Mastering AI Security TTAI2820 Boot Camp

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mastering ai security boot camp certification

• System Administrators

• IT managers seeking AI understanding in the context of security

• Developers seeking to deepen their AI security knowledge

• Individuals in the role at the organization are responsible for system defense, threat detection, analysis, crafting incident response plans, and more

Overview Learning Objectives Who Should Attend Prerequisite Outline

Mastering AI Security Boot Camp Certification Training

The course is a proactive approach that facilitates the formulation of defense strategies in advance rather than reactive measures. You will learn about AI vulnerabilities and strategies for mitigation that can be applied later in the organization. Moreover, the course provides hands-on experience in mastering incident response planning for AI systems. The expert-led sessions are effective in demonstrating effective handling of security incidents that can significantly reduce the potential damage resulting from breaches. You can stimulate real-world scenarios based on the sessions that are generally encountered in the field.

You can design and analyze AI-driven threats upon identifying vulnerabilities in AI systems. The course lets you craft AI-drive intrusion detection systems and conduct a fundamental AI forensic analysis. The tools and skills are utilized in the course to tailor AI systems and incident response approaches to utilize skills like Python, Scikit-learn, and open-source threat intelligence platforms. Upon course completion, you will be able to implement robust AI defense mechanisms, improve your ability to predict and mitigate threats, understand the role of AI in Threat Intelligence, identify vulnerabilities in AI systems, use tools like OWASP Dependency checks, conduct forensic analysis, and finally avert the crisis situation at the organizations.

Objectives

Throughout this hands-on learning experience facilitated by our experts, you will achieve the following course objectives:

Manage AI threats and vulnerabilities effectively
Understand AI's role in cybersecurity for a strong foundation
Master incident response planning for AI systems
Design robust AI defense mechanisms and intrusion systems
Identify threats in the AI landscape efficiently
Learn techniques to detect and counteract deep fake threats
Hands-on experience with open-source tools like Python, Suricate IDS, and Scikit-learn.
Equip countermeasures as emerging threats in AI security
Create AI systems all the more efficient
Stay prepared for evolving threats in AI Security

Audience

This is an intermediate-level course tailored to the specific needs of professionals seeking to enhance their expertise in the AI Security landscape. Key roles that stand to gain significant benefits from the course include-

System Administrators
IT managers seeking AI understanding in the context of security
Developers seeking to deepen their AI security knowledge
Individuals in the role at the organization are responsible for system defense, threat detection, analysis, crafting incident response plans, and more

Prerequisites

To excel in the course, learners and professionals are encouraged to meet the following prerequisites-

A basic understanding of AI concepts, including applications, their types, and basic principles, is necessary.
Individuals must have a basic experience in data analysis and statistical concepts.
Basic learning experience with systems, computer networks, and how they interact is recommended.
Learners who have a foundational understanding of coding can benefit from the course.
A general understanding of the Python programming language is recommended.
Familiarity with basic cybersecurity principles that will broaden learner's understanding of incident response plans, threats, and defense mechanisms.

It is recommended that the learners have some practical skills aligned with the courses or should have taken the below courses as a prerequisite-

Introduction to Python - Python Programming Basics TTPS4800

Course Outline

Module 1. Introduction to AI in Security

Cybersecurity landscape: traditional threats vs. AI-enabled threats
The basics of AI and its relevance to security
Real-world examples of AI in security
Understand the role of AI in the field of cybersecurity and the evolution of threats.
Lab: Simulating AI-driven threat analysis using open-source threat intelligence tools
Understanding the Role of AI in Threat Intelligence

Module 2. Playing Detective: Identifying AI Threats and Vulnerabilities

Grasp the inherent threats and vulnerabilities of AI systems
Understanding the different types of AI threats
Lab: Identifying vulnerabilities in an AI system (2:30 - 4:00)
Learning about common AI vulnerabilities
AI and data privacy concerns
Exploring case studies of major AI-based security breaches
Tools Used in Lab: Python, Scikit-learn, OWASP Dependency-Check

Module 3. Building the AI Fortress: Defense Mechanisms 101

Gain knowledge on how to safeguard AI systems from security threats.
Importance of AI Security Measures
Learning about AI Defense Mechanisms
AI in intrusion detection and prevention systems • AI in risk assessment and vulnerability management
Lab: Designing a basic AI-driven Intrusion Detection System

Module 4. CSI Cyber: A Foray into AI Forensics

Understand how forensic techniques are applied in AI security.
Case studies of forensic analysis in AI security incidents
Lab: Conducting a simple forensic analysis on an AI system
AI in forensic data analysis
The role of forensics in AI Security
Basics of AI Forensic Analysis

Module 5. Crisis Averted: Crafting Your AI Incident Response Plan

Learn how to respond to incidents in AI systems effectively.
Designing an incident response plan for AI systems
Lab: Creating a mock incident response plan for an AI system
Basics of Incident Response (IR) in AI systems
AI in IR: Automated and adaptive response

Module 6. What's Next? Preparing for Future AI Security Challenges

The role of AI in zero-trust architectures
Get insights into the future trends of AI in cybersecurity.
AI in quantum computing security
Lab: Simulating the detection of a deep fake
AI-driven Security Orchestration, Automation, and Response (SOAR)
Future threats: Deepfakes, autonomous weapons, etc.

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24*7 leaner assistance and support

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FAQ’s

What is the course duration?

TTAI2810, Mastering Machine Learning Operations (MLOps) And AI Security Boot Camp, is a 03-day expert-led course by Vinsys.

What is the course code to access the Machine Learning Security course?

The course code through which it can be accessed is TTAI2820.

Why should I enroll in this course by Vinsys?

Enrolling in this course offers a comprehensive learning experience of AI and its critical role in cybersecurity. You will learn to design and implement robust AI defense mechanisms and IPS to safeguard systems. On top of that, you will get 24*7 support pre and post-course completion from Vinsys after you enroll in it.

Can a beginner enroll in this course?

This intermediate course is suitable for those seeking to deepen their understanding of AI techniques and secure their applications from potential threats to the systems. This includes those working majorly in the field of programming language, including Python Developers Developers, IT Security Professionals, Machine Learning Engineers, and more.

How will the course help me in my professional development?

Designed with experts, the course can unlock the potential of hands-on skills in operationalizing and securing machine learning workflows. The course directly applies to enhance professional machine learning capabilities. It covers future trends in AI Security, ensuring that you are well-prepared for upcoming developments in the field.

How is the course program carried out at Vinsys?

Our courses are delivered through instructor-led training (ILT), private group training, and virtual instructor-led training (vLIT). We boost your odds of success by helping you prepare for required exams and earn the certification. Effective course material accessed throughout the program makes learning about concepts beyond the class easier. You can choose your learning path to upskill with Vinsys' subject matter experts upon customizing training needs to ensure 100% results.

How will this course help the learners?

The course will help learners understand AI in Cybersecurity and learn to identify various types of AI threats and vulnerabilities. The robust AI defense mechanism and AI-driven intrusion system empower you to safeguard systems in your organization effectively.

Can learners interact with the instructors?

Yes, learners will have an opportunity to interact with the instructors till the time their confusion and queries are resolved. You can enjoy 24*7 support from Vinsys even after the course completion.

What are the job opportunities after TTAI2820?

There are various options to choose from, including Incident Responder, Threat Intelligence Analyst, AI Secure Analyst, Security Policy Analyst, AI Secure Researcher, and more, to investigate security incidents and analyze AI-driven threats.