Code With Aarohi Courses

Open3D Tutorial - 3D Data Processing - Visualize 3D Data

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Learn to process and visualize 3D data using Open3D library. Explore point clouds, meshes, and 3D models. Hands-on tutorial covers installation, folder structure, and voxel downsampling techniques.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Segment Anything Model 2 (SAM 2) - Advanced Image and Video Segmentation

Explore Meta AI's advanced image and video segmentation model SAM 2, its capabilities, and implementation for zero-shot object segmentation tasks.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Building a Q&A App with RAG, LangChain, and Open-Source LLMs - Step-by-Step Guide

Step-by-step guide to building a Q&A application using RAG, LangChain, and open-source LLMs. Learn to create a sophisticated system leveraging cutting-edge AI technology for efficient question answering.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Build a Q&A App with RAG Using Gemini Pro and LangChain

Learn to create an intelligent Q&A app using Retrieval-Augmented Generation, Gemini Pro, and LangChain. Master advanced retrieval techniques to enhance chatbot performance and build a powerful AI-driven application.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Retrieval-Augmented Generation: Enhancing AI Models - Lecture 7

Explore Retrieval-Augmented Generation (RAG): theory, components, and practical implementation. Enhance AI models' capabilities with this comprehensive overview for beginners and enthusiasts alike.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Chat with Database using LangChain - Lecture 5

Learn to interact with MySQL databases using LangChain and LLMs. Create an app that translates English inputs into SQL queries, retrieves data, and presents results.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

YOLO11 Custom Object Detection Tutorial - Step by Step

Implement custom object detection using YOLO11, from dataset preparation to model training and inference, with step-by-step guidance.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Building a Simple Reflex Agent in Python - Create a Smart Room Cleaning Agent

Dive into building a simple reflex agent in Python that navigates a 2x2 grid to detect and clean dirty rooms, using if-then logic and Matplotlib for visualization.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Types of AI Agents - Explained with Examples - L-7

Explore the five major types of AI agents, including reflex, model-based, goal-based, utility-based, and learning agents, with clear examples of how they perceive and act in different environments.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

How to Fine-Tune DeepSeek R1 LLM - Step-by-Step Tutorial

Learn to fine-tune the DeepSeek R1 LLM with this step-by-step guide covering environment setup, cloud GPU usage, training with PEFT and LoRA, and running inference with your customized model.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Learning Agents Using Q-Learning: Theory and Code - Agentic AI Course Lecture 13

Dive into Q-Learning for reinforcement learning with both theoretical foundations and Python implementation. Master learning agents, Q-tables, epsilon-greedy strategies, and code a simple environment from scratch.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

LangGraph - Agentic AI Framework - Lecture 14

Master LangGraph for building agentic AI systems with step-by-step guidance on creating chatbots, implementing custom tools, connecting multiple agents, and exploring real-world applications.

• YouTube
• 2 hours 26 minutes
• Self-Paced
• Free Video

CrewAI - Agentic AI Framework - Lesson 15

Explore CrewAI, an agentic AI framework that enables multiple AI agents to collaborate like real-world teams, with practical demonstrations of research, writing, and automation workflows using web search tools.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Reinforcement Learning Basics - Agentic AI Course - Lecture 11

Dive into Reinforcement Learning basics through relatable examples like dog training, exploring key components such as agents, environment, states, actions, rewards, and policy.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Faster R-CNN Object Detection with PyTorch - Custom Dataset Training Guide

Master object detection with Faster R-CNN by learning dataset preparation in COCO format, model training with ResNet-50 FPN backbone, and performing inference on custom datasets for chairs, tables, and humans.

• YouTube
• 49 minutes
• Self-Paced
• Free Video