Learning Pathway
Learn to connect business needs with practical AI implementation.
Explore the skills involved in understanding a workflow, shaping a solution, connecting systems, testing results, and helping people use what gets built.
What is Forward Deployment Engineering?
This pathway focuses on working close to the people who use a system: understanding their needs, translating those needs into technical work, and supporting implementation and adoption. Employers also use the title “Forward Deployed Engineer” for related roles.
Intended for: Technical professionals, operators, and builders who work between business teams and systems.
The workflow comes before the tool.
A useful solution starts with the problem, the people involved, the information available, and the constraints that matter.
Implementation requires more than a demo.
Testing, reliability, permissions, documentation, and adoption are part of the skill set—not optional afterthoughts.
Proposed skill themes
- Discovery and process mapping
- Technical scoping
- Data and API integration
- AI-enabled application concepts
- Testing and evaluation
- Permissions and human review
- Deployment fundamentals
- Monitoring
- Documentation
- User adoption
What practice could look like
Examples of skills this pathway may cover; check each offering for its confirmed curriculum.
Workflow requirements brief
Prototype with evaluation checklist
Integration plan and handoff guide
Prerequisites
Introductory offerings and advanced technical offerings serve different learners. Production-focused work may require programming, APIs, databases, and software-development experience. Each offering publishes its own prerequisites.
Offerings in this pathway award a Denver Skills Academy certificate of completion. It recognizes completed learning—it is not a license, degree, or industry certification.
Learn to make AI useful where the work actually happens.
Published offerings will appear here as details are confirmed. Join the interest list for updates.