EITC/AI/ADL Advanced Deep Learning is the European IT Certification programme on Google DeepMind’s approach to advanced deep learning for artificial intelligence.
The curriculum of the EITC/AI/ADL Advanced Deep Learning focuses on theoretical aspects and practical skills in advanced deep learning techniques from the perspective of Google DeepMind organized within the following structure, encompassing comprehensive video didactic content as a reference for this EITC Certification.
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, machine vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance.
To acquaint yourself in-detail with the certification curriculum you can expand and analyze the table below.
The EITC/AI/ADL Advanced Deep Learning Certification Curriculum references open-access didactic materials in a video form. Learning process is divided into a step-by-step structure (programmes -> lessons -> topics) covering relevant curriculum parts. Unlimited consultancy with domain experts are also provided.
For details on the Certification procedure check How it Works.
Download the complete offline self-learning preparatory materials for the EITC/AI/ADL Advanced Deep Learning programme in a PDF file
EITC/AI/ADL preparatory materials – standard version
EITC/AI/ADL preparatory materials – extended version with review questions