Artificial Intelligence (AI) and machine learning are two of the fastest-growing emerging technologies right now. In late 2022, generative AI burst onto the tech scene in the shape of ChatGPT and its antecedents. However, that’s not the first time AI has made a major impact. In fact, the first AI chatbot, Eliza, was around in the 1960s.

Both AI and machine learning do far more than chat and research. AI is embedded in analytics, predictive forecasting, and monitoring for multiple industries. As the use of AI and machine learning expands, the need for professionals with relevant skills is also growing exponentially.

OPIT (Open Institute of Technology) provides top-tier education in various tech fields, including highly respected machine learning and artificial intelligence courses. Let’s take a look at these fascinating technologies and how the right AI machine learning course can elevate your tech career.

Understanding AI and Machine Learning

When you’re searching for courses on artificial intelligence and machine learning, it helps to have a basic definition for both terms. If you already work in the tech industry, you likely work with one or both of these technologies every day. Yet they’re often so embedded within systems or apps that you might not even realize.

AI refers to the computer’s to exhibit behavior that replicates human thought patterns. However, the details of this definition are a little more complex than that. “Computers” can mean anything from a small subsystem to a supercomputer. It can also mean your smartphone or an app. And, by emulating human behavior, experts don’t necessarily mean AI does things exactly like us. Truly “thinking” AI with genuine cognitive abilities is a long way off.

What AI actually does is take things humans can already do – and do it faster and more often. Think about a software DevOps team requiring automated monitoring and testing of code prior to deployment. AI can do this while checking for vulnerabilities and producing relevant, actionable reports. In healthcare, AI uses pattern recognition to diagnose diseases quickly.

Machine learning is a subset of AI. It focuses on using algorithms to consistently and continuously improve pattern recognition for AI that appears to “learn.”

Courses in AI and machine learning are so popular because of the inherent usefulness of these technologies. Learning these skills now is a way to future-proof your tech career.

The Best AI and Machine Learning Courses

Numerous artificial intelligence and machine learning courses cover different topics and niches. You may choose to learn in a classroom setting or remotely. Some courses are short-term, generally covering foundational aspects of AI. Others carry on over several months for a deeper learning experience. Always consider how the course you invest in will impact your career advancement opportunities.

Absolute beginners may benefit from the Coursera IBM Applied Professional Certificate. This course runs entirely online over three months, presuming you can commit to 10 hours a week. Students learn the basics of AI, particularly how it powers IBM’s Watson AI services.

Oxford Online runs a 6-week online AI program course requiring 7-10 hours of commitment a week. This course looks at AI concepts and business cases for implementation and takes a glimpse at the future of AI.

For classroom-based courses on AI and machine learning, prospective students are best placed to contact local educational institutions. Offline courses vary in length, depth, and usefulness, so always check the syllabus and what certification you gain. It’s worth considering how far you’ll have to travel to gain a qualification.

One of the biggest challenges with AI is making it ethical. OPIT addresses that head-on with the MSc in Responsible AI. Learn advanced AI skills while keeping inclusivity and human interest at the heart of every aspect of the syllabus.

OPIT also offers other courses that consider the impact AI has on modern business practice. Undergraduates could consider the BSc in Digital Business, which includes a full Introduction to AI segment. There are also elective topics, including AI-Driven Software Development.

The Structure of AI and Machine Learning Courses

What should you expect from the best courses on AI and machine learning? Each course has a specific length, either in terms of study hours or a set deadline date. Most online courses have a specific intake date to make sure students get the right support at the right time.

Once you start your machine learning and AI course, you can expect a good balance between theory and practical application. For example, OPIT’s master’s degree course starts with foundational theory and critical thinking around ethics in AI. From here, students get to handle complex data sets. They program in Python and learn how to design effective AI-powered data pipelines.

The structure of your course will depend on the focus, but to give you the best foundation, courses may follow a similar pathway to this:

  • Basics of AI, including the differences between AI and machine learning
  • Discovering applications of AI — these may be general or industry-specific, depending on the nature of your course
  • Data collation, analysis, and visualization
  • Programming for AI
  • Natural language processing (NLP) and natural language generation (NLG)
  • Removing or preventing bias in AI training

Some courses will also offer advanced elective programs, such as understanding AI within the sphere of FinOps (financial operations) or business strategy. If you have a particular industry you’re hoping to excel in, look out for courses with topics that could help you further those ambitions.

