The Certified Applied Deep Learning Professional (CADLP) professional certification is designed to provide a comprehensive understanding of deep learning and its practical applications. This program is designed for individuals who are interested in acquiring skills in the field of deep learning and enhancing their career opportunities in this rapidly growing field. The program covers various topics including TensorFlow and computational graphs, neuron and feedforward neural networks, training and regularization of neural networks, and metric analysis for neural networks. The program aims to equip participants with the necessary skills and knowledge to develop deep learning models and to solve complex problems in various industries.

Certification Program Objectives:

• Understand the fundamentals of TensorFlow and computational graphs
• Build and train single neuron and feedforward neural networks
• Implement regularization techniques to improve neural network performance
• Analyze model performance using various metrics and techniques.

Certifying Examination:

• To be certified as CADLP, student should take up a 1.5 hours exam at the designated examination centers.
• The qualifying exam would consist of 50 multiple choice questions, testing core certification modules.
• Professionals with relevant experience and other qualifying criteria may be exempted from the examination.

Modules:

1. Introduction to TensorFlow and Computational Graphs
2. Neuron and Feedforward Neural Networks
3. Training and Regularization of Neural Networks
4. Metric Analysis for Neural Networks