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Advanced AI-Assisted Coding for Developers

AdvancedSkill Level
4.9+
21 reviews
Updated 05/2026
Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.
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TheoryArtificial Intelligence
1 hr 30 min
10 videos
32 Exercises
2,000 XP
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Course Description

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.

What you'll learn

  • Analyze unfamiliar codebases using structured AI prompts with clear context, goals, and expected output
  • Optimize code performance by sharing profiler evidence with AI and evaluating its suggestions critically
  • Strengthen testing and security practices using AI-assisted test generation, coverage analysis, and vulnerability detection
  • Design maintainable software architecture with AI, from configuration management to database optimization
  • Collaborate with AI as a development partner for code reviews, refactoring, and documentation

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Prerequisites

AI-Assisted Coding for Developers
1

Analyzing and Optimizing Code

Explore AI-assisted techniques for understanding production code, identifying bottlenecks, and optimizing data structures for better performance.
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2

Testing, Security, and Dependencies

Learn to use AI for building test suites, conducting security reviews, and managing dependencies in production codebases.
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Advanced AI-Assisted Coding for Developers
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Don’t just take our word for it

*4.9
from 21 reviews
90%
10%
0%
0%
0%
  • Sylvia
    yesterday

  • Marcela
    3 days ago

  • Kurt
    6 days ago

  • Yassin
    last week

  • Kong Ming
    2 weeks ago

    Useful tips to work with AI to develop code.

  • Adrien
    3 weeks ago

Sylvia

Marcela

Kurt

FAQs

Is this course tied to a specific AI coding tool like GitHub Copilot or ChatGPT?

No, the course focuses on tool-agnostic principles and prompting strategies that work across any AI coding assistant, so the skills apply regardless of which tool you use.

What advanced tasks beyond code generation does this course cover?

You will learn to use AI assistants for performance optimization, security vulnerability detection, test suite creation, dependency management, database schema design, and architecture planning.

Do I need prior experience using AI coding assistants?

Yes, AI-Assisted Coding for Developers is a prerequisite. This course builds on that foundation with more advanced software engineering applications.

How long does this course take to complete?

The course has 3 chapters with 38 exercises and takes roughly 90 minutes of content. Most learners finish in under an hour of active time.

Does the course cover AI-assisted database optimization?

Yes, Chapter 3 teaches you to use AI for database schema mapping, query optimization, and designing configuration-driven architectures for production applications.

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