Deep Learning with Python Course
Dive into deep learning using Python to create short text classifiers with CNNs, RNNs, and transformers. Gain skills in data preparation, feature engineering, model training and tuning, evaluation, explainability, and deployment of reliable, ethical NLP models for practical applications in tech environments.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches building precise short-text classifiers using Python. You'll source datasets, preprocess text through cleaning and tokenisation, craft effective features, and implement CNN, RNN, and transformer models. Master hyperparameter tuning, imbalance management, proper evaluation metrics, model explainability, and deploying efficient models with monitoring and ethical practices.
Elevify advantages
Develop skills
- Build strong short-text classifiers using CNN, RNN, and transformer architectures.
- Develop impactful text features via tokenisation, embeddings, and data cleaning.
- Create reliable NLP pipelines with proper data splits, versioning, and augmentation.
- Optimise deep learning with hyperparameter tuning and performance monitoring.
- Deploy efficient, ethical models featuring low latency and high explainability.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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