Build on your existing knowledge with intermediate explainable ai techniques and real-world applications.
Start now · step 1 of 10
on Deep Learning · free to enroll
Depends on the specific domain
Comfortable coding and debugging
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
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateXAI: Explainable AI
AdvancedBut 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
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateXAI: Explainable AI
AdvancedFollow 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
Natural Language Processing: Crash Course AI 7
Explore related content to expand your skills beyond this learning path.
Build on your existing knowledge with intermediate explainable ai 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; Identify and mitigate bias in AI systems; Apply fairness metrics to evaluate models; Design AI systems with transparency in mind.
About 32 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.