Udemy - AI Risk and Security - Secure Coding torrent

AI Risk & Security - Secure Coding

https://DevCourseWeb.com

Published 10/2024
Created by Yiannis Pavlosoglou,Jim Manico
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lectures ( 1h 58m ) | Size: 1.2 GB

Master AI-Driven Code Generation with Secure, Efficient, and Reliable Development Practices

What you'll learn:
Understand the top 10 risks in AI generated code for 2025.
Harness AI-driven tools like GitHub Copilot while prioritizing security in software development.
Identify and mitigate risks like biases, deprecated practices, and security oversights in AI-generated code.
Apply secure coding principles to prompt engineering, ensuring robust and secure AI-generated code.
Evaluate AI-generated code using metrics like MTTF, MTTR, and cyclomatic complexity to ensure reliability.
Understand the architecture and inner workings of AI language models in software development.
Analyze real-world case studies of secure and insecure AI-generated code for practical insights.
Implement security best practices in AI-assisted software development using ethical considerations.
Avoid legal pitfalls such as unintentional inclusion of GPL-licensed code in AI-generated outputs.
Learn secure coding practices in frameworks like React, including input validation and CSRF protection.
Apply evaluation techniques to assess AI-generated code for security, reliability, and maintainability.

Requirements:
Beginners Welcome. No Advanced AI Experience Needed.
No programming experience needed. Basic programming knowledge is only required.
Familiarity with Software Development Processes.
Basic Understanding of AI Concepts (Optional)
Access to AI Coding Tools (GitHub Copilot, ChatGPT, Gemini, and similar).