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Powerful Google developer tools for immediate impact! (2023-24 A)

This is one of two 45-60-min presentations to students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring you as to what's possible. The session introduces Google's machine learning & other APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started! The main takeaways are where to run your code, store your data, and analyze your data, all in the cloud! The other version of this talk ("B") focuses more on serverless platforms.

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Powerful Google developer
tools for immediate impact!
Santa Clara/San Jose :: Fall 2023
Wesley Chun
Principal, CyberWeb
@wescpy@
Principal Consultant, CyberWeb
● Mission: produce accelerated Python
developers, enable developers to be
successful using Google Cloud and
other Google developer tools & APIs
● Focus: Python, Google Cloud (GCP) &
Google Workspace (GWS) APIs; GAE
migrations; Google X-product sol'ns
● Services: technical consulting,
training, engineering, speaking, code
samples, hands-on tutorials, public
technical content (blogs, social, etc.)
About the speaker
Previous experience / background
● Software Engineer & Developer Advocate
○ Google, Sun, HP, Cisco, EMC, Xilinx &
○ Original Yahoo!Mail engineer/SWE
● Technical trainer, teacher, instructor
○ Teaching Math, Linux, Python since '83
○ Adjunct CS Faculty at local SV colleges
● Python community member
○ Popular Core Python series author
○ Python Software Foundation Fellow
● AB (Math/CS) & CMP (Music/Piano), UC
Berkeley and MSCS, UC Santa Barbara
● Adjunct Computer Science Faculty, Foothill
College (Silicon Valley)
GWS Dev Show
goo.gl/JpBQ40
GAE migration
bit.ly/3xk2Swi
Why and Agenda
● Cloud has taken industry by storm (all?)
● Not enough cloud computing in industry or higher-ed curriculum
● Cloud skills are in-demand in today's workforce
● How can Google developer tools help with student/work projects?
● Show how to start using these impactful Google tools today!
Cloud computing
& Google Cloud
1
Hosting your
code
2
Google APIs
primer
3
Machine
Learning
4 5
Other APIs to
consider
6
Wrap-up
01
Cloud computing
& Google Cloud
Intro and overview
Getting things done using someone else’s computers, especially
where someone else worries about maintenance, provisioning, system
administration, security, networking, failure recovery, upgrades, etc.
Google Compute Engine, Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
Cloud service levels/"pillars"
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
Google BigQuery, Cloud SQL, Vertex AI,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL, Docker
Google Apps Script
Salesforce1/force.com
Google Workspace (was G Suite/Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
Summary of responsibility
SaaS
Software as a Service
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
IaaS
Infrastructure as a Service
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
PaaS
Platform as a Service
Managed by YOU Managed by cloud vendor
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
on-prem
all you, no cloud
Theme - Spec/Reqs
Logistics - Design app
Space - Provision HW
Food - Build & serve app
Manage - Manage app
on-prem
(DIY)
IaaS
(Compute Engine)
PaaS
(App Engine)
SaaS
(Google Workspace
(formerly G Suite))
Pick theme
Plan party
Find space
Cook
On-call
Pick theme
Plan party
Rent hall
Cook
On-call
Pick theme
Plan party
Rent hall
Hire Caterer
Hire manager
Pick theme
Hire planner
Rent hall
Hire caterer
Hire manager
Imagine you’re hosting a party...
formerly
( )
02
Where to run
your code
Serverless simplifies it all!
Running Code: App Engine
Got a great app idea? Now what?
VMs? Operating systems? Big disk?
Web servers? Load balancing?
Database servers? Autoscaling?
With Google App Engine, you don't
think about those. Just upload
your code; we do everything else.
>
cloud.google.com/appengine
Running Code: Cloud Functions
Don't have an entire app? Just want
to deploy small microservices or
"RPCs" online globally? That's what
Google Cloud Functions are for!
