Machine Learning Operations Bootcamp
Get to Know Our Program
MLOps Bootcamp
18 weeks - 9 modules
About
The Machine Learning Operations Bootcamp is meticulously crafted to assist professionals in deepening their comprehension of proficiently managing and deploying machine learning models within real-world contexts. Encompassing a diverse array of subjects, the bootcamp spans from the foundational principles of machine learning to the intricacies of model deployment and monitoring.
Participants will gain indispensable knowledge and skills essential for the seamless execution of machine-learning projects in production environments. This comprehensive program integrates the expertise of four distinct tech profiles: Data Science, Data Engineering, Site Reliability Engineers (SREs), and Software Engineering. At the end of this learning journey, these professionals will be ready to work collaboratively on optimizing model performance, ensuring data reliability, and maintaining system efficiency throughout the entirety of the project lifecycle.
Level
Intermediate
Pre-requisites
This innovative training program is open for professional with skills and experience in one of the 4 technical roles involved in a MLOps cycle.
Requirements
Computer or mobile device with Internet access
Zoom application installed and updated
Email account
Technical Profiles
Data Engineer
Experience in developing data pipelines using Python
Proficient in the use of good programming practices
Familiarity with version control tools, such as Git
Knowledge of data-oriented cloud solutions
Experience with data warehousing tools
Ability to solve problems related to data engineering
Data Scientist
Proficient in the use of applied mathematics for data analysis
Experience using version control tools, such as Git
Extensive experience working with Python for data analysis
Experience developing and training Machine Learning models
Knowledge of good programming practices focused on Data Science
Ability to solve complex problems related to data analysis and model building
Site Reliability Engineer
Experience managing and configuring cloud infrastructures
Experience using version control tools, such as Git
Familiarity with monitoring and logging tools for application and system performance analysis
Knowledge of automation and scripting for operations tasks
Experience troubleshooting and debugging systems in production
Experience with container management and orchestration technologies
Software Engineer
Proficiency working with Python
Knowledge of Test Driven Development (TDD)
Experience designing and developing software applications and systems
Knowledge of good programming practices and design patterns
Understanding of distributed and scalable application architectures
Experience using version control tools, such as Git
What’s Involved
Flipped Approach
Access online resources before engaging in practical sessions.
Online Sessions
Benefit from theory-to-practice online sessions led by Wizeline experts.
Mentorship
Receive mentorship to guide your MLOps journey.
Capstone project
Apply your knowledge in a real-world setting with a hands-on capstone project.
Community
Join a collaborative community of Data Engineers, Data Scientists, Site Reliability Engineers, and Software Engineers, united in their pursuit of the training’s goals.