Prompt Engineering
Prompt Systems for Engineering Managers
A management-oriented bootcamp for turning ad hoc prompts into reusable operating assets.
₩5,200,000 · 10 days · Live remote
Program description
Managers and tech leads learn how to specify context, constraints, acceptance criteria, and review loops so prompts support planning and implementation. The program produces templates for sprint planning, incident analysis, and technical decisions.
Best fit: 4-10 people, beginner level, focused on planning and documentation.
Responsible lead
Alex Kim
Curriculum Strategist who designs applied AI learning paths for software organizations.
Included features
- Prompt anatomy for engineering work
- Context packet templates
- Acceptance criteria drills
- Architecture decision prompt patterns
- Sprint and incident prompt packs
Implementation outcomes
- Reusable manager prompt packets
- Better review criteria for AI-assisted work
- A template library owned by the team
Questions teams ask
Can we use our own repository and workflow data?
Yes. Teams can bring sanitized examples, internal process notes, or non-sensitive pull requests. We do not require access to production systems.
What is not included?
The bootcamp does not replace security review, legal review, or procurement approval for a new AI vendor. It gives your team the working practices and rollout artifacts to support those decisions.
How much engineering time is expected?
Most teams reserve two half-days for live sessions and three to five hours for implementation labs between sessions.
Participant notes
The context packet format became a lightweight standard for our leads. It was refreshingly specific about where prompts fail.
Hana K., B2B platform group