Kubernetes Custom Resources and GPU Scheduling
Extend the Kubernetes API with Custom Resource Definitions and schedule GPU-backed workloads.
Kubernetes Networking and Service Mesh
Expose applications with Kubernetes Services and add traffic management with the Istio service mesh.
Kubernetes Security and Access Control
Harden a Kubernetes cluster with pod security policies and fine-grained RBAC for users and permissions.
Kubernetes Workloads and Scheduling
Control how Kubernetes schedules and manages workloads: Jobs, StatefulSets, taints/tolerations, affinity rules, health probes and resource limits.
Serving TensorFlow Models with a Custom Environment
Build a custom serving environment to run TensorFlow models with extra dependencies.
TensorFlow Serving: Handling Content Types
Explore how TensorFlow Serving handles different request content types for inference.
Building a Feature Store for Machine Learning
Design and proposal for a feature store to serve consistent features for training and serving.
Data Mining - Deep Dive into Big Data Pipelines
Build a big-data pipeline stack combining Airflow, Spark and Kafka clusters with Docker.
Serving TensorFlow Models with JSON Requests
Send and parse JSON prediction requests against a TensorFlow Serving model.
Serving Custom TensorFlow Models
Package and serve a custom TensorFlow model signature with TensorFlow Serving.