7 IT Career Paths: Where to Begin in Tech

Think of IT as a giant machine, where each role has its own essential function. Some people are drawn to creativity, others to data, and some to security or systems architecture. Below, we explain each path in simple terms and share how you can get started.

Frontend is the face of any digital product. It's the frontend developer who brings designs to life, adds interactive features, and makes sure everything looks and works great on different devices. Without frontend development, a website is just a static design — like a picture.

This path is perfect for those who enjoy visual results, have a creative side, and want to work directly with user interfaces.

The first step toward becoming a frontend developer is learning HTML, CSS, and JavaScript. From there, you'll dive into frameworks, libraries, and real-world projects.

We offer courses to help you master the essentials:

HTML Essentials
CSS Fundamentals
Introduction to JavaScript

Backend is all about the logic, processing, databases, and server-side communication. Everything from user registrations to purchases happens here. Without the backend, a website is just a good-looking shell without real functionality.

This path suits those who think logically, appreciate structure, and are curious about how things work under the hood.

Popular languages to start with include Python and Java. You'll also need to learn about databases, APIs, and server technologies.

Our courses will get you started with the right tools:

Java Basics
Introduction to Python
Introduction to SQL

No product goes live without testing. QA specialists ensure everything works smoothly — checking for bugs, making sure the product is user-friendly, and testing new updates to prevent issues.

This is a great path for those who are detail-oriented and want to enter tech without heavy coding, while still being an important part of the team. You can start with manual testing and grow into automated testing over time.

Get started with our QA courses:

Introduction to QA Automation Testing
Introduction to Manual Testing & QA in Web Development

UI/UX is all about the user experience. A website can look amazing, but if it's hard to use — it's a fail. UI/UX designers focus on how things look and feel, creating logical interfaces, choosing the right colors, fonts, shapes, and making sure the product delivers the right emotional impact.

This path is perfect for creative thinkers with an eye for design who want to shape how people interact with digital products.

To get started, you'll need to understand the basics of design — and a great place to begin is learning Figma.

Check out our course to get started:

UI/UX Design with Figma

Companies generate gigabytes of data every day — and data analysts and data scientists help make sense of it all. They uncover trends, figure out what sells, what drives profit, and how customer behavior is shifting. It's all about turning raw numbers into smart business decisions.

This field is great for those who love math, spreadsheets, numbers, and finding patterns in data. You can start with tools like Excel and SQL, then move on to Python, Power BI, or even machine learning.

We offer courses to help you build those skills:

Introduction to Python
Excel for Beginners
Data Analysis with Excel
Introduction to SQL
Introduction to Power BI

As the world goes digital, the number of cyber threats grows — from data breaches and fraud to hacking attacks. Cybersecurity specialists identify risks, build protection systems, and test networks for vulnerabilities.

If you're drawn to problem-solving, thinking several steps ahead, and protecting digital systems, this is a fast-growing field that always needs new experts.

To get started, you'll need a basic understanding of networks, types of attacks, and core security principles.

We offer a course to help you begin your journey:

Cyber Security Fundamentals

Machine Learning (ML) is a technology that enables computers to learn from data, recognize patterns, and make predictions. It powers voice assistants, spam filters, Netflix recommendations, and even text generators.

This path is ideal for those who love math, logic, and data analysis — and want to build intelligent systems that can learn on their own.

Most people start with Python and libraries like Scikit-learn, then gradually build their own models.

Get started with our courses:

Introduction to Python
ML Introduction with scikit-learn
Classification with Python
Introduction to Neural Networks

These seven paths are just the beginning — a solid foundation to launch your journey.

Choose the one that best fits your interests and way of thinking, and gradually dive deeper. Each of them offers countless opportunities for growth and development.