Udemy - Build GenAI and Multi-Agent Systems Tools for Software Te...

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 3.7 GB
  • Uploaded By freecoursewb
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  • Last checked 12 hours ago
  • Date uploaded 5 months ago
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Infohash : B34D6F473BE5F94EFFC6FAFE1B79EBAED608B7AA



Build GenAI & Multi-Agent Systems Tools for Software Testing

https://WebToolTip.com

Published 7/2025
Created by Karthik KK
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 60 Lectures ( 7h 14m ) | Size: 3.71 GB

Build powerful AI Agents and Multi-Agent tools for QA workflows using LangChain and AutoGen — hands-on & practical !

What you'll learn
Understand the power of LLMs in Software Testing
Understand how to use LangChain to interact with LLMs
Understand how to using Local LLMs with Ollama for Building Agent tools with LangChain
Understand building AI Agents, MultiAgents and Toolings for Software Testing
Understand the power of AI Agents to simplify Software Testing processes

Requirements
Basic knowledge of python or any programming language
Basic knowledge of working with ChatGPT or simple prompts

Files:

[ WebToolTip.com ] Udemy - Build GenAI and Multi-Agent Systems Tools for Software Testing
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Introduction to Gen AI, AI Agents, Multi-Agent Systems
    • 1 -Introduction.mp4 (82.0 MB)
    • 2 -Introduction to Gen AI.mp4 (73.3 MB)
    • 3 -What is AI Agents.mp4 (70.2 MB)
    • 4 -What is Model Context Protocol and seeing a practical Demo.mp4 (81.3 MB)
    • 5 -What is Multi-Agent Systems.mp4 (74.0 MB)
    • 6 -Multi-Agent System practical Demonstration.mp4 (111.0 MB)
    • 7 -Different Frameworks to build AI Agent, Multi-Agent Systems.mp4 (60.3 MB)
    10 - Building Test Case Generator AI Agent
    • 1 -Introduction.mp4 (12.7 MB)
    • 2 -Building Test Case Generator Tool for AI Agent.mp4 (58.3 MB)
    • 3 -Run Test Case Generator Agent with Local LLMs.mp4 (94.6 MB)
    • 4 -Using two LLMs Model for Agents and Tools for Parallel Execution.mp4 (65.8 MB)
    • 5 -Using Google Gemini Model instead of Local LLMs with Ollama.mp4 (121.2 MB)
    • 6 -Writing Requirement Gathering features from External tool in our existing code.mp4 (63.8 MB)
    • 7 -Running the Test Case Generator AI Agent with Requirement gathered from PDF.mp4 (64.2 MB)
    11 - Agentic Multi-Agent System with AutoGen - AutoGen Studio
    • 1 -Introduction.mp4 (61.4 MB)
    • 2 -Installation, Getting started with AutoGen Studio - UI Based MultiAgent System.mp4 (71.6 MB)
    • 3 -Run Session from MultiAgent Group - UserProxyAgent, AIAssistant and WebSurfer.mp4 (59.7 MB)
    • 4 -Creating Tools from AutoGen Studio.mp4 (81.2 MB)
    12 - Building Agentic Multi-Agent Test Case Generator with AutoGen
    • 1 -Introduction, Setup of AutoGen for Ollama.mp4 (96.9 MB)
    • 3 -Creating UserProxyAgent and Run the MultiAgent System to generate BDD Test case.mp4 (62.1 MB)
    2 - Running LLMs locally using Ollama
    • 1 -Introduction.mp4 (28.9 MB)
    • 2 -Understanding different AI Models.mp4 (21.1 MB)
    • 3 -Running LLMs locally using Ollama.mp4 (61.9 MB)
    • 4 -Using Ollama Models in GUI.mp4 (29.4 MB)
    • 5 -Understanding Ollama with few more command line interface commands.mp4 (13.4 MB)
    • 6 -Starting Ollama with API to run as a API server.mp4 (31.4 MB)
    3 - Installation and Setup
    • 1 -Introduction to Installation.mp4 (75.8 MB)
    • 2 -Installation of Jupyter notebooks.mp4 (44.0 MB)
    4 - Foundation - Understand LangChain Basics to build of AI Software Test Systems
    • 1 -Introduction to LangChain.mp4 (68.0 MB)
    • 2 -LangChain Step for Ollama to interact with Local LLMs.mp4 (73.0 MB)
    • 3 -Interacting with Local LLMs with Ollama using LangChain.mp4 (74.8 MB)
    • 4 -Message Streaming with LangChain.mp4 (66.0 MB)
    • 5 -Understanding Prompt Templating for reusable Prompts.mp4 (104.2 MB)
    • 6 -Understanding Chaining Mechanism in LangChain.mp4 (103.9 MB)
    • 7 -Understanding Chaining with Output Parsers.mp4 (66.9 MB)
    5 - Foundation - Working with External Document Reading and Parsing
    • 1 -Introduction.mp4 (96.4 MB)
    • 2 -Loading Requirement Document PDF files (Used for LLMs knowledge).mp4 (44.7 MB)
    • 3 -Storing Requirement Documentation in Array.mp4 (65.3 MB)
    • 4 -Splitting Documents into smaller Chunks.mp4 (125.6 MB)
    6 - Foundation - Storing and Retrieving Documents from Vector Stores with LLMs
    • 1 -Introduction.mp4 (51.8 MB)
    • 2 -Creating Embedding of Documents to store in Vector Stores.mp4 (47.1 MB)
    • 3 -Storing Data in Vector Stores.mp4 (41.4 MB)
    • 4 -Retrieving Document from Vector stores using RetrievalQA.mp4 (50.2 MB)
    • 5 -Retrieval of Document and verify if LLMs can generate fine data.mp4 (37.2 MB)
    7 - Foundation - Building AI Agents and Tools
    • 1 -Introduction.mp4 (74.0 MB)
    • 2 -Wikipedia AI Agent to search online for any data with Local LLMs.mp4 (71.9 MB)
    • 3 -Building Simple Custom AI Agent and Toolings with Math knowledge.mp4 (76.4 MB)
    • 4 -Calling Multiple Tools for AI Agents with Math knowledge.mp4 (47.8 MB)
    8 - Building Web Scrapping AI Agent with Playwright Tool Kit
    • 1 -Introduction.mp4 (34.4 MB)
    • 2 -Setting up Playwright Tool with LangChain.mp4 (47.0 MB)
    • 3 -Getting all the Tools inside Playwright ToolKit.mp4 (64.8 MB)
    • 4 -Working with Playwright ToolKit tools to navigate and get elements from UI.mp4 (58.6 MB)
    • 5 -Building AI Agent for Web Scrapping with Playwright Tools.mp4 (69.9 MB)
    9 - Building Custom Log Parser along with RAG AI Agent
    • 1 -Introduction.mp4 (61.0 MB)
    • 2 -Building Simple Log Parsing Tool for our AI Agent.mp4 (39.5 MB)
    • 3 -Adding More Custom Tools along with Log Parsing Tool.mp4 (41.4 MB)
    • 4 -Running the AI Agent with Custom Log Parser Tool.mp4 (88.5 MB)
    • 5 -Bringing RAG into Log Parser to Store the Logs into Vector Stores.mp4 (54.5 MB)
    • 6 -Creating Tool with AI Agent along with RAG for Log Parsing.mp4 (86.0 MB)
    • Bonus Resources.txt (0.1 KB)

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