Descriptions
Building a Real-Time ML System Together, This interactive bootcamp teaches you how to build, deploy, and scale real-time machine learning systems using Python, Rust, LLMs, and Kubernetes. Through hands-on projects, you will design and implement microservice architectures, feature-training-inference pipelines, and real-time prediction systems for applications like crypto price prediction and credit card fraud detection. The program includes over 150 hours of recorded sessions, live coding, full source code, and access to a vibrant ML community, ensuring you gain practical skills for real-world engineering challenges.
What you’ll learn
- Design, build, deploy, and scale microservice architectures for real-time ML systems
- Implement feature-training-inference pipeline design for any ML project
- Build real-time ML services in Python using serverless tools and platforms like Kafka, Feature Store, Experiment Tracker, Model Registry, and Kubernetes
- Integrate Large Language Models (LLMs) into end-to-end ML systems
- Develop and deploy prediction systems for use cases such as crypto price prediction and fraud detection
Who this course is for
- Machine learning engineers, data scientists, and software engineers seeking hands-on experience in real-time ML systems
- Professionals familiar with coding and ML fundamentals who want to build scalable, production-ready ML solutions
- Anyone interested in practical, project-based learning for deploying and scaling ML architectures
Specificatoin of Building a Real-Time ML System Together
- Publisher : Realtimeml
- Teacher : Pau
- Language : English
- Level : All Levels
- Number of Course : 188
- Duration : 48 hours and 20 minutes
Content of Building a Real-Time ML System Together
Pictures
Sample Clip
Video Player
00:00
00:00
Installation Guide
Extract the files and watch with your favorite player
Subtitle : Not Available
Quality: 1080p
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
7.48 GB
