AI Security Engineer Fundamentals: AI Cybersecurity Basics!!

Name: AI Security Engineer Fundamentals: AI Cybersecurity Basics!!
Rating: 4.5 (8 reviews)

Learn core concepts risks threats and governance of securing AI systems across their lifecycle no labs or configuration!

Created byMana Dowlatshahi Yeganeh

Last updated 6/2026

English

What you'll learn

AI Security Engineer
Fundamentals
AI Cybersecurity Basics!!
Learn core concepts risks threats and governance of securing AI systems across their lifecycle no labs or configuration!

Course content

2 sections • 112 lectures • 11h 5m total length

01 Introduction to AI Security Engineering10:33
02 AI and Machine Learning System Fundamentals10:07
03 AI Threat Landscape and Risk Categories10:48
04 Data Risks and Security Challenges in AI Systems10:28
05 Model Level Security Risks and Vulnerabilities in AI Systems10:59
06 Adversarial AI Concepts and Defensive Principles10:16
07 AI System Architecture and Attack Surfaces10:33
08 Secure AI Development Lifecycle Principles Ensuring Trustworthy AI Systems10:31
09 AI Supply Chain and Dependency Risks Unseen Threats in Modern AI Systems10:25
10 Monitoring Incident Awareness and Risk Response in AI Systems10:40
11 AI Security Governance Ethics and Compliance Foundations10:21

