• 📚 "GCP Essentials" - link to course. This course is also named "Google Cloud Platform Essential Training for Administrators"
• 📚 "GCP Enterprise Essentials" - link to course
• 📚 "Google Gemini for Developers" - link to course
• 📚 "ADVANCED Google Gemini for Developers" - link to course
• 📚 "GCP Machine Learning Essentials" - link to course and repo area)
• 📚 'GCP Tools' - link to course & associated updates into this repo --> example in tools folder at link
• 📚 'GCP Cost Control' course on LI_L, and associated Repo page at - link
• My Apache Hadoop/Spark and NoSQL courses on LinkedIn Learning (includes lots of GCP info)- link
  • 📺 'Learning Hadoop' - if you are learning Hadoop/Spark, watch this course first
  • 📺 'Cloud Hadoop: Scaling Apache Spark' - uses GCP Dataproc
  • 📺 'Cloud NoSQL for SQL Pros' - covers both GCP and AWS NoSQL

• 📝 interactive list of every GCP Service in 4 words - link
• "GCP Microservices Demo" - link to runnable demo
• 📔 GCP Qwiklabs - link sandboxed environments and GCP labs
• 📘 GCP (gcloud) command quick ref - link
• 📘 For more info about advanced topics, see the links in the GCP-Essentials_Links.csv page in this Repo

Examples use the GPC scripting tools (gcloud, gsutil, bq...) and sometimes also the Python API with the GCP SDK. You can work with GCP services in many programming langauges, such as Java, Go, Node and others. See this link for the GCP SDK to see examples for other programming languages: https://cloud.google.com/sdk/

Additionally, I have created other repositories and courses on GCP topics for bioinformatics.

• GCP-for-Bioinformatics --> Open source course - for links, screencasts, jupyter notebooks or example workflows (Terra/WDL, Nextflow/NF, Galaxy Project...) for bioinformatics use cases, see this repository: https://github.com/lynnlangit/gcp-for-bioinformatics