Online AI and Machine Learning Courses: Flexibility and Accessibility

Choosing one of the best machine learning and AI courses to do online offers more benefits than new skills. Online learning allows you to study in your preferred environment and at your own pace. You just need to make sure you keep an eye on set deadlines.

You’re not distracted by a class full of people, but you still have access to tutors and support. Many open learning institutes have online communities of students. These are great for preventing isolation and gaining advice.

As a tech professional, the ability to set your own study schedule is essential. Online AI and machine learning courses provide flexibility, allowing you to learn as you work. With OPIT’s Master’s Degree in Responsible Artificial Intelligence, you could potentially have an MSc in 12-18 months without taking any time off work.

Key Skills Gained from AI and Machine Learning Courses

When choosing your online course on AI and machine learning, consider the skills you’ll learn. You should expect to cover:

  • Data preprocessing
  • Data cleansing
  • Data visualization and storytelling
  • Linear and nonlinear dimensionality reduction
  • Manifold learning
  • Human-centered AI design
  • Language-agnostic AI programming skills

An MSc in AI and machine learning provides specialized skills and knowledge that you can use to address complex AI challenges in just about any industry.

Choosing the Right AI and Machine Learning Course for You

Picking the right AI and machine learning course is simpler when you consider your goals. Do you want a quick upskill and insight into emerging technologies? Or do you want an immersive course that empowers you to take on new career challenges? Most AI and machine learning courses will provide guidance on the type of career students could hope to pursue after completion.

Always look at the syllabus of a course and see if it meets your personal goals. If you’re unsure about any aspects, contact the education provider for more information.

OPIT’S MSc in Responsible Artificial Intelligence: An Overview

If you’ve decided an online AI and machine learning course is for you, as a graduate, an MSc is the natural choice. The next intake for the OPIT MSc in Responsible AI is September 2024, and details on how to apply are online.

What are the benefits of taking this course?

  • A fast-track option to gain your master’s degree in just 12 months
  • Fully inclusive fees — no hidden charges
  • Various scholarship and funding options
  • Availability of early-bird discounts
  • Access to academic leaders from all over the world
  • Education with an EU-accredited institution

Your MSc course covers every aspect of AI you might require for a career in AI and machine learning. Topics start with AI and ethics and quickly move into human-centered design, computer vision, and how AI impacts IoT and automation.

As you move into your final term, you start your MSc thesis, which focuses on AI projects with industrial relevance. There’s also the opportunity to pursue an internship to complement your thesis and gain vital experience.

AI and Machine Learning Courses for a Future-Proof Career

AI is now part of most growing industries, from property and real estate to healthcare and social care. Tech professionals have the opportunity to upskill themselves and move into fields that they have a real passion for. Organizations are looking for and willing to pay high salaries for knowledgeable, qualified AI experts.

Taking the time now to embark on machine learning and AI courses could speed your journey along your chosen career trajectory.

Related posts

OPIT Supporting a New Generation of Cybersecurity Leaders
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Aug 28, 2025 5 min read

The Open Institute of Technology (OPIT) began enrolling students in 2023 to help bridge the skills gap between traditional university education and the requirements of the modern workplace. OPIT’s MSc courses aim to help professionals make a greater impact on their workplace through technology.

OPIT’s courses have become popular with business leaders hoping to develop a strong technical foundation to understand technologies, such as artificial intelligence (AI) and cybersecurity, that are shaping their industry. But OPIT is also attracting professionals with strong technical expertise looking to engage more deeply with the strategic side of digital innovation. This is the story of one such student, Obiora Awogu.

Meet Obiora

Obiora Awogu is a cybersecurity expert from Nigeria with a wealth of credentials and experience from working in the industry for a decade. Working in a lead data security role, he was considering “what’s next” for his career. He was contemplating earning an MSc to add to his list of qualifications he did not yet have, but which could open important doors. He discussed the idea with his mentor, who recommended OPIT, where he himself was already enrolled in an MSc program.

Obiora started looking at the program as a box-checking exercise, but quickly realized that it had so much more to offer. As well as being a fully EU-accredited course that could provide new opportunities with companies around the world, he recognized that the course was designed for people like him, who were ready to go from building to leading.

OPIT’s MSc in Cybersecurity

OPIT’s MSc in Cybersecurity launched in 2024 as a fully online and flexible program ideal for busy professionals like Obiora who want to study without taking a career break.

The course integrates technical and leadership expertise, equipping students to not only implement cybersecurity solutions but also lead cybersecurity initiatives. The curriculum combines technical training with real-world applications, emphasizing hands-on experience and soft skills development alongside hard technical know-how.

