Mastery AI Apps Dev Workshop: Jumpstart your journey into AI-powered app development! This hands-on workshop guides you through building real-world applications using cutting-edge AI tools and cloud technologies. Perfect for beginners and enthusiasts eager to turn ideas into powerful solutions. Join us and master the future of app development!

Master AI Challenge is a repository with two hands-on coding challenges focused on Artificial Intelligence and automation. Designed for learners and developers, these challenges aim to strengthen skills in Python, Shell scripting, data processing, and workflow automation. Fork the repo, solve the challenges, and enhance your AI and coding expertise

Hands-on workshop on implementing AI-powered coding solutions for enterprise apps using GitHub Copilot, Azure AI, and agentic DevOps. Boost productivity, code quality, and delivery with intelligent automation.

Automate front-end development: a hands-on workshop using Figma, GitHub Copilot, and Azure AI to turn designs into code quickly and consistently.

A comprehensive guide for modernizing mainframe applications (IBM z/OS, Unisys, GCOS, ACOS) using Azure AI Foundry with GitHub and Azure DevOps, preserving existing investments while enabling modern DevOps and AI capabilities.

Figma-to-code: converta designs Figma em código limpo e responsivo rapidamente. Facilita a transformação de protótipos UI/UX em HTML, CSS e JavaScript prontos para produção, promovendo colaboração entre devs e designers. Ideal para prototipagem, geração de código e integração design-dev.

Secure-Code-AI-Dev is a project focused on leveraging AI to help developers write secure code. It provides tools, examples, and best practices to identify vulnerabilities and improve code quality. The goal is to make security an integral part of the development process for individuals and teams.

Agentic Operations & Observability Workshop: Hands-on guide for implementing AI-enhanced observability in cloud apps using Azure Monitor, Application Insights, and Azure SRE Agent. Covers metrics, logs, traces, multi-cloud monitoring, and agentic DevOps best practices.

This playbook provides a comprehensive, implementation-focused guide for developing, deploying, and maintaining Large Language Model (LLM) systems on Azure Databricks. The playbook covers everything from initial environment setup to advanced monitoring techniques, with practical examples that apply across industries.

A comprehensive guide for implementing SAP-GitHub integration, featuring step-by-step tutorials for version control, collaborative development, and CI/CD workflows for SAP development objects.