Foundations of AI Privacy and Blockchain
About this course
Every AI model carries ethical risk, every blockchain carries an attack surface, and every customer record carries a privacy obligation. This Specialization builds AI ethics, blockchain security, and data privacy skills together: apply machine learning algorithms like XGBoost and CNNs alongside causal models and transformer-based NLP, run STRIDE threat modeling to harden smart contracts and wallets against real-world crypto attacks, and build a privacy program spanning data inventories, consent, and secure destruction. You'll leave equipped to design AI systems, blockchain architectures, and data programs that are technically sound, secure, and genuinely trustworthy.
60/100
CourseAsk score
- What the provider tells you
- 24/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- apply machine learning algorithms
- conduct STRIDE threat modeling
- develop privacy programs
- design secure blockchain architectures
- implement ethical AI practices
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Compared on these lists
Where this course ranks against the alternatives.
edX
Coursera