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Qaqc For Coding: Ensuring Code Quality With Modern Ai
![]() Qaqc For Coding: Ensuring Code Quality With Modern Ai Published 3/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 42m | Size: 1.87 GB What you'll learn Introduction to QAQC and Its Importance QAQC For Software Development Practical Gen AI Concepts QAQC AI Tools Requirements Prior exposure to AI Description This course contains the use of artificial intelligence. Software quality is not accidental - it's engineered. In today's fast-paced development environments, writing code is only part of the job. Ensuring that code is reliable, secure, scalable, and production-ready is what separates amateur projects from professional systems. This course teaches you how to implement Quality Assurance (QA) and Quality Control (QC) practices specifically for software development - using modern workflows and AI-powered tools. Whether you're building a startup web app or developing a high-risk fintech system, QAQC is essential to prevent bugs, reduce security risks, and deliver software with confidence. What You'll Learn By the end of this course, you will • Understand the difference between Quality Assurance and Quality Control in coding • Design QAQC processes for real-world software projects • Implement testing strategies, including unit, integration, regression, and security testing • Apply code review and pull request best practices • Use AI tools like GitHub Copilot for early-stage quality support • Use static analysis tools to detect vulnerabilities and code smells • Build CI/CD pipelines that enforce automated quality checks • Scale QAQC practices based on project risk level • Reduce bugs in production and improve deployment confidence Tools & Technologies Covered • GitHub Copilot • Static analysis tools (e.g., Snyk, SonarQube concepts) • Automated testing frameworks • CI/CD quality gates • Secure coding practices • AI-assisted test generation No advanced AI knowledge required - everything is explained clearly and practically. Who this course is for Programming students Coders Developers Project managers |
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