statistics.com Courses

Predictive Analytics: Basic Modeling Techniques

1 rating

Explore key predictive analytics techniques including regression, decision trees, ensembles, and neural networks. Gain hands-on experience in model fitting, performance evaluation, and practical application of machine learning methods.

• edX
• 4 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course (Audit)

MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning

6 ratings at edX

Learn to deploy AI & ML models in production using Azure Machine Learning. Gain hands-on experience with data pipelines, versioning, model storage, and monitoring. Master essential skills for successful MLOps implementation.

• edX
• 4 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Machine Learning Operations with Microsoft Azure (MLOps with Azure)

Learn to deploy machine learning models using Azure, combining data engineering and data science skills to create automated, self-monitoring pipelines for AI-driven decision-making and business integration.

• edX
• 12 weeks, 5-7 hours/week
• Self-Paced
• $617.00

Credential

Machine Learning Operations with Amazon Web Services (MLOps with AWS)

Learn to deploy ML models on AWS, combining data engineering and data science skills to create automated, self-monitoring pipelines for AI-driven decision-making and business integration.

• edX
• 12 weeks, 5-6 hours/week
• Self-Paced
• $567.00

Credential

Machine Learning Operations with Google Cloud Platform (MLOps with GCP)

Aprende a combinar habilidades de ingeniería de datos y ciencia de datos para desplegar modelos de machine learning en Google Cloud Platform, automatizando y optimizando pipelines para monitoreo continuo y acciones empresariales.

• edX
• 12 weeks, 5-6 hours/week
• Self-Paced
• $617.00

Credential

Data Science Ethics

Responsible guidance and practical tools for building ethical AI models, addressing bias and fairness in data science projects to prevent harmful outcomes and ensure responsible development.

• edX
• 8 weeks, 4-5 hours/week
• Self-Paced
• $498.00
• 2 courses

MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services

Learn to deploy AI & ML models in production using AWS. Gain hands-on experience with data pipelines, versioning, model storage, and monitoring. Master the skills to effectively implement and maintain ML projects.

• edX
• 4 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course (Audit)

MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform

Deploy AI & ML models in production using GCP. Learn data pipelines, versioning, model storage, and monitoring. Gain hands-on experience with key MLOps concepts for effective deployment and maintenance of machine learning models.

• edX
• 4 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course (Audit)

MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning

Automate and optimize data pipelines using Azure Machine Learning. Learn monitoring, drift detection, triggers, alarms, CI/CD, and responsible AI practices for robust and ethical ML deployments.

• edX
• 4 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course

MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services

Automate and optimize data pipelines using AWS, covering drift monitoring, model stability, CI/CD, and responsible AI practices for improved ML project deployment and performance.

• edX
• 4 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course

Principles of Data Science Ethics

Explore ethical considerations in data science, including bias, transparency, and legal issues. Learn frameworks and tools to build responsible AI models and mitigate unintended harm.

• edX
• 4 weeks, 4-5 hours/week
• Self-Paced
• Free Online Course

Applied Data Science Ethics

Learn practical tools to build ethical AI models, interpret results, audit for bias, and implement fairness in data science projects using real-world datasets and Python code.

• edX
• 4 weeks, 4-5 hours/week
• Self-Paced
• Free Online Course

MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform

Automate and optimize data pipelines on GCP, covering drift monitoring, model stability, CI/CD, and responsible AI practices for successful ML project deployment.

• edX
• 4 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)