Build on your existing knowledge with intermediate explainable ai techniques and real-world applications.
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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
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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.
Enroll in this path to track your progress and stay motivated.