It’s clear that there’s a growing demand for qualified computer scientists – as well as professionals in related fields – throughout the world. In the U.S. alone, the field is expected to grow by 15% between 2021 and 2031, with approximately 377,500 job openings per year. Europe is no different. For instance, the European artificial intelligence (AI) industry is projected to achieve an average annual growth of 15.87% between 2024 and 2030, creating a multi-billion dollar industry in the process.

With such explosive growth, one would assume that getting a job in the tech field should be straightforward as long as a student has the appropriate skills.

That’s often not the case.

Though companies have a large appetite for talented and tech-literate students, they typically want to see industry certifications to bolster their formal education qualifications. Here, you’ll discover the impact these certifications can have on your career. Plus, you’ll learn which certifications are the most desirable and how OPIT’s degree programs align with those certifications.

How do Industry Certifications Help?

We start with the big question – are computing industry certifications even relevant?

After all, as a student, you’re already working towards a degree that provides proof that you’re capable in various technical fields. But even with that degree, you may find that employers favor those with specific certifications.

Why?

Here are some of the most important reasons.

Showcasing a Willingness to Learn

Obtaining specific certifications outside of your degree shows that you’re willing to continue your education beyond your formal studies. That’s vital. The computer science fields evolve so rapidly that what you learn as part of a degree may be obsolete – or, at best, outdated – within a few years. If you’re not doing everything you can to adapt to these changes, you get left behind. When an employer compares two candidates with the same degree against one another, they’ll invariably go for the one who shows more commitment to keeping their skills sharp.

That’s not all.

Industry certifications also show employers that you can take the theoretical knowledge you develop during a degree into real-life practice. Hence the “industry” part of the phrase. That also leads to the second reason why certifications are so crucial.

Certifications Prepare You for the World of Work

Though a degree program may attempt to emulate real-world environments, it may not fully set you up for the demands industry places on you. You’re working for yourself, rather than a company. Plus, the odds are that your degree may not cover specific applications of your knowledge that would be useful in a real-world setting.

When studying for industry certifications, you engage with courses developed by people who have worked for companies that are like – or adjacent to – the types of companies for which you intend to work. That’s crucial. A certification can prepare you for specific duties or roles you’d be expected to take during your career. The result is that the working world is less of a shock to the system for the student who achieves a certification than it would be for somebody who transitions directly from a degree into industry.

Validation of What You’ve Learned

Validation through industry certifications works on two levels.

For the student, completion of certification serves as proof to themselves that they can put what they’ve learned during their degree course into action. Should you take a certification, you’ll be confronted with real-world scenarios and, often, be tasked with coming up with solutions to problems that real companies faced in the past. When you pass, you’ll know that you have verified proof of your competency within the context of working for a company.

That’s where the second level comes in – validation to a potential employer.

A degree is far from worthless to a potential employer. Most require them for any technical role, meaning you must complete your formal education. However, employers are also aware that many degree programs don’t prepare students for the realities of industry. So, a student who only has a degree on their resume may fall by the wayside compared to one who has an industry certification.

Those who do have certifications, however, have proof of their competency that validates them in the eyes of employers.

The Most Valuable Industry Certifications for Computer Science Students

With the value of industry certifications to supplement your degree established, the next question is obvious:

Which certifications are the most valuable?

You may have dozens to choose from, with the obvious answer being that the certification that’s best for you is the one that most closely aligns with the field you intend to enter. Still, the following are some of the most popular among computing students and recent graduates.

Prince 2 Foundation

Where your degree equips you with computer science fundamentals, the PRINCE2 Foundation course focuses on project management. It can be taken as a three-day course – virtually or in a classroom – that teaches the titular method for overseeing complex projects. Beyond the three-day intensive versions of the course, you can also take an online self-guided version that grants you a 12-month license to the course’s materials.

CAPM (Certified Associate in Project Management)

Again focusing on project management, the CAPM can be an alternative or a complement to a PRINCE2 certification. The 150-question exam covers predictive planning methodologies, Agile frameworks, and business analysis. Plus, it’s available in several major European languages, as well as Japanese and Arabic.

