UG Certification in GenAI for Cybersecurity
This programme is offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE).
About the Programme
The UG Certification in Generative AI for Cybersecurity is a 24 Months program designed to equip undergraduate students with the knowledge and skills to apply generative AI technologies in the field of cybersecurity. The program provides a comprehensive curriculum that covers AI-driven threat detection, predictive analytics, vulnerability assessment, and automated response systems, all essential for modern cybersecurity practices. Students will gain hands-on experience by working on real-world projects, using AI tools to detect, prevent, and mitigate cybersecurity threats.
The curriculum also explores ethical implications, data privacy, and the evolving role of AI in defending against cyber threats. By the end of the program, students will be prepared to pursue careers in AI-enhanced cybersecurity roles, equipped with both technical expertise and practical experience in securing digital infrastructures.
Key Skills Developed
Who is the programme for?
The UG Certification in Generative AI for Cybersecurity is ideal for undergraduate students, recent graduates, and early-career professionals who are interested in the intersection of artificial intelligence and cybersecurity. This program is particularly well-suited for students pursuing careers in cybersecurity, data science, or AI development, and those who want to specialize in using generative AI to enhance security systems. No prior experience in cybersecurity or AI is required, but a basic understanding of programming and computer science concepts will be beneficial. Whether you're looking to defend digital infrastructures, improve threat detection, or innovate cybersecurity solutions, this program provides the essential skills and practical experience needed to succeed in this rapidly growing field.
How will you study?
The UG Certification in Generative AI for Cybersecurity employs a blended learning approach that combines theoretical knowledge with practical application. You will study through a mix of:
- Live Online Classes: Interactive sessions with industry experts, providing real-time guidance and opportunities for discussion.
- Pre-recorded Video Lectures: Self-paced learning modules that allow you to study at your convenience and revisit complex topics.
- Hands-on Projects: Practical assignments that focus on applying generative AI techniques to solve real-world cybersecurity challenges, including threat detection, risk mitigation, and system optimization.
- Lab Sessions: Guided practical exercises where you will build and deploy AI models to address cybersecurity problems.
- Capstone Project: A final project where you will work on a real-world cybersecurity problem, integrating generative AI solutions to create effective security systems.
- Industry Case Studies: Exposure to real-world cybersecurity case studies that provide insights into how AI is being used to tackle emerging threats.
- Mentorship and Peer Collaboration: Personalized guidance from mentors and the opportunity to collaborate with peers, fostering a deep understanding of the material.
This hands-on, practical approach ensures that you gain the technical expertise and problem-solving skills required to excel in the cybersecurity field using generative AI technologies.
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning (SSML) is committed to maintaining the highest academic and industry standards, supported by endorsements from globally recognized organizations such as the Machine Learning Accreditation Council (MACUL) and the All India Council for Technical Skill Development (AICTSD). These esteemed accreditations ensure that SSML’s initiatives align with international benchmarks, guaranteeing academic excellence and relevance in the rapidly evolving AI landscape.
In addition to these accreditations, SSML is proud to announce strategic collaborations with several distinguished academic and research institutions, as well as leading organizations across various industries. These partnerships enhance the institution's offerings, providing students with unparalleled access to cutting-edge AI research, development, and industry applications.
Key Collaborations Include:
- Ambaincip School of Business: Renowned for its focus on business innovation and entrepreneurship, Ambaincip contributes to developing AI-powered solutions to address real-world business challenges, helping students apply AI in practical business contexts.
- Narsamma School of Finance and Blockchain: This collaboration focuses on advancing AI applications within the financial sector, with a particular emphasis on blockchain, cryptocurrency, and decentralized finance (DeFi), empowering students to lead financial innovations through AI.
- Monappa School of Quantum Computing: Partnering in the realm of quantum algorithms and quantum machine learning, this collaboration offers students the opportunity to explore the intersection of quantum computing and AI, addressing complex issues that were previously unsolvable.
- Kamber School of Researchers: A research-driven institution at the forefront of pioneering AI research and development, Kamber School offers students the chance to engage in collaborative research projects with leading AI experts.
