Data Augmentation Courses and Certifications

EDUCBA

Image Classification with Keras: Build & Optimize

Master image classification using Keras through hands-on CNN building, transfer learning, data augmentation, and model optimization techniques in Google Colab.

• Coursera
• 2 hours 59 minutes
• On-Demand
• Paid Course

Coursera

Transform Audio: Extract Features & Augment Models

Master spectral and cepstral feature extraction plus audio augmentation pipelines to build robust ML models that handle real-world acoustic variability and production deployment.

• Coursera
• 1 hour 53 minutes
• On-Demand
• Paid Course

Coursera Instructor Network

GenAI for Data Scientist

Explore Generative AI's impact on data science, learning its technical workings and practical applications. Enhance analytical precision and foster innovation in your data-driven projects.

• Coursera
• 2 hours 9 minutes
• On-Demand
• Paid Course

Coursera

Vision Models: Train and Evaluate

Master computer vision model training with CNNs and Vision Transformers, plus evaluation metrics like mAP and IoU through hands-on TensorFlow labs and real-world projects.

• Coursera
• 2 hours 43 minutes
• On-Demand
• Paid Course

Coursera

Debug Audio Models: Performance and Root Cause

Master systematic debugging of audio model failures using quantitative metrics, qualitative analysis, and visualization tools to identify root causes and improve production performance.

• Coursera
• 2 hours 1 minute
• On-Demand
• Paid Course

Microcredential

Generative AI for Data Scientists

Enhance your data science capabilities with generative AI through practical applications in data preparation, prompt engineering, and machine learning model development for immediate workplace implementation.

• edX
• On-Demand
• $147.00
• 2 courses

Understanding Generative AI in Cloud Computing: Services and Use Cases

442 ratings at LinkedIn Learning

Learn how to get started using cloud-based generative AI services and tools like Amazon SageMaker, Google Cloud AI Platform, OpenAI, ChatGPT, and more.

• LinkedIn Learning
• 1 hour 40 minutes
• On-Demand
• Free Trial Available

Valerio Velardo - The Sound of AI

How to Implement Audio Data Augmentation in Python

Implement audio data augmentation techniques in Python, including noise addition, time stretching, pitch scaling, polarity inversion, and random gain, with practical code examples.

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

Introduction to Generative Adversarial Networks (GANs)

191 ratings at LinkedIn Learning

Gain a better understanding of Generative Adversarial Networks (GANs), how they are created, how they train, and how they are able to create new media.

• LinkedIn Learning
• 30 minutes
• On-Demand
• Free Trial Available

Fields Institute

Data Augmentation MCMC for Bayesian Inference from Privatized Data

Explore data augmentation MCMC for Bayesian inference from privatized data, focusing on differential privacy challenges and solutions in statistical analysis.

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

Data Council

Continuous Data Pipeline for Real-Time Benchmarking and Data Set Augmentation

Generate datasets and real-time precision/recall splits to detect data shifts, prioritize data collection, and retrain models for improved ML system accuracy and performance.

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

Data Science Conference

Audio Data Augmentation: Techniques, Theory, and Implementation

Discover essential audio data augmentation techniques for machine learning, from time shifting to frequency masking, with practical Python implementations and best practices for enhancing audio datasets.

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

Deep Learning with PyTorch: Zero to GANs

1 review

"Deep Learning with PyTorch: Zero to GANs" is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Enroll now to start learning.

• Jovian
• 24 weeks, 2-3 hours a week
• On-Demand
• Free Online Course

Computer Vision

1 review

Build convolutional neural networks with TensorFlow and Keras.

• Kaggle
• 4 hours
• On-Demand
• Free Certificate

Computer Vision for Data Scientists

102 ratings at LinkedIn Learning

Get a comprehensive introduction to computer vision and learn how to train models and neural networks for image classification.

• LinkedIn Learning
• 4 hours 2 minutes
• On-Demand
• Free Trial Available