01 Digital Detectives Unmasking the Truth in the Digital Realm5:22
02 Digital Forensics Unmasking the Digital Crime Scene5:13
03 Unmasking the Digital Shadows5:27
04 Unmasking the Digital Ghost A Journey Through Computer Hacking Forensics5:26
05 The Unbroken Link Chain of Custody in Digital Forensics5:38
06 Unmasking the Digital Trail eDiscovery in the Age of Cyber Forensics5:40
07 Forensic Readiness Your Digital Defense Against Hackers5:30
08 Navigating the Digital Frontier5:29
09 Navigating the Digital Frontier Standards in Computer Hacking and Forensics5:40
10 The Digital Detective5:43
11 The Digital Forensics Process Unraveling Cyber Incidents5:35
12 Unmasking the Digital Ghost5:20
13 The Digital Battlefield Navigating the Incident Response Lifecycle5:35
14 The Digital Evidence Gauntlet5:21
15 Unmasking the Digital Ghost5:24
16 FAT File System Analysis Uncovering Digital Evidence5:35
17 NTFS Forensics Unmasking Digital Footprints in the NTFS Labyrinth5:23
18 Unearthing Digital Evidence A Deep Dive into EXT File System Forensics5:26
19 Unlocking HFS A Digital Forensics Deep Dive5:35
20 Disk Structure Forensics Unmasking MBR and GPT5:40
21 File Carving Unearthing Digital Evidence5:18
22 Slack Space The Hidden Evidence in Digital Forensics5:26
23 The Ghost in the Machine Recovering Deleted Files in Digital Forensics4:54
24 Disk Imaging The Foundation of Digital Forensics5:48
25 Bit by Bit Acquisition The Foundation of Digital Forensics5:27
26 Live Acquisition Capturing the Moment in Digital Forensics5:16
27 The Race Against Time Capturing Volatile Data in Digital Forensics4:59
28 Dead Acquisition The Unshakeable Foundation of Digital Forensics5:29
29 Unlocking Digital Secrets The Power of Non Volatile Data in Forensics5:35
30 Hashing in Digital Forensics The Digital Fingerprint5:31
Apply hashing as a digital fingerprint to verify digital evidence integrity from collection to court. Compare MD5 and SHA-1 weaknesses with SHA-256 and SHA-512 strengths under SWGD standards.
31 The Unseen Battle Integrity Verification in Digital Forensics5:25
Explore how digital forensics verify the integrity and authenticity of digital evidence using hashing, chain of custody, and SHA-256, with embedded certificates and tamper-evident techniques.
32 Hacking the Hive Unlocking Digital Forensics with Windows Registry Analysis5:42
Explore the Windows registry as a forensic goldmine, detailing registry hives, keys, and values, and how artifacts like shim cache and shell bags reveal user activity and persistence.
33 Unmasking the Digital Ghost Event Log Analysis in Cyber Forensics5:25
34 Memory Analysis Unmasking Digital Ghosts with Volatility5:21
35 Unmasking the Digital Ghost5:23
36 Shellbags and LNK Files Unmasking Digital Footprints in Computer Hacking5:25
37 Linux Memory Acquisition Unlocking Volatile Evidence in Digital Forensics5:18
38 Unlocking Digital Secrets A File System Forensics Investigation5:35
39 Unmasking the Digital Ghost Linux Log Analysis in Computer Hacking Forensics5:38
40 Unlocking macOS Secrets A Digital Forensics Deep Dive5:35
41 Unlocking macOS Memory A Digital Forensics Deep Dive5:04
42 Uncovering Digital Truths File System Investigation in Digital Forensics5:36
43 Packet Capture and Analysis Unmasking Digital Intruders5:23
44 Unmasking the Digital Intruder IDSIPS Log Analysis in Forensics5:35
45 Firewall Logs The Unseen Witnesses of Cybercrime5:18
46 Unmasking the Digital Intruder A Network Forensics Investigation5:22
47 Unmasking the Digital Ghost5:26
48 Unmasking the Invisible Wireless Network Forensics in the Age of Digital Crim5:21
49 SQL Injection Forensics Unmasking the Digital Intruder5:36
50 Unmasking the Invisible XSS Analysis in Digital Forensics5:28
51 Web Server Log Analysis Unmasking Digital Intruders5:38
52 Session Tracking Investigation Unmasking the Digital Intruder5:21
53 Unraveling the Digital Crime Scene Reconstructing Cyberattacks5:35
54 Unmasking the Invisible Advanced Tor Network Forensics5:16
55 Unmasking the Hidden A Forensic Deep Dive into Tor Services5:31
56 Unmasking the Digital Trail5:38
57 Unmasking the Digital Shadows5:16
58 Database Log Analysis Unmasking Digital Intruders5:28
59 SQL Artifacts Uncovering Digital Truths in Hacking Investigations5:31
60 Data Recovery Techniques in Digital Forensics3:37
61 Guarding the Vault5:35
62 Cloud Forensics The Digital Detectives New Frontier5:31
63 Multi Tenant Challenges in Digital Forensics5:53
64 Cloud Data Acquisition in Digital Forensics5:25
65 Unmasking the Digital Ghost Email Header Analysis in Digital Forensics5:19
66 Unmasking the Imposter Email Spoofing Detection in Digital Forensics5:40
67 Unmasking the Attacker A Mail Server Log Forensics Investigation5:24
68 Phishing Investigation Unmasking the Digital Deceivers5:31
69 Static Malware Analysis Unmasking Threats Without Execution5:28
70 Dynamic Malware Analysis Unmasking Digital Threats5:32
71 Behavioral Analysis Unmasking the Digital Attacker5:23
72 Reverse Engineering Unlocking Digital Secrets5:12
73 Android Data Acquisition Unlocking Digital Evidence5:35
74 iOS Data Acquisition Unlocking Digital Evidence in 20265:30
75 Unlocking the Digital Vault5:21
76 SIM Card Forensics Unlocking Digital Evidence5:05
77 Mobile Artifact Investigation Unlocking Digital Secrets5:24
78 Smart Device Forensics Unmasking Digital Attackers in the IoT Era5:34
79 Unmasking the Hidden Embedded Systems Forensics5:26
80 IoT Log Collection The New Frontier in Digital Forensics5:28
81 The Digital Detective Unlocking Evidence in the Internet of Things5:26
82 Volatile Memory Capture The Digital Forensics Race Against Time5:24
83 Volatility Unmasking Digital Secrets in RAM5:21
84 Digital Forensics Unraveling the Digital Crime Scene5:48
85 Rootkits The Invisible Threat in Digital Forensics5:25
86 AI in Digital Forensics The Evolving Battlefield5:35
87 The Digital Forensics Frontier5:24
88 Advanced Ransomware Analysis A Digital Forensics Deep Dive5:31
89 Browser Forensics Uncovering Digital Clues in the Age of Cybercrime5:26
90 Social Media Forensics Unmasking Digital Clues in the Age of Hacking5:26
91 Cloud Native Forensics The Future of Digital Investigations5:41
92 Python in Digital Forensics5:31
93 EnCase The Digital Detectives Toolkit5:29
94 FTK The Investigators Edge in Digital Forensics5:36
95 Autopsy Unlocking Digital Evidence in Cyber Investigations5:31
96 Volatility Unmasking Digital Shadows in Memory Forensics5:24
97 Wireshark The Digital Detectives Toolkit for Cyber Investigations5:38
98 The Art of the Digital Forensic Report5:32
99 Unveiling the Digital Truth5:35
100 Expert Witness Testimony Navigating Computer Hacking and Digital Forensics5:27
101 Digital Forensics in the Courtroom5:12

