Codeliq

Deep Learning

Explore neural networks and deep learning architectures powering modern AI systems.

Duration
4 weeks (8 classes)
Founding price
$1,500

Course Overview

Build an intuition for the neural networks that power modern vision and language AI.

Across four weeks, you will train neural networks, study major architectures, and apply deep-learning techniques to practical problems.

Understand
Learn how neural networks represent and learn from data.
Train
Build practical workflows with modern deep-learning frameworks.
Apply
Use deep learning for computer vision and NLP tasks.

What You’ll Learn

Build practical skills in neural networks, model training, and deep-learning applications.

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Neural Networks

Understand how layered networks learn useful representations from data.

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Training Workflows

Train, tune, and diagnose deep-learning models with modern frameworks.

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Modern Architectures

Explore CNNs, RNNs, and transformers for vision and language tasks.

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Applied Deep Learning

Apply neural networks to practical computer vision and NLP problems.

Curriculum

4 weeks (8 classes). Live instructor-led classes.

  1. Week 01

    Neural Network Foundations

    Understand the building blocks of deep learning.

    1. Artificial neurons, layers, activations, and loss functions
    2. Backpropagation, optimization, and representation learning
  2. Week 02

    Training Deep Models

    Build reliable training and evaluation workflows.

    1. TensorFlow or PyTorch model development
    2. Regularization, validation, and training diagnostics
  3. Week 03

    Deep Learning Architectures

    Study architectures for sequential and visual data.

    1. CNNs for computer vision and image features
    2. RNNs and transformers for sequence and language tasks
  4. Week 04

    Applied Deep Learning Project

    Develop and present a practical neural-network application.

    1. Build and evaluate a vision or NLP model
    2. Present results, limitations, and improvement paths
4 weeks8 live classes1 capstone project

Frequently Asked Questions

Everything you need to know before joining.

This course is for learners ready to explore neural networks and modern deep learning architectures after gaining Python and machine-learning foundations.

Deep Learning Course

Build with neural networks

Join the cohort and learn to train modern deep-learning models for real applications.