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AI Vibe Coding for Java

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner to Intermediate
  • Assessment NA

Venue

Course Brochure

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI for Network Security

Course Code: C356
AI Vibe Coding Series

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What's This Course About

AI for Network Security equips you with practical skills to apply artificial intelligence to protecting an organisation's network. Attackers are already using automation and AI, and defenders face ever-growing volumes of alerts, logs and vulnerabilities; AI helps security teams detect threats earlier, prioritise risks and respond faster. The course is designed for network and system administrators, security analysts, IT managers and engineers who want to strengthen network defence with AI-assisted tools and techniques.

You will start with AI-assisted network threat and vulnerability analysis, using AI to analyse traffic patterns and logs, detect anomalies and suspicious behaviour, and interpret vulnerability scan results. Next you will cover AI-powered network risk assessment and management, prioritising vulnerabilities by likelihood and impact, mapping threats to frameworks such as MITRE ATT&CK, and recommending mitigations. You will then design and implement AI-enhanced network security, including segmentation, firewall and access policies, intrusion detection and automated monitoring workflows.

The final topic covers AI-assisted security incident documentation and response, using AI to triage alerts, summarise incidents, draft response playbooks and prepare clear reports for management. Throughout the course you will also learn the limitations and risks of AI in security, how to validate AI findings and how to protect sensitive data. Hands-on labs use realistic network scenarios. By the end, you will be able to apply AI confidently to monitor, assess and secure network environments.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.

Course Fee

₵3,000.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: AI-Assisted Network Threat and Vulnerability Analysis

Topic 2: AI-Powered Network Risk Assessment and Management Planning

Topic 3: Designing and Implementing AI-Enhanced Network Security Measures

Topic 4: AI-Assisted Security Incident Documentation and Response

Course Info

Prerequisite

Comfortable using a computer, installing applications and working with files. Basic programming concepts are recommended for application-development labs. Participants should be able to follow the English-language training materials.

Software Requirement

Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.

Also prepare the tools needed for the practical exercises:

Confirm the version, account permissions and any API usage budget with the trainer before class.

Hardware Requirement

Bring a Windows or Mac laptop supported by the listed software, with a working keyboard and sufficient storage for course exercises.

Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.

If you need help arranging a suitable device, contact us before the class to confirm availability.

Job Roles

Job Roles

  • IT Security Specialist
  • Network Administrator
  • Cybersecurity Analyst
  • Network Security Engineer
  • Risk Management Consultant
  • Systems Administrator
  • Penetration Tester
  • IT Infrastructure Specialist
  • Security Compliance Officer
  • Incident Response Analyst
  • Information Security Consultant
  • Cybersecurity Auditor
  • SOC (Security Operations Center) Analyst
  • Ethical Hacker
  • Technical Support Engineer
  • IT Project Manager (Cybersecurity)
  • Vulnerability Analyst
  • Wireless Network Engineer
  • Security Operations Specialist
  • Cloud Security Specialist

Trainers

Trainers

Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.

Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.

Object-oriented programming on the Java Virtual Machine is familiar ground for Dr. Alfred Ang, whose Android work is written in Kotlin, a language designed to run alongside Java and share its libraries. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses. Java itself is not the headline language of Dr. Ang's public portfolio, but the concepts this course teaches appear throughout it. Dr. Ang has shipped a long list of native Android apps built with Kotlin and Jetpack Compose, many of them live on Google Play: an HR client with leave, payslips, expenses and in-app approvals, a document scanner with on-device ML Kit OCR and PDF export, an offline Sudoku game that generates puzzles with guaranteed unique solutions, a GPS running tracker, a learning management companion for learners and trainers, and a children's learning app that includes a LibGDX escape room. Each relies on classes, interfaces, collections, generics and careful exception handling, the same building blocks Java developers use daily. Dr. Ang also builds the web and server side, from the course-registration platform behind the Tertiary Courses websites in Singapore, Malaysia and Ghana to Next.js business systems, working end to end across front end, back end, databases and cloud deployment. More than 300 public repositories on GitHub record this AI-assisted development work in detail.

AI Vibe Coding for Java channels that experience into a structured path from first program to working application. Dr. Ang introduces Java and the idea of vibe coding, then helps learners set up the JDK alongside AI coding assistants such as Cursor, GitHub Copilot and Claude. The first exercise has learners write and run a Java program directly from a prompt, followed by techniques for prompting precisely enough to get clean, idiomatic code. The second topic covers the fundamentals: variables, data types and operators, control flow, loops and methods, and working with arrays and strings, with the assistant used to explain code and help debug errors rather than simply hand over answers. The third topic is object-oriented Java, where learners design classes and objects with proper encapsulation, use inheritance and interfaces, organise data with collections and generics, and handle exceptions gracefully. Dr. Ang draws on Android development experience to show why these structures matter as programs grow. The final topic brings everything together: reading and writing files, building a console application, testing and improving code with AI, and compiling, packaging and running the finished project. Teaching is hands-on throughout, with each concept generated, run, read line by line and then modified by the learner, so that understanding keeps pace with the speed AI provides. Learners finish with a working Java application and the judgement to review AI-generated code critically. To see how Dr. Ang applies AI-assisted development across many native apps, visit https://github.com/alfredang

Review

Customer Reviews (10)

Practical and relevant Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 11/11/2025)
Great practical training Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 11/6/2025)
Well structured course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 9/18/2025)
Excellent course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 3/21/2025)
Superb training Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 9/22/2024)

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