Artificial Intelligence for Cyber Security
offered by Oxford University

Public University
1 Campus
Estd. 1096

Artificial Intelligence for Cyber Security
at
Oxford University
Overview

Explore parallelization of algorithms and algorithmic approaches such as stochastic gradient descent

Duration	3 days
Total fee	₹83,000
Mode of learning	Online
Course Level	UG Certificate

Artificial Intelligence for Cyber Security
at
Oxford University
Highlights

Earn a certificate of completion from Oxford university
End-to-end case study for a secure IoT application in a devops ecosystem

Artificial Intelligence for Cyber Security
at
Oxford University
Course details

Skills you will learn

Application Security XML Security Cyber Security Compliance Statistics

Who should do this course?

For both cyber security professionals who want to understand AI, and AI professionals who want to work with cyber security

What are the course deliverables?

Injection
Broken authentication
Sensitive data exposure
XML External Entities (XXE)
Broken access control
Security misconfiguration
Cross-Site Scripting (XSS)
Insecure deserialization

More about this course

A new pioneering course that blends the domains of cyber security and artificial intelligence (AI)

Artificial Intelligence for Cyber Security
at
Oxford University
Curriculum

Fundamentals of Cyber Security

Identity, authentication, confidentiality, privacy, anonymity, availability and integrity

Exploring cryptographic algorithms together with major attacks

Exploring high-level security protocols together with some rigorous mechanisms for reasoning about their correctness

Other mechanisms such as biometric authentication will also be covered

Compliance and security assessment

Fundamentals of AI for Security

Deep learning fundamentals from a security perspective

Fundamentals of AI and how AI can solve problems in the cyber security space

Secure Web

Making websites secure using AI techniques for injection

Using regular expressions

Identifying patterns and matching with existing scores

Deep learning applications

Statistical patterns

Bayesian statistics

Statistical distributions

Natural language processing

Cyber Security Threats and Development of Secure Software

Web Application Security

Securing IOT Infrastructure

Secure AI Development

Impact of AI on Cyber Security

Large scale deployment of AI algorithms on production

Artificial Intelligence for Cyber Security
at
Oxford University
Faculty details

Greg Ainsile-Malik

Greg is a Machine Learning Architect at Splunk where he helps customers deliver advanced analytics and uncover new ways of insight from their data. Prior to working at Splunk he spent a number of years with Deloitte and before that BAE Systems Detica working as a data scientist.

Ajit Jaokar

He is the course director of the course: Artificial Intelligence: Cloud and Edge Implementations. Besides this, he also conducts the University of Oxford courses: AI for Cybersecurity and Computer Vision.

Ian McDonald

Dr Ian McDonald has been a visionary technology leader for over 20 years and is currently global tech team leader at Microsoft for Startups covering Western Europe. He’s previously lead teams at a range of corporates and startups and built global scale systems.

Raj Sharma

Raj Sharma has over 20 years of experience in software consulting, entrepreneurship with artificial intelligence (machine learning and deep learning) , big data (Cloudera/Hortonworks), Databricks and Cloud (AWS/Azure/Google).