Data Labeling Courses and Certifications

Open Data Science

How to Set Up an ML Data Labeling Pipeline - Best Practices and Examples

Learn best practices for building ML data labeling pipelines through crowdsourcing. Explore real-life examples, requirements, and techniques for high-quality labeled data in supervised machine learning projects.

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

Labeling Tools are Great, but What About Quality Checks?

Explore effective quality control strategies for data labeling in machine learning, ensuring accuracy and reliability in AI model training.

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

Efficient Data Feeding and Labeling for Model Training

Creating data models using machine learning requires effective training data. This course will teach you how to feed your data model’s training process using data labeling for supervised training and unlabeled data for semi-supervised training.

• Pluralsight
• 32 minutes
• On-Demand
• Free Trial Available

MLOps.community

Data Labeling Best Practices for Fine-Tuning LLMs

Discover best practices for data labeling in LLM fine-tuning. Learn strategies for hiring, data preparation, and managing labelers to enhance AI model performance.

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

Toronto Machine Learning Series (TMLS)

Bogged Down by Annotation - Why Subject Matter Experts Should Do the Heavy Lifting

Discover why subject matter experts should handle data annotation, improving efficiency and accuracy in machine learning projects.

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

Snorkel AI

Curate Training Data via Labeling Functions - 10 to 100x Faster

Accelerate data labeling for AI models using programmatic techniques. Learn to capture SME knowledge, improve label accuracy, and explore real-world use cases in banking, pharma, and healthcare.

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

Snorkel AI

Alfred: Building Training Data with Foundation Models and Weak Supervision - Snorkel AI

Streamline data labeling with Alfred, combining foundation models and weak supervision to create high-quality training datasets for academic research and machine learning projects.

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

Snorkel AI

How to Accelerate AI Training With Programmatic Data Labeling - Snorkel Flow Demo

Accelerate AI development with programmatic data labeling. Learn efficient knowledge capture, automated labeling, and iterative improvement techniques for enterprise AI initiatives.

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

Core Concepts in AI

Master essential AI foundations, from R.O.A.D framework to algorithm selection, data quality, and performance metrics. Gain practical insights for evaluating and implementing AI systems while balancing technical depth with strategic decision-making.

• Coursera
• 23 hours 38 minutes
• On-Demand
• Free Online Course (Audit)

Amazon SageMaker

256 ratings at Udemy

Learn how to leverage the power of AWS SageMaker for your Machine Learning and AI Projects on AWS!

• Udemy
• 5 hours 4 minutes
• On-Demand
• Paid Course

Uptraining with Document AI Workbench

Create and configure an Invoice Parser processor, label example documents, and uptrain for improved document processing in Google Cloud.

• Coursera
• 1 hour
• On-Demand
• Paid Course

PowerPoint Data Visualization: High-Impact Charts and Graphs

934 ratings at LinkedIn Learning

Learn from a Microsoft MVP how to create high-impact charts and data visualizations in PowerPoint.

• LinkedIn Learning
• 1 hour 47 minutes
• On-Demand
• Free Trial Available

ArcGIS Pro Essential Training

576 ratings at LinkedIn Learning

Learn the essentials of working with ArcGIS Pro 2.4, including navigating maps and creating new projects from the variety of ArcGIS templates.

• LinkedIn Learning
• 3 hours 48 minutes
• On-Demand
• Free Trial Available

Human Activity Recognition - Learning with Less Labels and Privacy Preservation

Learn advanced techniques for human activity recognition with limited labeled data and privacy preservation, including pseudoleveling, contrastive learning, and zero-shot approaches.

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

Towards Label Efficiency and Privacy Preservation in Video Understanding

Explore advanced techniques for efficient video analysis while maintaining data privacy, focusing on label-efficient learning methods and privacy-preserving frameworks for video understanding.

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