Cloud computing has quickly become one of the fastest-growing industries. The U.S. Bureau of Labor Statistics estimates that the demand for roles in the industry will grow much faster than the average for all occupations. This means that students today will likely be able to find a career in cloud computing much faster than usual. To further illustrate the point, Indeed currently lists more than 8,000 job openings for cloud computing roles.

Despite that, many companies are seeking only top talent, which quickly reduces the available options and drives up demands (as well as salaries). If you want to get a lucrative job in the industry, you must have the appropriate skillset to match.

However, a general background in IT may no longer be enough. A dedicated cloud computing bachelor degree will provide you with the exact abilities you need to excel in these roles and will allow you to upskill to senior positions quickly.

Why Choose a Bachelor in Cloud Computing?

One of the most common misconceptions about programming jobs—and, by extension, cloud computing—is that you don’t need a degree to land a job.

While you can technically get a job in IT without a degree and go from there, the path to success through independent learning is often rocky. You may need to spend multiple years honing your skills through non-accredited courses and self-learning videos. Even if you do manage to get a role close to cloud computing, you may have a more difficult time acclimating to specific job requirements, and your progression may be limited without a degree.

On the other hand, a bachelor’s degree in IT or computer science provides an excellent foundational background. While you might not use all the theoretical knowledge you learn, finishing a bachelor’s degree gives you a broad range of expertise you can leverage to zero in on a desired career path. Specifically, for a bachelor in cloud computing, the focus is on learning different programming languages and coding practices to allow you to adapt to any platform you may need to use during your future job.

Furthermore, completing a bachelor’s shows that you have persistence and can apply theory to practice in exams and project work as part of your degree.

Additionally, many institutions that offer a bachelor’s degree in cloud computing also have close connections with nearby companies that require these positions to grow. They can provide internships to promising students even before they finish their studies and keep them on as permanent team members afterward.

Understanding the Curriculum of a Cloud Computing Bachelor Degree

Cloud computing is an extensive term that encompasses pretty much every application that accesses remote servers over the internet. As a result, there have been many implementations of the concept, and several programming languages were developed to leverage it.

A Bachelor of Science cloud computing degree (or computer science in general) will often have multiple courses dedicated to learning programming languages at the start. Later, the curriculum moves to dedicated courses that translate those basics into tangible skills and projects.

In general, here’s what you will need to learn:

  • Algebra and advanced mathematics
  • Technical English
  • Computer architecture (hardware)
  • Programming principles
  • Programming languages (C, C++, C#, Java, Node.js and Javascript, Python, Ruby, Golang, etc.)
  • Algorithms and data management
  • Database concepts and management
  • Networking concepts
  • Application development
  • Web development

Additionally, you will likely have courses on machine learning and AI, given how the industry has bloomed around them in the past few years.

Generally, the curriculum for any given bachelor in cloud computing will include theoretical classes first. Later sections or courses will focus more on implementing these concepts in practice.

Alternatively, you can also have courses that more heavily focus on application, such as a bachelor’s degree from OPIT. It covers the theoretical parts as necessary to apply them while students follow practice work and develop projects.

The Best Offline and Online Bachelors in Cloud Computing

Here are some of the best courses and universities you can attend to get a cloud computing bachelor degree.

1. OPIT – Bachelor’s Degree (BSc) in Modern Computer Science

OPIT is one of the leading European higher education institutions that solely focuses on online learning. Due to a more modern design compared to a traditional university, OPIT fully utilizes the benefits of online learning to support students through an array of both theoretical and practical courses.

The bachelor’s degree lasts for six terms and teaches all aspects of computer science, but students can pick elective courses that zero in on cloud computing in later terms. These include cloud architecture, data stacks, cybersecurity in the cloud, and digitalization protocols for converting traditional applications to the cloud. The bachelor’s courses also include an introduction to business management, allowing students to delve into entrepreneurship and become future leaders.

