Curiosity Tech

A promotional graphic for a "Zero to Hero in 26 Days" course on IoT Engineer, comparing IoT Engineer vs Embedded Systems Engineer. The left side includes the Curiosity Tech logo and text with IoT-related icons, while the right side shows a person working with electronic circuits, a laptop, and a multimeter.

Day 2 – IoT Engineer vs Embedded Systems Engineer: Key Differences Explained

When I started my journey as an embedded systems designer almost two decades ago, the industry was focused heavily on writing firmware for individual devices — controlling motors, reading sensor data, and ensuring microcontrollers ran efficiently. That was the world of embedded systems engineering. Fast forward to today, an IoT engineer’s role is dramatically different: it requires not only building devices but also ensuring they communicate securely across networks, integrate with cloud systems, and generate actionable insights.

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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.

Day 2 – DevOps vs Agile vs Traditional IT_ Key Differences Explained Read More »

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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.

Day 2 – AWS vs Azure vs GCP_ Key Differences Explained Read More »

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