{% extends "ai/base_ai.html" %} {% block title %}MLOps workshop{% endblock %} {% block meta_description %} Accelerate your AI/ML projects with the MLOps workshop hosted by Canonical open source experts. {% endblock %} {% block meta_copydoc %} https://docs.google.com/document/d/1g06uHWdy2ohYq-tKCEsdlD2EohZQ8OHSWO3i8U5vUDc/edit {% endblock meta_copydoc %} {% block body_class %} is-paper {% endblock body_class %} {% from "_macros/vf_hero.jinja" import vf_hero %} {% block content %} {%- call(slot) vf_hero( title_text="Accelerate your AI/ML projects with an MLOps workshop", layout='50/50', is_split_on_medium="true" ) -%} {%- if slot == 'description' -%}
Build your tailored MLOps architecture in just 5 days. Our workshop will help you design AI infrastructure for any use case – from the data center to the edge. Accelerate and scale your AI/ML initiatives, optimize resource usage and elevate your in-house expertise.
{%- endif -%} {%- if slot == 'cta' -%} Contact the team Download the datasheet › {%- endif -%} {%- if slot == 'image' -%} {%- endif -%} {%- endcall -%}We will work with you to build high-level and low-level architecture based on your existing infrastructure for your AI/ML projects, using only open source tooling.
You can expect:
Spend 5 days on site with Canonical experts who will help upskill your team and solve the most pressing problems related to MLOps and AI/ML.
Optimize your existing infrastructure to maximize efficiency and performance for your AI/ML workloads. Learn about:
Open source migrations
Build a migration plan to move your infrastructure to open source solutions to enable a long term strategy.
MLOps architecture design
Discover infrastructure options, MLOps processes and tools to make informed decisions about your stack.
Resource optimization
Stop underutilizing your compute power and learn how to optimize your resources across all layers of the stack.
Edge AI
Develop Edge AI architecture to efficiently run and maintain your models on a variety of devices.
You can also customize these workshops based on your needs, or even build your own bespoke agenda by selecting the topics that are most valuable for your organization.
Your MLOps workshop is delivered by Canonical's MLOps field engineering team, a team of experts trained to architect, design and deploy AI infrastructure at all scales, across industries.
From GenAI use cases to AI sovereign clouds, the team has experience in building solutions in partnership with our customers.
Explore how Canonical delivered significant cost-savings in moving away from licensed providers and proprietary solutions.
Read how the University of Tasmania migrated from a legacy platform to Canonical MLOps and reduced their operational costs.
Learn more about the key considerations, opportunities and common pitfalls of managing AI infrastructure.