September 2025

A promotional graphic for a "Zero to Hero in 26 Days" course focused on becoming a Deep Learning & AI Engineer. The left side includes the CuriosityTech logo, a cloud icon, and text comparing AI Engineer vs Machine Learning Engineer. The right side features a holographic globe with data visualizations and a robotic hand.

Day 2 – AI Engineer vs Machine Learning Engineer_ Key Differences

As AI careers boom in 2025, two roles dominate conversations: AI Engineer and Machine Learning (ML) Engineer. Both are highly paid, highly in-demand, and deeply interconnected — but they are not the same.

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A promotional graphic for a "Zero to Hero in 26 Days" course focused on becoming a Dev-Ops Engineer. The left side includes the CuriosityTech logo, a cloud icon, and text comparing DevOps vs Agile vs Traditional IT. The right side shows a person working at a desk with multiple monitors displaying code.

Day 2 – Data Analyst vs Data Scientist vs Business Analyst Explained

hoosing between Data Analyst, Data Scientist, and Business Analyst is not about which job is “better,” but which job fits your strengths and career goals. In 2025, all three roles are in high demand—and often work hand in hand.

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A promotional graphic for a "Zero to Hero in 26 Days" course focused on becoming a Cloud Engineer (Multi-Cloud). The left side features the CuriosityTech logo, a cloud icon, and text explaining multi-cloud vs hybrid cloud differences. The right side shows a laptop screen with Google Cloud and Azure logos, and a person working on it.

Day 2 – DevOps vs Agile vs Traditional IT_ Key Differences Explained

In today’s rapidly evolving digital landscape, organizations are constantly seeking methodologies to improve efficiency, reduce downtime, and accelerate delivery. But choosing the right approach—whether DevOps, Agile, or Traditional IT—can be daunting. Each methodology comes with its own philosophy, processes, and tools. Understanding these differences is crucial for businesses and IT professionals alike.

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A promotional graphic for a "Zero to Hero in 26 Days" course focused on becoming a Cloud Engineer (Azure). The left side includes the CuriosityTech logo, a cloud icon, and text comparing Azure vs AWS vs GCP, asking which cloud platform to choose. The right side displays a holographic Azure logo and cloud imagery.

Day 2 – AWS vs Azure vs GCP_ Key Differences Explained

In today’s cloud-driven era, understanding the differences between the top cloud providers is crucial for businesses, developers, and IT professionals. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market, each offering unique advantages, pricing models, and services. Whether you are a beginner exploring cloud computing or a professional aiming to choose the right cloud for your enterprise, grasping these differences is essential.

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A promotional graphic for a "Zero to Hero in 26 Days" course focused on becoming a Cloud Engineer (AWS). The left side features the CuriosityTech logo, a cloud icon, and text highlighting an AWS services overview including EC2, S3, RDS, and Lambda. The right side shows a hand interacting with a holographic AWS logo and cloud imagery.

Day 2 – AWS Services Overview_ EC2, S3, RDS, Lambda Explained

As organizations worldwide continue to migrate to the cloud, Amazon Web Services (AWS) stands out as a dominant platform offering a vast ecosystem of services. Understanding the core AWS services is the foundation for anyone aiming to become proficient in cloud computing. Welcome to Day 2 of our AWS learning journey, where we explore four critical services: EC2, S3, RDS, and Lambda. This blog will provide an in-depth exploration, with practical insights, best practices, and guidance to help beginners evolve into experts.

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