Skip to main content

Artificial Intelligence + Cyber Security

Learning Objectives

  • Develop a conceptual understanding of game theory
  • Explore some common elements of games
  • Apply gamification strategies to the classroom
  • Design and deliver a gamified lesson from an existing unit of study

About the Course

ST PAULS COLLEGE, in partnership with NetcraftzEduTech (affiliated with the
National Skill Development Corporation (NSDC) under Skill India), offers innovative
add-on courses in Artificial Intelligence and Cyber Security. The program is designed
to bridge the gap between students and the dynamic demands of the industry.
Artificial Intelligence (AI) has revolutionized various industries by enabling
machines to perform tasks that typically require human intelligence. This
comprehensive AI course provides an in-depth understanding of AI concepts,
machine learning algorithms, natural language processing (NLP), computer vision,
and ethical considerations in AI development.
The program in Cyber Security is designed to provide students with a
comprehensive understanding of cyber security principles and practices, as well as
ethical hacking techniques. Students will learn how to protect information
systems, networks, and data from cyber threats, as well as how to identify
vulnerabilities and conduct ethical hacking assessments. The course covers a wide
range of topics, including network security, cryptography, penetration testing,
incident response, and ethical hacking methodologies.

Program Details
Duration: 160 hours spanning across 4 semesters
Schedule: Afternoon sessions, Monday-Saturday (after regular class hours)
Hands-On Training: Students engage in practical exercises, case studies, and real-
world projects to gain valuable hands-on experience.
Expert Faculty: Experienced instructors provide guidance and mentorship, sharing
their industry insights and expertise.
Career Development Support: The course includes workshops, seminars, and
career counseling sessions to help students enhance their employability skills and
prepare for successful careers in their chosen fields.
Certification:
On successful completion, students will be awarded a course completion certificate
both from ST PAULS COLLEGE and NetcraftzEduTec. ST PAULS COLLEGE is an
authorised testing centre for Certiport (a Pearson Vue Business) and an authorised

examination centre for Microsoft. The college facilitates certification from Certiport
and Microsoft interested students.

Artificial Intelligence
Course Content:
Module 1. Introduction to Artificial Intelligence: History and evolution of AI, AI
applications in various industries.
Module 2. Machine Learning: Introduction, Types of machine learning algorithms
(supervised, unsupervised, reinforcement) Model evaluation and selection.
Module 3. Deep Learning: Neural network architectures (CNNs, RNNs), Training
deep learning models.
Module 4. Natural Language Processing: Text processing techniques, Sentiment
analysis, text classification.
Module 5. Computer Vision: Image processing fundamentals, Object detection,
image classification.
Module 6. AI Ethics and Governance: Ethical considerations in AI development
and deployment, Regulatory frameworks and guidelines.
Module 7. Python for AI Development: Introduction to Python programming
language NumPy and Pandas for data manipulation, Tensor Flow and Keras for
building neural networks.
Module 8. R for AI Modeling: Introduction to R language and RStudio environment,
Using R for statistical analysis and data pre-processing, Developing machine
learning models in R.
Module 9. NLTK and SpaCy for Natural Language Processing: Introduction to NLTK
(Natural Language Toolkit) and SpaCy libraries, Tokenization, stemming, and
lemmatization Named entity recognition and part-of-speech tagging.
Module 10. OpenCV for Computer Vision: Introduction to OpenCV library for
computer vision tasks, Image processing techniques such as edge detection, image
filtering, Object detection and recognition using pre-trained models.
Module 11. Ethical AI Development Practices: Bias and fairness in AI algorithms,
Explainable AI techniques, Responsible AI deployment strategies.
Course Outcome:
Upon completing this course, students will:
 Develop AI models using machine learning and deep learning techniques.

