Advanced Prompt Engineering for Coders
Learn how to engineer reliable, structured, and production-ready prompts for coding workflows, AI-assisted development, debugging, code generation, tool use, agents, evaluation, and secure software engineering.
Prerequisites: Intermediate programming knowledge and familiarity with APIs, Git, software development workflows, and at least one programming language
What you'll learn
- Write precise prompts for implementation, refactoring, tests, documentation, and code review.
- Select and organize codebase context for complex development tasks.
- Use systematic prompts for debugging, root-cause analysis, and test planning.
- Build multi-step coding workflows with structured outputs, tools, and agents.
- Evaluate prompt quality, mitigate prompt injection risks, and optimize production prompt systems.
Roadmap
Course Curriculum Overview
Progression: AI → ML → Deep Learning → Gen AI → LLMs → Prompting → Modern AI
Enroll to unlockPrompt Engineering Foundations
Learn how to design precise prompts for coding tasks by controlling context, instructions, constraints, assumptions, and expected outputs.
Coding Prompts
Learn how to prompt AI for implementation, refactoring, architecture changes, tests, documentation, and code review with precise engineering constraints.
Context Engineering
Learn how to select, organize, compress, and prioritize codebase context so AI models can reason effectively about complex software systems.
AI Debugging
Learn how to construct diagnostic prompts that make AI investigate bugs systematically instead of guessing at fixes.
Structured AI Workflows
Learn how prompts can control structured outputs and coordinate AI with tools, APIs, functions, and multi-step software workflows.
Evaluation & Security
Learn how to evaluate prompt quality systematically, detect failures, defend against prompt injection, manage cost, and improve prompts using measurable results.
Final Assessment
Complete all modules to unlock.