MLOps Community has a free Slack group for people working in machine learning operations. They also host regular events and provide resources to members.
It's completely free to join the Slack group and there are no requirements. Inside, you will find over 10,500 machine learning operations experts from all over the world. It's a great place to ask questions, get career-related advice, and find like-minded peers.
Additionally, the community hosts regular events every week. On the one hand, there are "coffee sessions" which are casual talks between a host and a special guest. Members can watch the live stream and leave comments, but not participate. On the other hand, the MLOps Community also organizes meetups. These can be both virtual or in-person and feature an industry expert who gives a talk to attendees. Meetups are great not only to deepen your knowledge but also to connect with other members.
Moreover, you can leverage the community's resources to learn more about machine learning operations. There are several categories to find info about. Each one includes a selection of blog posts, a comparison between available solutions in the market, and criteria to choose the best solution. Furthermore, you can leverage the MLOps Community podcast, newsletter, and recordings of past events to get even more relevant information.
Lastly, make sure to check the MLOps Community job board if you are looking to land a new position at an exciting company!
Find like-minded peers:
With the MLOps Community Slack group and meetups, you will be able to connect with other machine learning operations peers from all over the world to exchange advice and bounce off ideas.
Participate in regular events:
The community hosts events every week. Meetups can be both virtual and in-person, and coffee sessions are exclusively virtual. Both events feature some special guests and are a great opportunity to connect with other MLOps members.
Get deeper knowledge:
On the community's website, you will find a learning hub with relevant information in different categories. You can also leverage the MLOps Community podcast, newsletter, and recordings of past events.
The MLOps Community gathers roughly once a week in virtual or in-person meetups. These meetups feature a special guest and expert in the field, who gives attendees a talk about a specific topic related to machine learning operations. If you couldn't attend a meetup, you can always catch up by watching the recording on the community's website or YouTube channel.
Besides the meetups, where industry experts give interesting talks to attendees, you can also watch the community's "coffee sessions". These events also include a special guest, but they are more casual talks between the host and the guest. Another difference with meetups is that members can only watch the live stream and leave comments, but not attend. Similar to meetups, you can also watch the recordings of past coffee sessions on the MLOps Community website or YouTube channel.
Make sure to check out the schedule to know what the next meetups and coffee sessions will be!
Members of MLOps interact in a Slack group. Inside, there are five channels to organize discussions:
Inside the Slack group, there are over 10,500 members from all over the world. It's a fantastic place to ask questions, request advice, and share knowledge with peers. You will be able to meet like-minded machine learning operations experts and bounce off ideas. Additionally, members are constantly sharing not only relevant events for developers and engineers working in this specific field but also useful resources and links.
Besides the resources shared by members in the Slack group, the community has a learning section on the website. It includes relevant information on the following topics: metadata storage and management, feature store comparison and evaluation, and machine learning monitoring. Each category includes a "What is...?" section with posts from the blog, a comparison section with available solutions in the market, and criteria to choose a solution in that specific category.
Additionally, you can leverage the community's podcast, newsletter, and recordings of past events to get even more knowledge on machine learning operations.