Machine Learning With Hamza Courses

The Evolution of Convolutional Neural Networks - Highlights and Main Breakthroughs

Explore the evolution of Convolutional Neural Networks from the 1980s to present day, highlighting key breakthroughs and advancements in this fundamental deep learning architecture.

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

Building Local LLMs for OCR, Object Detection and Image Parsing Using Mono-InternVL

Master local implementation of Mono-InternVL for advanced computer vision tasks including OCR, object detection, and image parsing using Python, achieving high-precision results.

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

LangGraph Crash Course - From Zero to Hero with Deep Search React Agent Project

Master LangGraph framework fundamentals and build AI agents from scratch, including advanced design patterns and a complete DeepSearch ReAct Agent project.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Interesting Experimentation With GRPO on Small LLMs

Explore GRPO training experiments on small Gemma language models with practical implementations and hands-on demonstrations in this focused machine learning tutorial.

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

Training a Reasoning Model Using DeepSeek with 7GB VRAM - A Fast Fine-tuning Guide

Master fine-tuning LLMs for reasoning tasks using GRPO and Unsloth library, requiring only 7GB VRAM. Learn environment setup, data preparation, model training, and result analysis for local implementation.

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

Code Your Own Application to Chat With Videos Locally Using Python

Learn to build a Python application that enables interactive video conversations using Vision Language Models and Computer Vision techniques for local video Q&A functionality.

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

Fine-tuning SmolVLM2 - Small Video Language Model for iPhone

Learn how to fine-tune and run SmolVLM2, the smallest video language model designed for edge devices like iPhones, with step-by-step instructions.

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

Important Python Coding Tips for Machine Learning

Discover essential Python coding techniques for machine learning across four key areas: vectorization, comprehension, built-in functions, and generators & iterators to optimize your ML code.

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

Testing the NEW Mistral OCR on Hard Tasks - Is It Really That Good?

Explore Mistral's new OCR model capabilities through rigorous testing on challenging tasks to evaluate its performance and practical applications.

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

Create a Deep Search Agent and Use It as a Chatbot Tool Like ChatGPT - Step-by-Step Python Project

Master building a Deep Search Agent like ChatGPT with Python - complete architecture, code implementation, and chatbot integration in this hands-on tutorial.

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

AI Rap Bot: Creating Lyrics and Vocals with Tacotron 2 and ChatGPT

Explore AI-powered rap generation using Tacotron 2 and ChatGPT. Learn to create a user-friendly interface with Gradio for generating lyrics and vocals.

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

How Can Neural Networks Identify Fake Face Images?

Explore neural networks' ability to detect fake face images using Grad-CAM algorithm. Learn about datasets, model training, and visualization techniques for understanding AI decision-making in image classification.

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

Visual Optimization Solver - Graphical Solution and LLM-Generated Reports

Explore a graphical solver for mathematical optimization, visualizing function minimization with equality constraints and generating LLM-based reports for enhanced understanding.

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

RAG with Llama 3.1 for Google Trends Data Scraping and Summarization - Streamlit Web App

Discover how to build a RAG pipeline using LLaMA 3.1 to automate article discovery and summarization based on Google Trends, showcased in a Streamlit web app for efficient content curation.

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