This course is professionally designed by professionals for individuals who want to break into cutting-edge Artificial Intelligence (AI) and take advantage of AI and its related technologies while building new applications from scratch or thinking of enabling the legacy applications to leverage the power of AI. This course starts from the basics of Artificial Intelligence and takes you step by step into the more advanced topics with hands on exercises, real-world examples, and problem solving with respect to industrial usage and best practices.

Learning Outcomes:

Upon completion of this course, participants will be able to:

Understand the fundamental concepts of Artificial Intelligence (AI), Neural Networks, Deep Learning, Natural Language Processing etc. Build, train, and deploy different types of predictive models with respect to industry best practices and large-scale real- world application requirements. Application of Deep Learning to real-world scenarios such as object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. Master Deep Learning at scale with accelerated hardware and GPUs. Use of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems. Integrate the AI based predictive models into professional applications for real time predictions.