Bicep vs Terraform in 2026: how to choose for Azure
Bicep or Terraform for Azure? Compare ARM deployments, state, AzureRM and AzAPI, modules, licensing, and the workflow your team will operate.
Join me on a journey where every post brings a fresh perspective. This blog is for those who are driven by curiosity and a desire to learn.
Bicep or Terraform for Azure? Compare ARM deployments, state, AzureRM and AzAPI, modules, licensing, and the workflow your team will operate.
How I transformed a basic Terraform configuration into a sophisticated infrastructure-as-code solution with modules, testing, CI/CD, and governance.
Final part of our AI project validation series. Learn how to define success metrics, run effective pilot projects, and review key takeaways for successful AI implementation.
Part 2 of our AI project validation series. See the decision framework in action with examples and explore key ethical risks like bias, privacy, and workforce impact.
Part 1 of our series on validating AI projects. Learn a structured decision tree framework to assess strategic alignment, business impact, and ROI.
An overview of a typical machine learning workflow for image classification, covering problem definition, ML type, tooling, data preparation, model training, and deployment using TensorFlow, Flask, and Docker.
Explore the Model Context Protocol (MCP), a groundbreaking standard for AI integration, enabling seamless interaction between AI models and external data sources.