Learn Basic of Emerging Trends in Computer

Learn Basic of Emerging Trends in Computer, available at Free, has an average rating of 4, with 15 lectures, based on 38 reviews, and has 2375 subscribers.

You will learn about Emerging Trends in Computer & Information technology Field This course is ideal for individuals who are Beginners of Software developers, Under graduates in Computer Science It is particularly useful for Beginners of Software developers, Under graduates in Computer Science.

Enroll now: Learn Basic of Emerging Trends in Computer

Summary

Title: Learn Basic of Emerging Trends in Computer

Price: Free

Average Rating: 4

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Emerging Trends in Computer & Information technology Field

Who Should Attend

Beginners of Software developers, Under graduates in Computer Science

Target Audiences

Beginners of Software developers, Under graduates in Computer Science

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 areDifferentiate 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.

Course Curriculum

Chapter 1: Introduction to Artificial Intelligence

Lecture 1: Introduction & History of Artificial Intelligence

Lecture 2: Goal & Importance of AI

Lecture 3: Types of AI based on Capabilities

Lecture 4: Types of AI based on Functionality

Lecture 5: Application of AI, Machine Learning & Deep Learning

Chapter 2: Internet of Things

Lecture 1: Embedded System

Lecture 2: Introduction to IoT

Lecture 3: IoT Communication Model & Applications

Chapter 3: Digital Forensics

Lecture 1: Introduction & history of Digital Forensics

Lecture 2: Models of Digital Forensics

Lecture 3: Digital Forensics Investigation

Chapter 4: Digital Evidence

Lecture 1: Digital Evidence

Chapter 5: Hacking

Lecture 1: Basics of Ethical Hacking

Lecture 2: Ethical Hacking Principles and processes.

Lecture 3: Types of Hacking

Instructors

Abdul Aziz Patel Khan
Lecturer

Rating Distribution

1 stars: 0 votes

2 stars: 4 votes

3 stars: 4 votes

4 stars: 7 votes

5 stars: 23 votes

Frequently Asked Questions

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