- BlackwellAi - LaB Innovation: A cutting-edge innovation lab dedicated to AI and machine learning technologies, BlackwellAi fosters the creation of AI solutions across various industries, advancing SSML’s commitment to solving global challenges with AI-driven innovations.
Impact of Collaborations:
This extensive network bridges the gap between academia, research, and industry, fostering a multidisciplinary approach to AI and machine learning development. With expertise in sectors such as finance, blockchain, quantum computing, and business innovation, SSML ensures its students receive a well-rounded education that integrates both theoretical knowledge and practical applications.
The collaborations also guarantee that SSML’s curriculum remains aligned with global standards and frameworks, including Artificial General Intelligence (AGI) and MACUL’s Machine Learning and Computational Learning guidelines, ensuring that students are equipped with the highest academic rigor while staying relevant to the dynamic global AI landscape.
Graduate Outcomes:
Graduates of SSML are equipped with both technical expertise and industry experience to drive innovative AI solutions. The institution’s emphasis on real-world applications and ethical considerations prepares students to make significant contributions to the rapidly evolving AI sector. With globally recognized credentials and world-class learning experiences, SSML graduates are prepared to lead AI innovations in various industries and create transformative impacts.
Location
Hybrid Mode
Duration
24 Months
Intakes
January, April, June & September 2025
Tuition Fees
Rs 45,000/ -
The UG Certification in Generative AI for Cybersecurity is a 24 Months program designed to provide undergraduate students with the skills and knowledge needed to apply generative AI techniques in the field of cybersecurity. The program covers a wide range of topics, including AI-driven threat detection, predictive analytics, and automated defense systems, all tailored to strengthen cybersecurity practices. Students will begin with foundational concepts of AI and machine learning, followed by specialized training on applying generative models, such as GANs and VAEs, to detect vulnerabilities, prevent cyber attacks, and optimize security protocols.
The curriculum combines theoretical learning with hands-on projects, industry-specific case studies, and lab sessions, allowing students to work on real-world cybersecurity problems. A capstone project at the end of the program challenges students to integrate their knowledge and develop AI-driven cybersecurity solutions. With exposure to cutting-edge tools and technologies, along with an understanding of ethical considerations and privacy concerns in AI, students will be equipped to tackle the most pressing challenges in digital security.
In addition to the academic content, the program offers internship opportunities for practical experience and dedicated placement support, ensuring that graduates are well-prepared for careers in AI-enhanced cybersecurity roles. Through personalized mentorship and a limited batch size, the program ensures focused learning and skill development, preparing students for success in the evolving cybersecurity landscape.
Programme Structure and Electives
The UG Certification in Generative AI for Cybersecurity is a structured, career-focused program designed to equip undergraduate students with the advanced skills required to leverage generative AI technologies for enhancing cybersecurity measures. Spanning 12 months, the program combines in-depth academic training with hands-on experience to ensure students are well-prepared for roles in AI-driven cybersecurity. The first six months focus on foundational instruction in key areas such as AI-powered threat detection, anomaly detection, and integrating AI into cybersecurity workflows. Students will also explore techniques like AI-based predictive security measures and ethical considerations in AI-driven security applications, building a solid understanding of the role AI plays in modern cybersecurity. In the second phase, students will work on real-world projects, industry-specific case studies, and problem-solving exercises, applying their knowledge to tackle cybersecurity challenges using generative AI. The second phase also includes collaborative work, helping students refine their technical, analytical, and problem-solving skills in a professional setting. Upon successful completion, students will receive the Generative AI for Cybersecurity Certification, positioning them for career opportunities as AI Security Engineers, Cybersecurity Analysts, or AI-driven Threat Specialists, ready to contribute to the growing field of AI-enhanced cybersecurity.