2. Purdue University Global – Bachelor of Science in Cloud Computing and Solutions

Purdue is a U.S.-based university that provides an online four-year bachelor’s degree course. As a degree fully focused on cloud computing, it foregoes most of the basics of computer science. Students learn by following online lessons and applying the theory to practical projects and lab work. Additionally, the program includes project management practices that help students migrate into senior roles.

3. WGU – Cloud Computing Bachelor’s Program

WGU makes its offer extremely lucrative by focusing on some of the most popular cloud computing platforms: Amazon, Azure, and AWS. The program is designed to be completed within three years, with online learning allowing students to accelerate their progress as much as they want. Furthermore, the degree contains over 16 different certificates as part of its curriculum, allowing students to fill in their resumes even before they finish the degree.

4. University of Liverpool – Computer Science With Software Development With a Year in Industry – Offline Degree

The University of Liverpool is one of the top British universities, ranked around 150th in the world. Its computer science degree focuses on teaching theoretical knowledge in the first year, applying that to lab work in the second, and developing projects in the fourth. The third year is dedicated to working in a software development company that works closely with the university. This presents a unique opportunity for students to apply what they learn and develop their skills in real-life scenarios.

5. Morgan State University – Bachelor of Science in Cloud Computing

MSU is a U.S.-based university in Maryland, but it offers a bachelor’s degree in cloud computing as a fully online course. The program is designed for people who are already in the workforce and need a degree to upskill and progress through their careers. It focuses on modern aspects of cloud-based engineering and architecture. The degree lasts three years but contains slightly more general-purpose classes than dedicated courses.

The Online Advantage: Earning Your Bachelor Degree in Cloud Computing Remotely

The advent of online learning has broken traditional barriers to achieving higher education. Since you no longer have to relocate, the price of studying for a bachelor’s goes down dramatically. Furthermore, online classes typically have portions of the coursework as pre-recorded asynchronous lessons. This can be a great option for people with full-time jobs who can’t attend live lessons frequently.

OPIT provides a thorough support system for online students, with regular assessment sessions and thorough career and study advisory.

Career Outcomes With a Bachelor of Science in Cloud Computing

Cloud computing is one of the fastest-growing industries in the world. Most experts in cloud computing have developer or management positions that design and implement applications. Some of the most common positions in the industry include:

  • Cloud architect
  • Cloud network engineer
  • DevOps engineer
  • Cloud database administrator

Regardless of the role, cloud computing is a lucrative career and attracts a high salary.

Industry Certifications and Your Bachelor in Cloud Computing

Certifications are perhaps even more important than just having a bachelor’s degree. They are structured tests that showcase that you have the knowledge and practical aptitude for a platform or programming language. Many bachelor’s degrees in cloud computing, including OPIT, will directly provide students with the knowledge necessary to obtain these certifications, and some have the certifications built into the program.

Financial Investment and ROI of a Bachelor Degree in Cloud Computing

Apart from being an exciting career opportunity in terms of growth, the salaries of cloud engineers are also lucrative. A cloud engineer in Germany typically earns around €65k per year. However, salaries in the U.S. can frequently reach six figures.

So, don’t be put off by the high admission fees for cloud computing bachelor’s degrees. Consider it an investment into a comfortable future. OPIT’s bachelor’s degrees ensure access to higher education by keeping admissions low and providing scholarships.

Start Your Career in Cloud Computing With a Bachelor’s From OPIT

By getting a modern degree in cloud computing, you can get skills that will be relevant in the coming decades as the world increasingly turns to web-based applications. OPIT’s bachelor’s degree in modern computer science will provide you with the breadth of knowledge necessary to progress to leadership positions and ensure an excellent career. Go to OPIT’s course page to find out more and enroll today.

Related posts

CCN: Australia Tightens Crypto Oversight as Exchanges Expand, Testing Industry’s Appetite for Regulation
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 3 min read

Source:

  • CCN, published on March 29th, 2025

By Kurt Robson

Over the past few months, Australia’s crypto industry has undergone a rapid transformation following the government’s proposal to establish a stricter set of digital asset regulations.

