Machine learning (ML) is a branch of artificial intelligence (AI) that focuses on enabling computers to “think” for themselves. Of course, they owe this thinking to humans (data scientists and ML engineers) who continuously supervise ML algorithms and models.

So, there’s no AI takeover (for now at least), just incredible ways to propel several industries forward by automating repetitive tasks, extracting valuable insights from data, and improving decision-making processes.

But how do humans precisely communicate with computers in machine learning?

The answer is through programming languages.

One programming language stands out among the rest for its simplicity and versatility. By the title of this guide, you can already guess we’re talking about Python.

This beloved programming language is all over the machine learning field, so mastering it gives you a great head start in the industry.

With this in mind, let’s examine how you can learn Python for machine learning courses. If you already have some basic knowledge of this programming language, don’t worry. We’ll also mention a great machine learning Python course to take your knowledge to the next level.

Factors to Consider When Choosing a Python for ML Course

Do a Google search for “machine learning Python course,” and you’ll be met with dozens of web pages that promise a sound understanding of this programming language. However, you’ll find the best course for your needs if you can identify those needs first.

Course Content and Curriculum

Your chosen course’s curriculum is arguably the most important factor for selecting the perfect machine learning Python course. One look at the listed topics, and you’ll know whether the course is right for you.

Let’s take your previous experience with Python as an example. If you have none, a course that jumps straight into machine learning algorithms without covering the Python basics will obviously not work for you.

Instructor’s Expertise and Experience

What bridges the gap between struggling to comprehend a complex subject and feeling that nothing can stop you in your learning journey? The answer is simple – a good instructor.

Before committing to a course, check who teaches it. Find out the instructor’s background with Python and whether they have enough expertise to guide you through this programming language’s intricacies.

If their bio checks all the boxes, watch at least one of their lectures. It doesn’t hurt to check whether their teaching style and voice suit you, as these can also make or break your learning experience.

Course Duration and Flexibility

Most online courses are self-paced, allowing you to create your own schedule. Fixed-timing courses also have their benefits, though. They’re usually instructor-led, so you can use the opportunity to ask questions and receive clarification as you learn the material.

As for duration, the course’s description typically indicates how long the course lasts and the recommended pace. Before starting, make sure you can commit to the course from beginning to end. Otherwise, you’re just wasting time and gaining incomplete knowledge.

Hands-On Projects and Real-World Applications

Programming languages are inherently practical, so ensure that your chosen course features hands-on projects and practical examples. Sticking solely to theory will do little to prepare you for what’s waiting in the real world.

Course Reviews and Ratings

You probably check reviews before going to a new restaurant, renting an Airbnb, or purchasing clothes online. So why should shopping for online courses be any different? When a course piques your interest, check how other learners have rated it. But don’t stop at glancing at the average rating. Read through some reviews to ensure they aren’t fake and to get a better picture of the course’s quality.

Pricing and Value for Money

There are plenty of free machine learning resources online. But the more advanced courses and certificates usually come with a fee. And that’s perfectly understandable. What’s not understandable or acceptable are courses that charge ridiculously high fees yet offer little value. To avoid wasting money (and probably time), check whether the course’s price is justifiable by its duration, level, type, and provided support.

Top Python for ML Courses Reviewed

Here are our favorite Python courses primarily focused on machine learning. We’re positive you’ll find the perfect machine learning Python course, whether this is the first time you use this programming language or want to master this skill.

Python for Machine Learning

The Python for Machine Learning course on Great Learning is a great place to start your Python-learning journey. This course is beginner-friendly and relatively short, so you won’t get overwhelmed from the get-go.

This course focuses on three Python libraries: NumPy, Pandas, and Matplotlib. It guides you through the basic concepts (arrays, intersection, loading, etc.) and then moves on to more complex functions. At the end of the course, you take a quiz. Pass the quiz, and you’ll get a certificate of completion.

Applying for this course is free. Not only that, but you’ll also receive free lifetime access, so you can revisit the course whenever you’d like. Although, some learners believe that there’s little to revisit. In total, this course lasts for 90 minutes. Those who are serious about Python learning will probably need more than this.

Still, you can view this course as a beginner’s guide and move to more advanced lessons afterward. To apply, you only need to create an account on the platform and send an enrollment request.

Machine Learning A-Z: AI, Python & R

If you want to start with the basics but cover the more advanced stuff within the same course, this Udemy’s gem is for you. It covers another programming language besides Python, R. However, this won’t be an issue, as you can focus solely on Python.