CompTIA Network+

Network implementation, operations, and security are the focuses of this course, which equips you with networking skills that apply to almost any industry system. Consider this course if you wish to enter a career in network security, IT support, or if you have designs on becoming a data architect.

AWS Cloud Practitioner Essentials

Offered via several platforms, including Amazon Web Services and Coursera, the AWS Cloud Practitioner Essentials course does exactly what it says:

Teaches you the foundations of the AWS cloud.

You’re paired with an expert instructor, who teaches you about the AWS Well-Architected Framework and the models relevant to the AWS cloud. It’s a good choice not just for computer science students, but those who intend to enter the sales, marketing, or project management spheres.

AWS Certified Developer Associate

Where the above course teaches the fundamentals of the AWS cloud, this one hones in on developing platforms within the AWS framework. It’s recommended that you take the essentials course first, gaining experience with AWS tech in the process, and have knowledge of at least one programming language. The latter can come from your degree.

All of the course resources are free, though you do have to pay a fee of $150 to take the 65-question exam related to the certification.

CISSP (Certified Information Systems Security Professional)

Cybersecurity is the focus of the CISSP, with successful students developing proven skills in designing, implementing, and managing high-end cybersecurity programs. You also become an ISC2 member when you receive your CISSP, giving you access to further educational tools and an expansive network you can use to further your career.

CISM (Certified Information Security Manager)

Like the CISSP, the CISM is for any student who wants to enter the growing field of cybersecurity. It covers many of the same topics, with the program’s website claiming that 42% of its students received a pay increase upon successful completion of the course.

CRISC (Certified in Risk and Information Systems Control)

Though adjacent to the two cybersecurity programs above, the CRISC focuses more on risk management in the context of IT systems. You’ll learn how to enhance – and demonstrate said enhancement of – business resilience, as well as how to incorporate risk management into the Agile methodology.

CEH (Certified Ethical Hacker)

When companies implement cybersecurity programs, they need to test them against the hackers that they’re trying to keep away from their data. Enter ethical hackers – professionals who use the same tricks that malicious hackers use to identify issues in a network. With the CEH, you gain an industry qualification that showcases your hacking credentials as it delivers experience in over 500 unique attack types.

Agile and Scrum Certifications

Both Agile and Scrum are management frameworks that have become extremely popular in the computer science field, making certifications in either extremely valuable. The idea with these certifications is to build your technical expertise into an established methodology. For context to why that’s important, consider this – 71% of American companies now use the Agile methodology due to its high success rate.

Where Do OPIT’s Courses Fit In?

If you’re a current or prospective OPIT student, you need to know one thing:

An OPIT degree isn’t the same as one of these industry certifications.

However, all OPIT degree programs are designed to align with the teachings of these certifications. They’re created by professionals who have industry experience – and can build real-world projects into their courses – to ensure that you leave OPIT with more than theoretical knowledge.

Instead, you’ll have a foundation of practical skills to go along with your technical talents, preparing you to take any of these industry certifications later in your career. For instance, our MSc in Enterprise Cybersecurity degree aligns with the CISM and CISSP certifications, meaning you’ll be well-prepared for the concepts introduced in those courses.

An OPIT degree complements the certifications you may need later in your career. If you’re not already an OPIT student, check out our range of online courses – all of which are EU-accredited and career-aligned – to take your first step toward a career in computer science.

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Il Sole 24 Ore: Integrating Artificial Intelligence into the Enterprise – Challenges and Opportunities for CEOs and Management
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Expert Pierluigi Casale analyzes the adoption of AI by companies, the ethical and regulatory challenges and the differentiated approach between large companies and SMEs

By Gianni Rusconi

Easier said than done: to paraphrase the well-known proverb, and to place it in the increasingly large collection of critical issues and opportunities related to artificial intelligence, the task that CEOs and management have to adequately integrate this technology into the company is indeed difficult. Pierluigi Casale, professor at OPIT (Open Institute of Technology, an academic institution founded two years ago and specialized in the field of Computer Science) and technical consultant to the European Parliament for the implementation and regulation of AI, is among those who contributed to the definition of the AI ​​Act, providing advice on aspects of safety and civil liability. His task, in short, is to ensure that the adoption of artificial intelligence (primarily within the parliamentary committees operating in Brussels) is not only efficient, but also ethical and compliant with regulations. And, obviously, his is not an easy task.

