Qwasar uses a program called Guardians of the Galaxy to help facilitate peer to peer learning and peer mentoring - more advanced students helping new students.

Being a Guardian is a great opportunity to develop your leadership skills, give back to the community, widen your network, and learn from managers.

Guardians are senior students at Qwasar who have shown determination and drive to help others. They are chosen to lead and guide students on their coding journey. These students act as the mentors for newer students in the Qwasar community who are just beginning their journey into programming. When starting something new or switching careers, it can be overwhelming, so we give students the opportunity to engage and connect with one another for help on their assignments.

Let’s dive into what it means to be a Guardian and why the program exists.

Undoubtedly, 2023 was the year of AI - AI went mainstream, the number of AI companies exploded, as did funding for and investments in AI companies.

It was also the year that the number of machine learning engineer jobs went through the roof compared to previous years.

It’s not just interest in ML jobs that has grown, but the actual number itself has exploded.

LinkedIn listed AI Engineer as one of the Top 10 Fastest Growing Roles for 2024 in a recent article this month.

Georgetown's Center for Security and Emerging Technology just released a data analysis that AI developer/engineer jobs increased by 25.8% from 2018 to 2022, surpassing 5 million jobs.

The growth of the number of jobs has made it very difficult to hire - and it’s not just that technologies such as OpenAI, Mistral AI, Bard and other models with APIs are so new.

Companies want Senior Machine Learning engineers, not mid-level, junior, or entry-level.

So why is it so hard to hire a Senior Machine Learning Engineer?

Let’s take a quick look to find out.

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.