Built the way working professionals actually learn.
Self-paced content when your schedule is tight, live instructor sessions evenings and weekends, and real projects the whole way through.
Evidence of learning
Artifacts, not just certificates.
Employers want proof of applied skill. Students build hands-on projects that mirror real workplace challenges and, with instructor guidance, assemble a professional GitHub portfolio: a living collection of evidence including coding assignments, data dashboards, cloud deployments, campaign systems, and prompt libraries.
By graduation every student has a portfolio of real, instructor-supported work they can walk through in interviews. The artifacts you build in the program are the same kinds of artifacts you'll produce on the job.
What you'll walk away with
Portfolio artifacts by program.
| Program | Portfolio artifacts |
|---|---|
| Data Analytics | Excel analyses, SQL queries, Python scripts, Power BI dashboards, business case studies |
| AI & ML Engineering | ML models, Jupyter notebooks, AI applications, model evaluation reports |
| AI-Augmented Digital Marketing | Brand voice systems, SEO/GEO audits, paid media campaign briefs, lifecycle automation blueprints, capstone AI-first marketing strategy deck |
| Gen AI for Finance | Three-category prompt library, audit-ready AI workflows, graded scenario projects, live capstone presentation |
How it fits your week
A blend that respects your calendar.
Self-paced core
Structured modules you complete on your own schedule, with clear weekly targets.
Live sessions
Instructor-led classes typically held evenings and weekends, built for people with day jobs.
Real projects
Project-based hours in every flagship program, graded and reviewed by instructors.
Mentors on call
Questions get answered by people, in sessions and between them.