(+Firebase version for mobile apps)
cloud.google.com/functions
firebase.google.com/products/functions

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Powerful Google developer tools for immediate impact! (2023-24 A)

  • 1. Powerful Google developer tools for immediate impact! Santa Clara/San Jose :: Fall 2023 Wesley Chun Principal, CyberWeb @wescpy@ Principal Consultant, CyberWeb ● Mission: produce accelerated Python developers, enable developers to be successful using Google Cloud and other Google developer tools & APIs ● Focus: Python, Google Cloud (GCP) & Google Workspace (GWS) APIs; GAE migrations; Google X-product sol'ns ● Services: technical consulting, training, engineering, speaking, code samples, hands-on tutorials, public technical content (blogs, social, etc.) About the speaker Previous experience / background ● Software Engineer & Developer Advocate ○ Google, Sun, HP, Cisco, EMC, Xilinx & ○ Original Yahoo!Mail engineer/SWE ● Technical trainer, teacher, instructor ○ Teaching Math, Linux, Python since '83 ○ Adjunct CS Faculty at local SV colleges ● Python community member ○ Popular Core Python series author ○ Python Software Foundation Fellow ● AB (Math/CS) & CMP (Music/Piano), UC Berkeley and MSCS, UC Santa Barbara ● Adjunct Computer Science Faculty, Foothill College (Silicon Valley) GWS Dev Show goo.gl/JpBQ40 GAE migration bit.ly/3xk2Swi
  • 2. Why and Agenda ● Cloud has taken industry by storm (all?) ● Not enough cloud computing in industry or higher-ed curriculum ● Cloud skills are in-demand in today's workforce ● How can Google developer tools help with student/work projects? ● Show how to start using these impactful Google tools today! Cloud computing & Google Cloud 1 Hosting your code 2 Google APIs primer 3 Machine Learning 4 5 Other APIs to consider 6 Wrap-up 01 Cloud computing & Google Cloud Intro and overview
  • 3. Getting things done using someone else’s computers, especially where someone else worries about maintenance, provisioning, system administration, security, networking, failure recovery, upgrades, etc. Google Compute Engine, Cloud Storage AWS EC2 & S3; Rackspace; Joyent Cloud service levels/"pillars" SaaS Software as a Service PaaS Platform as a Service IaaS Infrastructure as a Service Google BigQuery, Cloud SQL, Vertex AI, Cloud Datastore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Apps Script Salesforce1/force.com Google Workspace (was G Suite/Google Apps) Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365 Google App Engine, Cloud Functions Heroku, Cloud Foundry, Engine Yard, AWS Lambda
  • 4. Summary of responsibility SaaS Software as a Service Applications Data Runtime Middleware OS Virtualization Servers Storage Networking Applications Data Runtime Middleware OS Virtualization Servers Storage Networking IaaS Infrastructure as a Service Applications Data Runtime Middleware OS Virtualization Servers Storage Networking PaaS Platform as a Service Managed by YOU Managed by cloud vendor Applications Data Runtime Middleware OS Virtualization Servers Storage Networking on-prem all you, no cloud Theme - Spec/Reqs Logistics - Design app Space - Provision HW Food - Build & serve app Manage - Manage app on-prem (DIY) IaaS (Compute Engine) PaaS (App Engine) SaaS (Google Workspace (formerly G Suite)) Pick theme Plan party Find space Cook On-call Pick theme Plan party Rent hall Cook On-call Pick theme Plan party Rent hall Hire Caterer Hire manager Pick theme Hire planner Rent hall Hire caterer Hire manager Imagine you’re hosting a party...
  • 5. formerly ( ) 02 Where to run your code Serverless simplifies it all!
