Data & ML Courses on Sphere

Designing State of the Art Recommender Systems

Live with Xavier Amatrian & Deepak Agarwal

VPs of Engineering and AI Product Strategy

ML Systems

Designing State of the Art Recommender Systems

VPs of Engineering and AI Product Strategy

Learn how to build modern recommender systems from those who designed them at Netflix, Pinterest, LinkedIn and Quora.

Modern Forecasting in Practice

Live with Tim Januschowski & Jan Gasthaus

Machine Learning Scientists

Data Analysis & Experimentation

Modern Forecasting in Practice

Machine Learning Scientists

Learn how to use time series machine learning techniques for predicting future outcomes to optimize business processes.

Accelerating Innovation with A/B Testing

Live with Ronny Kohavi

Technical Fellow and Corporate VP

Data Analysis & Experimentation

Accelerating Innovation with A/B Testing

Technical Fellow and Corporate VP

Learn how to design, measure and implement trustworthy A/B tests, live with world-leading experimentation expert Ronny Kohavi.

Applied Causal Inference

Live with Rob Donnelly

Machine Learning Scientist

Data Analysis & Experimentation

Applied Causal Inference

Machine Learning Scientist

Learn how to use applied causal inference methods to make better product and business decisions live with Rob Donnelly, an industry leader with experience at Instacart and Meta.

Production-Grade Python

Live with Nikhil Garg

CEO, Cofounder, Senior Engineering Manager

Data Essentials

Production-Grade Python

CEO, Cofounder, Senior Engineering Manager

Become a better data practitioner by writing better code! Learn about development practices to improve code modularity, enable collaboration, and prevent errors in production.

Implementing Reliable A/B Tests

Live with Kyle Carlson

Data Scientist

Data Analysis & Experimentation

Implementing Reliable A/B Tests

Data Scientist

Dive deep into the implementation methods, calculations, setup, and analysis of A/B tests with a focus on engineering and statistical practice.

Effective Customer Targeting with Machine Learning

Live with Karolis Urbonas

Global Head of ML

Data Analysis & Experimentation

Effective Customer Targeting with Machine Learning

Global Head of ML

Scope, test and build impactful customer targeting ML/AI projects.

Data Engineering for Machine Learning

Live with Josh Wills

Director of Data Engineering and Data Science

Data Infrastructure

Data Engineering for Machine Learning

Director of Data Engineering and Data Science

Master the data engineering best practices required to support reliable & scalable production models.

Techniques and Frameworks for Data Exploration

Live with Jeff Heer

Computer Science Professor

Data Analysis & Experimentation

Techniques and Frameworks for Data Exploration

Computer Science Professor

Transform, analyze and understand any dataset alongside data science pioneer, Jeff Heer.

Scaling B2B SaaS

Live with Ibrahim Bashir

VP of Product Management

Scaling B2B SaaS

VP of Product Management

Your chance to learn live with the VP of Product Management at Amplitude, Ibrahim Bashir, and a cohort of driven industry professionals.

Transformers for Enterprise Use Cases

Live with Hugging Face

Machine Learning Engineers

ML Systems

Transformers for Enterprise Use Cases

Machine Learning Engineers

Transformers are changing the AI landscape as we know it. Learn how to apply these state-of-the-art models to your businesses with the Hugging Face team that has pioneered their open-source access.

Machine Learning Powered Search

Live with Doug Turnbull

Principal Engineer

ML Systems

Machine Learning Powered Search

Principal Engineer

Apply machine learning to ranking, query and content understanding with Doug Turnbull, one of Reddit's most senior engineers.

Decision Optimization Using ML Models

Live with Dan Becker

VP of ML Development

ML Systems

Decision Optimization Using ML Models

VP of ML Development

Machine learning models make predictions, but predictions don't tell you what action to take. Learn how to optimize decision rules and measure the impact of your work, live with Dan Becker, an industry leader with experience at Google and Data Robot.

Machine Learning at Reasonable Scale

Live with Ciro Greco & Jacopo Tagliabue

Ex-VP and Ex-Director of AI

ML Systems

Machine Learning at Reasonable Scale

Ex-VP and Ex-Director of AI

Build and operationalize ML with rigid budgetary and technological constraints in mind. Live with Ciro Greco and Jacopo Tagliabue, ex-Vice President and ex-Director of AI at Coveo.

ML Systems Design and Strategy

Live with Chip Huyen

Co-Founder, ML Engineer

ML Systems

ML Systems Design and Strategy

Co-Founder, ML Engineer

Learn how to prioritize, develop and scale ML projects that solve business use cases. Live with Chip Huyen, a leading industry expert, author and teacher.

Communicating and Persuading with Data

Live with Andy Cotgreave

Senior Data Evangelist

Data Analysis & Experimentation

Communicating and Persuading with Data

Senior Data Evangelist

Become a data communicator who can persuade key stakeholders to make informed decisions.

Optimizing Your Inference Architecture

Live with

ML Systems

Optimizing Your Inference Architecture

Adding machine learning features to your product is not trivial and catching performance issues is challenging. Apply common practices for scaling inference and strategies to reduce the mean time to resolution of production model issues.

Redshift Query Optimization

Live with

Data Essentials

Redshift Query Optimization

Reduce compute cost & increase maintainability by optimizing your Redshift queries.

CI/CD for ML

Live with

ML Systems

CI/CD for ML

Machine learning creates coupling between data, models, and other artifacts. Learn to safely update and modify your pipeline via CI/CD automations.

Designing Computational Advertising Systems

Live with

ML Systems

Designing Computational Advertising Systems

Design auction mechanisms and large-scale deep learning models to optimize ad performance

Docker

Live with

Data Essentials

Docker

Containarize your data science project dependencies, and microservice architectures. Improve build time, reduce image size, and prevent security vulnerabilities.

