Kleber Rogerio Duda

Software Engineer, coder and AI orchestrator.

[Kleber Rogerio Duda @klduda]

@R38TAO Para os que reclamam da Meloni, a jurisdicāo italiana segue a legislacāo de Bruxelas, cansei de ver o governo italiano levar toco de juízes em qualquer tentativa de lidar com a questāo de imigrantes.

[freeCodeCamp.org @freeCodeCamp]

If you want to get into Machine Learning, a solid foundation in Linear Algebra is key.

It'll help you understand how deep learning models, optimization algorithms, & computer vision work under the hood.

In this course, you'll learn about matrices & vectors, determinants & inverses, Eigenvalues & Eigenvectors, & lots more.

https://t.co/xDT7QhLXnw

[Python Coding @clcoding]

Python for LINUX System Administration
https://t.co/nMPYW2TbAi

[Jayen Thakker @JayenThakker]

SQL Execution Order
@MetricMindsIn

[Andrew Bolis @AndrewBolis]

AI skills will be crucial for years to come.

Knowing how to use ChatGPT isn’t enough.

Learn these AI skills to future-proof your career:

(remember to 🔖 bookmark for later)

1. Prompt Engineering:
Write better instructions to help AI tools give you exactly what you need.

2. AI Workflow Automation:
Link different apps together to help you complete tasks automatically.

3. AI Agents:
Use AI systems that act like teammates to handle tasks together.

4. Retrieval Augmented Generation (RAG):
Link AI chatbots to your private files for more accurate answers.

5. Multimodal AI:
Use AI that understands pictures, sounds, and text all at once.

6. Fine-Tuning and AI Assistants:
Build custom AI models or assistants tailored to your needs.

7. Voice AI and Avatars:
Make realistic AI voices and avatars for videos and presentations.

8. AI Tool Stacking:
Use tools like Notion, Zapier, and ChatGPT together to work faster.

9. AI Video Content Generation:
Turn your ideas or blog posts into professional videos using AI.

10. SaaS Development:
Build small AI-powered apps using no-code tools.

11. LLM Management:
Keep track of how well your AI tools are working and what they cost.

12. Stay Updated:
Follow top AI news sites to stay ahead of trends and new tools.

AI won’t replace you.
But someone with AI skills might.

📌 Learn 30 free AI tools in 30 days: https://t.co/aQPCqeNs0H

👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others learn AI

[Python Developer @PythonDvz]

Important Python Concepts

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

[Tobias Schmidt @tpschmidt_]

I've finally understood the Confused Deputy Problem at AWS IAM after reading Rowan's The Practical AWS IAM Guide.

Summary: If a user with limited permissions is allowed to use ⁠iam:PassRole on roles with wide permissions, they can easily escalate permissions 🔓

[Tech Fusionist @techyoutbe]

DevOps Pipeline 🚀☁️

[TRÄW🤟 @thatstraw]

How Address Resolution Protocol (ARP) works

[Javarevisited @javarevisited]

10 Must-Read AI and LLM Engineering Books for Developers in 2025
1. AI Engineering by Chip Huyen - https://t.co/mccVtawXiQ
2. The LLM Engineering Handbook by Paul Iusztin and Maxime Labonne - https://t.co/4ZKi54APbH
3. Designing Machine Learning Systems by Chip Huyen - https://t.co/mXPxaB5Z9h

#AI #ArtificialIntelligence #Books #LLM

[Tech with Mak @techNmak]

Scalable, reliable, forgetful => that’s the beauty of stateless services.

When the state is pushed out of the app:
- Deployments get boring (in a good way)
- Failures isolate cleanly
- Scaling stops being heroic

But statelessness isn’t just about removing things, it’s about designing with the right patterns: token auth, distributed caches, sagas, retries, and observability that actually tells you something.

If you're still wrestling with sticky sessions or instance-bound metrics, it might be time to rethink.

What’s the hardest stateless pattern you’ve had to implement?

#letsconnect
@techNmak

[Kube Architect @K8sArchitect]

Helmfile is a declarative spec for deploying Helm charts. It lets you:

- Keep a directory of chart value files and maintain changes in version control
- Apply CI/CD to configuration changes
- Periodically sync to avoid skew in environments

➤ https://t.co/QcYv7JUR94

[Nikki Siapno @NikkiSiapno]

Elasticsearch explained: 🧵🔖

[Tobias Schmidt @tpschmidt_]

Do you know the core concepts of AWS IAM?
Or is it mostly a "where to add another wildcard policy to make this work?" ⚡️

If it's the latter one, please have a read of this summary for maybe the most important concept in AWS IAM: Roles 🔐

[🥱 Sleepy (ML/DL) @KrishnaNaraKun]

ML for Beginners - Regression Analysis

This course builds a very strong foundation of Machine Learning, based on regression analysis, taught by Ayush Singh

9 hour intense course, starting from basics to advanced level projects ( 2 projects ).

Link in comments 😎👇

[Javarevisited @javarevisited]

If you want to become good at system design, learn these concepts:
1. API Gateway vs Load Balancer? https://t.co/RZ1E8M0LbU
2. Reverse Proxy vs Forward Proxy? https://t.co/i47UVu9VmB
3. Horizontal scaling vs vertical scaling? https://t.co/vZIOZQ83zd
4. Microservices vs Monolithic architecture? https://t.co/jRN3Td8UMb

[Python Coding @clcoding]

🚀 Check Your Internet Speed Using Python in Seconds!

[sysxplore @sysxplore]

Linux Admin Tips🐧

[Python Developer @PythonDvz]

The Modern AI Ecosystem

#python #datascience #machinelearning #deeplearning #ai #artificialintelligence #programming #developer #softwaredeveloper #computerscience #calculus #linearalgebra #algebra #maths #mathematics

[Tech with Mak @techNmak]

What is MQTT?

MQTT (originally "Message Queuing Telemetry Transport")

=> a lightweight, publish-subscribe messaging protocol.

=> designed for fast, efficient, and reliable communication between devices, especially in environments with limited bandwidth and high latency

=> uses a broker to route messages from publishers (devices sending data) to subscribers (devices or apps interested in that data) without them needing to know about each other

📌 Some History

=> Invented in 1999 by Andy Stanford-Clark (IBM) and Arlen Nipper (Arcom) for monitoring oil pipelines over unreliable satellite links

The main goal => minimal bandwidth use and battery consumption.

=> IBM released MQTT 3.1 as an open protocol in 2010
=> Standardized by OASIS in 2013
=> MQTT 5 released in 2019

Today, MQTT is the de facto standard for IoT messaging and is widely used across industries.

📌 Real-World Use Case

Smart Home Automation
=> A smart thermostat publishes temperature data to an MQTT broker.
=> Smart lights or HVAC systems subscribe to that data and adjust settings automatically.
=> Homeowners can control and monitor all devices from a single app.

Other major use cases
=> Industrial IoT
=> fleet management
=> smart grids
=> healthcare (remote monitoring)
=> agriculture
=> logistics

-----------

🗞️ Follow - @techNmak