AI Secure Programming for Web Applications / Technical Overview (TTAI2835)

Course Objectives

Learning Objectives

Throughout the course you’ll learn to:

• Master the basics of artificial intelligence and secure coding: Get familiar with the foundational aspects of AI and the significance of secure coding, setting a strong base to build your knowledge on.
• Understand the OWASP Top Ten 2021: Dive into the major web application security risks and explore how AI can play a significant role in their mitigation.
• Grasp the concept of secure AI programming: Learn about the key principles of secure AI programming and how to implement them effectively in your projects.
• Get hands-on with web application integration: Acquire the know-how to integrate AI models seamlessly with web applications, taking your programming skills to the next level.
• Get the hang of deploying and debugging AI applications: Familiarize yourself with the process of deploying AI applications and learn how to troubleshoot common issues that might pop up.
• Explore the fascinating world of Natural Language Processing: Delve into the intersection of language and AI, understanding how NLP can be used to identify vulnerabilities in web applications.

Course Prerequisites

Audience

This introductory level course is geared for tech enthusiasts, software developers, web application developers, and AI aspirants seeking to harness the power of AI to enhance web security. It's also ideal for IT professionals responsible for web security in their organizations who are eager to innovate with AI-driven solutions. Roles might include Web Application Developers, Software Engineers, Information Security Analysts, AI/Machine Learning Enthusiasts, IT Managers focused on Web Security, Data Scientists interested in Web Security or others

Pre-Requisites

This is not a hands-on course, however its helpful if you have:

• Basic Understanding of Web Applications
• Basic understanding of programming concepts
• Basic cybersecurity concepts

Take Before:

• TT8120          Securing Web Applications Overview | OWASP Top Ten and Beyond (2 days)               

NOTE: This course is lecture / demo based, but labs can be added upon request for private courses.  For a hands-on edition of the course, attendee pre-requisites would realign depending on the tools selected and audience. Please inquire for details.

Course Agenda

1. Introduction to AI and Secure Coding

• Understand the basics of AI and the importance of secure coding
• Understanding AI: An overview
• Secure Coding in AI
• Intro to machine learning
• Demo: Demonstrate a basic AI model

2. Understanding OWASP Top Ten 2021 and AI Implications

• Understand the OWASP Top Ten 2021 and how AI can mitigate risks
• Brief overview of the OWASP Top Ten 2021
• Discussing security risks in AI applications
• Demo: Show how AI can be used to identify potential security threats using

3. Secure AI Programming and Web Application Integration 

• Understand the concept of secure AI programming and web application integration
• Security in AI: An Overview
• Secure data handling in AI
• Connecting AI models with Web applications
• Demo: Demonstrate connecting an AI model to a web application

4. Deploying and Debugging AI Applications 

• Understand how to deploy and debug AI applications
• The fundamentals of AI application deployment
• Troubleshooting common issues in AI applications
• Demo: Demonstrate deploying a simple AI model

5. Natural Language Processing and AI Security 

• Understand the basics of Natural Language Processing (NLP) and AI security
• Overview of NLP in AI
• AI in identifying vulnerabilities in web applications
• Demo: Showcase text processing and analysis

Course Materials

Setup Made Simple! Learning Experience Platform (LXP) 

All applicable course software, digital courseware files or course notes, labs, data sets and solutions, live coaching support channels and rich extended learning and post training resources are provided for you in our “easy access, no install required” online Learning Experience Platform (LXP), remote lab and content environment. Access periods vary by course. We’ll collaborate with you to ensure your team is set up and ready to go well in advance of the class. Please inquire about set up details and options for your specific course of interest.