Data Augmentation Courses and Certifications

Georgia Tech Research

Tune in and Dropout - How Data Augmentation Can Help Us Build Better Brain Decoders

Explore data augmentation techniques for improving brain decoders, enhancing neural signal interpretation and brain-computer interface performance.

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

Actionable Machine Learning for Tackling Distribution Shift - Huaxiu Yao

Explore techniques for building robust machine learning models that can handle distribution shifts, including subpopulation and domain shifts, and adapt to new test distributions with minimal labeled data.

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

MedAI - Training Medical Image Segmentation Models with Less Labeled Data - Sarah Hooper

Innovative semi-supervised method for training medical image segmentation models using minimal labeled data, achieving comparable accuracy to fully supervised approaches while significantly reducing labeling requirements.

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

How Can You Trust Machine Learning?

Explore the pillars of trust in machine learning: clarity, competence, and alignment. Learn about processes and techniques to develop more effective and trustworthy AI systems.

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

Data Augmentation for Image-Based Reinforcement Learning

Explores data augmentation techniques for image-based reinforcement learning, presenting a model-free algorithm and a self-supervised framework for visual continuous control tasks, achieving state-of-the-art results.

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

The Task Specification Problem

Exploring challenges in AI task specification, focusing on aligning human communication with machine understanding to improve robustness, transfer, and feature learning in AI systems.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Hands-on Data Centric Visual AI

Develop and maintain high-quality datasets for visual AI applications. Master labeling approaches, assess annotation quality, enhance label consistency, and optimize datasets for accurate models.

• Coursera
• 15 hours 51 minutes
• On-Demand
• Free Online Course (Audit)

Deep Learning: Convolutional Neural Networks in Python

6043 ratings at Udemy

Tensorflow 2 CNNs for Computer Vision, Natural Language Processing (NLP) +More! For Data Science & Machine Learning

• Udemy
• 13 hours 20 minutes
• On-Demand
• Paid Course

Microcredential

Generative Adversarial Networks (GANs)

Explore image generation with GANs, from foundational concepts to advanced techniques. Gain hands-on experience using PyTorch, create realistic outputs, and understand social implications like bias and privacy in machine learning.

• Coursera
• 13 weeks, 8 hours a week
• On-Demand
• Paid Course
• 3 courses

Generative AI: Introduction and Applications

1519 ratings at Coursera

Explore generative AI's capabilities, applications, and tools across various domains. Gain hands-on experience with IBM Generative AI Classroom and popular tools like ChatGPT.

• Coursera
• 6 hours 42 minutes
• On-Demand
• Free Online Course (Audit)

Apply Generative Adversarial Networks (GANs)

533 ratings at Coursera

Explore GANs for data augmentation, privacy, and image translation. Implement Pix2Pix and CycleGAN models to transform images, from satellite views to map routes and horses to zebras.

• Coursera
• 1 day 1 hour 39 minutes
• On-Demand
• Free Online Course (Audit)

Generative AI: Elevate Your Data Science Career

124 ratings at Coursera

Elevate your data science career with cutting-edge generative AI skills. Learn data generation, augmentation, and feature engineering techniques applicable across industries. Gain practical, immediately applicable knowledge.

• Coursera
• 12 hours 24 minutes
• On-Demand
• Free Online Course (Audit)

Generative AI for Data Engineering and Data Professionals

124 ratings at Udemy

Work Faster with Practical Gen AI for Data Engineering | For all Data Professionals (Engineers, Analysts, Scientists)

• Udemy
• 5 hours 38 minutes
• On-Demand
• Paid Course

MathWorks

Advanced Deep Learning Techniques for Computer Vision

Train anomaly detectors, generate synthetic images, use AI-assisted labeling, and create custom models for visual inspection and medical imaging applications. Overcome data challenges and explore model deployment options.

• Coursera
• 7 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Generative AI: Enhance your Data Analytics Career

80 ratings at Coursera

Unlock generative AI's potential in data analytics, mastering tools and techniques for insights, visualization, and ethical applications across industries. Hands-on labs provide practical experience with cutting-edge models.

• Coursera
• 14 hours 24 minutes
• On-Demand
• Free Online Course (Audit)