Course promo video



Idea behind this course

A while back I wanted to build a side project that had different machine learning blocks.

I needed to collect data, train a deep learning model on the cloud, and finally deploy my model as part of a web app.

This in fact represents the full pipeline of a machine learning project.

The resources online that shows you how to do this from start to finish are very scarce.

I was able to finish my project by piecing together different things that I learned by spending hours of research.

That's when I decided to create an online course that explains step by step how to build such a machine learning pipeline. Which is the course that you're looking at right now!


Skills You'll Gain


  • How to use deep learning for image recognition tasks


  • How to use Tensorflow 2 to build a neural network from scratch


  • How to leverage transfer learning to get a high model accuracy


  • How to train your deep learning model on Google AI Platform


  • How to containerize your code using Docker



  • How to deploy your model as a web app using Google Cloud Run and Flask


Deep Learning project to add to your portfolio


You will build a deep learning model from scratch.

You will train your model on a custom dataset.

After finishing all the training steps, you will be building a simple web app.

This app will use your trained deep learning model to classify different images of food and dishes into 11 categories (rice, meat, vegetables, ...)

You will deploy this app using Flask and Google Cloud Run.

You can then share a link to your web app on your resume to showcase your work to recruiters!

Course Instructor


Nour Islam Mokhtari

Machine Learning Engineer & Instructor


I am a machine learning engineer with a focus on computer vision applications. I have 3 years of experience developing and maintaining deep learning pipelines. I worked on several artificial intelligence projects, mostly focused on applying deep learning research to real world industry projects. My goal is to help my students learn and acquire real world and industry focused experience. I aim to build courses that can make your learning experience smooth and focused on the practical aspects of things!

Students Testimonials

Hassan

"Overall, the course was amazingly stunning. Appreciated the teaching style which included building from simplicity and encouragement to practice."

Roy

"Truly awesome course. Each and every concepts nicely and perfectly explained. Jr to Sr level people easily understand all the concepts and improve their skills easily. Highly recommend this course to learn and improve skill in Machine Learning!"

Course Curriculum


  Introduction and software setup
Available in days
days after you enroll
  Building your deep learning model
Available in days
days after you enroll
  Introduction to Google Cloud Storage
Available in days
days after you enroll
  Dockerizing our code
Available in days
days after you enroll
  AI Platform on Google Cloud Platform
Available in days
days after you enroll
  Serving our trained model using Cloud Run and Flask
Available in days
days after you enroll

Get the course!