A series of recent enforcement measures and exchange launches highlight the growing maturation of Australia’s crypto landscape.

Experts remain divided on how the new rules will impact the country’s burgeoning digital asset industry.

New Crypto Regulation

On March 21, the Treasury Department said that crypto exchanges and custody services will now be classified under similar rules as other financial services in the country.

“Our legislative reforms will extend existing financial services laws to key digital asset platforms, but not to all of the digital asset ecosystem,” the Treasury said in a statement.

The rules impose similar regulations as other financial services in the country, such as obtaining a financial license, meeting minimum capital requirements, and safeguarding customer assets.

The proposal comes as Australian Prime Minister Anthony Albanese’s center-left Labor government prepares for a federal election on May 17.

Australia’s opposition party, led by Peter Dutton, has also vowed to make crypto regulation a top priority of the government’s agenda if it wins.

Australia’s Crypto Growth

Triple-A data shows that 9.6% of Australians already own digital assets, with some experts believing new rules will push further adoption.

Europe’s largest crypto exchange, WhiteBIT, announced it was entering the Australian market on Wednesday, March 26.

The company said that Australia was “an attractive landscape for crypto businesses” despite its complexity.

In March, Australia’s Swyftx announced it was acquiring New Zealand’s largest cryptocurrency exchange for an undisclosed sum.

According to the parties, the merger will create the second-largest platform in Australia by trading volume.

“Australia’s new regulatory framework is akin to rolling out the welcome mat for cryptocurrency exchanges,” Alexander Jader, professor of Digital Business at the Open Institute of Technology, told CCN.

“The clarity provided by these regulations is set to attract a wave of new entrants,” he added.

Jader said regulatory clarity was “the lifeblood of innovation.” He added that the new laws can expect an uptick “in both local and international exchanges looking to establish a foothold in the market.”

However, Zoe Wyatt, partner and head of Web3 and Disruptive Technology at Andersen LLP, believes that while the new rules will benefit more extensive exchanges looking for more precise guidelines, they will not “suddenly turn Australia into a global crypto hub.”

“The Web3 community is still largely looking to the U.S. in anticipation of a more crypto-friendly stance from the Trump administration,” Wyatt added.

Read the full article below:

Read the article
Agenda Digitale: Generative AI in the Enterprise – A Guide to Conscious and Strategic Use
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 6 min read

Source:


By Zorina Alliata, Professor of Responsible Artificial Intelligence e Digital Business & Innovation at OPIT – Open Institute of Technology

Integrating generative AI into your business means innovating, but also managing risks. Here’s how to choose the right approach to get value

The adoption of generative AI in the enterprise is growing rapidly, bringing innovation to decision-making, creativity and operations. However, to fully exploit its potential, it is essential to define clear objectives and adopt strategies that balance benefits and risks.

Over the course of my career, I have been fortunate to experience firsthand some major technological revolutions – from the internet boom to the “renaissance” of artificial intelligence a decade ago with machine learning.

However, I have never seen such a rapid rate of adoption as the one we are experiencing now, thanks to generative AI. Although this type of AI is not yet perfect and presents significant risks – such as so-called “hallucinations” or the possibility of generating toxic content – ​​it fills a real need, both for people and for companies, generating a concrete impact on communication, creativity and decision-making processes.

Defining the Goals of Generative AI in the Enterprise

When we talk about AI, we must first ask ourselves what problems we really want to solve. As a teacher and consultant, I have always supported the importance of starting from the specific context of a company and its concrete objectives, without inventing solutions that are as “smart” as they are useless.

AI is a formidable tool to support different processes: from decision-making to optimizing operations or developing more accurate predictive analyses. But to have a significant impact on the business, you need to choose carefully which task to entrust it with, making sure that the solution also respects the security and privacy needs of your customers .

