COURSE INTENT
Understand it. Practice it. Put it to work.
Design practical engineering workflows around coding agents, strong context, and human verification. The course brings concepts together with applied activities and projects so learners can connect what they know to meaningful work.
WHY THIS MATTERS AT WORK
Take more confidence into the next decision.
Learn to give AI tools useful context, break work into verifiable steps, and keep engineering judgment in the loop. The value is a more deliberate workflow, not simply faster code generation.
IS THIS COURSE FOR YOU?
Who it is designed to help.
- Software engineers exploring AI-assisted delivery
- Technical leads shaping team workflows
- Developers who want a repeatable way to verify agent output
Before you begin
Comfort with software development and reading code. This is an intermediate course, so it is not positioned as a first programming class.
Learning experience
A guided route through agent context, specifications, tools, implementation, testing, security, and a practical project on ValidBridge.
LEARNING OUTCOMES
- Structure work so AI tools can act with useful context.
- Turn requirements into verifiable specifications.
- Build, test, review, and secure AI-assisted software.
CURRICULUM PREVIEW
A route through the subject.
- 01The shift to AI-native engineering
- 02Context and tool design
- 03From specifications to working software
- 04Testing, security, and review
PROJECTS & PRACTICAL ACTIVITIES
Make the ideas tangible.
Design a reusable agent workflow
Context engineering lab
Agent tool-selection exercise
COMMON QUESTIONS
Before you begin.
Do I need software experience?+
Some programming and software development experience will help you get the most from the applied exercises.
Does the course require a specific AI provider?+
The material focuses on transferable workflow and verification practices. Tool requirements are provided with the course.
MC
YOUR INSTRUCTOR
Maya Chen
Builds production AI systems and helps engineering teams adopt them with care. Her teaching connects system design to decisions made in a real codebase.
View instructor profile