2-Day Instructor-Led Programme
Learn how to track experiments, manage models, and deploy ML systems using MLflow workflows. This mentor-led course uses practical scenarios to implement reproducible and production-ready ML pipelines.
Duration
2 Days
Price
$1,799
Managing machine learning experiments and deploying models reliably requires structured workflows and tooling. MLflow has become a widely adopted platform for tracking experiments, packaging models, and managing the ML lifecycle across teams.
This mentor-led programme introduces the core components of MLflow, including experiment tracking, model registry, and deployment workflows. Participants learn how to manage experiments, compare results, version models, and prepare them for production environments.
Through practical scenarios, learners implement MLflow pipelines that support reproducibility, collaboration, and deployment. By the end of the course, participants will understand how to use MLflow to manage the full lifecycle of machine learning systems in real-world environments.
Track experiments and deploy a model using MLflow workflows and registry features.
Mentor-led sessions exploring real MLflow pipelines and production use cases.
Manage ML experiments and model lifecycle using MLflow.
Design MLflow-based ML lifecycle workflows
Analyse experiment tracking strategies
Implement model packaging and versioning
Evaluate model performance across experiments
Communicate ML workflow decisions
Lead MLflow adoption for production ML
Basic understanding of machine learning concepts
Familiarity with Python programming
Experience with basic data workflows
Step-by-step learning journey from basics to professional practice
Master these in-demand skills through hands-on practice
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Choose the learning format that works best for you and your team
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Everything you need to know about the certification exams
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
On successful completion of MLflow for Production ML, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Everything you need to know about this course
MLflow is used to track experiments, manage models, and support deployment workflows in machine learning projects.
Take the next step in your professional development