The experience gained over the last 15 years in the field of machine learning and the role played in organizations such as Europol and in leading technology companies are the requirements that Casale brings to the table to balance the needs of EU bodies with the pressure exerted by American Big Tech and to preserve an independent approach to the regulation of artificial intelligence. A technology, it is worth remembering, that implies broad and diversified knowledge, ranging from the regulatory/application spectrum to geopolitical issues, from computational limitations (common to European companies and public institutions) to the challenges related to training large-format language models.

CEOs and AI

When we specifically asked how CEOs and C-suites are “digesting” AI in terms of ethics, safety and responsibility, Casale did not shy away, framing the topic based on his own professional career. “I have noticed two trends in particular: the first concerns companies that started using artificial intelligence before the AI ​​Act and that today have the need, as well as the obligation, to adapt to the new ethical framework to be compliant and avoid sanctions; the second concerns companies, like the Italian ones, that are only now approaching this topic, often in terms of experimental and incomplete projects (the expression used literally is “proof of concept”, ed.) and without these having produced value. In this case, the ethical and regulatory component is integrated into the adoption process.”

In general, according to Casale, there is still a lot to do even from a purely regulatory perspective, due to the fact that there is not a total coherence of vision among the different countries and there is not the same speed in implementing the indications. Spain, in this regard, is setting an example, having established (with a royal decree of 8 November 2023) a dedicated “sandbox”, i.e. a regulatory experimentation space for artificial intelligence through the creation of a controlled test environment in the development and pre-marketing phase of some artificial intelligence systems, in order to verify compliance with the requirements and obligations set out in the AI ​​Act and to guide companies towards a path of regulated adoption of the technology.

Read the full article below (in Italian):

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The Lucky Future: How AI Aims to Change Everything
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 10, 2025 7 min read

There is no question that the spread of artificial intelligence (AI) is having a profound impact on nearly every aspect of our lives.

But is an AI-powered future one to be feared, or does AI offer the promise of a “lucky future.”

That “lucky future” prediction comes from Zorina Alliata, principal AI Strategist at Amazon and AI faculty member at Georgetown University and the Open Institute of Technology (OPIT), in her recent webinar “The Lucky Future: How AI Aims to Change Everything” (February 18, 2025).

However, according to Alliata, such a future depends on how the technology develops and whether strategies can be implemented to mitigate the risks.

How AI Aims to Change Everything

For many people, AI is already changing the way they work. However, more broadly, AI has profoundly impacted how we consume information.

From the curation of a social media feed and the summary answer to a search query from Gemini at the top of your Google results page to the AI-powered chatbot that resolves your customer service issues, AI has quickly and quietly infiltrated nearly every aspect of our lives in the past few years.

While there have been significant concerns recently about the possibly negative impact of AI, Alliata’s “lucky future” prediction takes these fears into account. As she detailed in her webinar, a future with AI will have to take into consideration:

  • Where we are currently with AI and future trajectories
  • The impact AI is having on the job landscape
  • Sustainability concerns and ethical dilemmas
  • The fundamental risks associated with current AI technology

According to Alliata, by addressing these risks, we can craft a future in which AI helps individuals better align their needs with potential opportunities and limitations of the new technology.

Industry Applications of AI

While AI has been in development for decades, Alliata describes a period known as the “AI winter” during which educators like herself studied AI technology, but hadn’t arrived at a point of practical applications. Contributing to this period of uncertainty were concerns over how to make AI profitable as well.

That all changed about 10-15 years ago when machine learning (ML) improved significantly. This development led to a surge in the creation of business applications for AI. Beginning with automation and robotics for repetitive tasks, the technology progressed to data analysis – taking a deep dive into data and finding not only new information but new opportunities as well.

This further developed into generative AI capable of completing creative tasks. Generative AI now produces around one billion words per day, compared to the one trillion produced by humans.

