Code Labs Academy

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Code Labs Academy is an international coding school offering bootcamps with one-on-one career coaching. Whether you're looking to switch careers, upskill, or launch a start-up, we’ve got you covered! From Cybersecurity and Data Science & AI to UX/UI Design and Web Development, our hands-on courses prepare you for the future. Follow us for updates on our bootcamps, blogs, tech news, and more!
#tech #coding
Cyber Securityhttps://codelabsacademy.com/en/courses/cybersecurity?source=mastodon
Data Science & AIhttps://codelabsacademy.com/en/courses/data-science-and-ai?source=mastodon
UX/UI Designhttps://codelabsacademy.com/en/courses/ux-ui-design?source=mastodon
Web Developmenthttps://codelabsacademy.com/en/courses/web-development?source=mastodon

A strong UX research plan helps you move from guesswork to real user insights. Learn how to define objectives, ask better questions, choose methods, and build a clear timeline for your UX projects.

Perfect for UX/UI beginners & career changers.

Read more: https://codelabsacademy.com/en/blog/ux-research-plan-template-questions-methods-timeline?source=mastodon

#UXDesign #UXResearch #UXUI #TechSkills #CareerChange #Portfolio

UX Research Plan Template: Questions & Timeline Guide

Learn how to create a UX research plan template with questions, methods, and a timeline. Start building job-ready UX skills today.

Build cleaner, more accessible interfaces with a practical UI design checklist covering spacing, typography, color, and accessibility.

Perfect for improving portfolio projects and real-world UX skills.

Read more: https://codelabsacademy.com/en/blog/ui-design-checklist-spacing-typography-color-accessibility

#UIUX #Frontend #WebDesign #Accessibility #TechCareer #Portfolio

UI Design Checklist: Spacing, Typography, Color QA

Master UI design checklist essentials spacing, typography, color, and accessibility. Improve your skills and build job-ready UI projects.

Learn to create professional, responsive UI designs with Figma Auto Layout! Master spacing, alignment, resizing, and nested frames to streamline your workflow and build reusable components.

Read the full guide →
https://codelabsacademy.com/en/blog/figma-auto-layout-for-beginners-guide

#Figma #UXUIDesign #Frontend #TechSkills #CareerChange #DesignTips

Figma Auto Layout for Beginners: Simple Guide

Learn Figma Auto Layout for beginners with simple steps, examples, and tips. Build responsive UI designs and start your UX career today.

Landing your first UX role? Learn to structure recruiter-friendly UX case studies that highlight problem-solving, research, and impact. Build portfolio-ready projects and stand out.

Read the full article: https://codelabsacademy.com/en/blog/ux-case-study-template-recruiter-friendly-example?source=mastodon

#UXDesign #Portfolio #CareerChange #UXUI #CodeLabsAcademy

UX Case Study Template (Recruiter-Friendly Guide)

Learn how to create a recruiter-friendly UX case study. Use this template and example to build a strong portfolio and get hired faster.

Satellite archives get difficult long before model training starts. Our new guide shows how to build scalable Earth observation pipelines with STAC, COG, Parquet, Zarr, and ML-ready workflows for climate and agriculture teams.

Useful for #EarthObservation and #RemoteSensing teams building #DataEngineering workflows in the #CloudComputing stack.

Read the full article: https://codelabsacademy.com/en/blog/designing-scalable-earth-observation-data-pipelines-cloud?source=mastodon

Scalable Earth Observation Data Pipelines in the Cloud

Learn how to design scalable Earth observation data pipelines in the cloud using STAC, COG, Parquet, Zarr, and ML-ready geospatial workflows at scale.

In #ClimateTech and #Forecasting work, ranked risk is not enough if the probability is wrong. This guide shows how to use reliability diagrams, Brier scores, and #Python to calibrate heatwave and flood forecasts for real #DataScience and #MachineLearning decisions. Read the full article: https://codelabsacademy.com/en/blog/calibrating-climate-risk-reliability-diagrams-python-extreme-events?source=mastodon

#ClimateTech #DataScience #Python

Calibrating Climate Risk: Reliability Diagrams in Python

Learn how to calibrate climate risk probabilities with reliability diagrams, Brier scores, and Python workflows for heatwaves, floods, and extreme events.

Building smarter grids means coordinating homes, batteries, and operators, not just forecasting load. Our new guide shows how to design a #MultiAgentRL smart-grid simulator in #Python, shape rewards, and evaluate it like a real energy system.

Read the full article: https://codelabsacademy.com/en/blog/multi-agent-rl-smart-grids-python?source=mastodon

#SmartGrids #ClimateTech #PyTorch

Multi-Agent RL for Smart Grids in Python Deep Dive

Learn how to design and simulate multi-agent reinforcement learning for smart grids in Python, covering rewards, training, evaluation, and deployment.

Trying to land your first #SOCAnalyst role? This roadmap breaks down what to learn, which tools to practise (SIEM, EDR, Wireshark), and a 90‑day plan that produces portfolio-ready case notes and detections.

Read the full guide → https://codelabsacademy.com/en/blog/soc-analyst-roadmap-90-day-practice-plan?source=mastodon

For career changers in #Cybersecurity and #BlueTeam, with practical #InfoSec #Upskilling

SOC Analyst Roadmap: 90-Day Practice Plan | Code Labs

Follow this SOC analyst roadmap to build core skills, learn SOC tools, and complete a 90-day practice plan. Build a portfolio and explore Code Labs Academy.

For #Wireshark and #PacketAnalysis in #Networking: this cheat sheet helps you filter DNS failures, TLS handshakes, and TCP retransmits fast, then follow one conversation with stream filters.

Read the full guide: https://codelabsacademy.com/en/blog/wireshark-filters-cheat-sheet?source=mastodon

#Cybersecurity #NetSec

Wireshark Filters Cheat Sheet for Fast Packet Analysis

Use this Wireshark filters cheat sheet to isolate packets fast (DNS, TCP, TLS, HTTP). Learn workflows and explore Code Labs Academy bootcamps.

Climate ML should not just predict - it should admit uncertainty. This guide shows how to separate #Epistemic vs #Aleatoric uncertainty, run #MCDropout, add Bayesian layers, and check calibration in #PyTorch for climate projections.

Read the full article: https://codelabsacademy.com/en/blog/uncertainty-quantification-climate-neural-networks-bayesian-layers-mc-dropout?source=mastodon

#ClimateTech #MachineLearning

Climate NN Uncertainty: Bayesian Layers & MC Dropout

Learn epistemic vs aleatoric uncertainty for climate ML. Implement MC dropout and Bayesian layers in PyTorch to calibrate reliable climate projections.