Core Periods Modules
The UG Certification in Generative AI for Cybersecurity is a structured, career-focused program designed to equip undergraduate students with the advanced skills required to leverage generative AI technologies for enhancing cybersecurity measures. Spanning 12 months, the program combines in-depth academic training with hands-on experience to ensure students are well-prepared for roles in AI-driven cybersecurity. The first six months focus on foundational instruction in key areas such as AI-powered threat detection, anomaly detection, and integrating AI into cybersecurity workflows. Students will also explore techniques like AI-based predictive security measures and ethical considerations in AI-driven security applications, building a solid understanding of the role AI plays in modern cybersecurity. In the second phase, students will work on real-world projects, industry-specific case studies, and problem-solving exercises, applying their knowledge to tackle cybersecurity challenges using generative AI. The second phase also includes collaborative work, helping students refine their technical, analytical, and problem-solving skills in a professional setting. Upon successful completion, students will receive the Generative AI for Cybersecurity Certification, positioning them for career opportunities as AI Security Engineers, Cybersecurity Analysts, or AI-driven Threat Specialists, ready to contribute to the growing field of AI-enhanced cybersecurity.
- Period 0
Introduction to AI for Cybersecurity
Introduction to AI for Cybersecurity will provide you with a foundational understanding of AI and its pivotal role in cybersecurity. You will learn how AI enhances threat detection, incident response, and overall security protocols. The course explores machine learning algorithms and their applications in cybersecurity, focusing on anomaly detection to identify vulnerabilities and potential breaches.
- Period 1
Generative AI: Introduction and Applications
Generative AI: Introduction and Applications introduces the core concepts and technologies behind Generative AI, focusing on how machines can create new, original content such as text, images, audio, and video. You will learn about the underlying architectures, including deep learning models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders), which enable AI to generate data that mimics human creativity.
- Period 2
Generative AI: Boost Your Cybersecurity
Generative AI: Boost Your Cybersecurity explores how generative AI technologies can significantly enhance cybersecurity measures. The course covers the application of AI-driven solutions to detect and prevent cyber threats, identify anomalies, and automate security responses.
- Period 3
Integrating Gen Ai into Cybersecurity
Integrating Gen AI into Cybersecurity focuses on the process of incorporating generative AI technologies into existing cybersecurity frameworks to enhance threat detection, prevention, and response strategies.
- Period 4
Limitations and Ethical Issues of Generative AI
Limitations and Ethical Issues of Generative AI addresses the challenges and ethical concerns associated with the use of generative AI technologies. The course explores the limitations of AI models, including biases in data, lack of transparency in decision-making, and the potential for AI-generated content to be used maliciously.
- Period 5
Industry Work Experience (6 Months), 2 Electives
The continuation of the work experience allows participants to deepen their expertise and apply their learning in more complex business scenarios. With additional electives, participants refine their understanding.
Electives
Electives To further tailor your learning, TheSSML offers the following electives as part of the Executive Strategic AI for Business Leaders Programme. These electives will help you specialize in areas that align with your professional interests and career aspirations.
- Profile Building++
- Decision Sciences
- Entrepreneurship & Family Enterprise
- Responsible AI and Ethical Considerations
- AI-Driven Customer Experience
- Emerging AI Technologies and Trends
- AI in Product Development
- Building AI Products
Your Future Career at TheSSML
Professionals will be equipped with the strategic and technical expertise required to lead AI initiatives across industries. As AI continues to play an increasingly pivotal role in business transformation, participants will be well-positioned for career opportunities in top technology companies, consulting firms, and multinational corporations that are integrating AI into their core operations.
Furthermore, TheSSML provides comprehensive career support, including personalized coaching, exclusive networking opportunities, and access to premium job openings within its global network. Professionals will also be eligible for opportunities with the Ambaincip School of Business, where they can apply their AI expertise to lead and innovate in high-growth, business-driven environments.
Secure Your Job at Ambaincip School of Business After Completing UG Certification in GenAI for Cybersecurity at TheSSML
Upon successful completion of the Generative AI for Cybersecurity Professionals program at TheSSML, you will gain exclusive access to rewarding career opportunities at Ambaincip School of Business. This collaboration offers professionals a unique opportunity to apply AI-driven cybersecurity strategies and leadership skills within a fast-paced, security-focused business environment.
Ambaincip School of Business is dedicated to empowering graduates by placing them in influential roles where they can lead AI-driven cybersecurity transformations, shape defense strategies, and drive innovation in protecting digital assets. With the advanced skills and knowledge gained through this program, you will be well-equipped to assume senior roles in cybersecurity management, contribute to proactive defense systems, and lead AI-powered security initiatives that ensure the safety of organizations and their digital infrastructure.
