Structured motion AI learning from foundations to enterprise certification
Six modules — MMC-101 through MMC-601 — priced in Singapore dollars. Lab sessions at Alice@Mediapolis with pathways across our five perception channels.
Programme fees are indicative tiers in S$ and exclude hardware procurement, cloud inference spend and applicable GST unless stated in your enrolment letter. Outcomes depend on team readiness and deployment context. MindMotion Co does not guarantee specific accuracy rates or autonomy levels — competencies are assessed against published module criteria.
MMC-101
Computer Vision Foundations
Vision session · foundations lab
MMC-101 builds the perceptual baseline your robotics and manufacturing teams need before any production deployment. We cover camera intrinsics, lens distortion, exposure control under variable factory lighting, and annotation strategies that reduce labelling cost without sacrificing model robustness. Participants work with real sensor rigs in our Alice@Mediapolis lab, calibrating multi-camera setups and evaluating detection metrics on domain-specific datasets. The module maps directly to our Perceive channel and prepares engineers for MMC-201 integration work. Suitable for developers with Python familiarity and basic linear algebra. Includes lab access, course materials and a competency checklist for managers.
MMC-201 bridges computer vision outputs to robot control stacks. Teams provision a robotics sandbox, publish perception topics to ROS 2, and validate end-effector tracking under simulated load conditions. We cover safety interlocks, latency budgeting and failure modes when inference drops below agreed thresholds. Hands-on sessions include pick-and-place scenarios, mobile platform odometry fusion and integration checkpoints with manufacturing execution systems. Graduates leave with documented sandbox configurations and a cutover readiness checklist. Prerequisites: MMC-101 or equivalent experience. Maps to Track and Embody channels.
MMC-401 compresses digital human delivery into a focused sprint for experiential, training and broadcast-adjacent prototypes. Teams capture facial performance, retarget motion to avatar rigs, and integrate real-time control with consent workflows and representation guidelines. We address uncanny valley risks, latency for live demos and asset versioning for iterative creative review. Synthesis pipelines generate supplementary training data where ethically appropriate. Outputs include a documented pipeline diagram, consent templates and a demo reel suitable for stakeholder review. Maps to Synthesise and Embody channels.
MMC-501 is for product owners, compliance reviewers and senior engineers accountable for vision system governance. We workshop lawful basis under PDPA 2012, biometric processing boundaries, incident escalation and third-party vendor due diligence. Case studies draw from Singapore manufacturing and public-facing installations. Participants produce a governance framework draft aligned to their organisation's risk appetite — including retention schedules, access controls and human oversight triggers. No deep coding required; technical stakeholders join for architecture segments.
MMC-601 certifies that your delivery squad can operate MindMotion Co perception and motion stacks independently with audit-ready documentation. Capstone project simulates a full engagement: discovery, sandbox, sprint, validation and cutover. Assessors evaluate engineering quality, governance completeness and operational runbooks. Successful teams receive enterprise certification valid for procurement reference through 2026 and priority access to company success review scheduling. Recommended for organisations scaling beyond pilot to multi-site deployment.
