Python, scikit-learn, model evaluation, responsible AI and a capstone you can demo — structured for Malaysian teams moving from spreadsheets to production-minded ML literacy in five intensive days.
Certified Ethical Hacker V13 course overview and outcomes.
The Certified Ethical Hacker (CEH) Course offered by Nexperts Academy is a comprehensive cyber network security course designed to equip professionals with the skills and knowledge necessary to identify and prevent potential security threats. This certified ethical hacker CEH training course covers a wide range of topics, including network security, system security, cryptography, and ethical hacking methodologies, ensuring a well-rounded foundation in cyber security.
Participants gain practical hands-on experience through EC-Council iLabs, with real-world cyber-attack scenarios and countermeasures. The course is available in classroom and online delivery, so you can choose the learning mode that best fits your schedule.
On completion, participants receive a certificate of completion from Nexperts Academy and become eligible to sit for the CEH certification exam from EC-Council. If a participant does not pass on the first attempt, Nexperts Academy provides a free exam retake and exam preparation support.
Course Outcomes
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Ethical hacking concepts and tools
Understand core methodologies and practical tooling used by modern ethical hackers.
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Network scanning and vulnerability analysis
Perform scanning, identify weaknesses, and recommend remediation paths.
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Web and server security testing
Identify and address common vulnerabilities in web servers and applications.
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Cloud, mobile, wireless, IoT/OT security
Apply hacking and defense techniques across modern technology environments.
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Cryptography fundamentals
Understand encryption concepts, practical tools, and attack countermeasures.
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Exam readiness
Prepare for the CEHv13 exam with guided prep and practice assessments.
Course Curriculum
20 domains. Every attack vector.
CEH v13 covers the complete ethical hacking methodology — from footprinting through to AI-powered attacks. Every module is taught in sequence because that's how real attacks unfold. Click any module to see the topics covered.
GPU-Ready Labs
Sandboxed. Reviewed.
Labs run on managed notebooks — no local CUDA setup required on day one.
01
Baseline sprint
Ship first model in 90 minutes.
ML
02
Feature store mindset
Reproducible transforms.
Data
03
Ensemble bake-off
Pick winner with evidence.
Models
04
Threshold workshop
Align metrics to business cost.
Story
05
Capstone defense
10-minute live demo.
Demo
+ Mentor feedback on Git commit hygiene and README quality.
Assessment
Capstone defense. Hiring-ready artefact.
Passing requires reproducible notebook, metric justification and live Q&A.
Capstone rubric
NotebookRuns end-to-end without manual hacks
MetricsAppropriate for stated business goal
NarrativeClear storyline for non-technical sponsor
PassingMeets rubric
ResitOne coached revision week
Our 3-Mock Exam Programme
01
Metric drill
Pick KPI before algorithm.
02
Dry-run demo
Peer critique.
03
Executive Q&A
Stress questions.
0%
Pass Rate
92% complete capstone first attempt.
We enforce reproducibility — the difference between a notebook demo and a production candidate.
scikit-learnCapstoneResponsible AI92% passMentors
Why our pass rate is 92%
Video-only courses
No reviewed artefact.
Nexperts
Defended capstone + mentor sign-off.
Your AI path
Stack with cloud AI certs.
Continue with AI-102, DP-100 or AWS MLS depending on your platform strategy.
