MLOps Roadmap to Build Your MLOps Skills with ProjectPro
By completing the MLOps Learning Path on ProjectPro, you will develop the core skills necessary to excel in machine learning or as an MLOps Engineer. The MLOps roadmap equips individuals with the skills and knowledge to effectively design and deploy machine learning solutions.
ProjectPro’s MLOps Roadmap
Following the MLOps learning path, learners progress from beginner to advanced levels, mastering concepts such as cloud computing, programming languages, DevOps principles, containerization, infrastructure as code, MLOps tools, monitoring, security, and more. With flexible learning options, you can customize your MLOps Roadmap based on your existing knowledge and skill level - Novice, Intermediate, or Advanced. Hands-on labs and practical exercises are central to the learning experience, ensuring you gain valuable, real-world MLOps skills. Start your MLOps journey with ProjectPro today and unlock new career opportunities in this rapidly growing field.
Your First Step to Becoming an MLOps Engineer
A project-based MLOps roadmap that lets you cultivate the mindset of an MLOps Engineer.
Learn the fundamental principles, key skills, and critical mindset that makes MLOps an invaluable discipline for effectively managing and deploying machine learning solutions.
Crafted by seasoned MLOps practitioners, guided by industry experts, and curated by project specialists, our comprehensive MLOps roadmap establishes the bedrock of your learning journey, ensuring it remains up-to-date and relevant to the dynamic field of MLOps.
This MLOps roadmap is flexible; you can adjust it based on your knowledge and skill level. Continuously assess your progress, seek learning opportunities, and apply your skills in real-world scenarios to become a proficient MLOps professional. Engage in hands-on projects that involve end-to-end MLOps implementation, from data preprocessing to model deployment.
Experience MLOps Mastery through Practical Learning
Beginner
- Customer Churn Prediction Analysis using Ensemble Techniques
- ML Model Deployment on AWS for Customer Churn Prediction
- Build Classification Algorithms for Digital Transformation[Banking]
- AWS MLOps Project to Deploy a Classification Model [Banking]
- FEAST Feature Store Example for Scaling Machine Learning
Intermediate
Advanced
- Image Segmentation using Mask R-CNN with Tensorflow
- MLOps Project for a Mask R-CNN on GCP using uWSGI Flask
- MLOps Project to Build Search Relevancy Algorithm with SBERT
- End-to-End ML Model Monitoring using Airflow and Docker
- Build CI/CD Pipeline for Machine Learning Projects using Jenkins
- End-to-End Snowflake Healthcare Analytics Project on AWS-1
- End-to-End Snowflake Healthcare Analytics Project on AWS-2
Here's what valued users are saying about ProjectPro
Savvy Sahai
Data Science Intern, Capgemini
Jingwei Li
Graduate Research assistance at Stony Brook University
Not sure what you are looking for?
View All Projects
