After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
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.
Feels like what you want to learn?
Start Course for FreeWhat 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
Prerequisites
Curriculum
Course outline
1
Analyzing and Optimizing Code
Explore AI-assisted techniques for understanding production code, identifying bottlenecks, and optimizing data structures for better performance.
- Analyzing production code with AI50 XP
- Structuring your AI prompt100 XP
- Building effective prompts for code analysis50 XP
- Profiling time performance with AI50 XP
- The AI-assisted optimization cycle100 XP
- Interpreting profiler output50 XP
- Validating AI-suggested changes100 XP
- Optimizing memory usage with AI50 XP
- From symptoms to solutions100 XP
- Exploring memory allocations50 XP
- Evaluating AI optimization suggestions50 XP
2
Testing, Security, and Dependencies
Learn to use AI for building test suites, conducting security reviews, and managing dependencies in production codebases.
3
Architecture, Databases, and Collaboration
Apply AI to configuration-driven design, database schema mapping and query optimization, and collaborative development workflows.
Advanced AI-Assisted Coding for Developers
Course
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