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Training Camp's 5-day AICERTS AI+ Security Level 2 boot camp covers advanced AI security — adversarial attacks, model poisoning, and AI infrastructure defense — with a Exam voucher included.

#1 IT Bootcamp Company Worldwide

Pass Your AICERTS AI+ Security Level 1 Exam on the First Try

Official AICERTS AI+ Security Level 1 Boot Camp. Expert AI security training with machine learning, mobile app, exam voucher, free retake, and hands-on labs included. Train like your career depends on it.

Verified for 2026 AIS-L2 Exam
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Join 250,000+ certified alumni.
CISSP Professional

Free Retake

Exam Pass Guarantee

Official AICERTS

Authorized Training

Proven by 50,000+. Backed by our Free Retake Guarantee

Start Monday. Test Friday. No Waiting. No Risk.

5 intensive days designed for IT professionals who need results fast. Get certified in under a week with our pass guarantee.

Program Abstract

REF: AIS-L2 6
Curriculum aligned to the latest Exam Outline.
Format Live, Instructor-Led
Duration 5

The AI+ Security L2 is Hard. We Know How to Pass It.

This intensive 5-day boot camp program covers all domains of the AI+ Security L2 certification, teaching you proven strategies to pass on your first attempt. Our expert instructors guide you through the material with hands-on exercises and real-world scenarios. By Friday, you’ll be ready to test.

Authorized AICERTS Training.

Third-party materials can’t keep up with exam changes. We use AICERTS’s authorized courseware, so you’re studying exactly what’s on the test—not outdated guesswork.

System Integrity Check
Content Source AICERTS Official
Curriculum Ver. v2025.1
Instructor Auth. Verified
Exam Alignment 100% MATCH

Exam Fee Included.

$300 exam voucher included with your enrollment. No surprise costs, no last-minute purchases—just focus on passing.

Mobile Learning

Start Right Away

Unlock iOS/Android app immediately upon enrollment.

Authorized Material

Course from the Source

The only curriculum 100% aligned to the 2025 exam.

All-Inclusive

Exam Fee Included

We cover your $300 exam fee. No hidden costs.

Sim Engine

Exam Deja Vu

Practice with CAT-style questions. No surprises.

Insurance Policy

Pass Guarantee

Unlimited class returns if you need a second shot.

Flexible Schedule

Training Fits Your Life

Day, evening, online or in-person—your choice.

Test Center

Test While It's Fresh

Take your exam on-site within 7 days of class.

Expert Support

Never On Your Own

180 days of unlimited 1-on-1 coaching after class.

Test Right After Class. No Waiting.

You’ll take your AI CERTs exam online through remote proctoring, so there’s no waiting for a test-center appointment. You can test right after training while everything is still fresh, without delays or scheduling hassles.

Friday 5PM
Bootcamp Concludes - You leave with a personalized attack plan.
Class Ends
Unlimited 1-on-1
AI Gap Analysis - We identify your weak domains using our simulation engine.
Gap Analysis
Exam Day
Pass Guarantee Active - If you don't pass, your next seat is free.
Certified
·
Training materials including official courseware and study guides
Practitioner Led
Instructors are working security professionals, not just trainers.

"I don't teach from a textbook. I teach what happens in the SOC when the alert fires."

Jeff Porch

VP Ed. Services • CISSP, CISM CISSP: Certified Information Systems Security Professional. CISM: Certified Information Security Manager.

Choose Your Delivery Mode.

Same Curriculum
In-person classroom training session
A

In-Person

Immersive classroom experience with direct instructor access and peer collaboration.

  • Face-to-face instruction
  • On-site exam option
Student attending live online training
B

Live Online

Same instructors, same curriculum - learn from anywhere using our award-winning virtual learning platform.

  • Zero travel required
  • Interactive breakout rooms
COURSE STRUCTURE

AI+ Everyone™
Course Outline

A structured path designed for working professionals.
Each day builds on the last—momentum is everything.

Request Info

MODULE_ID: PREP

WEIGHT: 20% QS: ~5
BEFORE CLASS
Critical Path

Pre-Course Preparation

Review AI+ Security Level 1 core concepts including threat taxonomy and OWASP Top 10 for LLM
L.prep.1
Install and configure advanced offensive security tooling for the red team lab
L.prep.2
Set up the isolated red team lab environment with target AI systems
L.prep.3
Review the AI+ Security Level 2 (AT-2102) exam objectives and prerequisite knowledge
L.prep.4
Progress Buffer 20% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2102-01

WEIGHT: 20% QS: ~5
DAY ONE
Critical Path

Advanced AI Threats

Analyze deepfake generation techniques and their use in social engineering campaigns
L.01.1
Evaluate detection methods for synthetic media including audio, video, and text
L.01.2
Examine AI-generated malware that adapts to evade endpoint detection systems
L.01.3
Assess weaponized large language models used for phishing and code generation attacks
L.01.4
Lab: Detect deepfake content using forensic analysis tools and classifier models
L.01.5
Explore advanced evasion techniques that bypass traditional and AI-powered defenses
L.01.6
Analyze how AI accelerates zero-day vulnerability discovery through fuzzing and code analysis
L.01.7
Evaluate polymorphic and metamorphic AI-generated attack payloads
L.01.8
Design defense-in-depth strategies against AI-augmented attack chains
L.01.9
Lab: Use AI-assisted fuzzing to discover vulnerabilities in a sample application
L.01.10
Progress Buffer 20% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2102-02

