Multisoft Systems is a lead name in the field of Python Training
Multisoft Systems is one of the globally acknowledged names in the field of corporate and industrial training. It has actively engaged in providing a wide range of certification courses, including the Python® courses.
Data Science with Python
The Data Science with Python course is ideal for you if you wish to learn various libraries and packages required to perform data analysis.
Big Data and Hadoop Training
Ideal for data scientists, data architects, Hadoop administrators, and other data-related decision-makers, the Big Data and Hadoop Training introduces Hadoop, MapReduce, and Hadoop Distributed File system to the aspirants. It tells the real-world use of Hadoop and the role of the Relational Database Management System (RDBMS) and Grid computing.
AWS Solution Architect - Associate Level Training
Pursue the AWS Solution Architect - Associate Level Training to learn how to launch clusters, manage back up and use metrics using Amazon ElastiCache, manage security over new Virtual Private Cloud (VPC) using Amazon VPC, and configure Amazon Route 53 as DNS Service.
AWS DevOps Engineering Training
The AWS DevOps Engineering Training is ideal for software developers and software administrators. Its another popular Python Training (https://www.multisoftsystems.com/
Artificial Intelligence (AI) and Deep Learning Advance Training
A graduate professional who is interested in Artificial Intelligence, Machine Learning or Deep Learning is eligible for this course. It gives a complete understanding of AI, how to develop AI-based systems, and the process of optimizing the AI practices in the best possible ways.
Apache Spark Training
The Apache Spark Training deals with the use and applications of Apache Spark. Enroll in this training if you wish to know how Spark provides cluster computing facility for lightning speed, how it tackles data processing scenarios, and how Spark runs the technologies like: Hadoop, standalone, or in the cloud.
Noida - 201301 (India)
Phone: (+91) 9810306956