Healthcare Professional to AI Specialist Learning Path

The original Stanford ML course taught by Andrew Ng

But what is a neural network? | Deep learning chapter 1

Intro to deep learning using Keras. Build neural networks for image classification and regression.

Generative AI in a Nutshell - how to survive and thrive in the age of AI

Fast-paced introduction to machine learning using TensorFlow. Covers essential ML concepts with hands-on exercises and real-world examples.

The Essential Main Ideas of Neural Networks

Transformers Explained - How transformers work

Learn AI, Machine Learning, Deep Learning and Generative AI Explained

How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile

Transformer Neural Networks - EXPLAINED! (Attention is all you need)

Illustrated Guide to Transformers Neural Network: A step by step explanation

Learn Transformers, explained: Understand the model behind GPT, BERT, and T5

Natural Language Processing: Crash Course AI 7

An advanced professional program that examines the use of AI technologies in mental health assessment, diagnosis, treatment, and behavioral therapy. It focuses on enhancing the understanding of AI-fueled tools for practitioners, mental health professionals, and data scientists.

An in-person course that introduces a general-purpose causal inference framework for experimental and non-experimental data, with a focus on health interventions.

This certification program provides knowledge and skills at the intersection of AI and mental health care. It covers innovative AI applications in diagnosing, treating, and monitoring mental health conditions, including chatbots, predictive analytics, and wearable technologies, along with ethical considerations.

This course provides a comprehensive guide to the use of artificial intelligence in medical imaging, including key processes such as image segmentation, classification, feature extraction, and deep learning techniques. It is tailored for healthcare professionals, data scientists, AI developers, and medical students.