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[ WebToolTip com ] Udemy - Master AI Agent Development - LangChain, OpenAI, Ollama, MCP

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Name:[ WebToolTip com ] Udemy - Master AI Agent Development - LangChain, OpenAI, Ollama, MCP

Infohash: 0EAAD3C2182098AE40DB32714AF587D276B50431

Total Size: 3.77 GB

Seeds: 1

Leechers: 161

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2025-10-25 13:00:41 (Update Now)

Torrent added: 2025-10-25 13:00:37




Torrent Files List


Get Bonus Downloads Here.url (Size: 3.77 GB) (Files: 53)

 Get Bonus Downloads Here.url

0.18 KB

 ~Get Your Files Here !

  1 - Introduction to MCP

   1 - What is MCP - MCP.pptx

953.96 KB

   1 - What is MCP.mp4

168.43 MB

   2 - Understanding FASTMCP A Python Framework for Building and Developing MCP.mp4

100.50 MB

   3 - Building a FastMCP setup integrated with a local database and an Ollama Agent - server.py

2.43 KB

   3 - Building a FastMCP setup integrated with a local database and an Ollama Agent.mp4

343.13 MB

  2 - Developing AI Agents with Ollama ( Local LLM's )

   1 - Understanding Embeddings in the world of NLP - embeddings.pptx

1.21 MB

   1 - Understanding Embeddings in the world of NLP.mp4

159.12 MB

   2 - Running Our First Local LLM using Qwen Model - app.py

0.46 KB

   2 - Running Our First Local LLM using Qwen Model - requirements.txt

0.01 KB

   2 - Running Our First Local LLM using Qwen Model.mp4

89.69 MB

   3 - Building a RAG-powered Assistant with LLaMA 3.1 using Pinecone - llama-rag.ipynb

6.87 KB

   3 - Building a RAG-powered Assistant with LLaMA 3.1 using Pinecone.mp4

312.20 MB

   4 - Deepseek Coder Assistant - app.py

6.02 KB

   4 - Deepseek Coder Assistant - requirements.txt

0.03 KB

   4 - Deepseek Coder Assistant.mp4

124.35 MB

  3 - Developing AI Agents with Langchain & OpenAI

   1 - LangChain Agents - Guide.docx

15.17 KB

   1 - LangChain Agents - Recording 2025-09-17 080254.mp4

48.36 MB

   1 - LangChain Agents - agent.ipynb

74.35 KB

   1 - LangChain Agents - requirements.txt

0.17 KB

   1 - LangChain Agents.mp4

70.83 MB

   2 - AI Voice Agent Emotion Analysis & Wellness Companion - app.py

5.01 KB

   2 - AI Voice Agent Emotion Analysis & Wellness Companion - requirements.txt

0.16 KB

   2 - AI Voice Agent Emotion Analysis & Wellness Companion.mp4

162.37 MB

   3 - Virtual AI Based Talking Agents.mp4

80.37 MB

   4 - AI Copilot Agent - agent.ipynb

3.74 KB

   4 - AI Copilot Agent - app.py

0.65 KB

   4 - AI Copilot Agent.mp4

133.26 MB

   5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS - app.py

1.94 KB

   5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS - main.py

1.21 KB

   5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS - whisper.py

1.62 KB

   5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS.mp4

134.19 MB

   6 - AI Fitness & Diet Planner Agent - app.py

2.11 KB

   6 - AI Fitness & Diet Planner Agent.mp4

106.88 MB

  4 - Introduction to Huggingface & GPT Models

   1 - Hugging Face Tutorial.mp4

138.80 MB

   2 - Exploring the GPT-2 Model and Understanding Custom Datasets with Hugging Face.mp4

146.59 MB

   3 - Deep Understanding of Language Models - Language Models.pptx

1.79 MB

   3 - Deep Understanding of Language Models.mp4

105.17 MB

   4 - Inside Transformer Architecture How It Works - Transformer Model.pptx

3.01 MB

   4 - Inside Transformer Architecture How It Works.mp4

229.39 MB

  5 - Introduction to Pytorch

   1 - PyTorch Core Principles and Foundations - Introduction_to_PyTorch.pdf

789.25 KB

   1 - PyTorch Core Principles and Foundations.mp4

200.09 MB

  6 - Introduction to LlamaIndex

   1 - What is LlamaIndex & its Use-Cases.mp4

125.24 MB

  7 - Fine-Tuning LLMs Made Simple From Concepts to Hands-On Implementation

   1 - Mastering Fine-Tuning Exploring Types & Techniques in the LLM Era - fine-tuning.pptx

817.50 KB

   1 - Mastering Fine-Tuning Exploring Types & Techniques in the LLM Era.mp4

133.42 MB

   2 - Fine-Tuning VS RAG - fine-tuning-vs-RAG.pptx

1.01 MB

   2 - Fine-Tuning VS RAG.mp4

83.80 MB

   3 - Hands-On Fine-Tuning From Theory to Practice - fine-tuning.ipynb

48.14 KB

   3 - Hands-On Fine-Tuning From Theory to Practice.mp4

447.96 MB

  8 - Build & Deploy Local LLM's Using Colab Notebook

   1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud - app2.py

1.24 KB

   1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud - ollama_with_ngrok.ipynb

102.08 KB

   1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud.mp4

207.31 MB

  Bonus Resources.txt

0.07 KB
 

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