Apply AI to transform healthcare outcomes in 7 months
Machine Learning by Andrew Ng
BeginnerBut what is a neural network? | Deep learning chapter 1
IntermediateDeep Learning Fundamentals with Keras
BeginnerGenerative AI in a Nutshell - how to survive and thrive in the age of AI
IntermediateMachine Learning Crash Course
BeginnerThe Essential Main Ideas of Neural Networks
IntermediateTransformers Explained - How transformers work
IntermediateAI, Machine Learning, Deep Learning and Generative AI Explained
IntermediateHow AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateTransformers, explained: Understand the model behind GPT, BERT, and T5
AdvancedNatural Language Processing: Crash Course AI #7
IntermediateAI for Mental Health and Behavioral Therapy Training Course
AdvancedCausal Inference for Health and Social Scientists
IntermediateAI in Mental Health Certification
IntermediateArtificial Intelligence and Medical Imaging
IntermediateMachine Learning by Andrew Ng
BeginnerBut what is a neural network? | Deep learning chapter 1
IntermediateDeep Learning Fundamentals with Keras
BeginnerGenerative AI in a Nutshell - how to survive and thrive in the age of AI
IntermediateMachine Learning Crash Course
BeginnerThe Essential Main Ideas of Neural Networks
IntermediateTransformers Explained - How transformers work
IntermediateAI, Machine Learning, Deep Learning and Generative AI Explained
IntermediateHow AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateTransformers, explained: Understand the model behind GPT, BERT, and T5
AdvancedNatural Language Processing: Crash Course AI #7
IntermediateAI for Mental Health and Behavioral Therapy Training Course
AdvancedCausal Inference for Health and Social Scientists
IntermediateAI in Mental Health Certification
IntermediateArtificial Intelligence and Medical Imaging
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
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.
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Enroll in this path to track your progress and stay motivated.