The course is broken into 10 parts, with over 40 hours of on-demand videos. Each section (and even the lessons within them) is separate, so you can choose to complete the ones that will benefit you now. Start with data preprocessing, and work toward machine learning model selection.

Those seeking practical exercises in Python will love this course. However, you might need to research some notions independently, as not all lecture sections are explained in great detail.

You can purchase lifetime access to this course for $89.99 (a little over €83). The price includes a certificate of completion and several additional learning materials (articles and downloadable resources). Complete the purchase to apply for this course.

Machine Learning With Python by IBM

IBM is one of the leading companies in the machine learning field, so you should take advantage of every chance to learn from its experts. If you’re just gaining your footing in machine learning, you’ll cover all your bases with this offering.

It will take approximately 12 hours over four weeks to complete the coursework. After each lesson, you’ll get a chance to put your newly-learned knowledge to the test.

One thing to keep in mind is that this course focuses more on machine learning using Python than the programming language itself. So, if you’ve never worked with Python, an additional resource or two might come in handy.

You can use Coursera’s 7-day trial to enroll in this course. Afterward, you’ll be charged $39 (approximately €36) a month. The same fee is a must if you want to receive a certificate.

The Complete Machine Learning Course With Python

Are you a data scientist in the making looking to build a solid portfolio with Python? If yes, you’ll love this course. You can find it on Udemy, just like millions of learners before you. This number might surprise you at first. But once you see that one of the founders of this course is Andrew Ng, a thought leader in machine learning, it will make much more sense.

In 18 hours, this course covers all the basics of machine learning with Python. But there’s a catch. You’ll need at least basic Python programming knowledge to keep up.

If this isn’t an issue, create an Udemy account and pay the $59.99 (around €55.50) fee to apply. Lifetime access and a certificate of completion are included.

Programming for Everybody (Getting Started With Python)

While not focused on machine learning per se, this course is necessary for anyone who has yet to work with Python. Pair it with one of the other courses on our list, and your success is guaranteed.

As the name implies, this course covers all the basics. It is designed to allow virtually anyone to follow, regardless of their skills. The simplest math is all you need.

You’ll also need 19 hours to complete this course offered by the University of Michigan. However, the instructor snuck a couple of non-Python-related stories into those 19 hours, which some learners didn’t like.

If you don’t mind a break here and there, join this course on Coursera for free or $49 (a little over €45) if you want a certificate.

Additional Resources for Learning Python for Machine Learning

Perhaps you can’t get enough of learning about Python. Or you find Python for machine learning courses lacking information. Whatever the case, you can find additional resources (both online and offline) to help you master this programming language. Check out some of our favorites:

  • Books and e-books: “Python for Data Science, for Dummies,” “Introduction to Machine Learning with Python: A Guide for Data Scientists,” “Python Data Science Handbook: Essential Tools for Working with Data”
  • Blogs: Planet Python, Real Python
  • YouTube channels: IBM Technology, Google Career Certificates, techTFQ
  • Community forums and discussion groups: Kaggle Discussions, Reddit (r/learnpython)

The Path to Python

As you can see, there’s no shortage of Python for machine learning courses, even hosted by some of the biggest names in the industry. Take one of the listed courses or combine them; the choice is all yours. All that matters is that you ultimately master this programming language and crush any data science career you choose.

If these courses aren’t enough to quench your thirst for knowledge, a Bachelor’s in Modern Computer Science will definitely do the trick. With it, you can learn all the ins and outs of Python and machine learning in general.

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The 10 Things That We Should Reflect Upon for 2026
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Jan 19, 2026 6 min read

2025 has come to a close, with 2026 already underway. There are many exciting events ahead and future milestones to aim for and look forward to. But it’s also the ideal time to look back over the last 12 months, exploring the most notable achievements we’ve made, lessons we’ve learned, and important moments to reflect on as the new year continues for OPIT’s staff, students, and broader community.

1. Student Commitment

Studying isn’t always easy. It involves long days, and even long evenings sometimes, with a seemingly never-ending series of tasks to accomplish and goals to aim for. It can take a lot out of even the most hard-working and dedicated individuals.

Yet, despite the hardships and challenges, OPIT students demonstrated remarkable resilience, continuous curiosity, and indefatigable determination throughout 2025. Looking back on the year, students at all levels of the OPIT community should feel proud and celebrate their accomplishments.

2. Podcast Launch

2025 saw a lot of new arrivals at OPIT, with fresh projects and innovations arriving on the scene. Chief among them was the OPIT EDGE Podcast, an exciting addition to the institute’s ever-expanding multimedia offerings.

