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Udemy - Spring Ai - Creating Workflows, Agents And Parsing Data

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Udemy - Spring Ai - Creating Workflows, Agents And Parsing Data (Size: 1.4 GB)
  1 - Curse Overview and Support Material.html 614.4 B
  1 - Curse-Summary.pdf 16.2 MB
  1 - Slides-Spring-AI-Creating-Workflows-Agents-and-Parsing-data.pdf 7.8 MB
  10 - Avoiding Prompt Injection.mp4 25.4 MB
  10 - LLM01-2025-Prompt-Injection-OWASP-Gen-AI-Security-Project.pdf 194.1 KB
  11 - AI Workflows and How They Differ from Agents.mp4 28.4 MB
  12 - Workflow for Parsing Bills from CSV and PDF.mp4 139.3 MB
  13 - Add categories and suppliers in the workflow.mp4 70.1 MB
  14 - Add Support to PDF parsing.mp4 38.9 MB
  15 - PDF Processing with Image Extraction and Reasoning.mp4 46.6 MB
  16 - Agent and MCP Integration Documentation.mp4 85.8 MB
  17 - Advanced Agents Overview.mp4 15.8 MB
  18 - Assistant Interaction.mp4 19.2 MB
  19 - Create a reactive endpoint with tooling for assistant.mp4 78.8 MB
  2 - Why traditional computing fail on simple tasks.mp4 22.8 MB
  20 - FrontEnd Assistant Code.mp4 44.5 MB
  21 - Code generation using V0.mp4 11.5 MB
  22 - Fine tunning a model.mp4 158.2 MB
  3 - Quiz Prompt engineering.html 307.2 B
  3 - Spring AI VS Native Library.mp4 42.4 MB
  4 - OWASP Gen AI Security Quiz.html 512 B
  4 - What is Oneshot Prompt.mp4 159.4 MB
  5 - The Input and its parameters.mp4 175.5 MB
  6 - Choosing a LLM Provider and a model.mp4 72.9 MB
  7 - Retrieval RAG VS CAG.mp4 15.6 MB
  8 - Adding Tool Calling.mp4 65.5 MB
  9 - Azure-OpenAI-in-Azure-AI-Foundry-Models-Azure-OpenAI-Microsoft-Learn.pdf 525.2 KB
  9 - Prompt engineering.mp4 96 MB
  9 - Text-generation-and-prompting-OpenAI-API.pdf 370.9 KB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 31 total files

Description


Spring Ai: Creating Workflows, Agents And Parsing Data

https://WebToolTip.com

Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.40 GB | Duration: 2h 9m

Creating Workflows, Agents and Parsing Data create intelligent workflows, autonomous agents, and advanced data parsing

What you'll learn
Build AI-driven workflows and automation using the Spring framework and generative AI models (LLMs)
Develop intelligent AI agents in Java that can interact with APIs and data, leveraging Spring AI’s tools
Parse and analyze data with AI (NLP techniques) integrated into Spring Boot applications
Integrate OpenAI/ChatGPT and other models into Spring Boot to create real-world AI-powered features
Apply best practices in AI app development, including prompt engineering, model selection, and deployment in Java

Requirements
Intermediate Java programming experience (familiarity with Java 11+ syntax and OOP)
Basic knowledge of the Spring Boot framework (creating simple REST APIs, Spring Boot project setup)

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