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Learn Basic of Emerging Trends in Computer
Rating: 4.3 out of 5(44 ratings)
2,648 students

Learn Basic of Emerging Trends in Computer

Emerging Trends in Computer & Information Technology
Last updated 4/2021
English

What you'll learn

  • Emerging Trends in Computer & Information technology Field

Course content

5 sections15 lectures1h 44m total length
  • Introduction & History of Artificial Intelligence6:20

    In this session you will learn the Introduction and history of Artificial Intelligence

  • Goal & Importance of AI4:38

    The session will explains the Goals & Importance of AI

  • Types of AI based on Capabilities5:32

    The session will elaborate on Type-I of Artificial Intelligence based on Capabilities.

  • Types of AI based on Functionality3:48

    The session will explains about Type-II of Artificial Intelligence based on Functionality.

  • Application of AI, Machine Learning & Deep Learning11:19

    This session will fetch the knowledge of Introduction of Machine Learning & Deep Learning along with applications of AI.

Requirements

  • Be able to identify the concepts of Computer Sciences.

Description

The aim of this course is to  help students to attain the industry identified competency through various teaching learning experience: acquire knowledge of emerging trends. Advancements and applications of Computer Engineering and Information Technology are ever changing. Emerging trends aims at creating awareness about major trends that will define technological disruption in the  upcoming years in the field of Computer Engineering and Information Technology. These are some emerging areas expected to generated revenue, increasing demand as IT professionals and open avenues of entrepreneurship. The Objectives of the course are Differentiate between Machine Learning & Deep Learning, State IoT issues & Challenges in deployment, Describe the given model of Digital Forensics Investigation, Describe the given evidence handling, Describe the need to hack your own systems, Describe Database Vulnerabilities. The outcomes of the course are Describe Artificial Intelligence, Machine Learning & Deep Learning: Describe the concept of AI, State the components of AI, Differentiate between Machine Learning & Deep Learning, Interpret IoT Concepts: Describe IoT Systems in which information and knowledge are inferred from data, State IoT issues and challenges in deployment, Compare Model of Digital Forensic Investigation: Describe the given model of Digital Forensics Investigation, State the ethical and unethical issues in Digital Forensics, Describe Evidence Handling Procedures: List the rules of digital evidence, Describe the given evidence handling procedures, Describe Ethical Hacking Process: Describe the need to hack your own system, Detect Network, Operating System & Application vulnerabilities: Network Infrastructure vulnerabilities (Wired/Wireless),Describe Messaging Systems vulnerabilities.

Who this course is for:

  • Beginners of Software developers, Under graduates in Computer Science