Code With Aarohi Courses

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

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

Agentic RAG with Agno Framework - L-18

Discover how Agentic RAG combines traditional RAG with AI planning and reasoning using the Agno Framework, featuring real-world examples with knowledge bases and vector databases.

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

What is MCP - Model Context Protocol - L-19

Discover how Model Context Protocol (MCP) simplifies AI integration with automatic tool discovery, seamless API updates, and scalable applications through practical examples.

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

Understanding Agno (formerly Phidata) - Multimodal Agentic AI Framework - L-16

Discover Agno's lightweight multimodal AI framework - build agents in microseconds with just 6.5 KiB per agent, handling text, images, audio & video for real-world applications.

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

Agno Tutorial - Create AI Agents with Tools and Memory - L-17

Discover how to build intelligent AI agents using the open-source Agno framework with tools and memory for advanced contextual interactions in this hands-on tutorial.

• YouTube
• 34 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

YOLO11 Instance Segmentation on Custom Dataset

Perform instance segmentation on custom datasets using YOLO11, focusing on brain tumor detection with step-by-step guidance and resources.

• YouTube
• 20 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