Cyber Security Expert
Defend Every Layer –
Next Cohort
Course Duration
240 Hrs
Course Overview
This intensive, project-based program is designed to equip learners with in-demand full-stack development skills along with AI-enhanced workflows for modern software engineering. It integrates foundational and advanced concepts in front-end and back-end development, databases, DevOps, and container orchestration, while introducing AI tools to streamline design, coding, and deployment.
Key Features
- To provide a strong foundation in AI/ML with a focus on generative models.
- To enable learners to create AI-powered applications in code.
- To prepare students for practical industry use cases and certifications (e.g., AWS, Google Cloud AI).
- To explore the ethical dimensions of AI and responsible AI development.
Skills Covered
- AI and ML Fundamentals
- Python for Data Science
- Building Generative Models (GANs, VAEs)
- Creating AI applications in NLP, vision, audio
- Model evaluation and fine-tuning
- Responsible and ethical AI development
Course Curriculum
Cyber Security Expert
Module 1 - Information Security Foundations
- CIA triad The cornerstone of cybersecurity—Confidentiality, Integrity, and Availability—ensuring data is protected, accurate, and accessible to authorized users.
- Threat landscape Explore the evolving range of cyber threats, including phishing, ransomware, insider threats, and APTs (Advanced Persistent Threats).
- Malware types Understand different malicious software types like viruses, worms, trojans, spyware, and ransomware, and how they affect systems.
- Security policies Learn how organizations define rules and procedures for cybersecurity, covering acceptable use, password policies, and incident response.
- Responsive Design Design web applications that adapt seamlessly across screen sizes and devices using flexible layouts and media queries.
- Tailwind (optional) Use Tailwind CSS, a utility-first framework, to rapidly build modern, responsive, and customizable UIs with minimal custom CSS.
Module 2 - Network Security & Firewalls
- Firewalls Hardware or software systems that monitor and control incoming and outgoing network traffic based on pre-defined security rules to block unauthorized access.
- IDS/IPS (Intrusion Detection/Prevention Systems) Tools that detect (IDS) and actively prevent (IPS) malicious traffic, unauthorized access, or anomalous behavior within a network.
- VPNs(Virtual Private Networks) Secure tunnels that encrypt your internet connection, protecting data transmission and enabling private remote access to internal networks.
- Port scanning Technique used to discover open ports and services on a system, often used by network admins for assessment or attackers for exploitation.
- Vulnerability scanning (Nmap, Nessus) Automated tools like Nmap and Nessus help identify weaknesses or outdated software across systems to proactively secure the network.
Module 3 - System & OS Security
- Hardening Linux & Windows Apply best practices and security controls to minimize vulnerabilities in both Linux and Windows systems by disabling unused services and enforcing policies.
- Patching Regularly update systems with security patches and software fixes to close known vulnerabilities and prevent exploit attacks.
- Permissions Enforce access control using proper user/group permissions to restrict unauthorized actions on critical files and directories.
- Secure configurations Establish and maintain secure baseline settings for system components, including firewall rules, registry settings, and system services.
Module 4 - Ethical Hacking & Pen Testing
- Phases of hacking Understand the ethical hacking lifecycle: Reconnaissance, Scanning, Gaining Access, Maintaining Access, and Covering Tracks — aligned with CEH standards.
- Reconnaissance The information-gathering phase where hackers identify targets, open ports, services, and potential vulnerabilities before launching an attack.
- Exploitation Leverage identified vulnerabilities to gain unauthorized access or execute payloads — ethically done to test system security.
- Tools like Metasploit, Wireshark, Offensive Python Use industry-standard tools for penetration testing, network sniffing, and writing custom attack/defense scripts with Python for ethical hacking scenarios.
Module 5 - Security Operations & SIEM
- Incident response Learn how to detect, investigate, contain, and recover from cybersecurity incidents through structured response plans and playbooks.
- SOC operations Understand the daily functioning of a Security Operations Center — including monitoring, threat triage, and escalation processes handled by analysts.
- SIEM tools (Splunk, ELK, etc.) Gain hands-on experience with Security Information and Event Management tools like Splunk and ELK Stack to analyze logs, detect threats, and automate alerts.
Module 6 - Cloud Security
- Identity & Access Mgmt (IAM) Control who can access cloud resources and what actions they can perform using role-based access, MFA, and fine-grained permissions.
- Cloud-specific threats Understand risks unique to cloud environments such as misconfigurations, insecure APIs, and data exposure in multi-tenant setups.
- Shared responsibility model Learn how cloud security is divided between the provider and the customer — with clearly defined roles for data, infrastructure, and application safety.
- Secure cloud design (AWS/Azure) Build and audit secure architectures on platforms like AWS and Azure using encryption, VPCs, IAM roles, logging, and network security best practices.
- CIA triad
- Threat landscape
- Malware types
- Security policies
- Responsive Design
- Tailwind (optional)
- Firewalls
- IDS/IPS
- VPNs
- Port scanning
- Vulnerability scanning (Nmap, Nessus)
- Hardening Linux & Windows
- Patching
- Permissions
- Secure configurations
- Phases of hacking
- Reconnaissance
- Exploitation
- Tools like Metasploit, Wireshark, Offensive Python
- Incident response
- SOC operations
- SIEM tools (Splunk, ELK, etc.)
- Identity & Access Mgmt (IAM)
- Cloud-specific threats
- Shared responsibility model
- Secure cloud design (AWS/Azure)
Salary Scale
Maximum
35 LPA
Average
15 LPA
Minimum
10 LPA
Job Role
- Generative AI Engineer
- Machine Learning Engineer
- Prompt Engineer
- Conversational AI Developer / Chatbot Developer
- AI Application Developer
- RAG Developer (Retrieval-Augmented Generation)
Course Certificate
Eligible Criteria
- B.E/B.Tech in ECE, EEE, Instrumentation (Final Year or Recent Graduates)
-
Possess good English communication skills
Tools & Technologies
Training Options
Online
Training
₹
24,000
Including GST*
-
24/7 LMS Access
-
Live Online Session
-
On-Campus Immersion
Classroom
Training
₹
48,000
Including GST*
-
24/7 LMS Access​
-
Peer Learning & Support
-
Career Guidance & Mentorship
Why Join this Program
Boost Your Productivity
Learn to automate coding tasks and generate code efficiently using cutting-edge AI tools.
Future-Proof Your Career
Gain in-demand skills in generative AI models sought by top tech companies.
Innovation and Creativity
The program equips you with skills to create innovative applications by leveraging generative AI in various domains such as image, audio, and text generation.
Stay Ahead of the Curve
Joining this program keeps you updated on generative AI, boosting your skills and competitiveness.
FAQ
While basic Python knowledge is helpful, the course is designed to teach most tools during the program, making it accessible even to those with limited coding experience.
Yes, participants will receive a certification upon successfully completing the course.
The course duration is structured to fit into a flexible learning schedule, allowing learners to progress at their own pace.
The course includes a combination of live sessions and self-paced learning materials to provide a comprehensive learning experience.
Learners have access to a support system that includes mentorship, discussion forums, and technical assistance to help with any queries or challenges faced during the course.
Completing the course opens up opportunities in various roles such as Generative AI Engineer, Machine Learning Engineer, Prompt Engineer, and AI Application Developer, among others.