There have already been several episodes of the podcast for students and technology enthusiasts in general to enjoy, with the first episode of this student-driven project involving an in-depth discussion with industry expert Matteo Zangani on the potential of quantum AI technology.

3. Success Stories

While many new students have joined the OPIT ranks in 2025 and will also do so in 2026, others have now achieved their educational objectives and are already moving on to the next exciting steps and chapters in their personal and professional lives.

There are so many inspiring success stories from the last 12 months, it’s impossible to list them all. But just one notable example has to be Maria Brilaki, who recently concluded her Master’s in Responsible AI, defending a powerful thesis related to non-invasive glucose monitoring through near-infrared spectroscopy and machine learning.

4. Graduation in Malta

2025 was a big year of firsts for OPIT, including the institute’s first official graduation ceremony, which took place on March 8 at a grand ceremony in Malta, honoring the achievements of dozens of applied data science and AI graduates.

The hybrid event was open to both in-person and virtual attendees, bringing together members of the OPIT community from across the world. It was a huge moment for the graduates themselves and a thrilling milestone for OPI – a testament to all the hard work that has gone into building this institute.

5. OPIT AI Copilot

Artificial intelligence is the technology of the moment, and OPIT isn’t just dedicated to teaching the next-generation of technology leaders how to work with AI responsibly and efficiently; it’s also interested in harnessing the powers and potential of AI to improve its educational offerings, too.

This culminated in the development and release of OPIT AI Copilot in 2025. This groundbreaking AI tool now provides real-time, personalized learning support, along with contextual assistance, and is available on a round-the-clock basis for students to turn to, as and when they feel the need.

6. Hackathons

2025 also saw OPIT students and faculty take more active roles in various events, including hackathons. In November, for example, OPIT got involved with the 6th edition of the ESCP Hackathon, with several students entering as developers.

This was an exciting and unique opportunity for those students to meet up in person, put the skills they’ve honed during their time at OPIT to the test in a challenging environment, and learn from one another. OPIT will surely participate in more hackathons in the years to come, so stay tuned for more details on upcoming events and how you can play your part.

7. Strengthening Collaboration

From day one, OPIT has focused on building a strong network of established technology and business partners, opening doors and providing opportunities for both education and employment for its students.

This continued throughout 2025, with OPIT strengthening its connections with a number of world-leading organizations, including Accenture, AWS, Hype, Buffetti, and more. Through events like hackathons, career fairs, and more, OPIT makes the most of its ever-expanding and increasingly impressive professional network.

8. Online Career Fair

Another big first for 2025 was the inaugural OPIT Online Career Fair, an event that was held on November 19 and 20, with more than a dozen established and emerging companies from around the world in attendance, including the likes of Deloitte, Tinexta Cyber, Datapizza, RWS Group, Planet Farms, and Nesperia Group.

The only nature of this event ensured that students all enjoyed equal access, no matter where they were based, and everyone was able to hear from industry experts and enjoy the unique array of opportunities on offer, forging their own connections and learning more about brands they might like to work with or for in the future.

9. Education Innovation

OPIT has always been about innovating, delivering newer and smarter ways to learn for students across the globe, no matter their background, budget, or social class. And the institute has continually innovated over the course of 2025, helping students learn skills and broaden their knowledge efficiently and intuitively.

As we enter 2026, OPIT’s innovation is set to be on full display once more, with no less than two new courses for new applicants to choose from: AI-Driven Software Development (Elective) and Business Intelligence and Decision Making (Elective).

10. The Power of the OPIT Community

Perhaps the crowning achievement for OPIT in 2025 was the demonstrable success of not just individual students or faculty members, but the entire OPIT community, as a whole. Everyone, from alumni to new students and seasoned staff members, played their part in the institute’s success, paving the way for more great things and major milestones in 2026 and beyond.

As OPIT Rector and former Italian Minister of Education, Francesco Profumo, puts it:

“What inspires me most is the mindset of our students: forward-looking, responsible, and driven by a desire not just to succeed, but to contribute. Their dedication reminds us why education remains one of the most powerful forces for shaping the future.”

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The Value of Hackathons
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Jan 5, 2026 6 min read

Bring talented tech experts together, set them a challenge, and give them a deadline. Then, let them loose and watch the magic happen. That, in a nutshell, is what hackathons are all about. They’re proven to be among the most productive tech events when it comes to solving problems and accelerating innovation.

What Is a Hackathon?

