
Introduction to Deep Learning
Are you ready to dive into the world of deep learning?
This course will guide you on your deep learning journey. You will learn all key deep learning concepts starting from what deep learning is, how deep learning models work, and how we can develop and use these models to solve real-life problems.
This course is brought to you by AI Business School with contributions from Google, Samsung SDS and Global AI Hub.



We will start with the basics of deep learning and the key concepts you need to know, explore the layers and working principles that give deep learning its name and look at the structure of deep learning models. We will also discover how we can improve deep learning models for better results and the necessary toolkits we need. Throughout our journey, we will gain enough theoretical and practical experience and be ready to tackle real-life problems with guidance from our experts.
World-class lecturers




Price of the course

“Introduction to deep learning” is free, thanks to our partners and contributors as part of the non-profit and social good initiative «10million.AI».
Curriculum
This course covers eight modules, including a series of lessons designed to guide you through the key concepts and further develop your new knowledge with guided projects.
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- Introduction to deep learning
- Artificial neural networks (ANNs)
- Build an artificial neural network
- Convolutional neural networks (CNNs)
- Build a convolutional neural network
- Recurrent neural networks (RNNs)
- Build a recurrent neural network
- Wrap up
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Requirements
- A working computer (Windows, Mac, or Linux)
- Basic Python programming skills
- Basic understanding of machine learning would be a plus
- Basic understanding of math (linear algebra, calculus, and statistics)
Learning activities
The content is delivered in small, bite-sized learning blocks, which include video sessions, assessment questions, coding exercises and summaries.
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Video sessions
have to be marked as complete.
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Coding
to visualize, write and run code in this course, we use Google Colab, where you have to upload the code examples and exercises from the course.
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Guided projects
we will lead you through a practical programming task. You can also solve the task yourself in the template Colab notebook, available for you.
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Assessments
at the end of each module, and in order to continue to the next one, you have to pass the assessment with a minimum score of 60%.
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Final assessment
at the end of the course, in order to get a certificate, you have to pass the final assessment with a minimum score of 60%. It can be taken up to five times.
Don't get stuck. Get answers.
After enrolling in the course, you will be invited to join our “Introduction to deep learning hub”, where you can discuss topics related to the course, share interesting and relevant materials and links, ask questions and engage with peers.
Ready?

Course Includes
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Language: English
- Duration: 5 hours
- Course Hub
- Course Certificate
- Price: Free by «10million.AI» Project
