Code With Aarohi Courses

Understanding Diffusion Models: A Step-by-Step Mathematical Explanation

Dive into the mathematics and core principles of diffusion models, exploring both forward and reverse processes for image generation through step-by-step mathematical explanations.

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

Running Qwen 2.5 Locally - Implementation Methods with Hugging Face and Ollama

Master practical methods for running Qwen 2.5 locally, exploring both Hugging Face transformers and Ollama+LangGraph implementations for building custom AI applications.

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

Creating Agents in LangGraph - Using LLMs and Tools - Lecture 16

Master the creation of AI agents in LangGraph through hands-on examples, learning to integrate tools and LLMs for building powerful stateful workflows and generating automated responses.

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

AI-Powered Trip Planner Using CrewAI, LangChain and Streamlit - Step-by-Step Guide - Lesson 21

Discover how to build an AI travel assistant using CrewAI, LangChain, and Streamlit that creates personalized trip plans instantly based on user preferences through a step-by-step coding walkthrough.

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

Building Multi-Agent AI Systems with LangGraph - Lesson 18

Master the implementation of multi-agent AI systems using LangGraph, from setting up specialized agents for reception, research, math, billing and support to enabling efficient inter-agent communication and workflow automation.

• YouTube
• 35 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

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

Implementing GANs to Generate Synthetic Human Faces Using CelebA Dataset

Master the art of generating realistic human faces using GANs with PyTorch. Learn to build and train Generator and Discriminator networks from scratch using the CelebA dataset for creating synthetic facial images.

• YouTube
• 55 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

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

Understanding AI Agents and LLM Agents - A Comprehensive Introduction

Explore the fundamentals of AI and LLM agents, their autonomous operations, and real-world applications in recommendation systems, self-driving cars, and natural language processing.

• YouTube
• 14 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