πŸŽ“Professional Certification Programs 2025

Master Blockchain Engineering & AI Ethics

Comprehensive training and certification based on Springer textbooks. Professional programs in Blockchain Engineering for Healthcare and AI Ethics by Design.

34
Expert Chapters
2
Programs
100+
Case Studies
6
Cert Levels

Choose Your Program

Select a certification program to explore the curriculum, certification levels, and learning path

⛓️
Blockchain Engineering
Secure, Sustainable Frameworks for Healthcare Applications
πŸ“˜ Springer Blockchain Technologies Series ✍️ Prof. Muthu Ramachandran πŸ“… Published: June 2025 πŸ“– ISBN: 978-981-96-4360-8

Industry-Leading Blockchain Curriculum

Comprehensive certification program built upon the official Springer textbook, providing a rigorous framework for developing secure blockchain applications in healthcare.

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Healthcare Focus

EHR, clinical trials, and patient data security

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Security First

NIST, ISO 27001, HIPAA, GDPR compliance

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AI Integration

GenAI and blockchain convergence

🌱

Sustainability

Energy-efficient consensus mechanisms

Blockchain Curriculum

17 chapters covering blockchain engineering for healthcare

Part I: Foundations

Core concepts and technologies

CH 01

Introduction to Blockchain Concepts

Fundamental principles, decentralization, and cryptographic foundations.

DecentralizationCryptographyConsensus
CH 02

Core Blockchain Technologies

Consensus mechanisms, PoW vs PoS, smart contract platforms.

PoW/PoSEthereumHyperledger
CH 03

ICT in Global Healthcare

Healthcare IT infrastructure and interoperability challenges.

EHR SystemsHL7 FHIRDigital Health

Part II: Healthcare Applications

Real-world blockchain implementations

CH 04-06

Healthcare Blockchain Applications

EHR integration, supply chain, and clinical trials management.

Patient RecordsDrug TraceabilityClinical Trials

Part III: Security & Privacy

Securing blockchain applications

CH 07-09

Security & Compliance

Blockchain security, privacy-preserving technologies, and regulatory compliance.

Zero-KnowledgeHIPAAGDPR

Part IV: Development

Hands-on implementation

CH 10-12

Smart Contract Development

Solidity, Hyperledger Fabric, testing, and quality assurance.

SolidityChaincodeTesting

Part V: Advanced Topics

AI integration and future developments

CH 13-17

Advanced & AI Integration

Scalability, governance, sustainability, and AI-blockchain convergence.

Layer 2GenAIEthics

Blockchain Certification

Choose your certification level

Foundation

Associate

Β£499 / one-time
  • Parts I & II (Chapters 1-6)
  • Online exam (50 questions)
  • Digital certificate
  • 6-month access
Get Started
Expert

Master

Β£1,999 / one-time
  • Complete curriculum
  • Capstone project
  • 1-on-1 mentorship
  • Lifetime access
Apply Now
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Engineering Ethics of AI by Design
Principles, Practices, and Frameworks for Responsible AI
πŸ“š Springer Engineering Series ✍️ Prof. Muthu Ramachandran πŸ“… Published: November 2025 πŸ“– ISBN: 978-981-95-2909-4

Bridge Theory to Practice in AI Ethics

Rigorous framework for embedding ethical considerations into every phase of AI system development. Master actionable frameworks and engineering-centric approaches.

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Ethics by Design

Fairness, transparency, accountability

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Global Frameworks

EU AI Act, IEEE, NIST, UNESCO

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Domain Applications

Healthcare AI, autonomous vehicles

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Governance & Testing

Bias detection, explainability

AI Ethics Curriculum

17 chapters covering ethical AI development lifecycle

Part I: Foundations

Core principles and frameworks

CH 01

The Ethics of Artificial Intelligence

Transparency, fairness, accountability, privacy, and governance models.

TransparencyFairnessAccountability
CH 02

History and Evolution of AI Ethics

From Turing to modern AI governance and responsible AI movements.

AI HistoryTuring TestEvolution
CH 03

Analysis of Ethical Frameworks

EU AI Act, IEEE EAD, NIST, UNESCO, OECD frameworks.

EU AI ActIEEENIST

Part II: Challenges & Case Studies

Real-world ethical dilemmas

CH 04-05

Ethical Challenges & Case Studies

Bias, privacy, Amazon hiring, Cambridge Analytica, autonomous vehicles.

BiasPrivacyDeepfakes

Part III: Ethics by Design

Engineering approaches

CH 06-09

AI Ethics by Design Methodology

Requirements engineering, healthcare design, architecture patterns.

RequirementsHealthcare AIArchitecture

Part IV: Development & Governance

Implementation and evaluation

CH 10-15

Development, Testing & Governance

Fairlearn, SHAP, MLOps, governance, safety, policy.

FairlearnMLOpsGovernance

Part V: Emerging Technologies

GenAI and AI Agents

CH 16-17

Generative AI & AI Agents

GenAI ethics, deepfakes, IP, autonomous agents, LangChain.

GenAIAI AgentsLangChain

AI Ethics Certification

Choose your certification level

Foundation

Associate

Β£549 / one-time
  • Parts I & II (Chapters 1-5)
  • Online exam (50 questions)
  • Digital certificate
  • 6-month access
Get Started
Expert

Master

Β£2,499 / one-time
  • Complete curriculum
  • Capstone project
  • 1-on-1 mentorship
  • Lifetime access
Apply Now
Prof. Muthu Ramachandran

Prof. Muthu Ramachandran

Cybersecurity, AI & Blockchain Research Consultant | IASME CE Certified

With over 30 years of academic and industry experience, Prof. Ramachandran brings unparalleled expertise. Currently Research Consultant at Forti5 Technologies (UK) and Professor Extraordinarius at UNISA, with previous positions at IIT Dhanbad, University of Southampton, and Leeds Beckett University.

Author of 9+ Springer books including "Blockchain Engineering" and "Engineering Ethics of AI by Design". Published over 200 conference papers and 100+ journal articles.

IASME CE Certified Senior IEEE Member Fellow of BCS ACM Member Senior HEA Fellow

Books & Learning Resources

Explore the official Springer textbooks and online courses that power our certification programs

Frequently Asked Questions

Everything you need to know about our certification programs

Foundation level requires basic software development understanding. For Blockchain, familiarity with programming and databases is recommended. For AI Ethics, Python and basic ML concepts are helpful. Master levels are for professionals with 2+ years experience.

Foundation: 4-6 weeks (10-15 hours/week). Practitioner: 10-14 weeks. Master: 16-20 weeks including capstone project and mentorship.

Yes, based on official Springer textbooks covering NIST, ISO 27001, HIPAA, GDPR, EU AI Act, and IEEE frameworksβ€”highly relevant for technology, healthcare, and regulatory roles.

Yes! Many professionals pursue bothβ€”especially for healthcare AI or technology governance roles. We offer 20% discount when enrolling in both programs simultaneously.

Yes, customized corporate training for teams of 5+. Includes dedicated support, custom scheduling, progress tracking, and on-site workshop options. Contact us for enterprise pricing.

Ready to Advance Your Career?

Join professionals worldwide mastering blockchain engineering and AI ethics. Build secure, ethical systems that transform healthcare and technology.