EvoMind
ArchitectAdvanced

MLOps & Production AI Infrastructure

Model serving, monitoring, A/B testing, feature stores, data pipelines. Keep AI systems alive in production. This architect track is structured for adult learners who need practical, career-relevant depth without academic abstraction. Delivered as a live experience, the course combines guided milestones, implementation reviews, and applied exercises aligned with modern AI, engineering, and technical leadership work.

Price

$6,800

Tax included

Duration

10 weeks

Format

Live

Instructor

Tessa Grant

MLOps & Production AI Infrastructure

Model serving, monitoring, A/B testing, feature stores, data pipelines. Keep AI systems alive in production.

Download Syllabus PDF

Course Plan

Syllabus

Define the systems, roles, and metrics that support reliable AI in production.

  • Lifecycle management
  • Release strategy
  • Platform roles

Outcomes

Deploy and serve models with stable, observable production workflows.
Monitor data drift, performance, and system reliability over time.
Use experimentation and release controls for safer AI rollouts.
Design infrastructure that keeps ML systems maintainable under change.

Includes

  • • 10 live weeks with platform labs and release process walkthroughs.
  • • Serving, monitoring, and feature pipeline reference implementations.
  • • Experimentation and model governance templates.
  • • Case studies covering model degradation and operational recovery.
Tessa Grant

Instructor

Tessa Grant

Tessa specializes in the operational side of AI, turning promising models into reliable services with measurable business outcomes.

Enrollment

Begin with a pending enrollment and receive your payment memo code instantly.