Put simply, a hackathon is a short-term event – often lasting just a couple of days, or sometimes even only a matter of hours – where tech experts come together to solve a specific problem or come up with ideas based on a central theme or topic. As an example, teams might be tasked with discovering a new way to use AI in marketing or to create an app aimed at improving student life.

The term combines the words “hack” and “marathon,” due to how participants (hackers or programmers) are encouraged to work around-the-clock to create a prototype, proof-of-concept, or new solution. It’s similar to how marathon runners are encouraged to keep running, putting their skills and endurance to the test in a race to the finish line.

The Benefits of Hackathons

Hackathons provide value both for the companies that organize them and the people who take part. Companies can use them to quickly discover new ideas or overcome challenges, for example, while participants can enjoy testing their skills, innovating, networking, and working either alone or as part of a larger team.

Benefits for Companies and Sponsors

Many of the world’s biggest brands have come to rely on hackathons as ways to drive innovation and uncover new products, services, and opportunities. Meta, for example, the brand behind Facebook, has organized dozens of hackathons, some of which have led to the development of well-known Facebook features, like the “Like” button. Here’s how hackathons help companies:

  • Accelerate Innovation: In fast-moving fields like technology, companies can’t always afford to spend months or years working on new products or features. They need to be able to solve problems quickly, and hackathons create the necessary conditions to deliver rapid success.
  • Employee Development: Leading companies like Meta have started to use annual hackathons as a way to not only test their workforce’s skills but to give employees opportunities to push themselves and broaden their skill sets.
  • Internal Networking: Hackathons also double up as networking events. They give employees from different teams, departments, or branches the chance to work with and learn from one another. This, in turn, can promote or reinforce team-oriented work cultures.
  • Talent Spotting: Talents sometimes go unnoticed, but hackathons give your workforce’s hidden gems a chance to shine. They’re terrific opportunities to see who your best problem solvers and most creative thinkers at.
  • Improving Reputation: Organizing regular hackathons helps set companies apart from their competitors, demonstrating their commitment to innovation and their willingness to embrace new ideas. If you want your brand to seem more forward-thinking and innovative, embracing hackathons is a great way to go about it.

Benefits for Participants

The hackers, developers, students, engineers, and other people who take part in hackathons arguably enjoy even bigger and better benefits than the businesses behind them. These events are often invaluable when it comes to upskilling, networking, and growing, both personally and professionally. Here are some of the main benefits for participants, explained:

  • Learning and Improvement: Hackathons are golden opportunities for participants to gain knowledge and skills. They essentially force people to work together, sharing ideas, contributing to the collective, and pushing their own boundaries in pursuit of a common goal.
  • Networking: While some hackathons are purely internal, others bring together different teams or groups of people from different schools, businesses, and places around the world. This can be wonderful for forming connections with like-minded individuals.
  • Sense of Pride: Everyone feels a sense of pride after accomplishing a project or achieving a goal, but this often comes at the end of weeks or months of effort. With hackathons, participants can enjoy that same satisfying feeling after just a few hours or a couple of days of hard work.
  • Testing Oneself: A hackathon is an amazing chance to put one’s skills to the test and see what one is truly capable of when given a set goal to aim for and a deadline to meet. Many participants are surprised to see how well they respond to these conditions.
  • Boosting Skills: Hackathons provide the necessary conditions to hone and improve a range of core soft skills, such as teamwork, communication, problem-solving, organization, and punctuality. By the end, participants often emerge with more confidence in their abilities.

Hackathons at OPIT

The Open Institute of Technology (OPIT) understands the unique value of hackathons and has played its part in sponsoring these kinds of events in the past. OPIT was one of the sponsors behind ESCPHackathon 6, for example, which involved 120 students given AI-related tasks, with mentorship and guidance from senior professionals and developers from established brands along the way.

Marco Fediuc, one of the participants, summed up the mood in his comments:

“The hackathon was a truly rewarding experience. I had the pleasure of meeting OPIT classmates and staff and getting to know them better, the chance to collaborate with brilliant minds, and the opportunity to take part in an exciting and fun event.

“Participating turned out to be very useful because I had the chance to work in a fast-paced, competitive environment, and it taught me what it means to stay calm and perform under pressure… To prospective Computer Science students, should a similar opportunity arise, I can clearly say: Don’t underestimate yourselves!”

The new year will also see the arrival of OPIT Hackathon 2026, giving more students the chance to test their skills, broaden their networks, and enjoy the one-of-a-kind experiences that these events never fail to deliver. This event is scheduled to be held February 13-15, 2026, and is open to all OPIT Bachelor’s and Master’s students, along with recent graduates. Interested parties have until February 1 to register.

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