Intermediate
AI Engineer
From your first model to generative AI in production.
- 1Intro to Machine Learning
- 2Intro to Deep Learning
- 36.034 Artificial Intelligence
- +1 more
Start path5–8 months part-time
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AI & Machine Learning
Intro to Deep Learning
Build and train neural networks with Keras, including regularisation that works.
Free to enrolIntermediateFree certificateAdded 27 Jul 2026
Rating4.6 / 57k reviews
Duration4 hrsprovider estimate
Lessons6modules
Learners420kenrolled
K
Kaggle Learn
Platform
Free completion certificates on every micro-course.
About this course
Covers the mechanics of a neural network — layers, activations, loss, the optimiser — then moves to the practical matters that decide whether a model is any good: overfitting, dropout, batch normalisation and binary classification.
What you'll learn
- Assemble a network from dense layers and activations
- Train with stochastic gradient descent
- Fight overfitting with dropout and early stopping
- Apply batch normalisation sensibly
Syllabus
- 1A single neuron30 min
- 2Deep neural networks35 min
- 3Stochastic gradient descent40 min
- 4Overfitting and underfitting40 min
- 5Dropout and batch normalisation40 min
- 6Binary classification35 min
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