Hands-On Machine Learning Engineering & Operations
5 Weeks
·Cohort-based Course
Practical skills for real impact.
Hands-On Machine Learning Engineering & Operations
5 Weeks
·Cohort-based Course
Practical skills for real impact.
Course overview
Transform your PoCs & small projects into scalable AI Systems
You love to kickstart projects, but you always get stuck in the same development stage: a functional notebook - with a promising solution - that no one can access yet. The code is messy; refactoring & deploying the model seems daunting.
So you rummage online and crunch through Medium tutorials to learn about Machine Learning Engineering - but you haven't been able to glue all of the information together.
When it comes to making decisions between technologies and development paths, you get lost. You can't get other developers excited about your project.
This training will aim to solve this by taking you through the design and engineering of an end-to-end Machine Learning project on top of the latest Cloud Platform technologies.
Who is this course for
01
Data Scientists
Who want to deploy their models and build scalable AI systems.
02
Software & Data Engineers
Who want to transition toward Machine Learning.
03
Data Analysts
Who want a practical glimpse into Data Science & Engineering.
What you’ll get out of this course
50+ tailor-made visual slides
To tackle MLOps' latest theories and provide battle-tested insights into its main concepts and ideas.
10+ hours of live coding sessions
To gain exposure to the real-world productization process of Machine Learning applications in a fun and practical way.
10+ hours of feedback & counseling
To navigate the field more effectively and apply the course learnings towards the development of your own project
12+ practical Labs
To build on top of the latest technological stack and deploy your solution at scale.
5+ weeks to make new friends
Who will challenge you on your ideas and, who knows, maybe become your teammates one day.
Hands-On Machine Learning Engineering & Operations
Meet your instructor
Sean Ariel
Hi - I'm Sean 🤘
I'm the developer behind the Belote Maniée prototype.
Over the last 7 years, I've worked on interesting ML problems:
- Bionic Pricing & Demand Forecasting
- Large Scale Personalization for E-commerce
- Reinforcement Learning for game development
I've put all my knowledge and experience into this practical course - hope you'll like it !
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Hands-On Machine Learning Engineering & Operations
Course syllabus
Week 1
New Module
Week 2
Week 3
Week 4
Week 5
Course schedule
5-10 hours per week | 5 weeks
Wednesday
5:30pm - 7:30pm CET
Theory & live coding sessions to go through the module of the week. Introduction of the self-paced Labs of the week.
Self-Paced Labs
1-6 hours per week
Follow the guided labs at your own pace and with your personal effort commitment to cement your understanding of the development stack.
Friday's Office Hours
5:30pm - 7:30pm CET
Secured slot for you to connect and ask any question you might have on the training, or get some validation on your own projects !
Frequently Asked Questions
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