MLOps Training Courses - Kenya
(4 feedbacks)
Online or onsite, instructor-led live MLOps training courses demonstrate through interactive hands-on practice how to use MLOps tools to automate and optimize the deployment and maintenance of ML systems in production.
MLOps training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live MLOps trainings in Kenya can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Explore Our Courses
MLOps: CI/CD for Machine Learning
35 hours
Kubeflow on AWS
28 hours
Kubeflow on Azure
28 hours
Kubeflow on GCP
28 hours
Kubeflow on IBM Cloud
28 hours
Kubeflow
35 hours
Kubeflow on OpenShift
28 hours
Kubeflow Fundamentals
28 hours
MLflow
21 hours
Testimonials
I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.
Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life™
Adjusting to our needs
Sumitomo Mitsui Finance and Leasing Company, Limited
Very very competent trainer who know how to adapt to his audience, and to solve problems Interactive presentation
OLEA MEDICAL
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose