Machine Learning Courses and Certifications

Paul G. Allen School

Interpretable Machine Learning Approaches for Multi-Year Climate Variability

Explore interpretable machine learning techniques for identifying and understanding predictable multi-year climate variability, focusing on neural networks and explainable AI in climate science research.

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

Paul G. Allen School

Machine Learning and the Hydroxyl Radical for Air Quality and Climate

Explore machine learning applications in predicting hydroxyl radical trends, their impact on air quality and climate, and implications for methane trends and future climate change.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Machine Learning Knowledge Transfer - From LHC to EIC by Sanmay Ganguly

Explore machine learning applications in particle physics, transferring knowledge from LHC experiments to the upcoming Electron-Ion Collider for advanced proton and neutron structure analysis.

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

GOTO Conferences

Kubeflow for Machine Learning

Explore Kubeflow's role in enhancing ML tooling with experts Holden Karau and Adi Polak. Discover how this platform improves machine learning workflows and compare it with other distributed computing frameworks like Ray and Dask.

• YouTube
• 48 minutes
• Self-Paced
• Conference Talk

GOTO Conferences

Machine Learning for Autonomous Vehicles

Explore machine learning applications in autonomous vehicles, covering data requirements, security, language choices, and model deployment considerations with industry experts Oscar Beijbom and Prayson Daniel.

• YouTube
• 43 minutes
• Self-Paced
• Conference Talk

GOTO Conferences

Scaling Machine Learning with Spark

Learn to build scalable machine learning solutions using Apache Spark, MLlib, MLflow, TensorFlow, and PyTorch. Explore distributed computing concepts, manage ML lifecycles, and combine Spark with deep learning for end-to-end workflows.

• YouTube
• 40 minutes
• Self-Paced
• Conference Talk

Gopher Academy

Go Microservices for Machine Learning at the Edge

Explore AI/ML data pipeline processing for healthcare using Go microservices, addressing challenges in distributed deployment, service dependencies, internationalization, and integration testing.

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

GOTO Conferences

Developing Machine Learning for Impact

Insights on developing impactful machine learning for job boards, covering tool selection, data quality, uncertainty management, team composition, and measurement strategies.

• YouTube
• 39 minutes
• Self-Paced
• Conference Talk

Society for Industrial and Applied Mathematics

Advancing Earth System Predictability with Machine Learning Methods

Explore machine learning methods for improving Earth system predictions, featuring insights from Dan Lu of Oak Ridge National Laboratory on enhancing climate modeling and forecasting.

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

Docker

Docker for Machine Learning, AI, and Data Science - DockerCon 2023 Workshop

Comprehensive workshop on containerizing and deploying generative AI models, covering fine-tuning techniques, multi-modal use cases, and building a complete GenAI vertical using Docker.

• YouTube
• 2 hours 54 minutes
• Self-Paced
• Free Video

NDC Conferences

Ethical Machine Learning

Explore ethical considerations in machine learning development, focusing on mitigating bias and implementing governance from the start to ensure responsible AI deployment.

• YouTube
• 55 minutes
• Self-Paced
• Conference Talk

Canonical Ubuntu

Kubeflow vs MLflow - Choosing the Right Tool for Machine Learning Operations

Explore production-grade MLOps, comparing Kubeflow and MLflow for open-source, community-driven machine learning tooling. Gain insights on pros and cons to make informed decisions.

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

Docker

Machine Learning Inside the Container - Simplifying ML Workflows with envd

Explore envd, a tool simplifying machine learning workflows in Docker containers. Learn how it enhances reproducibility, isolation, and deployment of ML models using standardized environments and Starlark configuration.

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

Advanced Cyberinfrastructure Training at RPI

Quantum Machine Learning with Covalent

Explore quantum machine learning using Covalent, gaining insights into advanced computational techniques and their applications in data analysis and problem-solving.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

Fields Institute

Accelerating Quantum Progress Through Machine Learning

Explore how machine learning can accelerate advancements in quantum technology, enhancing quantum information and control capabilities.

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