Post Quantum Security For AI By Petar Radanliev - Courses24h.com

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Post-Quantum Security for AI by Petar Radanliev: Futureproof Your Cybersecurity Strategy Against AGI and Quantum Threats

What if the encryption protecting your data today could be broken tomorrow—not by hackers, but by quantum computers?

What if Artificial General Intelligence (AGI) could outthink your security defenses before you even detect an attack?

The digital landscape is shifting faster than most organizations can adapt. Traditional cybersecurity practices, built for a pre-quantum, pre-AGI world, are no longer enough.

That’s why Post-Quantum Security for AI by Petar Radanliev exists.

This isn’t another theoretical security course. It’s a practical, forward-looking video training program that shows cybersecurity professionals, IT leaders, and policymakers how to build resilient systems that withstand the dual threats of quantum computing and advanced AI—today and tomorrow.

If you’re responsible for protecting sensitive data, digital identities, or critical infrastructure, this is your blueprint for staying ahead of the next generation of cyber risk.

What You’ll Learn Inside Post-Quantum Security for AI

✅ Module 1: Introduction to Technological Threats

Understand the forces reshaping cybersecurity:

The Path to the Technological Singularity: Historical context, current research trajectories, and security implications of accelerated AI development
Quantum Computing and the Security Horizon: How quantum speed-up threatens current cryptography, global research timelines, and early warning signs for cryptographic obsolescence

✅ Module 2: Digital Security by Design

Evaluate and strengthen your security foundation:

Strength and Fragility of Current Architectures: Assess system efficacy, identify domino-effect failure risks, and map interconnected infrastructure vulnerabilities
Artificial General Intelligence in Cybersecurity: Explore AI-enhanced defensive capabilities, emerging risks of AGI-driven offensive operations, and how to balance opportunity with existential risk

✅ Module 3: Quantum-Resistant Cryptography

Implement cryptography that survives the quantum era:

Post-Quantum Cryptography and NIST Standards: Learn why existing algorithms fail under quantum attack and master NIST-approved solutions (Kyber, Dilithium, Falcon, SPHINCS+)
Implementing Quantum-Safe Solutions: Develop migration strategies, deploy hybrid cryptographic systems, and align with performance, audit, and regulatory requirements

✅ Module 4: Defending Against AGI Threats

Protect systems from intelligent, adaptive adversaries:

AI-Driven Defense and Threat Mitigation: Understand the reliability and limitations of AI-powered security, review real-world case studies, and prepare for automated security orchestration
Protecting Digital Identity in an AGI World: Build quantum-safe identity frameworks, leverage decentralized authentication models, and apply reinforcement learning for AI agent-based identity protection

✅ Module 5: The Future of Digital Security

Design systems that endure:

Building Future-Proof Security Architectures: Create infrastructure resilient to quantum attacks, anticipate AGI-level adversarial strategies, and prepare for evolving standards and governance
Preventing a Runaway Technological Singularity: Address ethical and existential risks of uncontrolled AGI, implement proactive countermeasures, and contribute to global coordination efforts

Hands-On, Practical Learning

This course goes beyond theory with:
✨ Real-world scenarios that mirror emerging threats in finance, healthcare, government, and critical infrastructure
✨ Hands-on exercises to apply post-quantum cryptographic techniques and AI-resilient strategies
✨ Expert-led instruction from Petar Radanliev, a recognized authority in cyber risk, AI safety, and resilient systems design
✨ Plain-language explanations that make complex topics accessible—no PhD in quantum physics required

“Futureproof your cybersecurity strategy with practical defenses against AGI and quantum computing threats.”
— Course Description

Who This Course Is For

Cybersecurity practitioners preparing for quantum and AI-era threats
Cryptographers and security architects implementing next-generation protections
IT and technology leaders setting long-term security strategy
Infrastructure security teams protecting critical systems and data
Academic researchers and policymakers shaping the future of digital risk governance

Prerequisites

A foundational understanding of cybersecurity principles or equivalent professional experience is recommended. No advanced quantum computing or AI expertise required—concepts are taught clearly and progressively.

