
8 - From Testing to Production – Making AI Answers Safer with Evaluators/5 -Using Spring AI Evaluator in a RAG Scenario.vtt 7.2 KB
5 - The Art of Talking to Documents – RAG Unleashed/7 -Demo of RAG using random text data - Part 3.vtt 7.1 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/16 -Using Bean, List, and Map Output Converters in Spring AI.vtt 7.1 KB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/5 -Enabling Prometheus Monitoring in Spring AI - Part 2.vtt 7.0 KB
1 - Spring AI – Say Hello to AI in Spring Boot/2 -What is Spring AI Framework.vtt 7.0 KB
3 - Foundations of Generative AI and LLMs/3 -Funny memes of AI.vtt 6.9 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/8 -Bypass the Model - Returning Tool Results Directly to the User.vtt 6.8 KB
5 - The Art of Talking to Documents – RAG Unleashed/1 -From Prompt Stuffing to RAG – A Better Way to Feed LLMs.vtt 6.8 KB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/3 -Enabling Metrics in Spring AI with Spring Boot Actuator - Part 2.vtt 6.8 KB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/5 -Per-User Memory in LLMs – Thanks to CONVERSATION_ID!.vtt 6.7 KB
5 - The Art of Talking to Documents – RAG Unleashed/9 -Breaking Down Big Documents - The Art of Chunking for LLMs.vtt 6.5 KB
4 - Teaching LLMs to Remember - The Power of Chat Memory in Spring AI/7 -Using maxMessages to Limit Chat History in Spring AI.vtt 6.5 KB
5 - The Art of Talking to Documents – RAG Unleashed/10 -RAG Made Easy - RetrievalAugmentationAdvisor in Action.vtt 6.4 KB
6 - Tool Calling in Action - Giving LLMs the Power to Do Things/9 -Graceful Failure - Customizing Tool Error Responses in Spring AI.vtt 6.4 KB
7 - Mastering Model Context Protocol (MCP)/5 -Demo of MCP Client and MCP Server integration.vtt 6.3 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/7 -Understanding Advisors in Spring AI Workflows.vtt 6.2 KB
3 - Foundations of Generative AI and LLMs/1 -Tracing the Roots - How We Reached Generative AI.vtt 6.0 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/13 -Streaming AI Responses in Real-Time using stream() Method.vtt 5.7 KB
3 - Foundations of Generative AI and LLMs/12 -Positional Embeddings - How AI Understands Word Order.vtt 5.5 KB
9 - Observability in Spring AI - Metrics, Monitoring & Tracing/1 -Introduction to monitoring AI Operations.vtt 5.2 KB
2 - Spring AI Essentials - Prompts, Advisors, and Structured Responses/17 -Mapping AI Response to ListPOJO using ParameterizedTypeReference.vtt 4.9 KB
7 - Mastering Model Context Protocol (MCP)/1 -The Missing Link in AI Apps - Understanding the Need for MCP.vtt 4.6 KB
3 - Foundations of Generative AI and LLMs/4 -Types of Generative AI Models.vtt 4.3 KB
11 - Thank You & Congratulations/1 -Thank You & Congratulations.vtt 2.0 KB
1 - Spring AI – Say Hello to AI in Spring Boot/2 - Details of Source Code, PDF Content & other instructions for the course.html 1.8 KB

Udemy - From Java Dev to AI Engineer Spring AI Fast Track (8.2025)

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