 Apply natural language processing and computer vision algorithms to real-
world problems.
 Utilize Python, R, NLTK, SpaCy, OpenCV, TensorFlow, and Keras for AI
development.
 Understand the ethical considerations and governance frameworks in AI
development and deployment.
Job Opportunities:
– AI Engineer
– Machine Learning Engineer
– Data Scientist
– NLP Engineer

Cyber Security

Course Content:
Module 1. Introduction to Cyber Security: Overview of cyber security concepts
and terminology, Understanding the cyber threat landscape, Importance of cyber
security in today's digital world.
Module 2. Fundamentals of Networking: Basic networking concepts and protocols,
OSI model and TCP/IP stack, Network architecture and topology.
Module 3. Cryptography: Principles of encryption and decryption, Symmetric and
asymmetric encryption algorithms, Digital signatures and certificates
Module 4. Operating System Security: Securing operating systems (Windows,
Linux, etc.), User authentication and access control, Patch management and
software updates.
Module 5. Network Security: Firewalls, IDS/IPS, and access control lists, Secure
network design and architecture, Wireless network security.
Module 6. Web Security: Common web vulnerabilities (SQL injection, XSS, CSRF,
etc.), Web application security best practices, Securing web servers and services.
Module 7. Ethical Hacking and Penetration Testing: Introduction to ethical
hacking methodologies, Reconnaissance and information gathering techniques,
Vulnerability assessment and penetration testing tools.

Module 8. Incident Response and Management: Incident detection and response
procedures, Incident handling and escalation processes, Post-incident analysis and
remediation.
Module 9. Legal and Ethical Aspects of Cyber Security: Laws and regulations
related to cyber security, Ethical considerations in hacking and penetration testing,
Privacy and data protection laws.
Module 10. Emerging Trends in Cyber Security: Introduction Cloud security,
Internet of Things (IoT) security, Artificial intelligence and machine learning in
cyber security.
Outcome of the Course:
Upon completing this course, students will:
 Graduates will have a deep understanding of cyber security principles,
techniques, and tools.
 They will be capable of securing information systems, networks, and data
from cyber threats.
 Proficiency in ethical hacking methodologies will enable them to identify
vulnerabilities and conduct penetration testing assessments.
 Strong analytical and problem-solving skills developed during the course will
be applicable in various roles within the cyber security field.
 Graduates will be equipped to adapt to evolving cyber threats and
technologies, contributing to the ongoing efforts to safeguard digital assets
and infrastructure.

Job Opportunities:
– Cyber Security Analyst
– Security Operations Center (SOC) Analyst
– Penetration Tester/Ethical Hacker
– Incident Responder
– Security Consultant
– Hands-on experience with industry-standard tools and techniques will
enhance students' employability.
– Emphasis on practical skills through labs, projects, and real-world scenarios
will prepare students for the challenges of the workforce.
– Industry certifications such as CompTIA Security+, Certified Ethical Hacker
(CEH), and Offensive Security Certified Professional (OSCP) can be pursued
to further validate skills and improve job prospects.

Benefits for Students:
 Enhanced Employability: Acquire in-demand skills and knowledge sought by
employers in the industry.
 Practical Experience: Gain hands-on experience through projects and
internships, applying theoretical concepts to real-world scenarios.
 Industry Connections: Build a strong professional network and access
opportunities for internships, placements, and mentorship.
 Career Advancement: Develop a competitive edge in the job market and
accelerate your career growth trajectory.
Why Choose Certification?
Certifications serve as a testament to your proficiency, validating your knowledge
and expertise in a particular field. Here are some compelling reasons why
certification is indispensable in today's job market:

1. Validation of Knowledge: Certifications authenticate your understanding and
proficiency in specific areas, providing employers with tangible evidence of your
capabilities.
2. Increased Marketability: Certified professionals stand out in a crowded job
market, attracting the attention of recruiters and increasing their chances of
securing lucrative opportunities.
3. Increased Earning Power: Studies reveal that certified professionals command
higher salaries, with IT professionals earning an average of $111,334, 7% more than
their non-certified counterparts.
4. Enhanced Academic Performance: Certification programs not only enhance your
practical skills but also contribute to academic excellence, enriching your learning
journey.
5.Improved Reputation: Certifications add credibility to your professional profile,
fostering trust among clients, colleagues, and employers.
6. Enhanced Credibility: Third-party validation of skills holds more weight than
self-proclaimed expertise, establishing you as a credible authority in your field.