We are now at the stage where AI can complete complex tasks involving multiple steps. In her webinar, Alliata gave the example of a team creating storyboards and user pathways for a new app they wanted to develop. Using photos and rough images, they were able to use AI to generate the code for the app, saving hundreds of hours of manpower.

The next step in AI evolution is Artificial General Intelligence (AGI), an extremely autonomous level of AI that can replicate or in some cases exceed human intelligence. While the benefits of such technology may readily be obvious to some, the industry itself is divided as to not only whether this form of AI is close at hand or simply unachievable with current tools and technology, but also whether it should be developed at all.

This unpredictability, according to Alliata, represents both the excitement and the concerns about AI.

The AI Revolution and the Job Market

According to Alliata, the job market is the next area where the AI revolution can profoundly impact our lives.

To date, the AI revolution has not resulted in widespread layoffs as initially feared. Instead of making employees redundant, many jobs have evolved to allow them to work alongside AI. In fact, AI has also created new jobs such as AI prompt writer.

However, the prediction is that as AI becomes more sophisticated, it will need less human support, resulting in a greater job churn. Alliata shared statistics from various studies predicting as many as 27% of all jobs being at high risk of becoming redundant from AI and 40% of working hours being impacted by language learning models (LLMs) like Chat GPT.

Furthermore, AI may impact some roles and industries more than others. For example, one study suggests that in high-income countries, 8.5% of jobs held by women were likely to be impacted by potential automation, compared to just 3.9% of jobs held by men.

Is AI Sustainable?

While Alliata shared the many ways in which AI can potentially save businesses time and money, she also highlighted that it is an expensive technology in terms of sustainability.

Conducting AI training and processing puts a heavy strain on central processing units (CPUs), requiring a great deal of energy. According to estimates, Chat GPT 3 alone uses as much electricity per day as 121 U.S. households in an entire year. Gartner predicts that by 2030, AI could consume 3.5% of the world’s electricity.

To reduce the energy requirements, Alliata highlighted potential paths forward in terms of hardware optimization, such as more energy-efficient chips, greater use of renewable energy sources, and algorithm optimization. For example, models that can be applied to a variety of uses based on prompt engineering and parameter-efficient tuning are more energy-efficient than training models from scratch.

Risks of Using Generative AI

While Alliata is clearly an advocate for the benefits of AI, she also highlighted the risks associated with using generative AI, particularly LLMs.

  • Uncertainty – While we rely on AI for answers, we aren’t always sure that the answers provided are accurate.
  • Hallucinations – Technology designed to answer questions can make up facts when it does not know the answer.
  • Copyright – The training of LLMs often uses copyrighted data for training without permission from the creator.
  • Bias – Biased data often trains LLMs, and that bias becomes part of the LLM’s programming and production.
  • Vulnerability – Users can bypass the original functionality of an LLM and use it for a different purpose.
  • Ethical Risks – AI applications pose significant ethical risks, including the creation of deepfakes, the erosion of human creativity, and the aforementioned risks of unemployment.

Mitigating these risks relies on pillars of responsibility for using AI, including value alignment of the application, accountability, transparency, and explainability.

The last one, according to Alliata, is vital on a human level. Imagine you work for a bank using AI to assess loan applications. If a loan is denied, the explanation you give to the customer can’t simply be “Because the AI said so.” There needs to be firm and explainable data behind the reasoning.

OPIT’s Masters in Responsible Artificial Intelligence explores the risks and responsibilities inherent in AI, as well as others.

A Lucky Future

Despite the potential risks, Alliata concludes that AI presents even more opportunities and solutions in the future.

Information overload and decision fatigue are major challenges today. Imagine you want to buy a new car. You have a dozen features you desire, alongside hundreds of options, as well as thousands of websites containing the relevant information. AI can help you cut through the noise and narrow the information down to what you need based on your specific requirements.

Alliata also shared how AI is changing healthcare, allowing patients to understand their health data, make informed choices, and find healthcare professionals who meet their needs.

It is this functionality that can lead to the “lucky future.” Personalized guidance based on an analysis of vast amounts of data means that each person is more likely to make the right decision with the right information at the right time.

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