  • 6. Running Code: App Engine Got a great app idea? Now what? VMs? Operating systems? Big disk? Web servers? Load balancing? Database servers? Autoscaling? With Google App Engine, you don't think about those. Just upload your code; we do everything else. > cloud.google.com/appengine Running Code: Cloud Functions Don't have an entire app? Just want to deploy small microservices or "RPCs" online globally? That's what Google Cloud Functions are for! (+Firebase version for mobile apps) cloud.google.com/functions firebase.google.com/products/functions
  • 7. Running Code: Cloud Run Got a containerized app? Want its flexibility along with the convenience of serverless that's fully-managed plus auto-scales? Google Cloud Run is exactly what you're looking for! Need custom HW? Cloud Run on GKE cloud.google.com/run Running code: Apps Script Apps Script: A customized serverless JS runtime for automation, and extension and integration with Google Workspace (formerly G Suite), Google, or other external services. Access 40+ different Google services w/o using APIs or writing OAuth code. developers.google.com/apps-script
  • 8. Accessing maps from spreadsheets?!? goo.gl/oAzBN9 This… with help from Google Maps & Gmail function sendMap() { var sheet = SpreadsheetApp.getActiveSheet(); var address = sheet.getRange("A2").getValue(); var map = Maps.newStaticMap().addMarker(address); GmailApp.sendEmail('friend@example.com', 'Map', 'See below.', {attachments:[map]}); } JS g.co/codelabs/apps-script-intro 03 Google APIs primer How to access Cloud APIs
  • 10. General steps 1. Go to Cloud Console 2. Login to Google/Gmail account (Workspace domain may require admin approval) 3. Create project (per application) 4. Enable APIs to use 5. Enable billing (CC, Free Trial, etc.) 6. Download client library(ies) 7. Create & download credentials 8. Write code* 9. Run code (may need to authorize) Google APIs: how to use Costs and pricing ● GCP: pay-per-use ● Google Workspace: subscription ● GCP Free Trial ($300/1Q, CC req'd) ● GCP "Always Free" tier ○ Some products have free tier ○ Daily or monthly quota ○ Must exceed to incur billing ● More on both programs at cloud.google.com/free *In your code 1. Import API client library 2. Create API client object 3. Use client to make API Calls
  • 11. Cloud/GCP console console.cloud.google.com ● Hub of all developer activity ● Applications == projects ○ New project for new apps ○ Projects have a billing acct ● Manage billing accounts ○ Financial instrument required ○ Personal or corporate credit cards, Free Trial, and education grants ● Access GCP product settings ● Manage users & security ● Manage APIs in devconsole ● View application statistics ● En-/disable Google APIs ● Obtain application credentials Using Google APIs goo.gl/RbyTFD API manager aka Developers Console (devconsole) console.developers.google.com
  • 12. Client libraries and credentials types ● Two different client library types ○ Platform-level client libraries (lower-level) ■ Multiple product groups as a "lowest-common denominator" ■ Install: developers.google.com/api-client-library ○ Product-level client libraries (higher-level) ■ Custom client libraries made specifically for 1 product or product group ■ Found on product or product group page(s) ● Three different credentials types ○ Simple: API keys (access public data) ■ Simplest form of authorization: an API key; tied to a project ○ Authorized: OAuth client IDs (access data owned by [human] user) ■ Provides additional layer of security via OAuth2 (RFC 6749) ○ Authorized: service accounts (access data owned by an app/robot user) ■ Provides additional layer of security via OAuth2 or JWT (RFC 7519) Blog series: dev.to/wescpy & Google APIs client libraries for many languages; demos in developers.google.com/api- client-library cloud.google.com/apis/docs /cloud-client-libraries
