Artificial Intelligence
Certification Training

Discover the core of Deep Learning and Machine Learning to hit a home run

Artificial Intelligence courses are curated to train learners in the fields of Deep Learning and Machine Learning. Trained professionals get a great opportunity in building speech recognition machine, computer vision, language detection machine, robotics, etc. Learners can pick up from an array of our AI courses, such as, AI & Deep Learning, Graphical Models, Machine Learning with Mahout, Natural Language Processing with Python, and Reinforcement Learning.


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All Artificial Intelligence Courses

  • Advanced

    AI & Deep Learning with TensorFlow

    AI & Deep learning with TensorFlow certification course is designed to acquaint learners with Artificial Intelligence and Machine Learning technologies. It helps learners gain practical knowledge to develop Deep Learning models using TensorFlow. It aims to develop proficiency of learners in concepts, such as, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM), SoftMax function. The course also introduces learners to Keras API and TFLearn API.

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    Graphical Models Certification Training

    Graphical Models Certification Training teaches the basics of graphical models, their types, representations, and related concepts. Candidates will primarily learn about Bayesian Networks (directed graphs) and Markov's Networks (undirected graphs). These are used for machine learning in intelligent systems, speech recognition, diagnostics, and more.

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    Machine Learning with Mahout Certification Training

    This course is devised to educate learners about the development of scalable Machine Learning algorithms using Apache Mahout. It is designed to provide an integrated package of Machine Learning and Big Data using Apache Mahout. It aims to train learners in instantly executing their own algorithms.

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    Natural Language Processing with Python Certification Course

    Natural Language Processing (NLP) is a part of Artificial Intelligence (AI) that backs meaningful communication between a computer and human to meet a valuable objective. Virtual assistants like Alexa, Siri, Cortana, and Ok Google use NLP to interact with humans. Using Python?s NLTK package, this course will take you through the essentials of how NLP is done, including text processing, text classification, machine learning algorithms, syntax tree parsing, POS tagging, and more.

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    Reinforcement Learning

    Reinforcement learning is a part of machine learning. In this kind of training, the intelligent system learns to take the best path by trying all the possible paths. There is no training dataset involved in this machine learning process. In this course, the candidates will learn primarily about the Markov decision processes, dynamic programming, bandit algorithms, and more.

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