Deep Learning for Time Series
Free Advanced course · 10 lessons · 4 weeks · Certificate on completion
Apply LSTMs, temporal CNNs and transformers to multivariate sequences — and benchmark them honestly. Across 10 lessons you'll move from fundamentals to a portfolio-ready outcome — at your own pace, with quizzes after each lesson and a final exam to certify your mastery.
What you'll learn
- When deep models beat classical ones
- Windowing multivariate sequences
- LSTM and GRU forecasters
- Temporal convolutional networks
- N-BEATS and N-HiTS
- Transformer forecasters (TFT, PatchTST)
Skills you'll pick up
- When deep models beat classica
- Windowing multivariate sequenc
- LSTM and GRU forecasters
- Temporal convolutional network
- N-BEATS and N-HiTS
- Transformer forecasters (TFT,
Tools covered
- Deep Learning Time Series
- Real-world projects
- Quizzes
- Final exam
Course modules
Module 1: When deep models beat classical ones
Module 1 of Deep Learning for Time Series. 3 lessons · 3h
Module 2: Temporal convolutional networks
Module 2 of Deep Learning for Time Series. 3 lessons · 3h
Module 3: Global models across many series
Module 3 of Deep Learning for Time Series. 2 lessons · 2h
Module 4: Benchmarking against strong baselines
Module 4 of Deep Learning for Time Series. 2 lessons · 2h
Lessons in this course
- When deep models beat classical ones
- Windowing multivariate sequences
- LSTM and GRU forecasters
- Temporal convolutional networks
- N-BEATS and N-HiTS
- Transformer forecasters (TFT, PatchTST)
- Global models across many series
- Probabilistic outputs and quantile loss
- Benchmarking against strong baselines
- Serving sequence models in production
Instructor
Elena Sokolova — Applied ML Researcher
Elena Sokolova is a Applied ML Researcher with years of hands-on experience teaching Deep Learning Time Series to thousands of learners worldwide.
Certificate
Finish every lesson and pass the final exam to earn a free, verifiable Learnera certificate for Deep Learning for Time Series. It can be downloaded as a PDF and shared on LinkedIn.
Career outcomes
Median global salary $152,000 per year · median India salary ₹21,28,000 per year · 42,421 open roles worldwide
- Deep Learning Time Series Specialist
- Senior Deep Learning Time Series Lead
- Deep Learning Time Series Consultant
Frequently asked questions
Is the Deep Learning for Time Series course free?
Yes. Every Learnera course, including Deep Learning for Time Series, is completely free — lessons, quizzes, the final exam, and the certificate.
How long does Deep Learning for Time Series take?
10 lessons, typically completed in 4 weeks at a comfortable pace.
Do I get a certificate?
Yes — pass the final exam and you receive a free, verifiable certificate you can share on LinkedIn.