Machine Learning Models Courses and Certifications

Institute for Advanced Study

Are All Features Created Equal? - Aleksander Madry

Explore machine learning's success, deep learning's appeal, and adversarial perturbations. Examine robust features, human vs. ML perspectives, and implications for data efficiency and image synthesis.

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

Institute for Pure & Applied Mathematics (IPAM)

Introduction to Equivariant Machine Learning - IPAM at UCLA

Explore fundamentals of equivariant machine learning, understanding symmetries in physical descriptions and implementation techniques for respecting these principles in ML models.

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

Data Science Dojo

Ethical Dimensions of Data Science

Explore data science's ethical challenges, from systemic bias to machine learning ethics. Learn about past controversies and discover ways to create a more responsible future in this thought-provoking talk.

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

Create a Better User Experience Through AI - Michael Bernstein

Explore AI-driven UX design strategies with Stanford's Michael Bernstein. Learn industry practices, error mitigation, and user-friendly AI implementation for smarter, more personalized digital interfaces.

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

Deep Learning Prerequisites: Linear Regression in Python

6502 ratings at Udemy

Data science, machine learning, and artificial intelligence in Python for students and professionals

• Udemy
• 6 hours 20 minutes
• On-Demand
• Paid Course

Python Data Analysis & Visualization Bootcamp

3561 ratings at Udemy

Financial Data Analysis and Visualization with Python: The HighQuality Study kit

• Udemy
• 8 hours
• On-Demand
• Paid Course

Practical Deep Learning with PyTorch

1684 ratings at Udemy

Accelerate your deep learning with PyTorch covering all the fundamentals of deep learning with a python-first framework.

• Udemy
• 6 hours
• On-Demand
• Paid Course

Automated Machine Learning for Beginners (Google & Apple)

527 ratings at Udemy

Learn AI: Computer Vision, NLP, Tabular Data - build powerful models with Google AutoML & Apple CreateML

• Udemy
• 3 hours 35 minutes
• On-Demand
• Paid Course

Handling Missing Data with Imputations in R

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

AutoML Automated Machine Learning BootCamp (No Code ML)

239 ratings at Udemy

Build State of the Art Machine Learning Models without a single line of code

• Udemy
• 1 hour 5 minutes
• On-Demand
• Paid Course

Vertex AI Search for Retail Agent Builder

Develop skills to design, deploy, and monitor Vertex AI Search for Retail Agent Builder solutions, including retail search and recommendation AI for enterprise customers.

• Coursera
• 5 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

Discover and Catalog Vertex AI Assets with Dataplex

Catalog and discover Vertex AI assets using Dataplex to enhance data management and accessibility in Google Cloud.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Exam Tips: Designing and Implementing a Data Science Solution on Azure (DP-100)

169 ratings at LinkedIn Learning

Discover tips and practical study strategies in preparation for the Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure certification exam.

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

Learn about exploratory data analysis (EDA) techniques.

• Codecademy
• 6 hours
• On-Demand
• Free Trial Available

Experimental Design for Data Analysis

35 ratings at Pluralsight

This course covers conceptual and practical aspects of building and evaluating machine learning models in a way that uses data judiciously, while also accounting for considerations such as ordering and relationships within data and other biases.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available