Code With Aarohi Courses

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

2 ratings

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

Object Detection with Deep Learning - Complete Tutorial

1 rating

Master object detection with YOLO, R-CNN, and SSD through hands-on Python implementations, custom datasets, and real-world applications like traffic signs and disease detection.

• YouTube
• 13 hours 8 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

YOLO11 Tutorial on Object Detection, Segmentation, Pose Estimation and Image Classification

Learn cutting-edge object detection, segmentation, pose estimation, and image classification using YOLO11. Master state-of-the-art techniques for fast, accurate, and flexible computer vision tasks.

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

Generative Adversarial Networks - A Beginner's Guide to GANs

Discover the fundamentals of Generative Adversarial Networks (GANs), from basic architecture to loss calculations, with clear explanations of generators, discriminators, and their practical applications.

• YouTube
• 53 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

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

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

YOLOv11 for Real-Time Class-Wise Vehicle Counting and Tracking

Master real-time vehicle detection and tracking using YOLO11, implementing class-wise counting with BoT-SORT and ByteTrack algorithms for traffic analysis and smart city applications.

• YouTube
• 37 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

Image Classification Using Vision Transformers on Google Colab

Master Vision Transformers implementation for custom image classification using Google Colab, covering environment setup, model training, and performance evaluation techniques.

• YouTube
• 27 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

Building Agents in LangChain from Scratch - Lesson 13

Master the creation of intelligent LangChain agents by learning to integrate various tools with LLMs, implement custom functionalities, and develop practical solutions for real-world automation tasks.

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

Building Intelligent Agents with LangChain - Tools and Implementation - Lesson 12

Master the creation of intelligent LangChain agents by learning to combine tools and LLMs, from fundamental concepts to practical implementation with search tools and calculators.

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