Hands-On Training for ClearML Users
Get officially certified. ClearML and Alta3 join forces to offer training, labs, and certifications for devops, sys admins, infrastructure engineers, AI/ML engineers, and data scientists.
ClearML has partnered with Alta3 Research, an industry-leading technical training provider, to deliver hands-on training and certification programs tailored for every role in the AI/ML lifecycle. These courses offer practical, job-ready skills through immersive labs, real-world scenarios, and certification exams.
Whether your team focuses on application development, experimentation, model deployment, or infrastructure operations, there’s a learning path designed for you.
Available Courses
Alta3 currently has 5 ClearML courses available for AI team members:
All courses are available in the following formats:
- Open Enrollment – Instructor led, delivered virtually
- Private Virtual delivery
- Private Onsite delivery
ClearML Infrastructure Engineer Certification
A deep, scenario-driven course modeled after the rigor of CKA-style training. Learn to deploy, scale, harden, and operate ClearML across Kubernetes, cloud, and bare-metal environments. You’ll configure and monitor agents and queues, run GPU-backed workloads on A10/A100/H100 hardware, implement Kubernetes autoscaling and MIG profiles, and integrate Hugging Face models with ClearML Serving. The course also covers production essentials: upgrades, backup/restore, incident response, multi-tenancy, SSO, RBAC, and observability tooling.
Who should take this course:
- Infrastructure Engineers
- SREs
- Platform Engineers
- DevOps Engineers
- IT Teams running AI systems
| Days | Start Date | End Date | Start Time | End Time | Time Zone | |
|---|---|---|---|---|---|---|
| ClearML Infrastructure Engineer | 5 | 2/23/2026 | 2/27/2026 | 10:00 AM | 6:00 PM | ET |
| ClearML Infrastructure Engineer | 5 | 3/23/2026 | 3/27/2026 | 10:00 AM | 6:00 PM | ET |
| ClearML Infrastructure Engineer | 5 | 4/27/2026 | 5/1/2026 | 10:00 AM | 6:00 PM | ET |
| ClearML Infrastructure Engineer | 5 | 5/18/2026 | 5/22/2026 | 10:00 AM | 6:00 PM | ET |
| ClearML Infrastructure Engineer | 5 | 6/22/2026 | 6/26/2026 | 10:00 AM | 6:00 PM | ET |
ClearML ML Engineer Certification
Learn to operationalize and scale AI pipelines using ClearML’s production orchestration tools. You’ll build automated pipelines with ClearML Pipelines and Agents, integrate with CI/CD systems, and scale GPU workloads across queues and distributed agents. The course covers deploying, monitoring, and optimizing live inference systems, detecting and mitigating model drift, and using model governance for compliance and auditability. You’ll also learn to collaborate effectively with data science and developer teams.
Who should take this course:
- Systems Administrators
- ML Engineers
- Data Engineers
- DevOps Engineers
- AI Platform Specialists
ClearML System Administrator Certification
A practical, hands-on course for administrators responsible for deploying, securing, and managing multi-tenant ClearML environments. You’ll learn ClearML’s core architecture—servers, agents, queues, and stores—and manage users, groups, RBAC, and multi-tenant configurations. The course covers integrating identity providers (OIDC, SSO, SAML), configuring and troubleshooting queues, agents, and task flows, and deploying monitoring with Prometheus and Grafana. You’ll also handle Day-2 operations, upgrades, and common support issues.
Who should take this course:
- Systems Administrators
- DevOps Engineers
- IT Administrators
- Platform Operators
ClearML Developer Certification
Build and integrate AI-powered features into real applications using ClearML Serving and SDK APIs. You’ll deploy and consume ML models through ClearML Serving APIs, integrate ML endpoints into web and mobile apps using Flask, FastAPI, and other frameworks, and collaborate across data science and ML engineering teams. The course covers versioning, governance, model updates, authentication, error handling, and optimization best practices. The capstone project has you building a complete end-to-end application.
Who should take this course:
- Software Developers
- Full-Stack Engineers
- Application Engineers
- DevSecOps Engineers
ClearML Data Scientist Certification
Master reproducible experimentation, dataset management, drift detection, and production-ready model handoff. You’ll log, track, and compare experiments with full artifact capture, version datasets and analyze drift, and perform feature engineering and model interpretability using SHAP and other tools. The course covers preparing clean production handoffs using governance tools and model cards, plus troubleshooting missing artifacts and inconsistent experiments. The capstone project has you building a complete forecasting solution.
Who should take this course:
- Data Scientists
- ML Researchers
- Data Analysts
- AI Practitioners
Private Training
Need training for your team? Alta3 offers private virtual or on-site sessions tailored to your organization’s environment, workflows, and skill levels. Get in touch, and Alta3 can help onboard a new team or upskill experienced engineers with private training that delivers focused, hands-on instruction with personalized attention.
Get in Touch
Interested in learning more about a course or requesting private training?
Send us your contact information, and we will get back to you.
