Is a new career on the horizon?
Broward County’s boating and yachting industry is going full speed ahead, and local employers are ready to meet you!
Join us for the CareerSource Broward Marine Industry Job Fair on June 24 from 10 AM to Noon.
CareerSource Broward Central Center
2550 W. Oakland Park Blvd.
Oakland Park, FL 33311
A big shoutout to just some of the marine employers already signed up:
Derecktor
Bradford Marine
Marine Industries Association of South Florida
Advanced Mechanical Enterprises
EC Ruff Marine
FASSMER Services America
Gillen Yacht Services
Job seekers, register here: https://t.co/dq7tD1Rdd9
Marine industry employers interested in participating can register here: https://t.co/ksa6oteTjI
#CareerSourceBroward #MarineJobs #BrowardJobs #YachtingIndustry #BoatingIndustry #JobFair #HiringNow #OaklandPark #CareerOpportunities
SSO vs OAuth vs OIDC vs SAML
𝗦𝗦𝗢 is a user experience, not a protocol. It lets users log in once and access multiple apps without re-authenticating; providing seamless access across tools. It relies on protocols like SAML or OIDC.
𝗢𝗔𝘂𝘁𝗵 is for authorization. It lets apps access user data or services without sharing credentials. It controls what an app can access, not identity.
𝗢𝗜𝗗𝗖 is an authentication layer on top of OAuth 2.0. It verifies user identity and provides user info via ID tokens (usually JWTs). It’s the standard for login + identity in modern apps.
𝗦𝗔𝗠𝗟 is an older, XML-based authentication protocol used for enterprise SSO. It’s still widely used in legacy and enterprise systems, though newer applications increasingly adopt OIDC. It’s powerful but more complex than OIDC.
If you remember one thing: OAuth = access, OIDC = identity, SAML = enterprise SSO, SSO = the experience.
Learn more here: https://t.co/sNCN5cdt6V
What else would you add?
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♻️ Repost to help others learn system design.
➕ Follow me ( Nikki Siapno ) + turn on notifications.
Coral Springs High kicked off Summer ESY @principalCSHS with Intern Principal Dallas @FloranadaES and the 🌺Dream Team! They surfed 🏄🏽us through the waves 🌊of the day. @blanche_ely had a few Tigers in the building and @RoweTawann48479 as Assist. Principal Intern. @BCPSLeadership
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Is your startup automated for processing? ⏳➡️💸
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Have you automated your website? You should!
Let automation handle the tedious processes while you drive the traffic.
Build your workflow pipeline to convert social engagement into online sales.
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Flashy websites with no automation equal no sales.
Pivot from a static page to an automated processing engine:
Social Media ➜ Sales Page ➜ Checkout ➜ Delivery
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Does your business have a POS system? It Should!
Don't let potential sales slip through the cracks. 📉
Assemble a low-cost automated workflow that gives customers instant access.
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Let software execute your multi-step workflows 24/7. 🏖️
Transform manual tracking into automated loops. Test product deliverables using AI-driven software and see how we maintain consistent context without the grind.
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Equip your startup with an automated workflow? ⏳➡️💸
Saving you time from tedious manual processes. By incorporating automation software, you discover how we build our own automated pipeline online.
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Automation isn’t magic—it’s system assembling. 📊
True scalability requires an engine that handles fulfillment while you drive traffic.
Build a workflow pipeline that converts social attention into verified sales.
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A flashy website looks good, but does it generate income? 🏗️
Pivot from unresponsive to an automated workflow:
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Low cost with minimal tech headaches.
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Don't let manual procedures slow down your business. 📉
Build an affordable automated workflow utilizing the following software:
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Want to become a Claude Certified Architect in 6 weeks? 🚀
Here’s a simple roadmap to go from beginner → builder → certified 👇
📅 Week 1 — Learn the Basics Master the essentials: • Claude API
• MCP (Model Context Protocol)
• Claude Code
• Claude fundamentals
If Machine Learning and Deep Learning are both part of AI, why do people keep talking about them like they're completely different things?
🧠 Machine Learning is like teaching a student with notes, examples, and clear instructions.
🧠 Deep Learning is like giving that student millions of examples and letting them figure out the patterns on their own.
Some key differences:
✅ Machine Learning works great with structured data like spreadsheets and business records.
✅ It needs less data and less computing power.
✅ It's usually easier to understand why it made a decision.
On the other hand
🚀 Deep Learning shines when dealing with images, videos, text, and speech.
🚀 It can automatically learn important features from data.
🚀 It often delivers better results for complex problems, but it needs a lot more data and computing power.
Think of it this way:
📊 Credit scoring? Machine Learning.
📸 Face recognition? Deep Learning.
🎯 Customer segmentation? Machine Learning.
🎙️ Speech recognition? Deep Learning.
The biggest mistake I see people make is assuming Deep Learning is always better.
It's not.
The best choice depends on your data, your resources, and the problem you're trying to solve.
Sometimes the simpler model wins.
P. S. Which one have you worked with before: Machine Learning, Deep Learning, or you're just getting started with AI?
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