Applied Deep Learning

Artificial Intelligence has made leaps and bounds in the past few years. Deep Learning, one of the most important driving forces of this AI revolution has become an essential technique to tackle complex challenges such as Computer Vision, Natural Language Processing, and Voice Recognition. In this course, you will learn the essential tools and skills required to apply DL to real-life problems.

Fill out the inquiry form below to talk directly to our program advisor.

At a Glance

Advanced

What you will learn

We understand that there are theoretical underpinnings to cover. Most importantly, we know that we need to head beyond the classroom to truly work in this field. For example, by rolling up our sleeves and finding a way to package our work, tuning and molding a model to different setups, whether they be predictions with a CPU, an industrial-grade embedded system, or a beefy datacenter GPU like the A100.

In this advanced program, you will learn deep learning techniques and use cases in computer vision and NLP.

Summary

Tensorflow, Keras, PyTorch, GPU

Computer Vision, NLP, Forecasting, Recommender Systems

Experienced AI Researchers and Data Science Professionals

Increase the odds of getting hired by building cool projects

Part-time

Online Live

16 weeks

About the Program

The Applied Deep Learning course is developed for data scientists who want to up-skill themselves or students and professionals who want to learn applied AI techniques for a career transition. It prepares learners with the necessary theoretical and technical foundations before getting more specialized. Students are required to have python and basic machine learning knowledge before enrolling in this course.

for those who want to

Upskill themselves and get specialized in applied deep learning
Get a job in AI

Speak to our advisor

Our Program Advisor can answer all your questions and help you pick a program that best suits your need. Please fill in your information below and we will contact you.

You can also contact us at info@weclouddata.com or (647) 588-4206

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What you will learn

In-depth knowledge of deep learning theory
Gaining in-depth knowledge of neural networks and deep learning techniques

Neural Networks and backpropagation
Different activation functions
Various optimization methods
Regularization techniques
Batch normalizations
Master industry-leading DL tools and platforms
Practice deep learning techniques using the most popular tools such as Tensorflow 2.0, Keras, PyTorch and learn how to speed up your processing using GPU servers

Tensorflow 2.0
Keras
PyTorch
AWS/Azure GPU
Apply deep learning to real-life problems
This course is extremely hands-on. Students will learn how to use Tensorflow and Pytorch to train deep neural nets to solve various data challenges including image classifications, natural language processing, transfer learning, anomaly detection, recommender systems.

Image Classification using Convolutional Neural Networks (CNN)
NLP using RNN and LSTM
Sentiment Analysis using Transfer Learning
Embeddings for Recommender System
Autoencoders for Anomaly Detection
Build your AI portfolio under the guidance of our AI mentors
Throughout the course, students will need to complete two deep learning projects. Our assistant instructors and AI mentors will provide the guidance and support you need to build something awesome.

Receive TA support
Guidance from mentors on project ideation
Work on unique and cool projects

Resources

Watch our recorded webinar and learn more about Data Science career and industry insights.

Meet Your Faculty: Ali Madani

Meet Your Faculty: Farnoosh Khodakarami

Building the Mini-B Robot by Rhys Williams

Instructors & Guest Speakers

Ali Madani

Machine Learning Team Lead, Cyclica

Ali is the head of machine learning at Cyclica Inc. and leads the team to further improve Cyclica’s deep learning technology for predicting interaction between ligands and target proteins. As a computational biologist and machine learning specialist, Ali has worked on a series of scientific articles in high impact scientific journals and international conferences covering such fields as transfer learning, dimensionality reduction and unsupervised clustering. He earned a Ph.D degree from the University of Toronto, and a master of a mathematics degree from the University of Waterloo.