Requirements

This course has no technical prerequisites and does not require prior experience in programming, machine learning, or cybersecurity tools. Learners are expected to have a basic understanding of general technology concepts, such as how software systems are used in organizations and how cybersecurity risks broadly affect businesses. Familiarity with high-level concepts like data privacy, information security, or digital transformation is helpful but not required. The course is designed to be accessible to beginners, non-technical professionals, students, and decision-makers who want to understand AI security from a conceptual and strategic perspective without engaging in hands-on configuration, coding, or lab-based activities.

Description

AI Security Engineer Fundamentals: AI Cybersecurity Basics introduces learners to the foundational concepts required to understand how artificial intelligence systems are secured across their lifecycle. As AI and machine learning technologies become deeply embedded in modern enterprises, they also introduce new security risks that traditional cybersecurity approaches were not designed to address. This course explains what AI security is, how it differs from conventional security, and why it is now a critical discipline.

The course focuses on conceptual understanding rather than technical implementation. Learners explore how AI systems work at a high level, where security risks emerge, and how attackers exploit weaknesses in data, models, infrastructure, and governance. Topics include AI threat landscapes, data risks, model vulnerabilities, adversarial AI concepts, supply chain risks, and AI-specific attack surfaces—without requiring coding, configuration, or hands-on labs.

The importance of AI security continues to grow as organizations deploy AI for decision-making, automation, and critical business functions. Insecure AI systems can lead to data breaches, model manipulation, regulatory violations, reputational damage, and unsafe outcomes. This course helps learners understand these risks early and prepares them to think defensively about AI systems before problems occur.

Key advantages of this course include its accessibility to non-technical audiences, its alignment with real-world enterprise concerns, and its focus on governance, ethics, and compliance. It builds a strong conceptual foundation that can later support advanced technical training or strategic decision-making roles.

This course is ideal for professionals who want to understand AI security without becoming developers or engineers. As AI adoption accelerates, organizations will increasingly need professionals who can bridge the gap between AI innovation, cybersecurity, and risk management. Understanding AI security fundamentals today prepares learners for future roles in governance, policy, security leadership, and enterprise AI oversight.

Who this course is for:

Cybersecurity and IT Professionals To understand how AI systems introduce new risks beyond traditional security models and prepare for AI-driven enterprise environments.
AI, Data, and Technology Managers To gain awareness of AI security risks, governance challenges, and compliance responsibilities without needing technical depth.
Risk, Compliance, and Governance Professionals To understand AI-specific threats, regulatory implications, and how AI security impacts organizational risk management.
Students and Career Switchers To build a strong foundational understanding of AI cybersecurity concepts before pursuing advanced technical or strategic roles.

AI Security Engineer Fundamentals: AI Cybersecurity Basics!!

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