The course is led by Tom Vazdar, the Area Chair for Cybersecurity at OPIT, as well as the Chief Security Officer at Erste Bank Croatia and an Advisory Board Member for EC3 European Cybercrime Center. He is representative of the type of faculty OPIT recruits, who are both great teachers and active industry professionals dealing with current challenges daily.

Experts such as Matthew Jelavic, the CEO at CIM Chartered Manager Canada and President of Strategy One Consulting; Mahynour Ahmed, Senior Cloud Security Engineer at Grant Thornton LLP; and Sylvester Kaczmarek, former Chief Scientific Officer at We Space Technologies, join him.

Course content includes:

  • Cybersecurity fundamentals and governance
  • Network security and intrusion detection
  • Legal aspects and compliance
  • Cryptography and secure communications
  • Data analytics and risk management
  • Generative AI cybersecurity
  • Business resilience and response strategies
  • Behavioral cybersecurity
  • Cloud and IoT security
  • Secure software development
  • Critical thinking and problem-solving
  • Leadership and communication in cybersecurity
  • AI-driven forensic analysis in cybersecurity

As with all OPIT’s MSc courses, it wraps up with a capstone project and dissertation, which sees students apply their skills in the real world, either with their existing company or through apprenticeship programs. This not only gives students hands-on experience, but also helps them demonstrate their added value when seeking new opportunities.

Obiora’s Experience

Speaking of his experience with OPIT, Obiora said that it went above and beyond what he expected. He was not surprised by the technical content, in which he was already well-versed, but rather the change in perspective that the course gave him. It helped him move from seeing himself as someone who implements cybersecurity solutions to someone who could shape strategy at the highest levels of an organization.

OPIT’s MSc has given Obiora the skills to speak to boards, connect risk with business priorities, and build organizations that don’t just defend against cyber risks but adapt to a changing digital world. He commented that studying at OPIT did not give him answers; instead, it gave him better questions and the tools to lead. Of course, it also ticks the MSc box, and while that might not be the main reason for studying at OPIT, it is certainly a clear benefit.

Obiora has now moved into a leading Chief Information Security Officer Role at MoMo, Payment Service Bank for MTN. There, he is building cyber-resilient financial systems, contributing to public-private partnerships, and mentoring the next generation of cybersecurity experts.

Leading Cybersecurity in Africa

As well as having a significant impact within his own organization, studying at OPIT has helped Obiora develop the skills and confidence needed to become a leader in the cybersecurity industry across Africa.

In March 2025, Obiora was featured on the cover of CIO Africa Magazine and was then a panelist on the “Future of Cybersecurity Careers in the Age of Generative AI” for Comercio Ltd. The Lagos Chamber of Commerce and Industry also invited him to speak on Cybersecurity in Africa.

Obiora recently presented the keynote speech at the Hackers Secret Conference 2025 on “Code in the Shadows: Harnessing the Human-AI Partnership in Cybersecurity.” In the talk, he explored how AI is revolutionizing incident response, enhancing its speed, precision, and proactivity, and improving on human-AI collaboration.

An OPIT Success Story

Talking about Obiora’s success, the OPIT Area Chair for Cybersecurity said:

“Obiora is a perfect example of what this program was designed for – experienced professionals ready to scale their impact beyond operations. It’s been inspiring to watch him transform technical excellence into strategic leadership. Africa’s cybersecurity landscape is stronger with people like him at the helm. Bravo, Obiora!”

Learn more about OPIT’s MSc in Cybersecurity and how it can support the next steps of your career.

Read the article
How Regenerative Business Models Are Redefining Innovation and Sustainability
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Aug 18, 2025 6 min read

Open Institute of Technology (OPIT) masterclasses bring students face-to-face with real-world business challenges. In OPIT’s July masterclass, OPIT Professor Francesco Derchi and Ph.D. candidate Robert Mario de Stefano explained the principles of regenerative businesses and how regeneration goes hand in hand with growth.

Regenerative Business Models

Professor Derchi began by explaining what exactly is meant by regenerative business models, clearly differentiating them from sustainable or circular models.

Many companies pursue sustainable business models in which they offset their negative impact by investing elsewhere. For example, businesses that are big carbon consumers will support nature regeneration projects. Circular business models are similar but are more focused on their own product chain, aiming to minimize waste by keeping products in use as long as possible through recycling. Both models essentially aim to have a “net-zero” negative impact on the environment.

