Python

all_inclusive DevOps EngineeringGo from Linux and Git to shipping secure, observable software on Kubernetes and the cloud, on demand.

• Foundations: Culture, Linux & Scripting › Scripting & Automation with Bash and Python

model_training MLOps: Machine Learning OperationsTake predictive ML models from notebook to reliable, monitored, governed production on Kubernetes and cloud.

• Foundations: Python, ML and the ML Lifecycle › Python Engineering for ML

psychology AIOps: AI for IT OperationsTurn telemetry into action: cut alert noise, predict incidents, find root cause and automate fixes with AI.

• Operations & Observability Foundations › Python for Operations Data
• Machine Learning for Operations Data › Time-Series Analysis & Forecasting
• Machine Learning for Operations Data › Anomaly Detection on Metrics
• Machine Learning for Operations Data › Log Analytics & Pattern Mining
• Machine Learning for Operations Data › Time-Series Foundation Models
• LLM & Agentic AI for Operations › LLM Foundations for Operators
• LLM & Agentic AI for Operations › Building a Custom Operations Agent

layers Platform Engineering & Internal Developer PlatformsBuild internal developer platforms as products: golden paths, self-service APIs and guardrails at scale.

• Foundations for Platform Builders › Go and Python for Platform Tooling

monitor_heart Site Reliability EngineeringRun production like a software problem: SLOs, observability, incident response and automation at scale.

• Foundations: Linux, Networking & Code › Programming for Automation: Python & Go
• Advanced SRE: Automation, AI & Leadership › Toil Reduction & Self-Healing Automation

savings FinOps: Cloud & Technology Financial OperationsGet more value from every cloud, AI and SaaS dollar with shared data, engineering action and accountability.

• Cost Visibility & Billing Data › Cost Data Ingestion, Modelling & Analytics
• Allocation, Accountability & Unit Economics › Unit Economics & FinOps KPIs
• FinOps for AI, Cloud+ & Operating the Practice › Forecasting, Budgeting & Planning
• FinOps for AI, Cloud+ & Operating the Practice › Automation, AI Assistants & Practice Operations

cloud_sync Cloud Operations (CloudOps) EngineeringRun secure, reliable and cost-aware workloads on AWS, Azure and Google Cloud with automation-first operations.

• Cloud & Systems Foundations › CLIs, Scripting & Git for Operations
• Automation, Patching, Backup & Resilience › Event-Driven Automation & Runbooks

database DataOps EngineeringShip trusted, tested and observable data products with software-engineering discipline and automation.

• Foundations: DataOps Mindset, SQL & Python › Python for Data Pipelines

lan NetDevOps & Network Automation EngineeringAutomate, test and operate networks as code, from Python and APIs to CI/CD, telemetry and AI agents.

• Foundations: Networking, Linux, Python & Git › Python for Network Engineers
• Model-Driven Programmability & APIs › REST APIs & Controller Platforms
• Network CI/CD, Testing & Digital Twins › Pre-Change Validation with Batfish

smart_toy LLMOps: Operating LLM, RAG and Agent ApplicationsBuild, evaluate, serve, observe and secure LLM, RAG and agent applications in production at a sane cost.

• LLM Foundations and Model Selection › Working with Model APIs