Interactive skill & career roadmap
Click any skill to explore. 16 skills visible.
Container orchestration for production workloads including ML and LLM inference.
Container packaging for reproducible ML and AI deployments.
Primary language for ML, LLM apps, automation, and data engineering.
Experiment tracking, model registry, and ML lifecycle management.
Retrieval-augmented generation for enterprise knowledge applications.
Stores and queries embeddings for semantic search and RAG.
Framework for LLM applications, chains, and agent orchestration.
Model Context Protocol for connecting agents to enterprise tools and data.
Large language models — APIs, prompting, fine-tuning, and evaluation.
High-throughput LLM inference serving with PagedAttention.
GPU scheduling, memory, and compute for AI training and inference.
Infrastructure as code for reproducible cloud and AI platforms.
Metrics collection and alerting for ML and AI systems.
Kubernetes-native model serving with autoscaling and canary deployments.
Operating system fundamentals for all infrastructure and AI engineering.
Automated build, test, and deploy pipelines for ML and software.
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