- 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
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.
Text processing techniques, Sentiment analysis, text classification.
Module 5. Computer Vision
Image processing fundamentals, Object detection, image classification.
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.
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
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
Introduction, single state case, elements of reinforcement learning, temporal difference learning, generalization, partially observed state.
: 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
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.
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 5. Network Security
Firewalls, IDS/IPS, and access control lists, Secure network design and architecture, Wireless network security.
: Bias and fairness in AI algorithms, Explainable AI techniques, Responsible AI deployment strategies.
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.
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 10. Emerging Trends in Cyber Security
Introduction Cloud security, Internet of Things (IoT) security, Artificial intelligence and machine learning in cyber security.
: Bias and fairness in AI algorithms, Explainable AI techniques, Responsible AI deployment strategies.
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:
- Validation of Knowledge: Certifications authenticate your understanding and proficiency in specific areas, providing employers with tangible evidence of your capabilities.
- Increased Marketability: Certified professionals stand out in a crowded job market, attracting the attention of recruiters and increasing their chances of securing lucrative opportunities.
- 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.
- Enhanced Academic Performance: Certification programs not only enhance your practical skills but also contribute to academic excellence, enriching your learning journey.
- Improved Reputation: Certifications add credibility to your professional profile, fostering trust among clients, colleagues, and employers.
- 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:
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