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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