Artificial Intelligence (AI) Engineer Master's Program Certification - eLearning

Applications

Learn about the major applications of Artificial Intelligence across various use cases across various fields like customer service, financial services, healthcare, etc.

Techniques

Implement classical Artificial Intelligence techniques such as search algorithms, neural networks, and tracking.

Problem Solving

Gain the ability to apply Artificial Intelligence techniques for problem solving and explain the limitations of current Artificial Intelligence techniques.

Mastering

Master the skills and tools used by the most innovative Artificial Intelligence teams across the globe as you delve into specializations, and gain experience solving real-world challenges.

Intelligent Design

Design and build your intelligent agents and apply them to create practical Artificial Intelligence projects, including games, Machine Learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, agent decision-making functions, and more.

TensorFlow

Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline.

Machine Learning

Understand and master the concepts and principles of Machine Learning, including its mathematical and heuristic aspects.

Neural Networks

Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks, and high level interfaces.

Deep Learning

Learn to deploy deep learning models on Docker, Kubernetes, and serverless environments (cloud).

Natural Language Processing

Understand the fundamentals of Natural Language Processing using the most popular library, Python’s Natural Language Toolkit (NLTK).