Big Query Optimization

Live with

Data Essentials

Big Query Optimization

Reduce compute cost & increase maintainability by optimizing your Big Query queries.

Analytics Engineering with DBT

Live with

Data Infrastructure

Analytics Engineering with DBT

Build a system of transformations on your data, with tests, scheduled runs, multiple environments, flexibility, and more all without needing a team of engineers to set up and manage your workflow.

Training and Deploying Generative AI Models

Live with

ML Systems

Training and Deploying Generative AI Models

AI can now generate realistic images, text, audio (and more) never seen before! Learn about applications of this cutting-edge technology and identify opportunities in your field.

Kubernetes

Live with

Data Essentials

Kubernetes

Containarise your data science project dependencies, and microservice architectures. Improve build time, reduce image size, and prevent security vulnerabilities.

API Design

Live with

ML Systems

API Design

Design accessible, reliable and maintainable APIs that enable rapid customer adoption of your ML products.

Continual Learning and Deployment for ML Models

Live with

ML Systems

Continual Learning and Deployment for ML Models

The model lifecycle does not end at deployment! Learn how to use production data to maintain and improve your machine learning models' performance over time.

Implementing Stream Data Pipelines

Live with

Data Infrastructure

Implementing Stream Data Pipelines

Implement stream data pipelines that allow your models and systems to adapt to changing environments in realtime.

Training and Deploying Edge ML Models

Live with

ML Systems

Training and Deploying Edge ML Models

Learn to remotely deploy, update, and monitor machine learning models on devices with resource contraints. Design the right architecture to meet your network, cloud, and security requirements.

Data Pipelines with Airflow

Live with

Data Infrastructure

Data Pipelines with Airflow

Learn the ins-and-outs of Apache Airflow to orchestrate data pipelines at scale and improve observability.

Effectively Logging Customer Behavior

Live with

Data Infrastructure

Effectively Logging Customer Behavior

Digital interactions can generate a wealth of data to orient business decisions. Effectively extract, transform, and load the signal of interest for data science and machine learning.

Apache Spark

Live with

Data Essentials

Apache Spark

Scale-up your analytics and data science pipelines for Big Data with Apache Spark.

Automating Robust ML Workflows with Metaflow

Live with

Data Infrastructure

Automating Robust ML Workflows with Metaflow

Write scalable, production-ready data science and machine learning workflow to deliver projects faster and improve maintainability.

Snowflake Query Optimization

Live with

Data Essentials

Snowflake Query Optimization

Reduce compute cost & increase maintainability by optimizing your Snowflake queries.

Bayesian A/B Testing

Live with

Data Analysis & Experimentation

Bayesian A/B Testing

Understand the benefits of Bayesian A/B testing over frequentist approaches and how to apply it in your business

Bayesian Forecasting

Live with

Data Analysis & Experimentation

Bayesian Forecasting

Improve forecast accuracy and explainability by learning how to build and optimize bayesian forecasting models

Data & ML Courses

Designing State of the Art Recommender Systems

Designing State of the Art Recommender Systems

Modern Forecasting in Practice

Modern Forecasting in Practice

Accelerating Innovation with A/B Testing

Accelerating Innovation with A/B Testing

Applied Causal Inference

Applied Causal Inference

Production-Grade Python

Production-Grade Python

Implementing Reliable A/B Tests

Implementing Reliable A/B Tests

Effective Customer Targeting with Machine Learning

Effective Customer Targeting with Machine Learning

Data Engineering for Machine Learning

Data Engineering for Machine Learning

Techniques and Frameworks for Data Exploration

Techniques and Frameworks for Data Exploration

Scaling B2B SaaS

Scaling B2B SaaS

Transformers for Enterprise Use Cases

Transformers for Enterprise Use Cases

Machine Learning Powered Search

Machine Learning Powered Search

Decision Optimization Using ML Models

Decision Optimization Using ML Models

Machine Learning at Reasonable Scale

Machine Learning at Reasonable Scale

ML Systems Design and Strategy

ML Systems Design and Strategy

Communicating and Persuading with Data

Communicating and Persuading with Data

Optimizing Your Inference Architecture

Optimizing Your Inference Architecture

Redshift Query Optimization

Redshift Query Optimization

CI/CD for ML

CI/CD for ML

Designing Computational Advertising Systems

Designing Computational Advertising Systems

Docker

Docker

Big Query Optimization

Big Query Optimization

Analytics Engineering with DBT

Analytics Engineering with DBT

Training and Deploying Generative AI Models

Training and Deploying Generative AI Models

Kubernetes

Kubernetes

API Design

API Design

Continual Learning and Deployment for ML Models

Continual Learning and Deployment for ML Models

Implementing Stream Data Pipelines

Implementing Stream Data Pipelines

Training and Deploying Edge ML Models

Training and Deploying Edge ML Models

Data Pipelines with Airflow

Data Pipelines with Airflow

Effectively Logging Customer Behavior

Effectively Logging Customer Behavior

Apache Spark

Apache Spark

Automating Robust ML Workflows with Metaflow

Automating Robust ML Workflows with Metaflow

Snowflake Query Optimization

Snowflake Query Optimization

Bayesian A/B Testing

Bayesian A/B Testing

Bayesian Forecasting

Bayesian Forecasting

The Complete Experimentation Path

Accelerating Innovation with A/B Testing

Applied Causal Inference

Modern Forecasting in Practice

Techniques and Frameworks for Data Exploration

The Complete Search & Discovery Path

Accelerating Innovation with A/B Testing