Practice the work.
Build your next career.
Start with a short workplace challenge and a simple learning-level suggestion. No signup or contact details needed. Explore practical learning for your first job, a career change, or professional growth.
Try a free challengeExplore career pathsIntroductory practice is available now. The planned founding pilot is free for six weeks with 20 active seats. Guided enrollment and live counseling are not open yet; there is no automatic paid conversion.
Explore now.
Guided projects next.
Try a guided scenario and untimed starting assessment. The pilot will combine independent practice, live workshops and human-reviewed project evidence. Learner accounts, automated cloud labs and placement submissions are not connected.
Learn by doing
the actual work.
Explore example scenarios. This preview helps you plan a learning path; it does not launch a lab or register an account.
This download is prepared locally. Your interest is not submitted or saved to a learner account.
From a career goal
to demonstrated ability.
Start with a skills assessment, practice realistic tasks and show what you can do independently.
1. Choose & practice
Choose a role, assess your starting point and follow a personal plan with AI coaching and realistic scenario assignments.
2. Demonstrate & document
Complete independent challenges, receive feedback and build a portfolio of verified work. Ambiguous assessments receive qualified review.
3. Prepare for opportunities
With your consent, share your readiness evidence with the placement assistance team for resume support, interview preparation and suitable opportunities.
Course completion does not guarantee employment. Skilled-trade practical competency requires supervised physical work beyond digital exercises.
Personal guidance.
Resources when you need them.
Learning & assessment
AI coaching, adaptive assignments and feedback, supported by objective checks and qualified reviewers.
Lab capacity & costs
Temporary isolated lab environments, usage allowances, idle shutdown and cleanup. Capacity scales with demand within configured limits.
Growth & placement
Campaign preparation, onboarding and completion workflows. Advertising spend, consequential actions and placement decisions follow defined controls.
These capabilities describe the intended platform. AI services and autoscaling lab infrastructure are not deployed.
Internal training.
Working sessions.
MarsTech deployment supports internal training and working sessions. Existing exercises use synthetic data and run locally; the catalog below does not launch hosted labs.
Evidence to produce
Learn safely.
Deliver deliberately.
Company operations, release staging, training labs and client work each have their own access and data boundary. Federal environments are scoped separately.
Private projects, campaigns, assets and approvals.
Synthetic records, temporary resources and mentor review.
Reusable templates deployed within each client’s own boundary.
Use the platform
the work requires.
Azure & AWS
Plan environment boundaries, identity, secrets, monitoring and repeatable releases.
Google Cloud & on-premises
Apply the same operating requirements to project-based cloud environments and isolated infrastructure.
Digital & Media
Organize briefs, production tasks, review, publishing responsibilities and results alongside technology delivery.
Cohorts, learner accounts and cloud sessions are not open yet. Local exercises are available in the delivery foundation. Training does not guarantee placement.
Discuss a learning pathway