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Sequences, Time Series and Prediction
This course is part of DeepLearning.AI TensorFlow Developer Certificate.
Course Cost
Free course
Intermediate
Skill Level
20 Hours
Self-paced Video lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full DeepLearning.AI TensorFlow Developer Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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1,40,012 Enrolled
English
What you'll learn
Build and implement time series prediction models using TensorFlow
Master data preparation techniques for time series analysis
Develop expertise in RNN and ConvNet implementation
Create accurate forecasting models using real-world data
Optimize time series predictions using deep learning
Implement practical solutions for sequential data analysis
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course focuses on time series analysis and prediction using TensorFlow. Students learn to prepare time series data, implement various neural network architectures including RNNs and ConvNets, and apply these techniques to real-world problems. The curriculum covers essential concepts from basic forecasting to advanced deep learning approaches, culminating in a practical sunspot prediction project using historical data. Through hands-on programming assignments, learners develop skills in building scalable AI-powered algorithms for time series prediction.
Sequences and Prediction
Module 1 · 5 Hours to complete
Deep Neural Networks for Time Series
Module 2 · 5 Hours to complete
Recurrent Neural Networks for Time Series
Module 3 · 5 Hours to complete
Real-world time series data
Module 4 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: DeepLearning.AI TensorFlow Developer Certificate
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Courses
Laurence Moroney is an award-winning artificial intelligence researcher and best-selling author dedicated to making AI and machine learning accessible to everyone. As an instructor at DeepLearning.AI, he has taught millions through MOOCs and YouTube, while also serving as a keynote speaker at various events. Moroney is a fellow of the AI Fund and advises several AI startups, leveraging his expertise to foster innovation in the field. Based in Seattle, Washington, he is also an active member of the Science Fiction Writers of America, having authored multiple sci-fi novels and comic books. When not immersed in technology, he enjoys indulging in coffee and exploring creative writing.
Frequently asked Questions
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