WEIGHT: 40% QS: ~6
DAY TWO
Critical Path

MLSecOps

Design secure ML pipelines with integrity checks at each stage of the workflow
L.02.1
Implement CI/CD security gates for model training, validation, and deployment
L.02.2
Apply version control and reproducibility practices for datasets and model artifacts
L.02.3
Configure automated security scanning for ML notebooks and training scripts
L.02.4
Lab: Build a secure ML pipeline with automated vulnerability scanning and approval gates
L.02.5
Assess supply chain risks in ML frameworks, pre-trained models, and third-party datasets
L.02.6
Generate and manage Software Bills of Materials (SBOMs) for AI/ML applications
L.02.7
Evaluate model provenance tools for tracking lineage from training data to deployment
L.02.8
Implement dependency scanning and pinning strategies for ML library ecosystems
L.02.9
Lab: Create an SBOM for an ML project and identify vulnerable dependencies
L.02.10
Progress Buffer 40% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2102-03

WEIGHT: 40% QS: ~6
DAY THREE
Critical Path

Red Teaming AI Systems

Define the scope and rules of engagement for AI-specific red team assessments
L.03.1
Apply structured adversarial testing methodologies including MITRE ATLAS and NIST guidance
L.03.2
Develop threat models specific to LLMs, computer vision, and recommendation systems
L.03.3
Document findings using standardized AI vulnerability classification and scoring
L.03.4
Lab: Conduct a structured red team assessment of a deployed chatbot application
L.03.5
Deploy automated adversarial testing tools including Microsoft Counterfit and ART
L.03.6
Build custom attack scripts for prompt injection, jailbreaking, and data extraction
L.03.7
Integrate adversarial testing into continuous security validation pipelines
L.03.8
Measure attack success rates and model robustness using quantitative metrics
L.03.9
Lab: Automate a multi-vector attack campaign against a target AI system
L.03.10
Progress Buffer 40% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2102-04

WEIGHT: 60% QS: ~7
DAY FOUR
Critical Path

AI Security Architecture

Apply zero trust architecture principles to AI model serving and data pipelines
L.04.1
Design micro-segmentation strategies for isolating AI workloads from general infrastructure
L.04.2
Implement mutual TLS and token-based authentication for model API communications
L.04.3
Configure secure model registries with signing and verification workflows
L.04.4
Lab: Deploy a model-serving environment with zero trust network policies
L.04.5
Design sandboxing and isolation patterns for untrusted model execution environments
L.04.6
Implement confidential computing techniques for protecting models during inference
L.04.7
Configure hardware-based security enclaves for sensitive AI workloads
L.04.8
Build layered defenses combining network, application, and model-level security controls
L.04.9
Lab: Architect a defense-in-depth deployment for a multi-model AI application
L.04.10
Progress Buffer 60% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2102-05

WEIGHT: 60% QS: ~7
DAY FIVE
Critical Path

Incident Response & Exam Prep

Develop AI-specific incident response playbooks covering model compromise and data exfiltration
L.05.1
Apply forensic techniques to investigate adversarial attacks on ML models
L.05.2
Design containment strategies for compromised AI systems without disrupting business operations
L.05.3
Build evidence collection procedures for AI-related security incidents
L.05.4
Lab: Execute an AI incident response scenario from detection through recovery
L.05.5
Review all AI+ Security Level 2 (AT-2102) exam domains and their weightings
L.05.6
Work through advanced practice questions covering red teaming, MLSecOps, and architecture
L.05.7
Analyze complex scenario-based questions requiring multi-domain knowledge integration
L.05.8
Complete a timed mini practice exam under realistic test conditions
L.05.9
Review answers as a group and solidify understanding of advanced AI security concepts
L.05.10
Progress Buffer 60% ALLOCATED
09:00
End 17:00
COURSE PROGRESS Day 0 of 5
FREQUENTLY ASKED QUESTIONS

AI+ Security Level 1
Boot Camp FAQ

Real questions from real professionals who passed.
Here's how we answer them.

AI+ Security Level 1™ (AT-2101) is an entry-level certification that validates your ability to identify, mitigate, and prevent AI-related security threats, covering essential AI safety practices and compliance standards.

This course is ideal for IT professionals, cybersecurity beginners, AI developers, and compliance officers who want to understand foundational AI security principles and threat prevention.

You’ll learn how to detect AI vulnerabilities, secure AI models against attacks, apply ethical AI guidelines, and integrate AI security into business or technical workflows.

Yes. You’ll take a proctored exam that tests your knowledge of AI threat types, risk mitigation strategies, and AI security best practices.

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AIC-AT2102 Exam Guide

  • Expert strategies to spot trick questions
  • Question patterns examiners actually use
  • Proven pacing + pressure management tactics
Articles and Certification Resources

AI+ Security Level 2 Study Tools
& Resources

Expert insights to guide your certification journey.
Real strategies from professionals who passed.

Student Success Stories

What Our Students Say

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These labs are the real deal! This is how I got my CCNA

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Training Camp was great, really went above and beyond to support my CISA learning and development.

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This exam frightens me to the point of not wanting to sit through it again. I will report that the Training Camp bootcamp was far better than any other I’...

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Training Camp absolutely nailed the teaching method for passing the certification exam.

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Training Camp is an incredible organization with dedicated professional instructors who ensure the class is engaged in the learning experience. The venue is perf...

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