How to Learn AI Secure Coding Free with Download
Watch premium video classes to learn AI-driven secure coding, understand risks, and download free course content to master ethical AI tools.
AI Risk & Security – Secure Coding Overview:
This premium video course is completely free and designed to help you master AI-driven code generation with a strong focus on security and ethical development. You will explore tools like GitHub Copilot and GPT-4 while learning to identify and reduce common vulnerabilities in AI-generated code. Real-world case studies give you a deep understanding of both the strengths and weaknesses of AI in coding. With hands-on examples and expert guidance, this course equips you with the skills to code securely in today’s AI-driven software development world.
Developers, AI enthusiasts, and security professionals will benefit from this course by learning secure prompt engineering and evaluation techniques like MTTF, MTTR, and cyclomatic complexity. The content ensures you not only generate functional code but also maintain high standards of reliability and security. Gain practical insights, avoid common legal pitfalls like GPL-licensed code violations, and use AI ethically in your development process. Join this comprehensive course to future-proof your coding skills and confidently lead AI-assisted software projects.
This course helps you code with AI securely, ethically, and efficiently.
What You’ll Learn in AI Risk & Security – Secure Coding:
- Understand top 10 AI coding risks for 2025.
- Use GitHub Copilot with secure development practices.
- Evaluate code quality using MTTF, MTTR, and complexity metrics.
- Identify and fix AI code issues like bias and deprecated methods.
- Craft secure prompts for better AI-generated code.
- Implement secure coding in frameworks like React.
- Apply ethical standards in AI-assisted coding projects.
Course Highlights:
- Top AI Security Risks: Learn controls to avoid the most dangerous issues in AI-generated code.
- Prompt Engineering: Master the skill of guiding AI to write secure code.
- Real-World Examples: Compare secure vs insecure AI-generated code.
- Reliable Code: Use evaluation metrics to ensure your code is safe and functional.
- Ethical Practices: Avoid legal issues and maintain compliance in AI-assisted development.
AI Coding Security Information:
AI Risk & Security – Secure Coding bridges the gap between artificial intelligence and secure software development. It begins with the history and evolution of AI in coding, covering essential tools like GitHub Copilot and GPT-4. The course emphasizes the benefits and risks of AI code generation and provides practical exercises that highlight secure and insecure AI outputs. You will explore key secure coding practices in frameworks like React, and learn to protect against XSS, CSRF, and other vulnerabilities. The course equips you to assess code reliability using proven metrics and applies those insights through demos and case studies.
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