For more details contact:
[email protected]
+919741423066 | 080 66030200

Program Objectives

  • The course presents the application of game elements and digital game design techniques to non-game problems, such as business and social impact challenges.
  • Its main focus is on the mechanisms of gamification, why it has such tremendous potential, and how to use it effectively.
  • In this module, we’ll look at what gamification is, why organizations are applying it, and where it comes from. While there isn’t universal agreement on the scope of the field, a set of concepts are clearly representative of gamification.
  • The course also explains why the concept of games is deeper than most people realize, and how game design serves as a foundation for gamification.

UNIT 1: INTRODUCTION

Introduction – Definition of Gamification – Why Study Gamification – History of Gamification – Game Thinking – Game Elements – Examples and Categories – Gamification in Context – What is a Game – Games and Play – Video Games- Just a Game?

UNIT II: GAME ELEMENTS

Why Gamify- Think like a game designer- Design Rules – Tapping the Emotions – Anatomy of Fun – Finding the Fun – Breaking Games Down – The Pyramid of Elements -The PBL Triad – Limitations of Elements.

UNIT III: THE DESIGN PROCESS AND GAMIFICATION IN PERSPECTIVE

Objectives and Behaviours – Players – Activity Loops – Fun and Tools – Taking Stock – Is Gamification Right for Me – Design for Collective Good – Designing for Happiness.

Pointsification – Exploitation ware – Gaming the Game – Legal issues – Regulatory issues -Beyond the Basics – Inducement Prizes – Virtual Economies – Collective Action – The Future of Gamification.

UNIT IV: GAMIFYING YOUR CLASSROOM

Cryptography Concepts – Encryption Algorithms – Cryptography Tools – Public Key Infrastructure – Email Encryption Disk Encryption Cryptanalysis – Countermeasures

Gains and retains learners’ attention (engages and entertains) – has a competitive narrative – clearly defines policies and procedures – has flow (tasks and rewards are achievable but challenging)- provides fast feedback, and teachers’ learners the content.

Resource exploration:

  • Article: ISTE – “5 Ways to Gamify Your Classroom” (2020)
  • Article: Ditch That Textbook – “20 Ways to Gamify Your Class” (2020)
  • Resource exploration:
  • Article: We Are Teachers – “The Teacher Report: Classroom Management Tricks to
  • Keep Game-Based Learning Running Smoothly” (Hudson, 2012)
  • Video: Tom Driscoll – “Student Perspectives on Gamification” (2013)

UNIT V: GAMIFIED LESSON SUBMISSION AND OBSERVATION

Introduction, single state case, elements of reinforcement learning, temporal difference learning, generalization, partially observed state.

Discussion: Your Gamification Integration Experience – create a video sharing your experience integrating gamification into your BL model. – You may use Screencast-o-Matic, Jing, QuickTime, or any other video making software/digital tool that you prefer. – Provide details regarding one or all of these elements:

  • Student engagement
  • Personalization of the learning experience
  • Student achievement
  • Successes of gamification integration
  • Relevant challenges (and how you overcame them)
  • Anything else you’d like to discuss regarding your blended instructional practice
  • Once you post your video, review and respond to your classmates’ submissions and complete this form.

REFERENCES

  • C BRABHAM, Crowdsourcing, Boston 2013
  • BURKE, gamify: How Gamification Motivates People to Do Extraordinary Things, Gartner 2014;
  • F. HENDRICKS, P.G. HANSEN, Infostorms. How to Take Information Punches and Save Democracy, Springer 2014
  • LERNER, Making Democracy Fun. How Game Design Can Empower Citizens and Transform Politics, Boston (MA) 2014;
  • NORRIS, Digital Divide, Civic Engagement, Information Poverty, Cambridge 2001
  • S. NOVECK, Smart Citizens, Smarter State, Cambridge (MA) 2016
  • R. SUNSTEIN, Why Nudge? The Politics of Libertarian Paternalism, NewHaven 2014
Close Menu