
In this session you will learn the Introduction and history of Artificial Intelligence
The session will explains the Goals & Importance of AI
The session will elaborate on Type-I of Artificial Intelligence based on Capabilities.
The session will explains about Type-II of Artificial Intelligence based on Functionality.
This session will fetch the knowledge of Introduction of Machine Learning & Deep Learning along with applications of AI.
This session will give you the information about Embedded System which is considered as foundation for IoT system.
This session will give you the basic knowledge of IoT, Definition, Characteristics, Physical design of IoT
This session will elaborate on IoT Protocols, Logical Design of IoT, IoT Communication Models, IoT Applications, IoT Issues & challenges.
In this session you will learn about the History and detail concept of Digital Forensics.
The session will explains about the models of Digital Forensics.
You will be able to understand the concept of Digital Forensic Investigation
This session will give you the description about Rules of evidence, Characteristics of evidence, Types of evidence and Challenges in evidence handling procedure.
After Completion of this session you will be able to describe the concept of hacking and Ethical Hacking in detail.
This session will explain the details of ethical hacking principles and ethical hacking procedures.
This session will elaborate on Network, Operating System and massaging system vulnerabilities.
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.