In recent years, the business landscape has witnessed a revolution powered by artificial intelligence (AI). This cutting-edge technology has transcended its status as a buzzword to become an indispensable asset in the corporate world. It's not just about automation; it's about augmenting human capabilities, enhancing productivity, and unleashing creativity. At Qwasar, we've embraced this revolution and integrated AI into various facets of our operations, creating a blueprint for what's possible when humans and machines work in harmony.

AI is not just about efficiency; it's about unlocking the hidden potential within our teams. It empowers our employees to do more, do it better, and do it with creativity. The promise of AI lies in its ability to redefine how we work and think. We'll unveil how AI has elevated productivity, fostered innovation, and reshaped our perspectives on work-life balance.

In today's competitive job market, the value of hands-on experience cannot be overstated. It's the bridge that connects theoretical knowledge to practical skills, and it often makes all the difference when it comes to employability and career success. This is especially true in the ever-evolving technology sector, where employers seek candidates who not only possess academic qualifications but also have the ability to apply their knowledge in real-world situations. “Entry-level jobs” in tech are renowned for demanding 3 years of experience - a chicken and egg problem at the core, but one that illustrates the value companies place on practice experience.

In today's ever-competitive job market, employers are continually seeking new and innovative ways to invest in the growth and development of their workforce. 

One approach that has gained significant attention is Qwasar’s groundbreaking initiative, the Dual Apprenticeship - Master’s of Computer Science Program, a two-year journey that not only transitions an apprentice into a full-time employee but also equips them with a master's degree. Combining an apprenticeship with a Master of Science in Computer Science (MSCS) degree is a unique opportunity to gain both the theoretical and practical knowledge needed for a successful career in the tech industry.

Qwasar's Master's Program is offering an innovative and intensive learning experience that bridges the gap between education and the real-world job environment.

Areas of apprenticeship specialization that can be integrated with a Master of Science in Computer Science (MSCS) include:

• Backend Software Engineering
• Embedded Engineering
• AI/Machine Learning Engineering
• Full Stack Development

In today's tech-driven world, the demand for skilled embedded engineers is skyrocketing as industries ranging from automotive to consumer electronics rely on embedded systems to power their innovations. However, the availability of qualified embedded engineers doesn't meet the growing demand, creating a significant talent pipeline problem. 

This use case explores the challenges of this shortage, the role of programming languages, and how advanced engineering apprenticeships can expand the talent pool, using Qwasar's Embedded Engineering Program as a prime example.

Hispanic Heritage Month is a time to celebrate and honor the achievements, contributions, and rich cultural heritage of Hispanic and Latinx individuals worldwide. In this blog post, we pay tribute to one of the most influential figures in the world of technology and open-source software, Miguel de Icaza.

Here at Qwasar, we just launched a Master’s of Science in Computer Science program in partnership with Woolf. Our programs have always trained top-level, quality talent, as evidenced by our consistently better outcomes compared to other non-degree programs, so in many ways this was a natural progression for us.

We see our certificate programs, Master’s program, and apprenticeship programs as keys to unlocking new opportunities for learners and significant opportunities for companies to recruit quality talent trained for the modern software industry.

Technical interviews are specialized forms of interviews that focus on assessing a candidate’s skills and knowledge in a specific technical field, such as software development, engineering, or data science. These interviews often include solving problems, answering technical questions, and demonstrating practical skills pertinent to the job role.

Technical interviews have long been an industry norm for software engineering or similar technical positions, and they aim to help in identifying candidates who not only have the required theoretical knowledge but are also capable of applying technical knowledge to solve real-world problems and build software or technical solutions.

By delving into the world of technical interviews and comprehensively exploring various preparation methods, this article aims to analyze how effective preparation can impact hiring rates. Whether you’re an aspiring software engineer, a human resources professional, or an intrigued reader, this article offers insights into the role that technical interview preparation plays in shaping careers and the technology sector at large.

In a digital era, software development stands as a key profession in shaping our interconnected world. This field, rooted in creativity and innovation, is the driving force behind applications, platforms, and technologies we use daily. The soaring demand for skilled software developers across various industries attests to the profession's rapid growth. This blog post will explore the evolution, current state, prospects, perks, and challenges of software development, providing a comprehensive guide to one of today's fastest-growing professions.

In the ever-evolving field of software engineering, embracing a growth mindset is essential for success. While titles and technical expertise are important, true achievements stem from failures, setbacks, and learning experiences. A growth mindset encourages resilience, creativity, and continuous development of skills, empowering engineers to view setbacks as stepping stones to progress and to contribute meaningfully to the ever-changing technological landscape. Understanding the value of failure and competency becomes crucial within the context of software engineering.

Rust is a programming language that first appeared in 2010, and in the years since, it has carved out a unique space in the programming world. Rust was designed to be a systems programming language that combines the performance of C and C++ with memory safety and ease of use.

Particularly noteworthy is how quickly Rust has gained popularity among developers. Since 2016, it has consistently ranked as the "most loved" programming language in the Stack Overflow Developer Survey. But Rust’s popularity isn’t just a fleeting trend - it’s based on some rock-solid attributes such as performance, safety features, and a lively and devoted community. Its modern syntax and focus on developer productivity have appealed to those working in systems-level development.

In this article, we will dive into the reasons behind the meteoric rise of Rust and why it’s garnering so much attention from companies big and small. We will explore the features that set Rust apart and examine the various applications it's ideally suited for. We will see how and why different companies have turned to Rust for their critical systems through real-world examples and case studies. In addition to all of its strengths, we’ll also look at the challenges faced by Rust and ponder what the future might hold for this remarkable language.