Model Training Courses and Certifications

Aladdin Persson

CycleGAN Implementation From Scratch

Learn to implement CycleGAN from scratch, covering discriminator, generator, dataset preparation, and training process for image-to-image translation tasks.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Aladdin Persson

PyTorch Image Segmentation Tutorial with U-NET - Everything From Scratch

Learn to implement U-NET for image segmentation from scratch, covering model architecture, dataset preparation, training process, and evaluation techniques in PyTorch.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Aladdin Persson

Classifying Skin Cancer - TensorFlow Tutorial

Build a TensorFlow model to classify skin lesions as benign or malignant. Learn preprocessing, model setup, training, and evaluation using metrics like ROC curves for this important medical application.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Software Engineering Courses - SE Courses

Stable Diffusion DreamBooth Tutorial Using Automatic1111 Web UI - Ultra Detailed

Comprehensive guide to Stable Diffusion DreamBooth: installation, training, fine-tuning, and advanced techniques for creating high-quality AI-generated images with custom subjects and styles.

• YouTube
• 1 hour 40 minutes
• On-Demand
• Free Video

TensorFlow

Machine Learning on Your Device - The Options

Explore TensorFlow's options for integrating machine learning into mobile apps and edge devices, from model training to deployment using TensorFlow Lite.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Andrej Karpathy

Building Makemore - MLP

Implement a multilayer perceptron character-level language model, covering machine learning basics like model training, hyperparameter tuning, evaluation, and addressing under/overfitting.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Andrej Karpathy

The Spelled-Out Intro to Language Modeling - Building Makemore

Comprehensive tutorial on building a bigram character-level language model, covering tensor operations, neural networks, and PyTorch fundamentals for natural language processing tasks.

• YouTube
• 1 hour 58 minutes
• On-Demand
• Free Video

Hardware.ai

Speech-to-Intent on MCU: TinyML for Efficient Device Control - Lecture 6

Learn efficient speech-to-intent techniques for MCUs, focusing on direct parsing of user utterances into actionable output. Explore model training, deployment, and testing on Wio Terminal.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Hardware.ai

Wio Terminal TinyML Course - Anomaly Detection for Predictive Maintenance with Blynk IoT Platform

Learn to implement anomaly detection for predictive maintenance using Wio Terminal, TinyML, and Blynk IoT platform. Covers data collection, model training, testing, and integration with IoT systems.

• YouTube
• 21 minutes
• On-Demand
• Free Video

tinyML

TinyML AutoML Tutorial: Building Production-ready Models with Imagimob AI

Explore Imagimob AI platform for creating production-ready ANN models for time-series data on resource-constrained devices. Learn data visualization, preprocessing, model training, and evaluation techniques.

• YouTube
• 57 minutes
• On-Demand
• Free Video

tinyML

Binarized Neural Networks on Microcontrollers

Explore Binarized Neural Networks for efficient deep learning on microcontrollers, enabling complex tasks with minimal memory and high performance using 1-bit encoding for weights and activations.

• YouTube
• 59 minutes
• On-Demand
• Free Video

tinyML

Practical Application of TinyML in Battery Powered Anomaly Sensors for Predictive Maintenance of Industrial Assets

Explore tinyML for industrial anomaly detection, enabling predictive maintenance through low-power sensors, wireless tech, and IoT cloud integration. Includes live demo and practical insights.

• YouTube
• 33 minutes
• On-Demand
• Free Video

tinyML

How to Train and Deploy TinyML Models for Three Common Sensor Types

Learn to train and deploy tinyML models for sensor, audio, and vision data using Edge Impulse. Explore workflows, best practices, and optimization techniques for embedded machine learning applications.

• YouTube
• 32 minutes
• On-Demand
• Free Video

tinyML

Build Industrial-Grade TinyML Applications with Edge Impulse - Tutorial

Learn to build industrial-grade tinyML applications using Edge Impulse. Covers dataset collection, model design, training, optimization, and integration into embedded systems running on MCUs.

• YouTube
• 1 hour 37 minutes
• On-Demand
• Free Video

Amazon Web Services;  Amazon

Machine Learning Exam Basics

Explore AWS machine learning services, from building and deploying models to deep learning. Learn from Amazon's scientists about ML business challenges and data processing in the ML pipeline.

• AWS Skill Builder
• 2 hours
• On-Demand
• Free Certificate