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Training Camp's 5-day AICERTS AI+ Security Level 1 boot camp covers AI security fundamentals, threat modeling for AI systems, and secure AI deployment with a 94% pass rate. 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 with a 94% pass rate. 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-L1 Exam
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Student
Student
Student
Join 250,000+ certified alumni.
CISSP Professional

94%

AIC-AT2101 Pass Rate

Official AICERTS

Authorized Training

Proven by 50,000+. Perfected to 94%

Start Monday. Test Friday. No Waiting.
Onsite Testing Center Onsite Testing Center - Take your exam at our Pearson VUE facility immediately after class.
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-L1 6
Curriculum aligned to the latest Exam Outline.
Format Live, Instructor-Led
Duration 5

The AI+ Security L1 is Hard. We Know How to Pass It.

This intensive 5-day boot camp program covers all domains of the AI+ Security L1 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 We use AICERTS’s authorized courseware, so you’re studying exactly what’s on the test—not outdated guesswork.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.

$200 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 $200 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 will 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 core cybersecurity principles including CIA triad, authentication, and access control
L.prep.1
Complete the hands-on lab environment setup and verify tool access
L.prep.2
Take the pre-course self-assessment to identify your knowledge gaps
L.prep.3
Review the AI+ Security Level 1 (AT-2101) exam objectives and study guide
L.prep.4
Progress Buffer 20% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2101-01

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

AI Security Foundations

Explore the AI security threat taxonomy and how it differs from traditional cybersecurity
L.01.1
Map attack surfaces across the AI/ML lifecycle from data collection to deployment
L.01.2
Examine real-world AI security breaches and their root causes
L.01.3
Classify AI-specific threats including data poisoning, model theft, and prompt injection
L.01.4
Identify the unique trust boundaries in AI-powered applications
L.01.5
Walk through each of the OWASP Top 10 risks for large language model applications
L.01.6
Analyze prompt injection attacks and strategies for input validation
L.01.7
Evaluate insecure output handling and data leakage vulnerabilities
L.01.8
Assess overreliance risks and build mitigation strategies for AI hallucinations
L.01.9
Lab: Identify and classify vulnerabilities in a sample LLM-powered application
L.01.10
Progress Buffer 20% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2101-02

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

Data Security for AI

Understand data poisoning techniques including label flipping, backdoor insertion, and clean-label attacks
L.02.1
Examine how corrupted training data propagates bias and undermines model accuracy
L.02.2
Implement data validation pipelines to detect anomalous or tampered datasets
L.02.3
Evaluate provenance tracking tools for ensuring training data integrity
L.02.4
Lab: Detect and mitigate a data poisoning attack on a sample classifier
L.02.5
Explore membership inference, model inversion, and attribute inference attacks
L.02.6
Apply differential privacy techniques to protect individual records in training data
L.02.7
Implement data anonymization and pseudonymization strategies for ML workflows
L.02.8
Evaluate federated learning as a privacy-preserving approach to model training
L.02.9
Lab: Perform a membership inference attack and apply countermeasures
L.02.10
Progress Buffer 40% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2101-03

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

Model Security

Understand adversarial example generation using FGSM, PGD, and C&W attack methods
L.03.1
Analyze evasion attacks that cause misclassification at inference time
L.03.2
Implement adversarial training as a defense against perturbation-based attacks
L.03.3
Evaluate input preprocessing and certified defenses for robustness guarantees
L.03.4
Lab: Craft adversarial examples against an image classifier and test defenses
L.03.5
Explore model extraction attacks using query-based and side-channel techniques
L.03.6
Implement watermarking and fingerprinting strategies to detect model theft
L.03.7
Identify trojan and backdoor attacks that activate on specific trigger inputs
L.03.8
Apply neural cleanse and pruning techniques for backdoor detection and removal
L.03.9
Lab: Detect a backdoor in a pre-trained model and apply remediation techniques
L.03.10
Progress Buffer 40% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2101-04

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

AI Infrastructure Security

Apply container and orchestration security best practices for AI model serving
L.04.1
Harden model inference APIs with rate limiting, authentication, and input validation
L.04.2
Implement secure model serialization to prevent deserialization attacks
L.04.3
Configure network segmentation and access controls for AI training environments
L.04.4
Lab: Secure a containerized model-serving endpoint against common attack vectors
L.04.5
Design logging and monitoring strategies tailored to AI/ML workloads
L.04.6
Detect model drift, data drift, and adversarial probing through behavioral analytics
L.04.7
Configure alerting thresholds for anomalous inference patterns and query volumes
L.04.8
Implement canary deployments and rollback procedures for model updates
L.04.9
Lab: Set up a monitoring dashboard to detect adversarial queries in real time
L.04.10
Progress Buffer 60% ALLOCATED
09:00
End 17:00

MODULE_ID: AIC-AT2101-05

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

Governance, Compliance & Exam Prep

Walk through the NIST AI Risk Management Framework and its four core functions
L.05.1
Map AI security controls to governance, risk, and compliance requirements
L.05.2
Evaluate responsible AI principles including fairness, transparency, and accountability
L.05.3
Design an AI ethics review process for your organization
L.05.4
Assess bias detection tools and mitigation strategies for production models
L.05.5
Review all AI+ Security Level 1 (AT-2101) exam domains and their weightings
L.05.6
Work through practice questions covering AI threats, data security, and model defense
L.05.7
Identify common exam pitfalls and strategies for scenario-based questions
L.05.8
Complete a timed mini practice exam under realistic test conditions
L.05.9
Review answers as a group and clarify remaining knowledge gaps before exam day
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-AT2101 Exam Guide

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  • Question patterns examiners actually use
  • Proven pacing + pressure management tactics
Articles and Certification Resources

AI+ Security Level 1 Study Tools
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Expert insights to guide your certification journey.
Real strategies from professionals who passed.

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