Welcome to a transformative journey where we don't just learn Machine Learning Operations (MLOps) but master the art of securing high-paying job offers, both nationally and internationally, all while working remotely from the comfort of your home!
This isn’t just another machine learning course. This is a golden ticket to elevating your projects and take-home challenges with a creamy layer of MLOps, ensuring you stand out in every job application and project proposal. I've utilized these strategies to secure my first Data Center internship at a US-based startup, earning 2x more than what Google India pays its software engineers, and to receive numerous job offers from companies across the U.S., U.K., Germany, and more.
- Fundamentals of MLOps: Dive deep into the core concepts and applications of MLOps.
- End-to-End Project: Engage in a comprehensive project, spanning from data ingestion to deployment, utilizing state-of-the-art tools like MLflow, ZenML, and more. ( Creamy Layer Strategy: Learn how to add that extra 'oomph' to your projects and challenges, making them irresistible to potential employers or clients.
Hello! I'm Ayush Singh, the Data Scientist at Replayed, Founder - SecondBrainLabs, and your guide on this journey. I've led several products in the creators' economy and worked as an MLOps engineer on one of the fastest-growing MLOps frameworks, ZenML. With experience as a Data Scientist at Artifact and building large-scale NLP products even before GPT was launched, I bring to the table a wealth of knowledge and practical insights that will enrich your learning experience.
- Module 1: Introduction to MLOps
- Module 2: Deep Dive into MLOps Tools
- Module 3: Real-World Project from Ingestion to Deployment
- Aspiring Data Scientists: Who wish to elevate their projects and secure high-paying job offers.
- ML Practitioners: Looking to add a competitive edge to their skillset with MLOps.
- Anyone Curious: About leveraging MLOps for career growth.
All the required resources, additional reading materials, and tools links are provided in the course modules. Ensure to check them out to enhance your learning and practical application of the concepts.