Build on your existing knowledge with intermediate ai/ml career techniques and real-world applications.
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Linear algebra, probability, and calculus fundamentals
Comfortable writing Python scripts and using libraries
But what is a neural network? | Deep learning chapter 1
IntermediateThe 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
IntermediateLearn Machine Learning Like a GENIUS and Not Waste Time
IntermediateAll Machine Learning algorithms explained in 17 min
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateBut what is a neural network? | Deep learning chapter 1
IntermediateThe 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
IntermediateLearn Machine Learning Like a GENIUS and Not Waste Time
IntermediateAll Machine Learning algorithms explained in 17 min
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
But what is a neural network? | Deep learning chapter 1
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 Machine Learning Like a GENIUS and Not Waste Time
All Machine Learning algorithms explained in 17 min
Natural Language Processing: Crash Course AI 7
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Build on your existing knowledge with intermediate ai/ml career techniques and real-world applications.
You'll work through Deepen your understanding with advanced concepts; Build more complex real-world projects; Learn optimization and best practices; Build and train machine learning models from scratch; Understand supervised, unsupervised, and reinforcement learning paradigms; Evaluate model performance using industry-standard metrics.
About 3 hours of study across 10 courses — and you can go at your own pace.
It's pitched at intermediate level, so a little prior familiarity helps.
10 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.