Toronto Machine Learning Series (TMLS) Courses

Build, Train, and Deploy Models with Amazon SageMaker

Learn to build, train, and deploy machine learning models using Amazon SageMaker through hands-on experience. Gain practical skills in ML model development and implementation on AWS platform.

• YouTube
• 1 hour 26 minutes
• Self-Paced
• Free Video

Women in AI - Transitioning Careers, Challenges, and Opportunities

Explore career transitions, challenges, and opportunities for women in AI through insights from industry experts and leaders.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Validate and Monitor Your AI and Machine Learning Models

Discover techniques for validating and monitoring advanced AI and ML models, ensuring long-term performance and business adoption in various industries.

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

Simplify ML Pipeline Automation and Tracking Using Kubeflow and Serverless Functions

Simplify ML pipeline automation and tracking with Kubeflow and serverless functions. Learn to streamline your machine learning workflows for improved efficiency and productivity.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Introduction to Machine Learning with Python

Explore machine learning fundamentals using Python, covering key concepts and practical applications in this hands-on workshop led by a field engineer from Domino.

• YouTube
• 1 hour 55 minutes
• Self-Paced
• Free Video

ML Monitoring ML: Scalable Monitoring of ML Models in Production Environments

Explore scalable ML model monitoring in production. Learn key performance measures, anomaly detection techniques, and an open-source agent for automated tracking and alerting of model issues.

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

Automated Pipeline for Large-Scale Neural Network Training and Inference

Explore cloud-native ML pipeline for automated anomaly detection using BiLSTM models. Learn to manage thousands of models with data collection, training, validation, and deployment techniques.

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

Reaching Lightspeed Data Science - ETL, ML, and Graph with NVIDIA RAPIDS

Accelerate data science workflows using GPUs and RAPIDS. Learn performance gains, easy migration, and new possibilities in ETL, ML, and graph analytics.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Modeling, Querying and Seeing Time Series Data within a Self-Organizing Mesh Network

Explore graph database modeling for dynamic power grid networks. Learn to query and analyze sensor data, triage at-risk components, and understand network healing processes.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Hyperparameter Tuning with a Focus on Weights and Biases Sweeps

Explore hyperparameter tuning strategies and visualizations for deep learning models, focusing on Weights & Biases Sweeps. Accelerate progress in semantic segmentation and language understanding projects.

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

MLOps at Scale: Predicting Bus Departure Times Using 18,000 ML Models

Explore MLOps at scale through a case study on predicting bus departure times using 18,000 ML models. Learn practical insights for implementing large-scale machine learning projects.

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

MLOps and Automation Workshop - Bringing Machine Learning to Production in a Few Easy Steps

Learn to deploy ML/AI to production faster using MLOps technologies. Explore automation techniques and best practices for efficient machine learning operations.

• YouTube
• 2 hours 1 minute
• Self-Paced
• Free Video

How F.A.T. is Your ML Model Quality in the Era of Software

Explore F.A.T. (Fairness, Accountability, Transparency) properties for assessing ML model quality. Learn evaluation approaches, governance benchmarks, and bias mitigation techniques through case studies.

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

Abstraction and Analogy in Natural and Artificial Intelligence

Explore the role of analogy-making in conceptual abstraction and understanding, and its importance for developing AI systems with humanlike intelligence.

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

Put Deep Learning to Work - Accelerate Deep Learning through AWS SageMaker and ML Services

Accelerate deep learning with AWS SageMaker and ML services. Master distributed multiGPU BERT fine-tuning and GPU hosting for efficient model development and deployment.

• YouTube
• 2 hours 35 minutes
• Self-Paced
• Free Video