MLOps Club

If you're an aspiring AI engineer, listen up... There are 2 basic skills you must master before touching any ML model: ??. ?????????????????????? (Python is a good start) ??. ?????????? ?????????????????????? Without these skills, you will not even be able to deploy or scale your AI/ML models effectively in production. Fortunately, ?? Eric Riddoch noticed this problem and filled the need - Enter ?????????? ?????????????????????? ?????? ???????????? ???????????????????? live course. I’ve had the pleasure of knowing Eric for almost a year, and I can confidently say he’s a brilliant cloud, DevOps, and MLOps engineer. He’s also an incredible teacher with a knack for making complex topics approachable and fun to learn. Here’s what you’ll learn in the course: - Enterprise-level AWS account management - Fundamentals of cloud engineering - Designing cloud-native RESTful APIs that scale from 4 to 4 million requests/day - Writing, testing, locally mocking, and deploying code using AWS SDK and OpenAI - Advanced observability and monitoring techniques: Logs, metrics, traces, and alerts If you're concerned that the course is not with your desired cloud vendor, don't worry... The principles learned during the course can easily be transferred to other platforms (e.g., GCP and Azure) I strongly recommend this course to anyone looking to lay the foundation for a career in AI, ML, and MLOps engineering. The next cohort starts on March 31st and runs until May 16th! Using the code DECODINGML will get you 10% off your registration. And if that's not enough, Eric offers a scholarship program that can significantly reduce the price - depending on your use case. Check out the link in the comments to enroll.

Come join us in (possibly the last) cohort of our Python/AWS bootcamp. Fun: we'll have Maria Vechtomova joining us as a student this cohort. --- Authoring this course and working with students has been a blast. If you 100% this course, I can promise you will become - the most up-to-date person with AWS on your team - often times, the most advanced AWS user on your team (best practices) I feel especially confident making that guarantee thanks to the section on observability. I have met very few engineers that have set up an observability framework from scratch. A big part of this (and other good practices that aren't followed) is teams often are not budgeted sufficient time to learn and set this up. So if you can crank out tests, deployments, security, monitoring, etc. that's a phenomenal value add to most teams. --- If you're job searching or are a student, be sure to apply for a scholarship. Hope to see you there! Also, DM me if you want to join our demo day tomorrow morning. [edit] I’m in bed now. So message Amit Vikram Raj ??. It’ll be 9-10:30am MDT. He’ll need your email to send you the invite

Every #Python developer should switch to uv! Which means everyone in the #data and #AI space. Come to the Q&A session tomorrow at 16:00 CET (or 9:00 MDT) with me and ?? Eric Riddoch, chat about the Python tooling, MLOps, and other stuff. We do not do it often, so do not miss the opportunity: https://lnkd.in/eBrtuQAr. It is just a Google Meet link that you can join directly! We will upload the recordings to YouTube later!

Update: we're running a March 31 cohort of the Python/AWS bootcamp, and we're trying to fill it up ?? Do you mind sharing this with friends/teammates you think would benefit from this? I genuinely believe this is the best course on the internet for Python developers to learn to take software to production on AWS. It will shortcut years of trial and error. - weekly 2-hour live classes with Q&A - 4 dedicated TA's / instructor; utilize us - 29 hours of lectures spread across 7 weeks - personalized guidance planning and building your own project - network of awesome classmates-- current and former students - optional demo day to present a solo- or group project to senior engineers working at several companies Of 57 students, we've gotten 2 refund requests ever. 1 should have been on scholarship so we transferred them. Scholarships are available for students and folks who have been laid off. If you want to take it with a friend or teammate, DM me or Amit Vikram Raj and we can give you guys a discount. You can get an additional discount by completing as much of our prep course "Taking Python to Production". It's a bestseller on Udemy. [edit] Sorry. Apparently Udemy only lets me create 3 discount links per month and I already used them up for march so I can't make more. I have one that makes it $13. If you end up taking the cloud course I'll add that to the discount as well.

I'm thrilled to share that I've joined the MLOps Club team as an AWS/Python Teaching Assistant! The dedication of instructors ?? Eric Riddoch and Amit Vikram Raj has been truly inspiring—their passion for MLOps is contagious, and they go above and beyond to ensure students succeed. If you're looking to become industry-ready in MLOps, I highly recommend MLOps Club. I'm so excited to be a part of this journey! Check out https://mlops-club.org/ for more info! Feel free to reach out if you’d like to learn more about the course!?

Super excited to be joining MLOps Club as an Instructor! I have been following (and learning a TON from) ?? Eric Riddoch and Amit Vikram Raj and I am beyond excited & humbled I get to join them in helping ML Engineers confidently deploy models to the cloud and master MLOps! And yes, I had to formally declare my allegiance to the uv package manager and vow to never speak of pip in polite company again. ???? Check out our course offerings at: https://mlops-club.org/ and feel free to DM me if you’ve got any questions!

Putting this out there: we've decided to start cohort 5 of our Python/AWS bootcamp on March 31st. (mlops-club.org) That's ~3 weeks from today. Time commitment: 9-15 hrs/week for 7 weeks. Here's how you can get $100 off by preparing: 1?? Take the $13 Udemy prep course (resist the temptation to skip sections) 2?? Use that to decide if you even like my teaching style. 3?? DM me as you get close to the end and I'll send you a coupon code for the bootcamp. ------ How? Why? Complete this $13 course first: "Taking Python to Production" (29 hrs video, budget more to follow along). Discount link: https://lnkd.in/gcEjfppU We loosened our requirements to sign up for the last cohort, and as a result gave our first 2 refunds ever. It came down to underestimating the pace of the bootcamp-- not because of AWS, but because Python SWE fundamentals are tripping them up. Biggest weak points in rank order: 1. pytest 2. packaging 3. terminal and VS Code 4. venv management ^^^ The list may look simple, but we've observed several people with "senior" in their job title struggling with these. Give the Udemy course a chance. It'll push the time commitment down from 15 hrs/week closer to 9 during the bootcamp. It's very likely it will make you the best Python C.I. developer on your team. We've seen many people underestimate it, and when we go to support them, it's clear this would have made it better. Lmk if you plan to take the challenge to prep over the next 3 weeks! You've got this!!

Hey Everyone! Would love your help with this! Please repost and share for further reach. We're hiring for a Senior AI/ML Engineer! If you know of someone who would be a good fit, please let them know about this and get them in touch. For those of you who are interested: Please email [email protected] if you're interested! Please see the attached PDF for the job descriptions and responsibilities. Super excited to see who we can connect with!