Description:

This course teaches doing Deep Learning and Artificial Intelligence at Scale with the popular Apache Spark framework. Get hands-on experience and dive deep into world of Deep Learning and Artificial Intelligence. This Deep Learning & Artificial Intelligence With Apache Spark course is intended for data scientists and software engineers. We assume no previous knowledge of Machine Learning – We teach popular Deep Learning and Artificial Intelligence Algorithms from scratch. Please note the following: This is an intermediate to advance course An In-depth coverage of Math / Stats behind Machine Learning is beyond the scope of this course. Course is taught using Spark & Python. Python Programming knowledge is essential

Course Code/Duration:

BDT253 / 3 – Days

Learning Objectives:

In this course, participants will:

• Describe the role of Deep Learning & AI and where it fits into Information Technology strategies
• Explain the technical and business drivers that result from using Deep Learning & AI
• Discuss how to identify which kinds of technique to be applied for specific use case
• Understand the popular Deep Learning & AI offerings like Amazon Machine Learning, TensorFlow, Azure Machine Learning, Spark mlib, Python and R etc.
• Install and Setup Anaconda
• Perform hands-on activity using Jupyter Notebooks
• Install TensorFlow
• Understand deep learning in the context of machine learning and AI
• Understand neural networks
• Understand the architectural differences between shallow and deep neural networks
• Understand deep Convolutional and Recurrent Neural Networks
• Understand use cases for Convolutional Neural Networks
• Understand use cases for Recurrent Neural Networks
• Understand the relationship between TensorFlow and Keras for applying deep learning
• Understand Apache Spark Deep Learning offerings in the industry
• Understand Apache Spark AI offerings in the industry