MLOps Upskilling Program
Xenon7
- Buenos Aires
- Permanente
- Tiempo parcial
- Tailored Curriculum: Learn the fundamentals and advanced concepts of MLOps, starting from the basics. Bsides the mandatory Circullum, we will provide additional resources for learners who want to go an extra mile and gain deeper knowledge on specific topics
- Hands-on Approach: Dive into practical exercises, labs, and projects using industry-standard tools and platforms.
- Guidance from Experts: Gain insights from experienced professionals who have successfully implemented MLOps workflows.
- Networking Opportunities: Connect with peers and industry veterans to expand your professional network.
- Certification of Completion: Showcase your newly acquired skills with a certificate recognized by industry leaders. Besides Xenon7's certificate, top Learning get a voucher for obtaining Intel's MLOps Professional Certification
- Job Opportunities: Top learnings get a chance of landing a job with Xenon7 upon successful cokmpletion of the program
- Introduction to MLOps: Overview of the ML Lifecycle and Deployment, How to Select and Train a Model, Data Definition and Baselining
- Solution Architecture and Design: AI solution Architectures and Design Patterns with practical application in AWS environment, Designing and Building back-end APIs using Pyhon
- Building MLOps flow: Implementing Data pipelines, Model Registries, Observability and Triggering, Versioning using MLFlow and Kuberflow
- Optimization of Full-stack: Use OpenMP, numactl, and Intel® oneAPI Math Kernel Library (oneMKL) to optimize the use of underlying hardware. Managing workload requirements, designing for high-inference throughput, distributed training, performance profiling, and other techniques.
- Project Assignments: Complete 3 real-world projects and apply learned skills
- Graduates with a degree in Computer Science, Data Science, or a related field.
- Individuals with 1-2 years of experience in machine learning, possessing a basic understanding of ML concepts, including building and training models.
- Aspiring MLOps professionals seeking to deepen their expertise and contribute to the operational excellence of AI projects.