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Deep Learning Training Bootcamp - Hands-On with Python, TensorFlow

Lagos State
Start Date:
January 28, 2018
End Date:
March 11, 2018
2:30pm to 5:30pm


Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Machine Learning and Deep Learning are behind these innovations. In the recent times, it has been proven that Deep Learning approach to solving a problem gives far better accuracy than other approaches.
This course is designed for those who want to gain hands-on experience in solving real-life problems using Deep Learning. After finishing this course, you will find creative ways to apply your learnings to your work. For example
You would like to build a robot which can recognize faces or change the path after discovering obstacles on the path.
Or maybe you would like to unearth hidden gems (like predicting next year revenue or fraudulent transactions or building a recommendation engine etc) in your company's tons of data(logs, financial records, HR reports or e-commerce transactions reports).
The course also prepares you to become top-rated Deep Learning Engineer and similar roles.

Tools and Technologies covered:
Tensor Flow, Artificial Neural Networks, Training Deep Neural Nets, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, Reinforcement Learning, Machine and Deep Learning Project Approach, Projects
For more on curriculum, please click here

Deep Learning Training Bootcamp - Live Instructor-led Online Classes
36 Hours of Live online instructor-led classes
Classes spread over 12 sessions of 3 hours each
90 days of lab access (real-life production cluster with all the tools pre-configured)
Training by industry experts
Lifetime access to course content
Real life projects
Earn certificate
LinkedIn recommendation and endorsement
24x7 online experts help

What To Expect:
The Classes - The classes are held online on for 3 hours each for an overall of 36 hours. Classes will be conducted on Saturday and Sunday
The Mode - We use Google Hangouts or Zoom to enable live, interactive classes that are also recorded for future reference.
The Audience - We have a global audience that logs in to work hand in hand with our world-class instructors.
The Certificate - Get certificate after completing the course