Key Skills You’ll Gain

After completing Post-Quantum Security for AI, you’ll be able to:
✅ Identify and evaluate security risks introduced by AGI and quantum computing
✅ Apply post-quantum cryptographic techniques, including lattice-based methods
✅ Use blockchain, zero-knowledge proofs, and decentralized identity models for resilient protection
✅ Develop strategies to defend systems from intelligent, adaptive AI-driven exploits
✅ Protect sensitive data and digital identities against next-generation attacks
✅ Build organizational readiness for cryptographic migration and AI governance

Why This Course Stands Out

Unlike generic security training, Radanliev’s program is built for the convergence of two existential threats:

Quantum computing: Which could break today’s encryption in hours, not centuries
Artificial General Intelligence: Which could automate attacks at speeds humans can’t match

Most courses address one or the other. This one shows you how they intersect—and how to defend against both.

What’s Included

10 structured video lessons across 5 modules
Hands-on exercises and real-world scenario walkthroughs
Clear explanations of NIST post-quantum cryptography standards
Frameworks for quantum-safe identity, AI-resilient defense, and future-proof architecture
Lifetime access to video content and updates

Format: Online Video Course
Skill Level: Intermediate
Publisher: Addison-Wesley Professional (InformIT)

Ready to Secure Tomorrow’s Digital World—Today?

The quantum and AI revolutions aren’t coming. They’re here.

Organizations that wait to adapt will face catastrophic breaches, regulatory penalties, and loss of trust. Those who act now will lead the next era of digital security.

Post-Quantum Security for AI gives you the knowledge, tools, and confidence to futureproof your systems before the threats arrive.

Stop preparing for yesterday’s attacks.
Start defending against tomorrow’s realities.

Enroll in Petar Radanliev’s Post-Quantum Security for AI—and build the resilient, quantum-safe, AI-resilient security strategy your organization needs to thrive in the age of AGI and technological singularity.

How to evaluate current cryptographic vulnerabilities and map infrastructure risks exposed by quantum computing and AGI
How to implement NIST-approved post-quantum cryptographic standards (Kyber, Dilithium, Falcon, SPHINCS+) into existing systems
How to design hybrid migration strategies that transition legacy encryption to quantum-safe architectures without service disruption
How to build quantum-resistant digital identity frameworks using decentralized authentication and zero-knowledge proofs
How to defend against AGI-driven automated attacks using AI-resilient security orchestration and adaptive threat mitigation
How to develop organizational readiness plans for cryptographic migration, AI governance, and future-proof security architecture

