ON-DEMAND TRAINING
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.
Only available as a part of Subscription Plans. No commitment.
NEW ON-DEMAND COURSES ADDED
MACHINE LEARNING
Time Series Forecasting (with Python)
Complete Reinforcement Learning
Advanced Fraud Modeling
Network Analysis Made Simple
DS 101: Machine Learning & Modelling in Theory & Practice
Introduction to Machine Learning and the Bias-Variance Tradeoff
Supervised Learning : Interpretability
How to Do Data Science with Missing Data
Continuously Deployed Machine Learning
Data, I/O, and TensorFlow: Building a Reliable Machine Learning Data Pipeline
Missing Data in Supervised ML
Recommendation Systems in Python: Fairness in AI Using Open-source Tools & Bias-dashboards
Machine Learning Fundamentals – Calculus
Machine Learning Fundamentals – Unsupervised Learning Series
Introduction to Fraud and Anomaly Detection
Introduction to Data Literacy
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
Graph Powered Machine Learning
Data Annotation at Scale: Active and Semi-Supervised Learning in Python
How to Prepare Your Data for Supervised Machine Learning
DEEP 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
Deep Learning with TensorFlow 2 and PyTorch
Introduction to Face Processing With Computer Vision
Active Learning with PyTorch
An Introduction to Transfer Learning in NLP and HuggingFace Tools
DATA ENGINEERING & DATA ANALYTICS
Complete Python Fundamentals
SQL for Data Science
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
NATURAL LANGUAGE PROCESSING
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
S T U D E N T ⭐ T E S T I M O N I A L S
“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
