1. Training portal >
  2. AI in the Enterprise – a manager's guide >
  3. Chapters
Chapter 10

Chapters

Chapters

Short summaries of the blocks – the trainer tells the stories and details; notes are in the slides.

  • AI for managers
  • Use cases: what works and what failed
  • Strategy, roadmap and ROI
  • Security, trust, legislation
  • Choosing and deploying tools
  • Change management and adoption
Relearn
  • Kubernetes INTRO
    • Day 1
      • Services and microservices
      • Containers and images
      • Kubernetes basics
      • Finding your way around kubectl
      • Pods
    • Day 2
      • Troubleshooting routine
      • Namespaces
      • ReplicaSets
      • Deployments
      • DaemonSets
      • Scheduling: taints, tolerations, affinity
      • Services
      • Gateway API
      • Nodes
    • Day 3
      • ConfigMaps and Secrets
      • Persistent storage
      • StatefulSets
      • Helm basics
      • Helm charts
      • CRDs and operators
    • Cheat sheets
      • Docker cheat sheet
      • kubectl cheat sheet
      • Helm cheat sheet
    • Labs
      • Lab 01 - Workstation setup
      • Lab 02 - Docker containers
      • Lab 03 - Docker images and Dockerfile
      • Lab 04 - Docker networking and volumes
      • Lab 05 - First look at the cluster
      • Lab 06 - Finding your way around kubectl
      • Lab 07 - Pods
      • Lab 08 - Pod troubleshooting
      • Lab 09 - Namespaces
      • Lab 10 - ReplicaSets
      • Lab 11 - Deployments and probes
      • Lab 12 - DaemonSets
      • Lab 13 - Taints, tolerations and affinity
      • Lab 14 - Services
      • Lab 15 - Gateway API
      • Lab 16 - Node operations
      • Lab 17 - ConfigMaps and Secrets
      • Lab 18 - Persistent storage on NFS
      • Lab 19 - StatefulSets
      • Lab 20 - Helm releases
      • Lab 21 - Writing your own chart
      • Lab 22 - An operator: PostgreSQL
      • Lab 23 - Application end to end
      • Extended Lab A - Deploy KubeQuiz
      • Extended Lab B - Ship a change
  • Kubernetes GT
    • Day 1
      • Ecosystem, containers and orchestration
      • Architecture: control plane and worker nodes
      • The Kubernetes API and kubectl
      • Declarative vs. imperative
      • Namespaces
      • Labels, selectors and annotations
      • Objects and their lifecycle
      • Pods
      • ReplicaSets and Deployments
    • Day 2
      • DaemonSets
      • StatefulSets (and a first look at PVCs)
      • Jobs and CronJobs
      • ConfigMaps and Secrets
      • Networking, CNI, Services and DNS
      • Helm
      • Ingress (legacy)
      • Gateway API
      • Kustomize
    • Day 3
      • Rolling updates and rollbacks
      • Requests, limits and quotas
      • Autoscaling with HPA
      • Scheduling and node operations
      • Startup, readiness and liveness probes
      • Logs and events
      • Troubleshooting and kubectl debug
    • Day 4
      • Authentication and authorization
      • RBAC and least privilege
      • Service accounts
      • Security context and container hardening
      • Pod Security Standards and Admission
      • Admission policies
      • Network policies and segmentation
      • Images, secrets and audit
    • Day 5
      • Persistent storage
      • Stateful workloads
      • Monitoring with Prometheus and Grafana
      • Backup and disaster recovery
      • CRDs and operators
      • Production operations and best practices
    • Cheat sheets
      • kubectl cheat sheet
      • Helm cheat sheet
    • Labs
      • Lab 01 - Workstation setup
      • Lab 02 - First look at the cluster
      • Lab 03 - The Kubernetes API and kubectl
      • Lab 04 - Imperative vs. declarative objects
      • Lab 05 - Namespaces
      • Lab 06 - Labels, selectors and annotations
      • Lab 07 - Pods
      • Lab 08 - ReplicaSets and Deployments
      • Lab 09 - DaemonSets
      • Lab 10 - StatefulSets
      • Lab 11 - Jobs and CronJobs
      • Lab 12 - ConfigMaps and Secrets
      • Lab 13 - Services and DNS
      • Lab 14 - Helm: install Traefik, releases and charts
      • Lab 15 - Ingress with Traefik (legacy)
      • Lab 16 - Gateway API with Traefik
      • Lab 17 - Kustomize overlays
      • Lab Extra - 01 - External access from your PC
      • Lab 18 - Rolling updates and rollbacks
      • Lab 19 - Requests, limits and quotas
      • Lab 20 - Autoscaling with HPA
      • Lab 21 - Scheduling and node maintenance
      • Lab 22 - Health checks
      • Lab 23 - Logs, events and troubleshooting
      • Lab 24 - Ephemeral containers and kubectl debug
      • Lab 25 - Troubleshooting challenge
      • Lab 26 - Users, certificates and kubeconfig
      • Lab 27 - RBAC
      • Lab 28 - Service accounts
      • Lab 29 - Workload hardening
      • Lab 30 - Pod Security Admission
      • Lab 31 - Admission policies
      • Lab 32 - Network policies with Calico
      • Lab 33 - Image scanning, encryption at rest, audit log
      • Lab 34 - Security review challenge
      • Lab 35 - Static and dynamic storage
      • Lab 36 - Running a stateful application
      • Lab 37 - Prometheus and Grafana
      • Lab 38 - Production incident analysis
      • Lab 39 - Backup and restore with Velero
      • Lab 40 - etcd snapshot and restore
      • Lab 41 - An operator: PostgreSQL
      • Lab 42 - End-to-end production scenario
  • Microsoft 365 Copilot for Managers
    • Chapters
      • Introduction to Microsoft 365 Copilot
      • Writing good prompts
      • Copilot in Outlook
      • Copilot in Word
      • Copilot in Excel
      • Copilot in PowerPoint
      • Copilot in Teams
      • Advanced scenarios and agents
      • Final assignment and quiz
    • Cheat sheets
      • Cheat sheet – prompts for managers
      • Lab files
    • Labs
      • Lab 00 - First steps
      • Lab 01 - From a vague prompt to a good one
      • Lab 02 - The manager's morning inbox
      • Lab 03 - Minutes, contract and report
      • Lab 04 - Projects, revenue and service
      • Lab 05 - Deck for the management meeting
      • Lab 06 - D1 WIM crisis meeting
      • Lab 07 - Decision-making with Copilot
      • Lab 08 - Manager's Monday (final assignment)
  • AI in the Enterprise – a manager's guide
    • Chapters
      • AI for managers
      • Use cases: what works and what failed
      • Strategy, roadmap and ROI
      • Security, trust, legislation
      • Choosing and deploying tools
      • Change management and adoption
    • Workshops
      • Workshop 1 – Use-case hunt
      • Workshop 2 – Priorities and business case
      • Traffic-light exercise
      • TRAXIA case study
    • Cheat sheets
      • AI policy template
      • Prompts for managers
      • Glossary
      • Stories and sources
  •  
  •  

Built with by Hugo