Qwasar uses a modern learning approach, meaning learning is focused on developing skills and competencies through applied, experiential learning. Most humans actually learn best in this manner, and it is a very different system than the traditional lecture-exam model.

Collaboration is one of those highly-sought after “soft skills” that employers want and that bosses want you to have. It is not something that is learned through lectures or videos - you have to actually do it and be placed in situations and scenarios to actually collaborate with others.

With that, every week at Qwasar, we run Coding Collaboration Sessions, which offer learners an opportunity to work on problems together and collaborate.

What a year 2023 was and what does 2024 hold?! 2023 was decisively the year that killed a LOT of bootcamps, apprenticeships, and competitors - but for Qwasar, we had a pretty great year. As we look at the next 12 months, we wanted to take a look back at 2023 and share some company progress.

You’ve made the decision to become an AI/ML engineer - now it’s time to put it into action. We’ve developed this 6-step guide to follow in order to approach the process of becoming a well-rounded engineer, ready to tackle an industry career.

In this post, we do a deep dive into how our Master’s degree works, the program format, student experience, and what to expect, as well as tuition and scholarships.

Our program works differently than other programs: most programs focus on lectures and exams. We focus on programming, building software, and developing on-the-job competencies.

Read on to discover how our program works.

The Artificial Intelligence and Machine Learning profession is expected to grow by “23% between 2022 and 2032, which is much higher than average” according to the U.S. Bureau of Labor Statistics, which in comparison, “The average growth rate for all occupations is 3 percent.” If a career in AI/ML interests you, now is the time to strengthen those technical skills, practice technical interviewing, and fine tune your technical portfolio. This can be done through certificate or degree programs. Take a look at our programs to see two different options available to become an AI/machine learning engineer. Each has different structures based on experience and lengths of time to consider before deciding what’s best for you. If you have questions about either program or want to discuss our programs, feel free to contact us!

As we wrap up the year, let’s embark on a journey through the highlights at Qwasar for 2023—a year marked by multiple launches and new partnerships. Here are 9 highlights and stories that we're celebrating:

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.