  • 13. OAuth2 or API key HTTP-based REST APIs 1 HTTP 2 Google APIs request-response workflow ● Application makes request ● Request received by service ● Process data, return response ● Results sent to application (typical client-server model) 04 How to analyze your data Machine Learning
  • 14. AI & machine learning Puppy or muffin? Source: twistedsifter.com/2016/03/ puppy-or-bagel-meme-gallery
  • 15. Machine learning is learning from rules plus experience. Inference Phase Training Phase answers data model ("rules") Machine Learning Model predictions (new) data
  • 16. ML "building block" APIs ● Gain insights from data using GCP's pre-trained machine learning models ● Leverage the same technology as Google Translate, Photos, and Assistant ● Requires ZERO prior knowledge of ML ● If you can call an API, you can use AI/ML! ● cloud.google.com/products/ai/building-blocks Vision Video Intelligence Speech (S2T & T2S) Natural Language Translation Machine Learning: Cloud Vision Google Cloud Vision API lets developers extract metadata and understand the content of an image, identify & detect objects/labels, text/OCR, landmarks, logos, facial features, products, XC, etc. cloud.google.com/vision
  • 17. from google.cloud import vision image_uri = 'gs://cloud-samples-data/vision/using_curl/shanghai.jpeg' client = vision.ImageAnnotatorClient() image = vision.types.Image() image.source.image_uri = image_uri response = client.label_detection(image=image) print('Labels (and confidence score):') print('=' * 30) for label in response.label_annotations: print(label.description, '(%.2f%%)' % (label.score*100.)) Vision: label annotation/object detection $ python3 label-detect.py Labels (and confidence score): ============================== People (95.05%) Street (89.12%) Mode of transport (89.09%) Transport (85.13%) Vehicle (84.69%) Snapshot (84.11%) Urban area (80.29%) Infrastructure (73.14%) Road (72.74%) Pedestrian (68.90%) Vision: label annotation/object detection g.co/codelabs/vision-python
  • 18. Google Photos The app has a search bar?!? blog.google/products/photos/smarter-photo-albums-without-work Global view Problem ● 1B ppl depend on seafood ● 85% at/over-fishing or recovering ● 20% caught illegal, undoc'd, unreg'd ● Analysts monitoring unscalable One solution ● globalfishingwatch.org/map ● Machine-learning classifiers: ○ Ship type: cargo, tug, sail, fishing ○ Ship size ○ Gear: longline, purse seine, trawl ○ Movement tracking: when and where vessels are fishing
  • 19. quickdraw.withgoogle.com Cloud Vision demo: Quick Draw game experiments.withgoogle.com/quick-draw Machine Learning: Cloud Natural Language Google Cloud Natural Language API reveals the structure and meaning of text, performing sentiment analysis, content classification, entity extraction, and syntactical structure analysis; multi-lingual cloud.google.com/language
  • 20. Machine Learning: Cloud Video Intelligence Google Cloud Video Intelligence API makes videos searchable, and discoverable, by extracting metadata. Other features: object tracking, shot change detection, and text detection cloud.google.com/video-intelligence Machine Learning: Cloud Speech Google Cloud Speech APIs enable developers to convert speech-to-text and vice versa cloud.google.com/speech cloud.google.com/text-to-speech
  • 21. Machine Learning: Cloud Translation Access Google Translate programmatically through this API; translate an arbitrary string into any supported language using state-of-the-art Neural Machine Translation cloud.google.com/translate Machine Learning: AutoML AutoML: a suite of cloud APIs for developers with limited machine learning expertise; auto-selects best models & allows for further training of those models for your data (Translation, Vision, Natural Language, Video Intelligence, Tables) cloud.google.com/automl cloud.google.com/automl-tables
  • 22. Full Spectrum of AI & ML Offerings App developer Data scientist, developer Data scientist, Researcher (w/infrastructure access & DevOps/SysAdmin skills) AI Platform (now Vertex AI) Auto ML Build custom models, use OSS SDK on fully- managed infrastructure ML APIs App developer, data scientist Use/customize pre-built models Use pre-built/pre- trained models Build custom models, use/ extend OSS SDK, self-manage training infrastructure Google and Jupyter Notebooks Users have many ways to access an indispensable data science tool ● Google Cloud Vertex AI Workbench ○ cloud.google.com/notebooks ● Kaggle ○ kaggle.com ● Google Research CoLaboratory ○ colab.research.google.com ● Google Cloud Dataproc Hub ○ cloud.google.com/dataproc/docs/tutorials/dataproc-hub-overview ● Google Cloud Datalab ○ cloud.google.com/datalab/docs/how-to/working-with-notebooks
  • 23. 05 Where to store your data And more ways to analyzing it Storing Data: Cloud Firestore The best of both worlds: the next generation of Cloud Datastore (w/product rebrand) plus features from the Firebase realtime database (For choosing between Firebase & Cloud Firestore: see firebase.google.com/docs/firestore/rtdb-vs-firestore; for choosing between Firestore Datastore & Firestore Native modes: see cloud.google.com/datastore/docs/firestore-or-datastore) cloud.google.com/firestore
  • 24. ● Ordinary database - explicitly query database for new updates (but when?) ● Realtime database - automatically receive deltas when database updated (setup client listener object) ● Highly scalable database ● Multi-regional data replication ● Strong consistency (vs. eventual consistency): read your writes! Cloud Firestore key features Cloud Firestore data model collections subcollections
  • 25. Cloud Firestore straightforward querying github.com/GoogleCloudPlatform/python-docs-samples/blob/master/firestore/cloud-client/snippets.py Storing and Analyzing Data: BigQuery Google BigQuery: fully-managed data warehouse for large-scale data analytics with built-in machine learning (BQML); issue SQL queries across multi-terabytes of data. BQ Sandbox lets anyone query up to 1TB/mo for free with no obligation cloud.google.com/bigquery
  • 26. BigQuery: querying Shakespeare words TITLE = "The most common words in all of Shakespeare's works" QUERY = ''' SELECT LOWER(word) AS word, sum(word_count) AS count FROM [bigquery-public-data:samples.shakespeare] GROUP BY word ORDER BY count DESC LIMIT 10 ''' rsp = BQ.jobs().query(body={'query': QUERY}, projectId=PROJ_ID).execute() print('n*** Results for %r:n' % TITLE) print('t'.join(col['name'].upper() # HEADERS for col in rsp['schema']['fields'])) print('n'.join('t'.join(str(col['v']) # DATA for col in row['f']) for row in rsp['rows'])) Top 10 most common Shakespeare words $ python bq_shake.py *** Results for "The most common words in all of Shakespeare's works": WORD COUNT the 29801 and 27529 i 21029 to 20957 of 18514 a 15370 you 14010 my 12936 in 11722 that 11519
  • 27. ● BigQuery public data sets: cloud.google.com/bigquery/public-data ● BQ sandbox (1TB/mo free): cloud.google.com/bigquery/docs/sandbox (see blog post) ● Other public data sets: cloud.google.com/public-datasets (Google Cloud), research.google/tools/datasets (Google Research), and Kaggle (kaggle.com) ● COVID-19 BigQuery data sets ○ How to use our data sets (see blog post) ○ JHU Coronavirus COVID-19 Global Cases data set ○ List of all COVID-19 data sets ● Cloud Life Sciences API: cloud.google.com/life-sciences (see blog post) ● Cloud Healthcare API: cloud.google.com/healthcare (see blog post) BigQuery and public data sets Google Workspace: Google Sheets Sheets API gives you programmatic access to spreadsheets; perform (w/code) almost any action you can do from the web interface as a user developers.google.com/sheets
  • 28. 06 Inspiration Use multiple Google APIs to create unique solutions Hangouts Chat Productivity Tracker Chat bot that's GCP & Google Workspace (formerly G Suite) aware
  • 29. Productivity tracker Hangouts Chat bot Google Workspace (formerly G Suite) GCP Sheets Natural Language START or LOG END Hangouts Chat App Engine Cloud SQL
  • 30. App summary ● Motivation ● Do coding contract jobs during school year ● Needed to track time spent on work (and non-work) ● Who doesn't want to be more productive? ● Hangouts Chat bot framework & API... build bots to: ● Automate workflows ● Query for information ● Other heavy-lifting ● Google Workspace (formerly G Suite) app that leverages app-hosting, NL processing, and storage tools from GCP ● Application source code ● github.com/gsuitedevs/hangouts-chat-samples/tree/master/python/productivity_tracker ● Presented at GDG Silicon Valley (Aug 2018) ● meetup.com/gdg-silicon-valley/events/252858660 Cloud image processing workflow Archive and analyze Google Workspace (formerly G Suite) images with GCP
  • 32. Image: Gerd Altmann from Pixabay
  • 33. Cloud Vision Google Workspace GCP Cloud image processing workflow Cloud Storage Drive Sheets Archive image Categorize image Record results
  • 34. ● Project goal: Imagining an actual enterprise use case and solve it! ● Specific goals: free-up highly-utilized resource, archive data to colder/cheaper storage, analyze images, generate report for mgmt ● Download image binary from Google Drive ● Upload object to Cloud Storage bucket ● Send payload for analysis by Cloud Vision ● Write back-up location & analysis results into Google Sheets ● Blog post: goo.gle/3nPxmlc (original post); Cloud X-post ● Codelab: free, online, self-paced, hands-on tutorial ● g.co/codelabs/drive-gcs-vision-sheets ● Application source code ● github.com/wescpy/analyze_gsimg App summary 07 Wrap-up Summary & resources
  • 35. Summary: Google developer tools ● Google provides more than just apps ○ More than search, YouTube, Android, Chrome, Gmail, and Docs ○ Google technology & integration available to developers via APIs ● Tour of Google (Cloud) APIs & developer tools ○ GWS: not just a set of productivity apps… you can code them too! ○ GCP: compute, storage, networking, security, data & machine learning tools ■ Serverless: frees developers from infrastructure ■ So you can focus on building solutions ● Interesting possibilities when using >1 Google product families/APIs ● With Google: run your apps, analyze & store your data Other Google APIs & platforms ● Google Workspace (G Suite) (code Gmail, Drive, Docs, Sheets, Slides!) ○ developers.google.com/gsuite ● Firebase (mobile development platform and RT DB plus ML-Kit) ○ firebase.google.com and firebase.google.com/docs/ml-kit ● Google Data Studio (data visualization, dashboards, etc.) ○ datastudio.google.com/overview ○ goo.gle/datastudio-course ● Actions on Google/Assistant/DialogFlow (voice apps) ○ developers.google.com/actions ● YouTube (Data, Analytics, and Livestreaming APIs) ○ developers.google.com/youtube ● Google Maps (Maps, Routes, and Places APIs) ○ developers.google.com/maps ● Flutter (native apps [Android, iOS, web] w/1 code base[!]) ○ flutter.dev
  • 36. ● Documentation (most APIs have "Quickstarts") ○ GCP: cloud.google.com/{docs,appengine,functions,run,vision,automl,translate,language, speech,texttospeech,video-intelligence,firestore,bigquery,compute,storage,gpu,tpu} ○ GWS: developers.google.com/{gsuite,drive,calendar,gmail,docs,sheets,slides,apps-script} ● Introductory "codelabs" ([free] self-paced, hands-on tutorials) ○ GWS APIs: g.co/codelabs/gsuite-apis-intro (featuring Drive API) ○ Apps Script: g.co/codelabs/apps-script-intro ○ App Engine: codelabs.developers.google.com/codelabs/cloud-app-engine-python ○ Cloud Functions: codelabs.developers.google.com/codelabs/cloud-starting-cloudfunctions ○ Cloud Run: codelabs.developers.google.com/codelabs/cloud-run-hello-python3 ○ Others: g.co/codelabs (all Google codelabs) and g.co/codelabs/cloud (GCP-only) ● Videos: youtube.com/GoogleCloudPlatform (GCP) and goo.gl/JpBQ40 (GWS) ● Code samples: github.com/GoogleCloudPlatform (GCP) and github.com/googleworkspace (GWS) ● Cloud Free Trial (new users) and Always Free (daily/monthly tier) programs: cloud.google.com/free ● Know AWS/Azure? Compare with GCP products at cloud.google.com/docs/compare/aws ● Language support: cloud.google.com/{python,java,nodejs,go,php,ruby,dotnet} Resources (industry) ● Google Cloud (GCP) ○ Code samples for students: goo.gle/hackathon-toolkit ○ Videos: youtube.com/GoogleCloudPlatform ○ Codelabs (free, self-paced, hands-on tutorials): g.co/codelabs/cloud ○ Cloud Skills Boost/QwikLabs (free only for students): go.qwiklabs.com/hey-student ● GCP docs/quickstarts - cloud.google.com/{docs,appengine,functions,run,vision,automl,translate, language, speech,texttospeech,video-intelligence,firestore,bigquery,compute,storage,gpu,tpu} ● Like GCP? Wanna use it in class or your research lab? Send your profs to cloud.google.com/edu to apply for GCP teaching/research or Cloud Skills Boost/Qwiklabs/training credits! ● Know AWS/Azure? Compare w/GCP at cloud.google.com/docs/compare/aws ● GCP Free Trial (ignore) and Always Free (tier) - cloud.google.com/free ● Mobile apps: Firebase - firebase.google.com and Flutter - flutter.dev ● Workspace - developers.google.com/{workspace,drive,docs,sheets,slides} and goo.gl/JpBQ40 ● Other Google (non-GCP) codelabs: g.co/codelabs ● Developer Student Clubs - g.co/dev/dsc - Global Google student developer groups ● Internships & other career stuff - google.com/students Resources (students)
  • 37. Prepare for careers in a cloud-first world. Ask your faculty to apply now. g.co/edu/cloudready Career Readiness track: certification On-demand Get free access to Architecting with Google Compute Engine specialization on-demand on Coursera. (100% discount) Self-paced labs Get free access to relevant Google Cloud quests & other Cloud Skills Boost self-paced labs powered by Qwiklabs. (100% discount: 10+ labs) Google Cloud Certified Prepare to take the exam and earn your Cloud certification. (100% discount for faculty, 50% discount for students per adherence to timelines and other criteria) Careers at Google Software Engineer (SWE): not the only technical role @Google ● Application Engineer ● Business Analyst ● Developer Advocate (DA) ● Developer Programs Engineer (DPE) ● Hardware Engineer ● Mechanical Engineer ● Network Engineer ● Product Manager (PM) ● Program Manager (PgM or TPM) ● Quantitative Analyst (Quant) ● Release Engineer ● Research Scientist ● Security Engineer ● Site Reliability Engineer (SRE) ● Software Engineer in Test (SET) ● System Administrator ● Technical Writer (TW) ● UX Content Strategist ● UX Designer ● UX Engineer ● Student careers: google.com/students ● Technical development guide: g.co/techdevguide ● Sample technical interview
  • 38. Bring me to your organization ... it is my job to help you! ● "Transfer of Info" tech talks ● Half- or full-day seminars ● Hands-on "codelab" workshops ● Multi-day training courses ● Engineering consulting ● Migration strategy & planning ● cyberwebconsulting.com ● appenginemigration.com Slides you're looking at them now Work cyberwebconsulting.com Books corepython.com Blog dev.to/wescpy Img proc post goo.gle/3nPxmlc GCP+GWS 101 (2019) youtu.be/ri8Bfptgo9Q ...& 102 talks (2023) youtu.be/3IQ4Yv80lJg Progress bars goo.gl/69EJVw Thank you! Questions? Wesley Chun Principal Consultant, CyberWeb Python, GCP & GWS specialist @wescpy (Tw/X, SO, GH, IG, LI)