Understanding Generative AI to Adopt It Effectively

A widespread risk, in fact, is that of being guided by enthusiasm and deploying sophisticated technology where it is not really needed. For example, designing a system of reviews and recommendations for films requires a certain level of attention and consumer protection, but it is very different from an X-ray reading service to diagnose the presence of a tumor. In the second case, there is a huge ethical and medical risk at stake: it is necessary to adapt the design, control measures and governance of the AI ​​to the sensitivity of the context in which it will be used.

The fact that generative AI is spreading so rapidly is a sign of its potential and, at the same time, a call for caution. This technology manages to amaze anyone who tries it: it drafts documents in a few seconds, summarizes or explains complex concepts, manages the processing of extremely complex data. It turns into a trusted assistant that, on the one hand, saves hours of work and, on the other, fosters creativity with unexpected suggestions or solutions.

Yet, it should not be forgotten that these systems can generate “hallucinated” content (i.e., completely incorrect), or show bias or linguistic toxicity where the starting data is not sufficient or adequately “clean”. Furthermore, working with AI models at scale is not at all trivial: many start-ups and entrepreneurs initially try a successful idea, but struggle to implement it on an infrastructure capable of supporting real workloads, with adequate governance measures and risk management strategies. It is crucial to adopt consolidated best practices, structure competent teams, define a solid operating model and a continuous maintenance plan for the system.

The Role of Generative AI in Supporting Business Decisions

One aspect that I find particularly interesting is the support that AI offers to business decisions. Algorithms can analyze a huge amount of data, simulating multiple scenarios and identifying patterns that are elusive to the human eye. This allows to mitigate biases and distortions – typical of exclusively human decision-making processes – and to predict risks and opportunities with greater objectivity.

At the same time, I believe that human intuition must remain key: data and numerical projections offer a starting point, but context, ethics and sensitivity towards collaborators and society remain elements of human relevance. The right balance between algorithmic analysis and strategic vision is the cornerstone of a responsible adoption of AI.

Industries Where Generative AI Is Transforming Business

As a professor of Responsible Artificial Intelligence and Digital Business & Innovation, I often see how some sectors are adopting AI extremely quickly. Many industries are already transforming rapidly. The financial sector, for example, has always been a pioneer in adopting new technologies: risk analysis, fraud prevention, algorithmic trading, and complex document management are areas where generative AI is proving to be very effective.

Healthcare and life sciences are taking advantage of AI advances in drug discovery, advanced diagnostics, and the analysis of large amounts of clinical data. Sectors such as retail, logistics, and education are also adopting AI to improve their processes and offer more personalized experiences. In light of this, I would say that no industry will be completely excluded from the changes: even “humanistic” professions, such as those related to medical care or psychological counseling, will be able to benefit from it as support, without AI completely replacing the relational and care component.

Integrating Generative AI into the Enterprise: Best Practices and Risk Management

A growing trend is the creation of specialized AI services AI-as-a-Service. These are based on large language models but are tailored to specific functionalities (writing, code checking, multimedia content production, research support, etc.). I personally use various AI-as-a-Service tools every day, deriving benefits from them for both teaching and research. I find this model particularly advantageous for small and medium-sized businesses, which can thus adopt AI solutions without having to invest heavily in infrastructure and specialized talent that are difficult to find.

Of course, adopting AI technologies requires companies to adopt a well-structured risk management strategy, covering key areas such as data protection, fairness and lack of bias in algorithms, transparency towards customers, protection of workers, definition of clear responsibilities regarding automated decisions and, last but not least, attention to environmental impact. Each AI model, especially if trained on huge amounts of data, can require significant energy consumption.

Furthermore, when we talk about generative AI and conversational models , we add concerns about possible inappropriate or harmful responses (so-called “hallucinations”), which must be managed by implementing filters, quality control and continuous monitoring processes. In other words, although AI can have disruptive and positive effects, the ultimate responsibility remains with humans and the companies that use it.

Read the full article below (in Italian):

Read the article