Introductory guided lab for exploring the Microsoft Sentinel SIEM/SOAR platform and its core capabilities.

Step-by-step guide for connecting data sources to Microsoft Sentinel using built-in data connectors.

Hands-on exploration of document processing workflows using Azure AI Document Intelligence Studio.

Guided lab for building a conversational bot using Microsoft Bot Framework SDK and Azure services.

Lab guide for extracting visual intelligence from images using Azure AI Vision cognitive services.

Guided walkthrough for designing and training machine learning models in Azure ML Studio.

Replacement module covering the full ML lifecycle — training, evaluation, and deployment in Azure.

Developer guide for embedding the Azure AI Immersive Reader into web applications using the JavaScript SDK.

Prompt engineering lab focusing on best practices for crafting effective prompts in Azure OpenAI Studio.

Curriculum layout and technical prep resources designed for AWS Certified Cloud Practitioner study pathways.

Proof-of-concept lab for performing natural language processing on text data using Amazon Comprehend.

Lab manual for using Google Gemini in Gmail to draft, summarize, and manage email more efficiently.

Hands-on lab for leveraging Gemini AI within Google Docs to generate, edit, and enhance written content.

Lab manual for using Gemini AI in Google Sheets to analyze data, build formulas, and generate insights.

Lab guide for building AI-enhanced presentations and video content using Gemini in Google Slides and Vids.

Lab manual for using Gemini AI in Google Drive and Keep to organize files, notes, and content workflows.

Practical guide for using Chrome AI Mode with Gemini to accelerate research and planning workflows.

Lab manual covering AI-generated image creation using Google Gemini within the Workspace ecosystem.

Hands-on lab for creating short-form viral video content using Google Gemini Veo video generation model.

Advanced lab manual for mastering Google Gemini Gems — custom AI personas for specialized tasks.

Guided lab for understanding Git staging, committing, and tracking local file changes effectively.

Lab guide for branching strategies, merging workflows, and resolving conflicts in Git.

Guided module covering remote collaboration, GitHub pull requests, and code review workflows.

Advanced lab applying real-world Git workflows to build and manage a complete software project.

Guided introduction to using GitHub Copilot inline suggestions for faster code writing.

Lab for configuring Git settings, .gitignore rules, and managing global and local Git behavior.

Advanced Git lab covering rebase workflows, stashing changes, and cherry-picking commits.

Guided lab for using GitHub Copilot to generate class structures from natural language prompts.

Python-focused lab for implementing application features with GitHub Copilot AI assistance.

Lab guide for generating comprehensive unit test suites automatically using GitHub Copilot.

Lab for auto-generating inline comments and docstrings across a codebase using GitHub Copilot.

Guided lab for building a complete REST API client using GitHub Copilot code generation.

Lab guide for identifying and applying code refactoring improvements in Python with Copilot assistance.

Guided lab for building automated CI pipelines using GitHub Actions with Copilot-generated workflow files.

Advanced Copilot lab focused on code optimization, performance improvements, and clean code principles.

In-depth lesson outline and storyboard addressing database structure, table management, and data consistency models.

Guided template and process guide for designing and building Skillable-style challenge lab experiences.

Comprehensive catering operations manual covering the 4 P's framework — an early instructional design sample.