Regenerative models are different because they actively aim to have a “net-positive” impact on the environment, not just offsetting their own use but actively regenerating the planet.

Massive Transformative Purpose

While regenerative business models are often associated with philanthropic endeavors, Professor Derchi explained that they do not have to be, and that investment in regeneration can be a driver of growth.

He discussed the importance of corporate purpose in the modern business space. Having a strong and clearly stated corporate purpose is considered essential to drive business decision-making, encourage employee buy-in, and promote customer loyalty.

But today, simple corporate missions, such as “make good shoes,” don’t go far enough. People are looking for a Massive Transformational Purpose (MTP) that can take the business to the next level.

Take, for example, Ben & Jerry’s. The business’s initial corporate purpose may have been to make great ice cream and serve it up in a way that people will enjoy. But the business really began to grow when they embraced an MTP. As they announced in their mission statement, “We believe that ice cream can change the world.” Their business activities also have the aim of advancing human rights and dignity, supporting social and economic justice, and protecting and restoring the Earth’s natural systems. While these aims are philanthropic, they have also helped the business grow.

RePlanet

Professor Derchi next talked about RePlanet, a business he recently worked to develop their MTP. Founded in 2015, RePlanet designs and implements customized renewable energy solutions for businesses and projects. The company already operates in the renewable energy field and ranked as the 21st fastest-growing business in Italy in 2023. So while they were already enjoying great success, Derchi worked with them to see if actively embracing a regenerative business model could unlock additional growth.

Working together, RePlanet moved towards an MTP of building a greener future based on today’s choices, ensuring a cleaner world for generations. Meeting this goal started with the energy products that RePlanet sells, such as energy systems that recover heat from dairy farms. But as the business’s MTP, it goes beyond that. RePlanet doesn’t just engage suppliers; it chooses partners that share its specific values. It also influences the projects they choose to work on – they prioritize high-impact social projects, such as recently installing photovoltaic energy systems at a local hospital in Nigeria – and how RePlanet treats its talent, acknowledging that people are the true energy of the company.

Regenerative Business Strategies

Based on work with RePlanet and other businesses, Derchi has identified six archetypal regenerative business strategies for businesses that want to have both a regenerative impact and drive growth:

  • Regenerative Leadership – Laying the foundation for regeneration in a broader sense throughout the company
  • Nature Regeneration – Strategies to improve the health of the natural world
  • Social Regeneration – Regenerating human ecosystems through things such as fair-trade practices
  • Responsible Sourcing – Empowering and strengthening suppliers and their communities
  • Health & Well-being – Creating products and services that have a positive effect on customers
  • Employee Focus – Improve work conditions, lives, and well-being of employees.

Case Studies

Building on the concept of regenerative business models, Roberto Mario de Stefano shared other case studies of businesses that are having a positive impact and enjoying growth thanks to regenerative business models and strategies.

Biorfarm

Biorfarm is a digital platform that supports small-scale agriculture by creating a direct link between small farmers and consumers. Cutting out the middleman in modern supply chains means that farmers earn about 50% more for their produce. They set consumers up as “digital farmers” who actively support and learn about farming activities to promote more conscious food consumption.

Their vision is to create a food economy in which those who produce food and those who consume it are connected. This moves consumers from passive cash cows for large corporations that prioritize profits over the well-being of farmers to actively supporting natural production and a more sustainable system.

Rifo Lab

Rifo Lab is a circular clothing brand with the vision of addressing the problem of overproduction in the clothing industry. Established in Prato, Italy, a traditional textile-producing area, the company produces clothes made from textile waste and biodegradable materials. There are no physical stores, and all orders must be placed online; everything is made to order, reducing excess production.

With an eye on social regeneration, all production takes place within 30 kilometers of their offices, allowing the business to support ethical and local production. They also work with companies that actively integrate migrants into the local community, sharing their local artisan crafts with future generations.

Ogyre

Ogyre is a digital platform that allows you to pay fishermen to fish for waste. When fishermen are out conducting their livelihood, they also collect a significant amount of waste from the ocean, especially plastic waste. Ogyre arranges for fishermen to get paid for collecting that waste, which in turn supports the local fishing communities, and then transforms the waste collected into new sustainable products.

Moving Towards a Regenerative Future

The masterclass concluded with a Q&A session, where it explained that working in regenerative businesses requires the same skills as any other business. But it also requires you to embrace a mindset where value comes from giving and that growth is about working together for a better future, and not just competition.

Read the article