Advanced Machine Learning in 30 days
Deep learning with PyTorch, CNNs, model deployment with FastAPI, and MLOps for production.
- Daily plan, 45-60 min a day
- 6 lessons + 18 exercises
- AI tutor included
- No prior coding experience required
- Practice tasks every day
- Build impressive portfolio project
What you will learn
A powered by mentors Advanced plan with structured subtopics, quizzes, and practice tasks.
Deep learning foundations with PyTorch
Build neural networks with tensors, autograd, and the nn.Module API.
CNNs and transfer learning
Use convolutional networks and fine-tune pretrained models on custom data.
NLP and transformer models
Apply BERT and HuggingFace Transformers to text classification tasks.
Model deployment with FastAPI
Serve predictions via a REST API using FastAPI and Docker.
MLOps basics: experiment tracking and CI/CD
Track experiments with MLflow and automate model retraining with CI/CD.
Production ML: monitoring and drift detection
Monitor model performance and detect data drift in production.
See the quiz + practice flow
Three answered questions and a filled code task so you know exactly what to expect.
Quiz preview
2/3 correct1. How long is the Machine Learning plan?
Correct2. What level is this Machine Learning plan?
Incorrect3. Which of these appears in the Machine Learning outline?
CorrectCode practice preview
SubmittedFormat a lesson title
Build a helper that formats a lesson label with a padded index and title.
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A focused, prebuilt plan with quizzes and practice tasks — start in seconds, no setup required.
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