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Bachelor of Computer Application (BCA) in Cloud Technology and Information Security is a program where students are exposed to various areas of computer applications including the latest developments in the industry.
This unique course provides dual career options for the students in the fast-growing technology sectors of Cloud Technology and Information Security. On the cloud technology front, the programme provides fundamental knowledge of all aspects of Cloud Technology. The course focuses on Virtualization Technology, Cloud Technology, Data Centers, Networking and Operating Systems. On the Information Security front, this course equips the students with the concepts and the technical skills in Information Security. The focus of the course is on the models, tools and techniques for enforcement of Security Policies, with emphasis on Cryptography, Ethical Hacking, Computer Forensics and Virtualization and Cloud Security.
They offer challenging employment opportunities for young professionals with the right skills. Below is a list of career paths for cloud technology professionals.
The Bachelor of Computer Applications in Data Science prepares students for roles related to computer applications and the IT industry, allowing students to develop programming and networking skills, application packages, programming languages, and the latest information technology technologies. A course that helps you learn. The BCA-Course is specially designed to prepare students for the IT field.
This is a list of several positions that successful graduates can apply for:
BCA in Artificial intelligence is a program that deals with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence.This programme is for students who wish to attain the ability to design intelligent solutions to problems in a variety of domains and business applications and fields such as natural language processing, text mining, robotics, reasoning and problem-solving.
The main goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behavior (financial management), recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.
Here is a list of several positions that successful graduates can apply for:
4 Top Recruiting Companies: Amazon , CapGemini, Mphasis, NTTData, Quickheal, SYNTEL, TCS, Vivo Mobile, Wipro, etc.
This program helps students learn the basics of designing artificially intelligent machines, besides providing the much-needed industry exposure through its practical and theoretical subjects.
With AI and DS MCA, students can enroll in MNC to register as a data engineer, civilian data scientist, enterprise data analyst, machine learning engineer, AI engineer, AI data scientist, AI context designer, RPA-programmer, chatbot. You can build a lucrative career as a designer. How to determine TCS, Infosys, Accenture, HCL, Wipro, IBM, etc.
This course aims at introducing the fundamental ideas of the emerging cloud computing paradigm and its origin. This will enable us to understand its enabling technologies, the computer systems constraints, tradeoffs and techniques in setting up and using the cloud. The programme teaches how to deveop and implement cloud architecture, Illustrate the different cloud delivery and deployment models, Develop an application in cloud, apply security strategies, resource mangement and Private cloud deployment.
This course aims to introduce you to the basic ideas and origins of the new cloud computing paradigm. This will help you understand the support technologies, computer system limitations, trade-offs, and techniques for setting up and using the cloud. In this program, you will learn how to design and implement a cloud architecture, demonstrate various cloud deployments and deployment models, develop applications in the cloud, apply security strategies, manage resources, and perform private cloud deployments.
