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Azure DevOps Terraform Project Project Steps & Code: https://selfonlinetraining.wordpress.com/azure-devops-terraform-project/ ...

Join this channel to get access to perks: https://www.youtube.com/channel/UC2h7JI9Sfijk8lAKlG2S6bA/join ⚡ Master the 4 ...

Is your application randomly dropping connections or timing out during traffic spikes? The silent killer is often Database ...

AWS + Azure Deployment via Azure DevOps Pipeline Unlock the full power of Azure DevOps by deploying real cloud resources to ...

In this beginner friendly tutorial we will learn about cloud networking, more specifically networking in Microsoft Azure. All while still ...

Go deep into Terraform internals and advanced DevOps workflows. Learn state file structure, remote state backends, modules, ...

Booking Link for My Live Projects and Programs: https://topmate.io/cloud Join Our WhatsApp Group: ...

In this session, we dive deep into how enterprises build, deploy, automate, and secure modern cloud infrastructure. Whether ...

In this Uplatz explainer, we walk you through the ultimate Project Manager Interview Toolkit — designed to help you prepare for ...

Building a machine learning model is just one step — getting it into production reliably, securely, and at scale requires a complete ...

In this Uplatz explainer, we explore the world of Site Reliability Engineering (SRE) — one of the most in-demand roles in modern ...

In machine learning projects, training is not just about running a script — it involves data ingestion, validation, feature engineering, ...

In machine learning, feature engineering is often the most time-consuming step. But when models go to production, teams ...

In traditional software development, CI/CD pipelines automate building, testing, and deployment. But in machine learning, CI/CD ...

Most ML models never make it to production — and even when they do, they often fail silently as data changes over time.

Training a model in a notebook is just the beginning. The real challenge is getting that model into production, where it serves real ...

In this Uplatz explainer, we present the Agentic AI Engineer Interview Toolkit — built to help you master the skills needed to ...

AI models are getting larger — but deployment environments often have limited memory, compute, or latency requirements.

DevOps transformed software engineering by enabling fast, automated, and reliable deployments. But machine learning brings ...

As machine learning systems move into production, managing updates, deployments, and version control becomes complex.