Udemy - Master AI Agent Development - LangChain, OpenAI, Ollama, ...

Code:

• Get Bonus Downloads Here.url (0.2 KB)
• 1 - What is MCP - MCP.pptx (954.0 KB)
• 1 - What is MCP.mp4 (168.4 MB)
• 2 - Understanding FASTMCP A Python Framework for Building and Developing MCP.mp4 (100.5 MB)
• 3 - Building a FastMCP setup integrated with a local database and an Ollama Agent - server.py (2.4 KB)
• 3 - Building a FastMCP setup integrated with a local database and an Ollama Agent.mp4 (343.1 MB)
• 1 - Understanding Embeddings in the world of NLP - embeddings.pptx (1.2 MB)
• 1 - Understanding Embeddings in the world of NLP.mp4 (159.1 MB)
• 2 - Running Our First Local LLM using Qwen Model - app.py (0.5 KB)
• 2 - Running Our First Local LLM using Qwen Model - requirements.txt (0.0 KB)
• 2 - Running Our First Local LLM using Qwen Model.mp4 (89.7 MB)
• 3 - Building a RAG-powered Assistant with LLaMA 3.1 using Pinecone - llama-rag.ipynb (6.9 KB)
• 3 - Building a RAG-powered Assistant with LLaMA 3.1 using Pinecone.mp4 (312.2 MB)
• 4 - Deepseek Coder Assistant - app.py (6.0 KB)
• 4 - Deepseek Coder Assistant - requirements.txt (0.0 KB)
• 4 - Deepseek Coder Assistant.mp4 (124.4 MB)
• 1 - LangChain Agents - Guide.docx (15.2 KB)
• 1 - LangChain Agents - Recording 2025-09-17 080254.mp4 (48.4 MB)
• 1 - LangChain Agents - agent.ipynb (74.3 KB)
• 1 - LangChain Agents - requirements.txt (0.2 KB)
• 1 - LangChain Agents.mp4 (70.8 MB)
• 2 - AI Voice Agent Emotion Analysis & Wellness Companion - app.py (5.0 KB)
• 2 - AI Voice Agent Emotion Analysis & Wellness Companion - requirements.txt (0.2 KB)
• 2 - AI Voice Agent Emotion Analysis & Wellness Companion.mp4 (162.4 MB)
• 3 - Virtual AI Based Talking Agents.mp4 (80.4 MB)
• 4 - AI Copilot Agent - agent.ipynb (3.7 KB)
• 4 - AI Copilot Agent - app.py (0.7 KB)
• 4 - AI Copilot Agent.mp4 (133.3 MB)
• 5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS - app.py (1.9 KB)
• 5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS - main.py (1.2 KB)
• 5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS - whisper.py (1.6 KB)
• 5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS.mp4 (134.2 MB)
• 6 - AI Fitness & Diet Planner Agent - app.py (2.1 KB)
• 6 - AI Fitness & Diet Planner Agent.mp4 (106.9 MB)
• 1 - Hugging Face Tutorial.mp4 (138.8 MB)
• 2 - Exploring the GPT-2 Model and Understanding Custom Datasets with Hugging Face.mp4 (146.6 MB)
• 3 - Deep Understanding of Language Models - Language Models.pptx (1.8 MB)
• 3 - Deep Understanding of Language Models.mp4 (105.2 MB)
• 4 - Inside Transformer Architecture How It Works - Transformer Model.pptx (3.0 MB)
• 4 - Inside Transformer Architecture How It Works.mp4 (229.4 MB)
• 1 - PyTorch Core Principles and Foundations - Introduction_to_PyTorch.pdf (789.2 KB)
• 1 - PyTorch Core Principles and Foundations.mp4 (200.1 MB)
• 1 - What is LlamaIndex & its Use-Cases.mp4 (125.2 MB)
• 1 - Mastering Fine-Tuning Exploring Types & Techniques in the LLM Era - fine-tuning.pptx (817.5 KB)
• 1 - Mastering Fine-Tuning Exploring Types & Techniques in the LLM Era.mp4 (133.4 MB)
• 2 - Fine-Tuning VS RAG - fine-tuning-vs-RAG.pptx (1.0 MB)
• 2 - Fine-Tuning VS RAG.mp4 (83.8 MB)
• 3 - Hands-On Fine-Tuning From Theory to Practice - fine-tuning.ipynb (48.1 KB)
• 3 - Hands-On Fine-Tuning From Theory to Practice.mp4 (448.0 MB)
• 1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud - app2.py (1.2 KB)
• 1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud - ollama_with_ngrok.ipynb (102.1 KB)
• 1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud.mp4 (207.3 MB)
• Bonus Resources.txt (0.1 KB)