Vanguard Data Services, UK — Official Indian Partner Portal

MASTER ARTIFICIAL INTELLIGENCE & TECH SKILLS.

Expert-led courses designed for the exact skills global AI companies are hiring for right now. Build real-world projects, earn UK-recognized certifications, and fast-track your career.

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Featured Programs

Two Courses. Infinite Opportunity.

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AI & Machine Learning4.8 (0 students)

AWS COURSE

AWS COURSE

Instructor: AXN Certified MentorLevel: Beginner
Course Fee2500
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AI & Machine Learning4.8 (0 students)

AI Cybersecurity

AI Cybersecurity

Instructor: AXN Certified MentorLevel: Beginner
Course Fee999
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AI & Machine Learning4.8 (0 students)

Software Development

Software Development

Instructor: AXN Certified MentorLevel: Beginner
Course Fee2500
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AI & Machine Learning5 (0 students)

AI Cybersecurity

An AI Cybersecurity course explores the intersection of artificial intelligence and information security. It usually focuses on two complementary perspectives: using AI to defend systems (AI for Cybersecurity) and securing AI models against threats (Security of AI). Key Modules & Core Topics: 1. Defending Systems with AI (AI for Cybersecurity)Automated Threat Detection: Leveraging Machine Learning (ML) to identify anomalies, zero-day vulnerabilities, and malicious traffic patterns in real time. Phishing & Malware Analysis: Training models to detect automated spam, social engineering attacks, and backdoored code. Incident Response & Automation: Using GenAI or security bots to automate alert triage, generate incident reports, and accelerate response workflows. Behavioral Biometrics: Employing ML to track user behavior, enabling continuous authentication and zero-trust access. 2. Securing AI Infrastructure (Security of AI)Adversarial Machine Learning: Defending models against prompt injections, adversarial noise, and jailbreaks. Data & Model Protection: Preventing model stealing, data leakage, model poisoning, and dataset manipulation. Red Teaming & Auditing: Simulating attack vectors on Large Language Models (LLMs) and ML pipelines to expose vulnerabilities before deployment. Governance & Responsible AI: Implementing privacy controls (like differential privacy), bias mitigation, and regulatory compliance frameworks. Target AudienceCybersecurity Professionals & Analysts: Looking to upgrade their toolkit with AI-driven threat response.Developers & Data Scientists: Seeking to build resilient, attack-proof ML models and pipelines.IT Leaders & Security Engineers: Working on secure enterprise AI adoption

Instructor: Alex JohnLevel: Advanced
Course Fee2500
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Proven Track Record

Real Students. Real Results.

Read how AXN Corp curriculum helped students land tech jobs and hackathon victories across India.

"AXN Corp's Agentic AI course helped me crack my Google internship interview. The projects were real-world and the mentors were incredibly supportive."

Aditya Kumar

IIT Delhi, B.Tech CSE

"I enrolled in the Data Annotation course during my 2nd year. Within 6 months, I got placed at TCS Digital with a 7 LPA package. Worth every rupee!"

Sneha Reddy

BITS Pilani, 3rd Year

"Started Python at Class 11. By Class 12, I had built 3 full-stack apps and won a national hackathon. AXN Corp changed my tech journey."

Rohan Patel

Class 12, Ahmedabad

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