Representation Learning Courses and Certifications

Open Data Science

Information Flow and Deep Representation Learning

Explore information bottleneck analysis in deep learning, gaining insights into representation learning, nuisance insensitivity, and disentanglement for advanced understanding of neural networks.

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

Valence Labs

Causal Discovery and Representation Learning - Day 4

Explore causal discovery and representation learning in machine learning for drug discovery with Jason Hartford's insightful presentation.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

VinAI

Learning on Graphs: From Representation to Minimally Supervised

Explore graph representation learning, from shallow to deep embedding, for heterogeneous data. Discover algorithms for temporal and dynamic graphs, and few-shot learning techniques for minimally supervised scenarios.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations - Lecture 7

Explore adaptive fair representation learning for personalized fairness in recommendations through information alignment techniques.

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

Center for Language & Speech Processing(CLSP), JHU

Representation and Metric Learning Advances for Face and Speaker Biometric Systems

Explore advances in representation and metric learning for face and speaker biometric systems, enhancing accuracy and efficiency in identity verification.

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

GERAD Research Center

Representation-driven Option Discovery in Reinforcement Learning

Explore representation-driven option discovery in reinforcement learning, enhancing temporal abstraction and continual learning for intelligent agents.

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

Broad Institute

TissueMosaic Enables Cross-Sample Differential Analysis of Spatial Transcriptomics Datasets Through Self-Supervised Representation Learning

Discover how TissueMosaic enables cross-sample differential analysis of spatial transcriptomics datasets through self-supervised representation learning in this research presentation.

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

BIMSA

Scientific Understanding of Neural Networks - From Representation to Learning Dynamics and From Shallow to Deep

Explore the scientific foundations of neural networks, covering representation theory, learning dynamics, and the transition from shallow to deep architectures.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Computational Genomics Summer Institute CGSI

Unsupervised Representation Learning with Applications to 3D Genome Organization and Cell-Type-Specific Gene Regulatory Programs

Explore unsupervised representation learning techniques for analyzing 3D genome organization and cell-type-specific gene regulatory networks in computational genomics.

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

Centre for Networked Intelligence, IISc

The Power of Adaptivity in Representation Learning - From Meta-Learning to Federated Learning

Delve into advanced machine learning concepts exploring adaptivity in representation learning, focusing on meta-learning and federated learning approaches for model deployment in new environments.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Unsupervised Machine Learning: Unlocking the Potential of Data

Unlock untapped data potential through unsupervised ML techniques, generative models, and representation learning to drive AI initiatives and build interpretable models for your organization.

• GetSmarter
• 6 weeks, 7 hours a week
• 18th Mar, 2026
• Paid Course

Fairness in Representation Learning - Natalie Dullerud

Explore fairness in deep metric learning, evaluating bias in representations and its impact on minority subgroups. Learn about a novel approach to mitigate bias and improve fairness in machine learning models.

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

Domain Adaptation with Invariant Representation Learning - What Transformations to Learn?

Explore domain adaptation in machine learning, focusing on invariant representation learning and its challenges. Learn about novel techniques for optimal feature mapping across domains.

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

SleepFM - Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Explore SleepFM, a groundbreaking multi-modal foundation model for sleep analysis, leveraging brain, cardiac, and respiratory data to improve sleep stage classification and disorder detection.

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

Self-Supervised Learning A-Z: Theory & Hands-On Python

51 ratings at Udemy

Representation Learning | Contrastive Learning | Pretext | Downstream | SimCLR | Machine Learning | Deep Learning

• Udemy
• 4 hours 24 minutes
• On-Demand
• Paid Course