Overview
Grasp the core concepts of Machine Learning — what it is, how it works, and why it matters., Understand key ML terms like datasets, features, training, and testing., Use Weka’s visual interface to explore data, build models, and evaluate performance., Build your first real-world ML project — predicting diabetes from real patient data., Interpret results and gain confidence to apply ML techniques to your own datasets.
This course is designed for absolute beginners who are curious about machine learning but feel intimidated by programming or technical jargon. If you've ever wondered how machines learn, but don’t know where to start — this course is for you. You’ll find this course valuable if you are: A non-programmer who wants to understand machine learning without writing code. A student or professional from any field — business, healthcare, education, social sciences — looking to apply ML concepts practically. A lifelong learner who enjoys exploring new technologies in a simple, intuitive way. A teacher or educator seeking a beginner-friendly resource to introduce ML to others. Someone who prefers visual, hands-on learning using tools like Weka rather than abstract theory. No prior knowledge of machine learning, statistics, or programming is required. We start from scratch and build up — making ML accessible, engaging, and empowering for everyone.
No Experience Needed! This course is designed for absolute beginners, so there are no prerequisites. Here's what you need to know: No programming knowledge required — You’ll learn machine learning without writing a single line of code. No prior experience with ML needed — We start from scratch, making it accessible even to someone who’s never heard of machine learning. No technical background necessary — The course is crafted like a guided tour for the layperson, using intuitive tools like Weka to make concepts easy to grasp. If you’re curious, motivated, and ready to explore how machines learn — this course is for you. Let’s make machine learning simple, practical, and empowering — together!
ML Made Easy: A 2.5-Hour Crash Course with Weka
Tagline: Machine Learning in Action – Build Your First Model in Just 2.5 Hours!
"Your First Step into Machine Learning! No Coding Required
Are you curious about Machine Learning but overwhelmed by complex math or coding?
This course is your shortcut to understanding and applying ML — no programming experience required!
In just 2.5 hours, you’ll go from zero to building your first predictive model using Weka, one of the most beginner-friendly ML tools available.
What You’ll Learn
Grasp the core concepts of Machine Learning — what it is, how it works, and why it matters.
Understand key ML terms like datasets, features, training, and testing.
Use Weka’s visual interface to explore data, build models, and evaluate performance.
Build your first real-world ML project — predicting diabetes from real patient data.
Interpret results and gain confidence to apply ML techniques to your own datasets.
Course Breakdown
Part 1 (≈1h 50m): Simple, clear explanations of Machine Learning fundamentals — no jargon, just clarity.
Part 2 (≈35m): Hands-on demonstration — build, train, and test your first ML model step-by-step in Weka, using a real diabetes dataset.
Part 3 - Further introduction to machine learning concepts and paradigms with additional videos.
Why Take This Course?
Learn by doing — not by theory alone.
Perfect for beginners, students, and professionals who want a quick, practical intro to ML.
No coding, no stress — just results you can see and understand.
By the End of This Course
You’ll confidently understand the essentials of Machine Learning and walk away having built your first predictive model — all in one afternoon!
Join Now
Stop waiting and start creating — your journey into Machine Learning begins today with Weka!
Prof. Aadam S. O. Olatunji
Professor Sunday Olusanya Olatunji (widely known as Aadam) is a distinguished global scholar, visionary academic leader, and pioneering researcher in the field of Artificial Intelligence and Machine Learning. Born on April 7, 1974, in Afin Akoko, Ondo State, Nigeria, he has risen to international prominence as one of the most respected World scientists of his generation, blending deep theoretical insight with practical applications that impact multiple sectors of human endeavor.
