Overview What You Will Learn Curriculum Instructor

Course Overview

Artificial Intelligence is transforming cybersecurity at an unprecedented pace, creating both powerful defensive capabilities and sophisticated new attack vectors. As cybercriminals increasingly leverage AI to automate attacks, create convincing deepfakes, bypass traditional security controls, and launch highly personalized scams, individuals and organizations must understand the evolving threat landscape to remain secure. This course explores the intersection of AI and cybersecurity, highlighting emerging risks, defensive technologies, governance considerations, and responsible AI adoption.

This course begins with an examination of AI-powered cyber threats, including AI-as-a-Service, automated attacks, and the convergence of AI, cloud, and IoT technologies. Learners will explore advanced phishing techniques, deepfake scams, Shadow AI risks, prompt injection attacks, password-cracking methods, and modern authentication challenges. The course also covers AI-powered security tools, autonomous cyber agents, responsible AI practices, regulatory compliance, data privacy, human-centric security awareness, and role-based security considerations for executives, HR teams, developers, legal professionals, customer-facing staff, and business leaders.

By the end of this course, learners will be equipped to identify AI-driven cyber risks, strengthen security practices, promote responsible AI use, and contribute to a safer and more resilient digital environment.

What You Will Learn

  • Understand how AI is transforming modern cyber threats.
  • Spot deepfakes, voice clones, and AI-driven phishing scams.
  • Strengthen digital hygiene for AI tool and app usage.
  • Identify role-specific risks across departments.
  • Recognize social engineering powered by AI profiling.
  • Protect sensitive data from leaking into AI systems.

Program Curriculum

  • The Shift from Traditional to AI-Powered Threats
  • AI-as-a-service for Cybercriminals
  • Types of AI-driven Attacks - Automation, Personalization, Deception
  • AI, IoT, and Cloud - A Threat Multiplier
  • Chapter 1 Quiz

  • Voice Cloning and Deepfake Scams
  • Hyper-personalized Phishing Using Generative AI
  • Manipulation Techniques Driven by Psychological Profiling
  • AI-powered Smishing, Chatbot Attacks, and Image-based Phishing
  • Chapter 2 Quiz

  • Understanding Shadow AI vs. Shadow IT
  • Data Leaks via AI Tools like ChatGPT, Gemini, Copilot
  • Prompt Injection and Sensitive Data Exposure
  • Privacy Implications of Browser Extensions and AI Add-ons
  • AI-assisted Password Cracking and Brute-force Attacks
  • MFA Fatigue, Bypass Techniques, and Behavioral Mimicking
  • Chapter 3 Quiz

  • Secure User Practices in a Dynamic Threat Landscape
  • Role of Behavioral Biometrics in Modern Authentication
  • Chapter 4 Quiz

  • AI in Threat Detection and Predictive Analytics
  • Autonomous Response and Smart Security Platforms (EDR, XDR, SIEM)
  • AI's Role in Fraud Prevention, Phishing Detection, and Anomaly Monitoring
  • Balancing Automation with Human Oversight
  • Chapter 5 Quiz

  • What is Agentic AI? (AutoGPT, BabyAGI, CrewAI, Devin, Etc.)
  • When AI Starts to Act on Its Own
  • Governance Challenges - Access, Auditability, Containment, and Ethical Limits
  • How AI Agents Plan, Act, and Iterate Autonomously
  • Offensive Use Cases - Recon, Phishing, Exploitation at Scale
  • Defensive Use Cases - Self-healing Systems, Auto-response Agents
  • Real-world Industry Examples and Early Warning Signs
  • Chapter 6 Quiz

  • Responsible AI Principles in the Workplace
  • Regulatory Landscape - GDPR, HIPAA, Emerging AI-specific Laws
  • Risk of Data Exposure in Training Large Language Models
  • Building a Secure, Compliant AI Usage Culture
  • Chapter 7 Quiz

  • Elevating Employee Vigilance in AI-enhanced Threats
  • Collaboration Between Teams and Security Departments
  • Response Best Practices During Suspicious Incidents
  • Encouraging a Reporting-first Culture
  • Chapter 8 Quiz

  • AI-targeted Impersonation - Deepfakes and BEC Scenarios at the Top
  • Executive Strategic Oversight - Governing AI Adoption, Risk, and Accountability
  • Executive & Leaders - Vendor Risk and AI Procurement - Red Flags and Due Diligence
  • Payroll Fraud and Financial Scams Using AI-generated Content
  • Hiring and Candidate Scams - Deepfake Interviews and Resume Impersonation
  • Protecting Employee and Compensation Data in AI Workflows
  • Secure Use of AI Development Tools - Copilot, Devin, and Beyond
  • Agent-based Exploitation and Prompt Injection Scenarios
  • Using AI in Red-teaming, Threat Modeling, and Security Research
  • AI-driven Impersonation in Customer Touchpoints
  • Social Engineering via Portals, Forms, and Sales Workflows
  • Responsible AI Use in Customer Messaging and Automation
  • Legal and Regulatory Readiness for AI Use in Business
  • Model Hallucination and Misuse in Legal Content
  • Data Governance – Consent, Residency, and Audit Trails
  • Chapter 9 Quiz

  • Final Thoughts from the Author
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Instructor

Anand Rao Nednur

Anand Rao is a senior technical instructor and cloud consultant. He has worked with large enterprises for about 15 years and has a wide range of technologies in his portfolio. Anand is adept at not just cloud platforms (Azure, AWS and GCP) but also well-versed with IAM, security and automation with PowerShell and python. In addition, he has been developing and updating the content for various courses. He has been assisting many engineers in the lab examinations and securing certifications. Anand Rao has delivered instructor led trainings in several states in India as well as several countries like USA, Bahrain, Kenya and UAE. He has worked as a Microsoft Certified Trainer globally for Corporate Major Clients. Anand is also a Certified seasoned professional holding certifications in following platforms: • Microsoft Certified Trainer (MC) • SY0-401: CompTIA Security + • Scrum Certified master (SCRUM) • ITIL V3 • Certified Network Defender (CND – EC-Council) • Certified Ethical hacker (CEH – EC-Council) • 70-640 MS Active Directory • 70-533 MS Azure Administration • 70-534 MS Azure Architecture • AWS certified solutions Architect – Associate • AWS certified sysops administrator – Associate • Google Cloud Platform-Cloud Architect (GCP) • Certified Cloud Security Knowledge (CCSK) Anand also manages channel "AWS Blackboard" in YouTube. Feel free to subscribe to AWS and Azure. Share, Learn, Subscribe

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