AI & MLAdvanced · 8 weeks
Deep Learning & Neural Networks
Go from ML basics to building real neural networks.
A focused technical program on neural network architecture and training, for learners ready to move beyond classical ML into deep learning.
Live Online
Prerequisites
- —Completed Machine Learning Foundations or equivalent
- —Comfortable with Python and NumPy
- —Basic linear algebra and calculus
What you'll be able to do
- ✓Build neural networks using a modern framework
- ✓Understand and apply backpropagation
- ✓Work with CNNs and RNNs on real datasets
- ✓Debug and tune a training pipeline
Curriculum
Neural Network Fundamentals
- ·Perceptrons and layers
- ·Activation functions
- ·Loss functions and optimizers
Training in Practice
- ·Backpropagation walkthrough
- ·Regularization and dropout
- ·Debugging a training run
Architectures
- ·Convolutional networks for images
- ·Recurrent networks for sequences
- ·Intro to transformers
Format & Duration
Duration
8 weeks
Format
Live Online
Level
Advanced
Ready to find your starting point?
Take the free 15-minute assessment — get your SkillShaft Score and see if this program fits where you are right now.
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