Professor Olatunji is currently the Pioneer Dean of the Faculty of Computing at Adekunle Ajasin University, Akungba Akoko, Nigeria, where he has been instrumental in laying the foundation for cutting-edge research, teaching, and curriculum development in computing disciplines. Prior to this appointment, he served for over a decade as a Professor of Artificial Intelligence and Machine Learning at Imam Abdulrahman Bin Faisal University (IAU), Saudi Arabia, where he held several influential positions, including Head of the AI and Data Science Research Group, and Chairman of the Curriculum Unit of the AI Department. He has also lectured and conducted research in prestigious institutions in Malaysia, Saudi Arabia, and Nigeria, contributing significantly to funded projects for global industry leaders such as Saudi Aramco. His significant contributions were recognized by the Kingdom of Saudi Arabia, which granted him a Premium Residency, or 'Saudi Green Card', a rare honor bestowed upon only the most exceptional foreign experts.
He obtained his Ph.D. in Computer Science from the Universiti Teknologi Malaysia (UTM), where he distinguished himself as the Best Graduating PhD Student in 2012. His academic path also includes an Masters in Information & Computer Science from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, earned under a prestigious research assistantship, an Masters in Computer Science from the University of Ibadan, Nigeria, and a Bachelor (Hons.) in Computer Science from Ondo State University, Ado-Ekiti (now Ekiti State University). This strong academic pedigree forms the basis of his multidisciplinary and globally relevant research agenda.
Professor Olatunji’s contributions to scholarship are immense and widely cited. He has authored over 157 peer-reviewed works, including 108 journal articles in top-tier Q1 journals, 45 conference papers, 5 books and book chapters, and 4 theses. His research covers a wide spectrum of applications, including but not limited to:
Healthcare AI: Developing predictive models for early diagnosis of cancer, Alzheimer’s disease, and multiple sclerosis.
Oil & Gas: Creating advanced models for reservoir characterization, PVT property prediction, and improved exploration.
Energy Systems & Computational Material Science: Pioneering research into renewable energy modeling, CO₂ adsorption, and the properties of superconductors and nanomaterials.
Environmental Science: Applying hybrid AI systems to pollution analysis, sustainability modeling, and climate-related challenges.
Finance & Business: Predicting bankruptcy risks and stock market fluctuations through advanced computational intelligence techniques.
These interdisciplinary projects highlight his ability to connect AI research with pressing societal, environmental, and industrial challenges.
His excellence has been recognized globally. Professor Olatunji has been listed in the Top 2% of the World’s Most Influential Scientists by Stanford University (2021–2025) for five consecutive years and was named the “No. 1 Artificial Intelligence Researcher in Nigeria” by the National Universities Commission (NUC) in 2025. Further acknowledging his international impact.
Beyond his research, he is deeply committed to mentorship and knowledge democratization. He has supervised numerous Master’s and PhD theses across three continents and developed curricula for next-generation AI education. In 2020, he launched the free global initiative Machine Learning for All, which offers weekly online training sessions accessible worldwide, making AI education inclusive and barrier-free. Through these initiatives, he has nurtured and inspired a new generation of AI-savvy scientists, engineers, and entrepreneurs.
He is also an active member of several professional organizations. His active participation in these bodies reflects his dedication to advancing computing and engineering knowledge globally.
Fluent in English, Yoruba, and Arabic, Professor Olatunji embodies the rare combination of African rootedness and global reach. His career reflects not only academic brilliance but also a deep passion for bridging theory with practice, knowledge with service, and innovation with humanity’s most urgent needs. He continues to serve as a mentor, educator, thought leader, and bridge-builder between continents, leaving an enduring legacy in the ever-evolving world of Artificial Intelligence.
Among his voluntary community services to the People, irrespective of location, is the setting up of a free weekly online training program (since 2020) where AI/Machine Learning and Data Science is being taught and practiced towards making participants become AI-savvy irrespective of their background. The training is code-named “Machine Learning for All”, and there is a YouTube channel dedicated to hosting all recorded sessions and other additional guide’s video, and they can be assessed here:
He also provides free mentorship services and advising for All, irrespective of location, especially the youths, to facilitate better sense of direction and guidance.