(r4) InternshipWorkshop2024 < CenterForComputing

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---+Bethel's 2024 Workshop for Interns
---++Basic information
   * Instructor:  Dr. Cathy Bareiss
   * Location: Bethel University: Science Building 027
   * Original Date/Time:  Fridays from 3:00pm-5:00pm.  Moved to online videos and courses/labs
---++Recorded videos
   * First day:
      * https://bethel.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=785f0502-c24d-4c0a-bf85-b18f01577f49
   * !PaaS:
      * https://betheluniversity-edu.zoom.us/rec/share/-TNupaHtVLv_nzRUQLNOa8kCZ9p8zk0o3Q7NXnNXKfiGxo1s9bfSCTuTW_h8sl8V.3jvaLMAJv-unMnOB
      * Passcode:g.CR4?C6
   * !SaaS: 
      * https://betheluniversity-edu.zoom.us/rec/share/Tggq6j56zk2m3Cwa2WD-4IKgFoFtslWM29rv5f8rsDp4M-N9uIltPvAy73RjblHf.kWJU9ozxg7YkNwIT
      * Passcode:4iCq@DUD
---++Resources
   * Introduction to the cloud:  Google Cloud Fundamentals: Core Infrastructure:  Link to the entire course [[https://www.cloudskillsboost.google/course_templates/60]]
      * Introducing Google Cloud: an overview of !IaaS and !PaaS
      * Virtual Machines and Networks in the cloud:  focus on the part about the compute engine
      * Storage in the cloud.  This entire module is very good.  It covers cloud storage and databases
      * Prompt Engineering: About LLM:  [[https://www.cloudskillsboost.google/course_templates/60/video/487111]]
         * Overview recording: [[https://betheluniversity-edu.zoom.us/rec/share/Q7flHCIzGV66CqFJK877UY-YPmGoPT4Cun7wTIsoQG-ks0hr_F4dN_9aaRPlgoaJ.IAwwO0J_jcFEHlQ2?startTime=1720458490000]] Passcode: +3x!4Aja
   * Analyzing and Visualizing Data the Google Way: [[https://www.cloudskillsboost.google/course_templates/480]]
   * Exploring and Preparing your Data with !BigQuery: [[https://www.cloudskillsboost.google/course_templates/14]].  This is a LONG course (24 hours) and includes a good introduction into SQL.  It would be great for continuing work.  The first two sections gives a good overview
   * Google Cloud Big Data and Machine Learning Fundamentals:  [[https://www.cloudskillsboost.google/course_templates/3]] This is a good overview (5 hours) with videos and labs about Big Data and Machine Learning.  It explains the concepts and does some demos.
   * Baseline:  Data, ML, and AI:  [[https://www.cloudskillsboost.google/course_templates/619]].  This is just a series of labs showing how things can be done on Google Cloud.  
   * !BigQuery Basics for Data Analysts:  [[https://www.cloudskillsboost.google/course_templates/677]] This is a series of labs to help you use !BigQuery.  Do the Big Data and Machine Learning Fundamentals first.

---++Original Schedule
   * June 14
      a. Introduction to the Cloud
      a. Introduction to Python
   * June 21
      a. Virtual Machines in the cloud
      a. Loops with Python (part 1)
   * June 28
      a. Databases in the cloud
      a. Loops with Python (part 2)
   * July 5
      a. Big Data in the cloud
      a. Methods with Python
   * July 12
      a. Overview of AI
      a. Python and working with big data
   * July 19
      a. Ethics of AI
      a. Project (part 1)
   * July 26
      a. AI in the cloud
      a. Project (part 2)
   * August 2
      a. Summary of what was learned
      a. Presentation of project
Topic revision: r4 - 2024-07-08 - CathyBareiss