Trending tech topics & resources

The software development job market has undergone significant changes in recent years, moving from rapid expansion to a period of adjustment. In that environment, tools that increase leverage matter, but only when paired with real AI competence.

AI is no longer a niche capability reserved for engineers and developers. It is becoming a baseline expectation across industries, job functions, and career levels. The professionals who understand that early are the ones who will be better positioned for what comes next.

The job market is changing fast. Technology is reshaping what it means to be work-ready. Skills age quickly, titles blur, and tools shift. The professionals who stay competitive are not the ones with the most credentials. They are the ones who can adapt.

You are either a working engineer looking to specialize in AI or someone from a non-technical background who recognizes that AI skills are becoming a key differentiator. Either way, the options in front of you may feel too slow, too shallow, or too expensive. This blog breaks down what each path actually offers, where the limitations are, and how to choose the right option for your situation.

This article is for people who are currently in non-technical roles, and are asking a more specific question: Is AI engineering a realistic career move for someone without a technical background, and if so, what does the actual path look like?

Furman CIL // Flatiron new Work-Integrated Immersive programs are designed for students who want a high-bar path into building products. Our Immersive students learn through structured coursework and support while also working with an employer as a paid apprentice.

The tech industry moves quickly, and the people who thrive are the ones with a strong grasp of fundamental concepts. These core skills form the backbone of fields like software development, data work, and systems management. They shape how you think, how you solve problems, and how quickly you adapt to new tools. A large-scale study by Harvard Business Review, analyzing 70 million job transitions across more than 1,000 occupations, revealed a clear pattern: workers with strong foundational skills consistently outperform their peers.

The data science field is evolving at a breakneck pace. New papers, tools, and benchmarks emerge every week, making it challenging to stay current. Flatiron School sat down with Frances Cue, a data scientist and AI engineer at Hartford HealthCare and one of our data science facilitators, to discuss practical strategies for keeping up in this fast-moving field.

Cybersecurity isn't just about defending networks anymore. It has become a critical business function that touches every corner of modern organizations. Flatiron School sat down with Bradford Willke, a facilitator and cybersecurity veteran with over 30 years of experience spanning the U.S. Air Force, the Cybersecurity and Infrastructure Security Agency (CISA), and global manufacturing, to explore where cybersecurity fits within today’s organizations and how aspiring professionals can chart their career paths.

With innovation accelerating through machine learning, big data, and automation, it’s natural to wonder where to begin. In this guide, Brendan Patrick Purdy, DS/AI curriculum writer at Flatiron School, demystifies data science and artificial intelligence and helps you define the educational path that best aligns with your career goals.

A growing number of people are reimagining their futures and finding their next chapter in tech. Many individuals from non-tech backgrounds are discovering that transferable skills such as communication, problem-solving, and creativity translate naturally into technical roles. The real challenge is not deciding whether to make the switch, but choosing the tech career that aligns with how you think and work. This blog will guide you through the process of identifying your ideal tech role by offering thoughtful insights to support your journey.

In this blog article, Nathan Wendlowsky, Cybersecurity curriculum writer at Flatiron School, breaks down what cybersecurity actually is and explores the different fields within it. By the end, you’ll see that there’s likely a path that matches your interests and strengths, even if you’ve never worked in tech before.

Thinking about a career in data science but worried about your math skills? You’re not alone. Many people see math as a barrier, but the reality is that the math required to get started is more approachable than you might expect. With a solid foundation and the right guidance, you can build the skills you need, and we’re here to support you every step of the way.

Thinking about transitioning into tech but not sure where to begin? You’re not alone, and we understand exactly how that feels. Making a career change is a bold and empowering decision. Whether you’ve spent years in a different industry or are starting fresh, you already have the drive, determination, and potential to succeed in tech.

Communication is essential in every field, and the world of cybersecurity is no exception. In the digital realm, communication happens through programming languages. Learning these languages is crucial because they allow you to interact with systems, write code to automate a process, and build tools that detect, prevent, or respond to cyber threats.

Are you considering a move into the tech industry but worried that your background doesn’t align with what employers are looking for? It's likely you already have the tools you need to succeed. Transferable skills are your ticket to making a confident and impactful pivot into tech. Skills you've gained through your previous jobs, volunteer work, hobbies, or education can play a major role in your career change.

From automating operations to powering customer experiences, artificial intelligence is changing the way businesses operate. If you're already working with data and want to take the next step toward building machine learning (ML) models or working with large language models (LLMs), check out this step-by-step guide on how to transition from data analyst to AI professional.

Greenville, South Carolina, has emerged as a rising tech hub in the Southeast, making it an ideal location for data professionals. With major corporations like Hubbell Lighting, Michelin North America, and BMW Manufacturing Co. headquartered in the Upstate, plus a growing startup ecosystem, the demand for data talent continues to surge. We hope this guide helps you sparse out the differences between a data scientist and data analyst, so you can decide which career route is the best fit for you.

The cybersecurity landscape changes constantly, leading to new threats and a growing need for skilled cybersecurity professionals. Making a transition into a cybersecurity career may seem daunting, especially for those with no prior technical skills or those who are older members of the workforce. However, coming from a non-technical background is not a barrier in this field, and there are valuable resources available to help you build the technical skills you need for success.

The World Economic Forum’s (WEF) Future of Jobs Report 2025 predicts that by 2030, AI and other information processing technologies will transform 86% of businesses, creating 170 million new roles worldwide while making 92 million existing jobs redundant. While we’re waiting for the job market to find its feet again, the best thing we can do is move fear from our purview and focus instead on preparing for the changing market by upskilling.

The Center for Innovative Leadership (CIL) at Furman is thrilled to announce the launch of a series of accelerated, fully online technology programs in collaboration with Flatiron School—starting July 7! Our first certificate programs are catered toward professionals eager to level up their skills or make a bold career change into Cybersecurity, Artificial Intelligence, Data Science, Game Design or Game Programming.

Maximize your online learning experience and achieve optimal learning outcomes with these 9 essential strategies for success.

Master essential resume writing techniques for 2025 with this guide covering formatting, achievement-focused content, ATS optimization, and digital presence. Also learn how Furman // Flatiron Tech Bootcamps provide additional support to help your resume stand out to employers.

Discover how Furman CIL // Flatiron Tech Programs offer an affordable path to tech careers through flexible payment options, competitive pricing, and strong career outcomes. This guide outlines payment solutions, budgeting strategies, and how these accelerated programs deliver a compelling return on investment compared to traditional degrees.

Explore the exciting career paths in data science and learn how Furman's comprehensive program can help you launch your future in this high-demand field.