Online Course – Google’s Certified Professional Internship in Deep Learning for Computer Vision

Internship – Series of 3 courses

This specialization is a fast-paced entry into the field, so you can start training models and developing practical deep learning skills. You don’t need to be an expert programmer or have prior deep learning experience to gain valuable professional skills in this rapidly expanding field.

Deep learning enables engineers and scientists to tackle complex computer vision problems that were previously difficult to solve, such as building autonomous systems like driverless cars. As companies increasingly adopt computer vision technologies, there is a high demand for professionals with deep learning skills. Acquiring these skills will give you a competitive edge in the rapidly changing world of technology.

At the end of this internship, you will be able to:

• Train models for image classification and object recognition
• Train special models for anomaly detection
• Evaluate model performance by going beyond meeting expectations of forecast accuracy
• Interpret the model’s behavior by studying the forecast errors
• Improve model performance by tuning important parameters
• Use AI inference to automatically classify thousands of images
• Create synthetic images for training using data augmentation

While you’re in the internship, you’ll have free access to MATLAB, a software used by leading companies around the world. Courses focus on applications using MATLAB, so you’ll spend less time coding and more time applying deep learning concepts.

Hands-on Learning Project

As part of the internship, you will apply your skills to solve real-world problems through hands-on projects. You will train a classifier that recognizes the letters of American Sign Language. Then, you will train an object recognition model to find and identify parking signs as needed for autonomous driving. Finally, you will identify anomalies in medical images and annotate data using AI to label new data for training.