Hands-on beginner to expert level training in the most in-demand topics in artificial intelligence. Dozens of courses and hundreds of recordings available, with more added weekly.
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Taught by renowned, expert instructors

Available On-Demand

Data is the essential building block of Data Science, Machine Learning, and AI. This course is the first in the series and is designed to teach you the foundational skills and knowledge required to understand, work with, and analyze data. 

Free with subscription

Available On-Demand

his SQL coding course teaches students the basics of Structured Query Language, which is a standard programming language used for managing and manipulating data and an essential tool in AI.  You will learn how to design and write SQL code 

Free with subscription

Available On-Demand

The Python language is one of the most popular programming languages in data science and machine learning as it offers a number of powerful and accessible libraries and frameworks specifically designed for these fields. 

Free with subscription

Now Available On-demand


Now Available On-demand



Time Series Forecasting (with Python)

DS 101: Machine Learning & Modelling in Theory & Practice

Introduction to Machine Learning and the Bias-Variance Tradeoff

How to Do Data Science with Missing Data

Continuously Deployed Machine Learning

Data, I/O, and TensorFlow: Building a Reliable Machine Learning Data Pipeline

Recommendation Systems in Python: Fairness in AI Using Open-source Tools & Bias-dashboards

Ankur Patel, Head of Data

Machine Learning Fundamentals – Unsupervised Learning Series

Introduction to Fraud and Anomaly Detection

Sheamus McGovern, Founder, Engineer, AI Expert

Introduction to Data Literacy

Dr. Kirk Borne, Principal Data Scientist

DS 102: Machine Learning & Modelling in Theory & Practice

Non-linear Supervised Machine Learning Algorithms

Evaluation Metrics in Supervised Machine Learning

Hands-On Machine Learning Explainability

Explaining and Interpreting Gradient Boosting Models in Machine Learning

Data Science and Machine Learning in the Cloud for Cloud Novices

Data Annotation at Scale: Active and Semi-Supervised Learning in Python

How to Prepare Your Data for Supervised Machine Learning


PyTorch 101: Building a Model Step-by-Step

Convolutional Neural Networks Deep Dive

Deep Learning on Mobile Devices

Transformer Architecture and Its Cutting Edge Advances

Natural Language Processing Case Studies for Healthcare Models

Introduction to Face Processing With Computer Vision

An Introduction to Transfer Learning in NLP and HuggingFace Tools


Complete Python Fundamentals

Data Science in the Industry: Continuous Delivery for Machine Learning with Open-Source Tools

Modern Data Acquisition

Advanced Practical Pandas – From Multi-indexing to Styling

Getting Started with Pandas for Data Analysis

Streaming Decision Intelligence and Predictive Analytics with Spark 3


Advanced NLP 1: Overview of Basic to State-of-the-Art NLP

Advanced NLP 3: NLP in Production via Web Apps, Automated Pipelines, and APIs

Introduction to NLP and Conversational AI: From Beginner to Expert with Illustrations and Hands-On Examples

Advanced NLP 2: Modern NLP in Depth, from Theory to Action

Natural Language Processing Fundamentals in Python

Natural Language Processing Case-studies for Healthcare Models

On-Demand Learning Paths

Discover Your Path

S T U D E N T    T E S T I M O N I A L S

“Very interesting and helpful. I feel confident in exploring Google Cloud further after this presentation. I especially liked how Joy explained how to link Google Cloud and Google CoLab. Thanks for offering this session.”

Dr Stephanie Powers, Professor

“This is the future trend for great search start learning now!”

Nathan Keogh, CTO

“Highly recommend the interactive and engaging approach used by Dr Krohn. His courses always exceed my expectations. A high-quality and in-depth content. This is a great introductory session that will enable you to grasp the key areas of deep learning and it will be a ladder for you to develop your knowledge further in the field.”

Hasani Perera, Bioinformatic Researcher

The #1 Machine Learning Mini-Bootcamp

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