Secure Your Job at Ambaincip School of Business
TheSSML: Your Gateway to Innovation
At TheSSML, we cultivate a culture of curiosity, creativity, and collaboration, empowering individuals to solve complex real-world problems and contribute meaningfully to the advancement of technology. Whether you are a student, professional, or researcher, TheSSML is your gateway to mastering the skills and insights needed to lead in the rapidly evolving world of artificial intelligence and machine learning.
Fees & Admissions
Entry Requirements
Company Experience
- A minimum of 1 years of experience at a company is required, particularly in roles where you have gained exposure to AI or technology-driven projects.
- Experience in driving strategic business initiatives, AI implementations, or related fields is highly valuable.
Academic Qualifications
- A strong honours degree or its equivalent from a recognised institution.
- A compelling personal statement that showcases
- A pronounced interest in business.
- Theambition to explore beyond the confines of their initial degree discipline.
- Anaptitude for working within a multidisciplinary environment
Tuition Fees
National Applicants: Rs 45,000/ -
International Applicants: $ 527.15
We offer a range of savings and funding options. For a full breakdown of all our fees, visit our fees and funding page below.
Our Application Process at TheSSML
At TheSSML, we have simplified the application process to ensure a smooth and efficient entry into our academic community. Our clear, step-by-step application process is designed to help you prepare and submit your application with ease.
For those who might not meet the aforementioned academic criteria for the Executive Programme, consideration will be based on individual merit. Additionally, candidates who do not meet the set academic or language standards may still be eligible for entry upon successful completion of TheSSML Executive Premasters Award.
How to ApplyTop-Tier Education at TheSSML
Double Your Reach
Gain exclusive access to TheSSML's extensive alumni network, alongside global connections, enhancing your professional prospects and career opportunities.
Accredited and Recognized
TheSSML is dedicated to providing high-quality education with internationally recognized certifications, ensuring that you gain a competitive edge in the global job market.
Post-Study Career Opportunities
International students at TheSSML may benefit from career development programs and assistance in securing job placements or internships, offering valuable industry experience after graduation.
Global Partnerships
TheSSML collaborates with leading industry players, including tech giants and global corporations, to provide students with access to cutting-edge technologies, real-world learning experiences, and exciting career prospects.
Learn From the Very Best at TheSSML
At TheSSML, you will be taught by distinguished faculty members who are leaders in their fields. Our professors bring a wealth of experience from renowned global institutions and top-tier companies such as Amazon, the United Nations, IBM, Deloitte, Accenture, and Microsoft. Their extensive industry knowledge and academic expertise will provide you with the insights and practical skills needed to thrive in the dynamic world of machine learning and AI.
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TheSSML Partners with AICTSD And MACUL
At The Standard School of Machine Learning (TheSSML), our programmes are enhanced through prestigious accreditations and partnerships with leading organizations such as MACUL (Michigan Association for Computer Users in Learning) and AICTSD (All India Council for Technical Skill Development). These collaborations ensure our courses meet global industry standards and incorporate cutting-edge advancements in artificial intelligence and machine learning. The partnership with MACUL brings a rigorous framework for curriculum quality and academic excellence, while AICTSD fosters skill development and practical exposure through workshops, certifications, and real-world projects. By aligning with these esteemed bodies, TheSSML guarantees that students receive industry-recognized training, preparing them for leadership roles in a rapidly evolving AI landscape.
TheSSML Alumni Survey
At TheSSML, we are dedicated to equipping our students with the knowledge and skills needed to launch successful careers in the AI and machine learning industries. Our alumni are well-prepared to make a meaningful impact in the professional world, with many securing positions at leading global companies.
Alumni Survey (2022)
91%
of ourgraduates secured employment within six months of graduation
84%
of students received job offers before completing their programme
72%
of our alumni hold managerial or senior positions in prominent organisations
79%
of our graduates earn a competitive salary ranging from ₹8 lakhs to ₹12 lakhs per annum