Course Content

1. Module 1 Introduction To Technological Threats

001. Post Quantum Security For AI Introduction

01:36
002. Module Introduction

00:34
003. Learning Objectives

00:42

2. Module 2 Digital Security By Design

004. 11 Historical Background And Conceptual Foundations

19:19
005. 12 Current Research Trajectories And Indicators

16:36
006. 13 Security Implications Of Accelerated AI Development

05:37
007. Learning Objectives

00:55
008. 21 Fundamentals Of Quantum Speed Up And Cryptographic Risks

19:17
009. 22 Timelines And Global Quantum Research Roadmaps

12:47
010. 23 Early Warning Signs For Cryptographic Obsolescence

10:54
011. Module Introduction

00:46
012. Learning Objectives

00:56
013. 31 Evaluation Of Digital Security System Efficacy

16:26
014. 32 Systemic Risks And Domino Effect Failures

16:16
015. 33 Interconnected Infrastructure Vulnerabilities

08:49
016. Learning Objectives

00:39
017. 41 Potential For AI Enhanced Defensive Capabilities

13:53
018. 42 Emerging Risks Of AGI Driven Offensive Operations

07:30
019. 43 Balancing Opportunity And Existential Risk

12:30

3. Module 3 Quantum Resistant Cryptography

020. Module Introduction

00:37
021. Learning Objectives

00:41
022. 51 Why Existing Cryptography Fails Under Quantum Attack

16:43
023. 52 Overview Of NIST PQC Standards Kyber Dilithium Falcon SPHINCS

11:52
024. 53 Global Adoption And Compliance Strategies

09:18
025. Learning Objectives

00:59
026. 61 Migration Strategies And Hybrid Deployments

10:36
027. 62 Performance And Implementation Considerations

10:06
028. 63 Risk Assessments Audits And Regulatory Alignment

03:12

4. Module 4 Defending Against Agi Threats

029. Module Introduction

00:32
030. Learning Objectives

00:47
031. 71 Reliability And Limitations Of AI Driven Cybersecurity

09:57
032. 72 Case Studies Of AI Enabled Defense Mechanisms

29:34
033. 73 Future Trends In Automated Security Orchestration

04:05
034. Learning Objectives

00:48
035. 81 Quantum Safe Digital Identity Frameworks

40:34
036. 82 AI In Decentralized Identity And Authentication

20:37
037. 83 Reinforcement Learning And AI Agents For Identity Protection

16:11

5. Module 5 The Future Of Digital Security

038. Module Introduction

00:55
039. Learning Objectives

00:54
040. 91 Designing Systems Resilient To Quantum Attacks

28:55
041. 92 Anticipating AGI Level Adversarial Strategies

15:15
042. 93 Standards Policy And Governance Readiness

08:54
043. Learning Objectives

00:58
044. 101 Ethical And Existential Risks Of Uncontrolled AGI

12:55
045. 102 Proactive Countermeasures And Policy Frameworks

08:45
046. 103 Global Coordination And Long Term Resilience

23:29
047. Post Quantum Security For AI Summary

02:12

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About Course

Post-Quantum Security for AI by Petar Radanliev: Futureproof Your Cybersecurity Strategy Against AGI and Quantum Threats

What You’ll Learn Inside Post-Quantum Security for AI

✅ Module 1: Introduction to Technological Threats

✅ Module 2: Digital Security by Design

✅ Module 3: Quantum-Resistant Cryptography

✅ Module 4: Defending Against AGI Threats

✅ Module 5: The Future of Digital Security

Hands-On, Practical Learning

Who This Course Is For

Prerequisites

Key Skills You’ll Gain

Why This Course Stands Out

What’s Included

Ready to Secure Tomorrow’s Digital World—Today?

What Will You Learn?

Course Content

1. Module 1 Introduction To Technological Threats

001. Post Quantum Security For AI Introduction

002. Module Introduction

003. Learning Objectives

2. Module 2 Digital Security By Design

004. 11 Historical Background And Conceptual Foundations

005. 12 Current Research Trajectories And Indicators

006. 13 Security Implications Of Accelerated AI Development

007. Learning Objectives

008. 21 Fundamentals Of Quantum Speed Up And Cryptographic Risks

009. 22 Timelines And Global Quantum Research Roadmaps

010. 23 Early Warning Signs For Cryptographic Obsolescence

011. Module Introduction

012. Learning Objectives

013. 31 Evaluation Of Digital Security System Efficacy

014. 32 Systemic Risks And Domino Effect Failures

015. 33 Interconnected Infrastructure Vulnerabilities

016. Learning Objectives

017. 41 Potential For AI Enhanced Defensive Capabilities

018. 42 Emerging Risks Of AGI Driven Offensive Operations

019. 43 Balancing Opportunity And Existential Risk

3. Module 3 Quantum Resistant Cryptography

020. Module Introduction

021. Learning Objectives

022. 51 Why Existing Cryptography Fails Under Quantum Attack

023. 52 Overview Of NIST PQC Standards Kyber Dilithium Falcon SPHINCS

024. 53 Global Adoption And Compliance Strategies

025. Learning Objectives

026. 61 Migration Strategies And Hybrid Deployments

027. 62 Performance And Implementation Considerations

028. 63 Risk Assessments Audits And Regulatory Alignment

4. Module 4 Defending Against Agi Threats

029. Module Introduction

030. Learning Objectives

031. 71 Reliability And Limitations Of AI Driven Cybersecurity

032. 72 Case Studies Of AI Enabled Defense Mechanisms

033. 73 Future Trends In Automated Security Orchestration

034. Learning Objectives

035. 81 Quantum Safe Digital Identity Frameworks

036. 82 AI In Decentralized Identity And Authentication

037. 83 Reinforcement Learning And AI Agents For Identity Protection

5. Module 5 The Future Of Digital Security

038. Module Introduction

039. Learning Objectives

040. 91 Designing Systems Resilient To Quantum Attacks

041. 92 Anticipating AGI Level Adversarial Strategies

042. 93 Standards Policy And Governance Readiness

043. Learning Objectives

044. 101 Ethical And Existential Risks Of Uncontrolled AGI

045. 102 Proactive Countermeasures And Policy Frameworks

046. 103 Global Coordination And Long Term Resilience

047. Post Quantum Security For AI Summary

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