Handwriting Recognition Courses and Certifications

Introduction to Drawing Recognition and CNN Fundamentals

Learn CNN fundamentals by exploring MNIST digit data and building, training, evaluating, and using models to recognize hand-drawn sketches.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Python Lessons

Machine Learning Training Utilities - Build Custom OCR, ASR, and Object Detection Models with TensorFlow and PyTorch

Master TensorFlow and PyTorch through hands-on projects including OCR, handwriting recognition, ASR models, and YOLOv8 object detection with practical step-by-step tutorials.

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

Simon Scrapes | AI Automation

Testing the Top 4 Free OCR Tools in N8N - Complete Comparison and Setup Guide

Discover which free OCR tools excel at extracting text from documents, handwriting, and graphs through comprehensive testing in N8N automation workflows.

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

Simon Scrapes | AI Automation

OCR vs LLMs - Data Extraction Showdown

Discover which data extraction method wins: traditional OCR or modern LLMs. Compare performance across document types, handwriting, and multimodal content using n8n workflows.

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

DevConf

Feeding ML Models with Real-Time Database Data

Explore real-time data ingestion from databases to ML models using Change Data Capture. Learn about Debezium, challenges, and future improvements with a live TensorFlow demo.

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

Robert Feranec

Machine Learning Explained - Teaching a Robot to Walk Tutorial

Comprehensive tutorial on machine learning concepts, from handwriting recognition to reinforcement learning, with practical demonstrations using neural networks and robot simulations.

• YouTube
• 2 hours 49 minutes
• Self-Paced
• Free Video

Create digit recognition web app with Streamlit

Build a digit recognition web app: train and validate a model on the MNIST handwritten dataset, then serve its predicted probabilities through a Streamlit drawing interface.

• Coursera
• 2 hours 1 minute
• No Longer Offered
• Paid Course