Farnoosh Khodakarami

Machine Learning Researcher, Cyclica

Experienced computer scientist with a demonstrated history of working in the research industry. Skilled in application development with experience in machine learning applications. Strong research professional with a Doctor of Philosophy (Ph.D.) focused in Computer Science from the Amirkabir University of Technology – Tehran Polytechnic. Creative, self-motivated and committed to working with a team-player attitude, great problem-solving skills and ability to quickly grasp new concepts.

Yi Zhang

Senior AI Applied Research Scientist at ServiceNow ATG

Dr. Yi Zhang is a Computer Scientist specializing in NLP, Machine Learning, and AI, working as a Senior AI Applied Research Scientist at ServiceNow Advanced Technology Group. He has years of academia and industry experience and has architected solutions to convert the latest technology to robust Business Intelligent. Prior to his previous experience as the Head of Engineering at NLPMatics, he also assumed team lead role at Tencent and Research Scientist at Chan Zuckerberg Institute.

Holly Xie

Machine Learning Scientist @ Integrate.ai

Holly is currently a Senior Applied Scientist at Xero. She has a background in Math and Statistics from University of Waterloo and worked as a Machine Learning Scientist at Intergrate.ai. She is passionate about machine learning and computer vision and has been teaching the Machine Learning course with WeCloudData for the past 3 years.

Rhys Williams

AI Engineer @BeamData | AI Instructor @WeCloudData

Rhys Williams is the lead AI engineer at BeamData. He is an AI and Robotics lover. He’s been teaching the Python for Data Science courses with WeCloudData and currently is in charge of the Deep Learning Capstone project course. He loves robotics, raspberry pi, deep learning, and has developed his AI robot Mr-B. Check out Mr-B’s videos on his Instagram: https://www.instagram.com/rhysdgw/

Online Learning Platform

Learn anywhere, anytime

Track your learning journey

Watch lecture recordings, work on coding challenges, ask for TA help, and get resume and job support. The learning portal allows you to track your entire learning journey with ease.

Sharpen your coding skills

Leverage our online coding tool to test your knowledge, identify your weaknesses, and improve your Python and SQL coding skills. The LeetCode style live coding challenges will help you get prepared for technical job interviews.

PORTFOLIO PROJECTS

The data & AI job market is extremely competitive. It’s hard to stand out and get noticed without relevant background and experience. This program focuses on applied deep learning techniques with a relentless focus on hands-on projects.

What you will work on

Learn how to scope out AI projects and map out the workflow
Work on machine learning project from inception to completion
Work in an agile project management environment and learn how to break down tasks using Scrum

PAST STUDENT PROJECTS

Reviews

What our students are saying

 5/5

The lectures have been amazing! Both instructors are awesome – it’s obvious that they are experts in this domain. They both have the ability to explain concepts in such a way that they can be understood. The slides are also very helpful and provide a solid reference point for the topics discussed thus far. Overall, very happy that I am taking this course and would definitely recommend to colleagues and friends.

– Grace T. –

 5/5

Thank you so much for coordinating an awesome course. The assistant instructor was really great in exposing to us how course material is applied in production level environment. I also like the instructor’s approach of pushing us to build from fundamental to real project using PyTorch first. And then progressing to Tensorflow. Personally, I think it’s a super awesome course, but I believe you really have to dig yourself into the contents and dedicate many head banging hours. But course material is very practical both in theory and application. Thanks much!

– Jason Lee –

Schedule, Tuition & Financing Options

Worldwide Online

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View our Applied Deep Learning course package

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I would like to receive the newsletter to keep updated about WeCloudData courses, events and job board information

About the Program

Speak to our advisor

What you will learn

In-depth knowledge of deep learning theory

Master industry-leading DL tools and platforms

Apply deep learning to real-life problems

Build your AI portfolio under the guidance of our AI mentors

Resources

Instructors & Guest Speakers

Learn anywhere, anytime

Track your learning journey

Sharpen your coding skills

PORTFOLIO PROJECTS

Reviews

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Let’s Connect!

View our Applied Deep Learning course package

View our Applied Deep Learning course package

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