Cybersecurity training course provides comprehensive training in protecting networks, systems, and data from cyber threats. Students will learn key concepts, industry best practices, and practical tools for securing digital environments. The course covers topics ranging from network security to ethical hacking, preparing students for real-world cybersecurity challenges. Upon completion, students will be equipped to pursue various cybersecurity certifications and roles in the industry.
Training Curriculum:
Module
Topics Covered
Learning Objectives
Introduction to Cybersecurity
Cybersecurity fundamentals, types of threats, security principles, and an overview of the cybersecurity landscape.
Understand basic cybersecurity concepts, types of cyber threats, and the importance of security in the digital world.
Network Security
Firewalls, VPNs, Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS), network segmentation.
Learn to secure networks using firewalls, VPNs, and other technologies to prevent unauthorized access.
Cryptography
Symmetric vs. asymmetric encryption, hashing algorithms, SSL/TLS, Public Key Infrastructure (PKI).
Understand the principles of cryptography and its role in securing communication and data.
Operating System Security
Securing Windows, Linux, and macOS systems, access control, patch management, system hardening.
Learn to secure various operating systems and apply best practices for system hardening and vulnerability management.
Web Application Security
OWASP Top 10, SQL injection, Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), and secure coding.
Explore common web application vulnerabilities and learn techniques to secure web applications.
Learn how to defend against sophisticated cyberattacks such as APTs and mitigate emerging threats.
Security Automation
Automating security tasks with scripting, using SIEM tools, Security Orchestration, Automation and Response (SOAR).
Understand how to automate security workflows and use SIEM tools to improve response times and threat detection.
Cybersecurity Compliance and Laws
Cybersecurity laws, regulations, compliance frameworks, and data protection laws.
Learn about global cybersecurity laws and compliance standards such as GDPR, HIPAA, and CCPA.
Capstone Project and Final Assessment
Hands-on project: Developing and securing a network, penetration testing, and incident response.
Apply all learned concepts in a real-world scenario, demonstrate technical skills, and prepare for a career in cybersecurity.
Certification Preparation
Preparation for industry certifications like CompTIA Security+, Certified Ethical Hacker (CEH), CISSP, etc.
Prepare for industry-recognized cybersecurity certifications to advance in your career.
Career Guidance
Career advice, resume and portfolio building, interview prep, and networking in cybersecurity.
Prepare for a career in cybersecurity, including resume writing, job searching, and interview preparation.
Additional Info:
Training Component
Description
Live Classes
Our classes are conducted live with instructors, not pre-recorded sessions.
Labs & Hands-on Practice
Each week includes hands-on labs and simulations to reinforce theoretical concepts, giving students practical experience with cybersecurity tools, penetration testing, and defense mechanisms.
Assessment
Weekly assessments to evaluate participants’ progress, test their understanding of key cybersecurity concepts, and identify areas for improvement.
Access to Learning Resources
In the final week, participants will complete a hands-on project, deploying and securing a network, conducting penetration testing, and responding to a simulated cyber incident. This capstone project will demonstrate their cybersecurity skills.
Cybersecurity Certifications
Comprehensive preparation for industry-recognized certifications (CompTIA Security+, Certified Ethical Hacker (CEH), CISSP), with practice exams, review sessions, and exam strategy guidance.
Final Project
In the final week, participants will complete a hands-on project, deploying and securing a network, conducting penetration testing, and responding to a simulated cyber incident.
Training Schedule
Duration
3 Months
Select Mode of Study
Fully Online – (Thursday to Saturday) Hybrid – (Wednesday Online and Saturday Physical Class). – This Option is Not Available Outside Nigeria.
No prior experience is required since we deliver training from the ground up.
Course Fee
Total Fee: N250,000. The First Instalment is N150,000. The second instalment is due 40 days after your start date. For Foreign Based applicants the fee is £200/$250 (no instalment option).
Some Available Certifications
Our Students Work At Leading Organizations
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What Our Trainees are Saying
I would absolutely recommend Datalab to anyone looking to kick start their career in data science. They have a concise curriculum that allows swift understanding of Data tools and concepts, not to mention they have a talented staff body keen on helping you understand it.
Daisi Feyisayo, Student
Five stars signify top notch, highest pinnacle of success. That's how I can summarily describe DataLab Nigeria. The instructors are very good, friendly, and patient with their interns. Complacency stifles progress. Progress never ends. DataLab Nigeria continues to make progress. More power to your elbow.
Inuwa Yusuf, Student
The past three months with DataLab have been so amazing. The tutors are passionate in regards, imparting knowledge to their students. The classes were also really interactive. I would highly recommend the program to anyone looking to start a career in Data Science.
Chibuzor StellaMaris, Student
I recently completed a three month internship program with Datalab at their Abuja office. They are very resourceful, and broad in their training. We cover different courses including Python , R, Sql and Tableau.
What I like about them is their thrive for inclusion. They tried much to carry everyone along even with my tight schedule. I highly recommend Datalab Nigeria for Training in Data Science.
Etiese James, Student
Data analytics has never been taught any better than at Datalab. Datalab has well-experienced instructors with great pedagogy skills, sufficient data set to work on, and all interactive and practical sessions make learning seamless.