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DataCamp

Advanced AI-Assisted Coding for Developers

via DataCamp

Overview

Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.

AI coding assistants can do far more than write code. In this course, you'll learn to use them for the full spectrum of software engineering work. Starting with production code analysis and performance optimization, you'll move on to AI-assisted testing, security vulnerability detection, and dependency management. Then you'll apply AI to higher-level challenges: designing configuration-driven architectures, optimizing database schemas and queries, and building effective human-AI collaboration workflows. The course focuses on tool-agnostic principles and prompting strategies that work across any AI assistant, so the skills you gain apply no matter which tools you use.

Syllabus

  • Analyzing and Optimizing Code
    • Explore AI-assisted techniques for understanding production code, identifying bottlenecks, and optimizing data structures for better performance.
  • Testing, Security, and Dependencies
    • Learn to use AI for building test suites, conducting security reviews, and managing dependencies in production codebases.
  • Architecture, Databases, and Collaboration
    • Apply AI to configuration-driven design, database schema mapping and query optimization, and collaborative development workflows.

Taught by

Thalia Barrera

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