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    Elevating Your Tech Career With the Best Cloud Computing Courses

    OPIT - Open Institute of Technology
    OPIT - Open Institute of Technology
    Mar 18, 2024 • 7 min read
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    There was a time when cloud computing was nothing more than an interesting concept, but today the cloud computing industry is worth in the region of $371 billion. Businesses are leveraging the power and scalability of cloud computing due to its flexibility, enhanced security and cost savings realized through the reduction of expensive IT infrastructure maintenance.

    Those professionals who are intent on becoming leaders in the ever-evolving world of cloud computing need appropriate skills and a world-class qualification, and that means finding the best cloud computing courses.

    Understanding Cloud Computing and Its Courses

    Cloud computing focuses on the delivery of computing services over the internet. These services can include database management, server hosting, storage, networking, online software solutions, and analytics. A recognized qualification in cloud computing will incorporate course content covering these areas and is essential for cloud innovators and future leaders.

    Discovering the Best Cloud Computing Courses

    A career in cloud computing provides a wealth of choice. There are qualifications that will prepare the student for a career as a Cloud Architect, Cloud Engineer, developer, or consultant. There are also more specialized careers involving cloud security or operations management. The key to a successful career in any of these fields is selecting the best cloud computing courses and qualifications.

    Qualifications that will put the aspirant cloud expert on the fast track to success will be offered by recognized and certified educational institutions. Coursework should ideally cover both theoretical foundations and the practical application of skills.

    Some criteria to consider when choosing the best cloud computing courses:

    • Comprehensive Curriculum. Ensure that the coursework of their chosen qualification covers the skills required for career advancement. Ideally, it should include foundational cloud concepts, infrastructure management, security, practical implementation, and vendor-specific training, depending on the desired career path.
    • Appropriate Teaching Methodology. Identify education providers that offer platforms including a mix of learning formats. Prioritize coursework that includes virtual instructor-led lectures, hands-on experience, real-world projects, and cloud sandboxes to allow for knowledge and application testing.
    • Flexible Offerings. Many potential students will already have careers. Even those who do not hold full-time positions may be time-poor. The best cloud computing courses will make allowances for this by offering accessible and flexible options for study.
    • Reputation and Accreditation. Prioritize offerings from reputable educational institutions that are acknowledged by industry leaders. The providers should be accredited by recognized regulatory bodies, offering industry leaders and organizations peace of mind when evaluating a potential employee.

    Here are the top five cloud computing courses available on- and off-line to help get you started:

    1. OPIT BSc in Modern Computer Science

    The fully accredited OPIT BSc in Modern Computer Science provides students with the flexibility of online and fully remote coursework and study. The degree was developed to provide students with comprehensive foundation skills, both theoretical and practical. Courses include programming, software development, database management, cloud computing, cybersecurity, data science and artificial intelligence.

    2. Introduction to Amazon Web Services Cloud Computing

    Amazon Web Services (AWS) is the world’s leading cloud computing platform. This beginner-friendly “Introduction to Cloud Computing on AWS” qualification will provide hands-on, practical skills related to both fundamental cloud computing concepts and advanced AWS competencies.

    The coursework consists of seven hours of easily accessible video and two articles. Content can be accessed online, and the successful student will receive a certificate of completion. The skills obtained during the study are perfect for those who want to progress to either a qualification as an AWS Certified Cloud Practitioner or an AWS Certified Solutions Architect.

    3. Udemy – Getting Started With Cloud Computing – Level 1

    This Udemy program provides a grounding in some fundamental cloud computing concepts. It includes course content such as cloud fundamentals and the five basic concepts that underpin cloud computing. The coursework also covers an introduction to service models such as SaaS, PaaS, and IaaS, and deployment models (private, public, hybrid, and community).

    4. Coursera Cloud Computing Concepts (Part 1)

    This flexible 23-hour course will provide foundational skills in distributed algorithms, distributed and cloud computing, and C++. Students will have access to industry experts to get a practical understanding of cloud computing and related subjects. Coursework includes hands-on projects that are relevant to individual career paths. A shareable ‘career certificate’ ideal for LinkedIn use is available to those obtaining the qualification.

    5. Udemy Ultimate AWS Certified Solutions Architect Associate SAA-C03

    This course is among the best cloud computing courses available. It is ideal for aspirant professionals who want to take their AWS qualifications to the next level. The coursework is flexible and allows students access to 800+ explanatory slides and a practice exam (with answer explanations). Students will have the opportunity to learn solution architecture analysis and database management, AWS fundamentals, and the implementation of real-world architecture using AWS.

    The Skills You Gain From Top Cloud Computing Courses

    Qualifications offered by accredited education institutions will provide both foundational and advanced competencies in cloud-related subjects. Students will obtain theoretical and practical knowledge that will advance their careers in the ever-evolving world of cloud computing.

    A diverse skillset, including subjects such as database management, coding, and understanding the complexities of the various cloud solutions available is essential for those who are committed to a career in the cloud. However, these skills are not only applicable to the domain of cloud computing. Many are highly sought-after skills that are perfect for various IT and digital business roles, giving degree-holders options about their career trajectories.

    Choosing the Right Course for Your Career Goals

    The explosion of cloud applications and functionality provides enormous scope for a variety of career paths. These can include careers in cloud architecture, cloud application development, systems administration, front-end development, business consulting, cloud security, and data science, among many others.

    The key to a successful cloud-based career is to understand the various career paths available and to ensure that the chosen path helps meet career objectives. An essential part of this journey is focusing on the best cloud computing courses.

    How OPIT’s Cloud Computing Course in the BSc in Modern Computer Science Stands Out

    The OPIT BSc in Modern Computer Science has become the preferred choice of those who want to fast-track their career in cloud computing. The coursework for the program provides the student with foundational, advanced, and real-world skills and leverages state-of-the-art tools and input from industry leaders and academic experts to provide actionable learning.

    Flexibility and remote learning make this qualification the ideal choice for those who simply cannot commit to full-time study.

    OPIT (Open Institute of Technology) is a fully licensed and accredited online higher education, a factor that can influence hiring decisions. It is recognized by the MFHEA under the European Qualification Framework (EQF) and the Malta Qualification Framework (MQF).

     A Cloud Computing Qualification – Your Key to Success

    The cloud is today part and parcel of the modern business environment, and it continues to evolve. This continued evolution provides incredible opportunities for the business leaders of tomorrow.

    Carefully researching the best cloud computing courses is the key to success in the growing industry. However, the prospective student needs to take extra care when selecting their desired qualification and area of study. The coursework should complement the student’s chosen career path and offer the flexibility to study when and where they want.

    OPIT is recognized as a premium education provider. The recognition of OPIT accreditation from leading standards authorities lends further weight to any qualification received from this respected institution. A qualification from OPIT opens the door to a stimulating and rewarding career at the cutting edge of cloud development.

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    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:

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    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):

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