Technical AI and engineering pathways
TECH-196 months
AI Product Engineering and Full-Stack Development
A six-month product engineering pathway covering front-end and back-end development, databases, APIs, GitHub workflows, testing, deployment, AI-assisted coding, model/API integration, and portfolio-ready intelligent product builds.
- Who it's for
- Learners preparing for software engineering roles, workforce cohorts, technical upskilling programs, and institutions building AI-enabled developer pathways.
- Problem it solves
- Modern software programs need to teach full-stack engineering alongside AI-assisted development, API integration, and intelligent product patterns.
Course profile
Problem solved
Curriculum that turns interest into usable capability.
Modern software programs need to teach full-stack engineering alongside AI-assisted development, API integration, and intelligent product patterns.
What learners produce
Artifacts that can be inspected, coached, and improved.
- Full-stack app
- AI feature integration
- Tested repository
- Deployed portfolio project
Why license it
Built for delivery, adaptation, and local relevance.
- AI engineering bootcamp
- Software pathway modernization
- Employer pipeline program
- University or workforce certificate
Course architecture
What the course covers.
Each LevelUp course combines practical instruction, guided application, and evidence of learning that partners can adapt to local economic priorities.
Module 01
Front-end and UX foundations
Module 02
Back-end, databases, and APIs
Module 03
AI-assisted coding and model/API integration
Module 04
Testing, deployment, and product portfolio
Learning outcomes
What participants can do afterwards.
- Build full-stack applications
- Integrate AI APIs and model-driven features
- Use GitHub, testing, and deployment workflows
- Ship portfolio-ready AI product builds
Bring this course to your community
License, adapt, or embed this curriculum inside a broader talent system.
LevelUp can support curriculum licensing, instructor enablement, partner delivery design, and employer-aligned implementation planning.