Advanced Machine Learning Classroom Training Bengaluru

MessageThis Webinar is over
Date Aug 23, 2018
Time 10:00 AM to 06:00 PM IST
Cost 20,000.00
Online
Advanced Machine Learning training program aimed at incorporating Machine Learning concepts right from data analysis to the automation of decision models, over 3 days—23rd, 24th, and 25th August 2018. Cognixia advanced Machine Learning classroom training course is best suited for classroom and corporate training where candidates learn a number of concepts and hone their skills, acquiring new ones, in a time-efficient manner. 

Machine Learning and Artificial Intelligence have great disrupting implications in the business landscape. Incorporating these technologies, business forecasting and decision-making is greatly enhanced. Machine Learning and AI, thus finds its wide application in Data Analytics, e-commerce, workplace communication, healthcare, human resource management, cyber security, retail, manufacturing, and many more applications and industries.

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Trainer Profile for the Course
Our trainer for this course is an industry practitioner with more than 13 years of experience in software development. As a Developer, Architect, Consultant, Presales & Trainer, the trainer for this course has had a rich experience in leading the architecture, design, development, implementation of large-scale and highly available enterprise-wide architecture systems with integration with third-party systems.

With excellent presentation & communication skills, he has conducted more than 75+ corporate trainings, 500 + hours of online training & multiple consulting assignments in the areas of Cloud computing with AWS, ElasticSearch with Kibana & Logstash, Apache Kafka, Redis, RabbitMQ, BigData with Hadoop & Spark, Data Science/Machine Learning in Python & R, DevOps – CI/CD with Docker, NoSQL(CouchDB, Couchbase, Neo4j, Kong wit Kafka, Cassandra) and has also conducted trainings for employees of Flipkart, Verizon, Dell, Fidelity, Gemalto, Incedo, Newgen, KPIT, CDot, and Global Online batches.

 


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