This is a beginner-friendly course designed to help you understand what AI is, how it works, where it is used, and why it matters. You’ll explore the evolution of AI, Generative AI, machine learning, real-world applications, career pathways, responsible AI use, and future trends such as agentic AI, edge AI, and human-AI collaboration. Through short lessons, hands-on labs, scenario challenges, games, and a capstone project, you’ll learn how to use AI thoughtfully, evaluate its strengths and limitations, and build the confidence to work with AI as a practical tool in school, work, and everyday life.
- Teacher: Dr. Raju Pandey
This is a practical, hands-on course designed to introduce learners to Data Science, Python programming and tools needed for Machine Learning. Through clear lessons, real-world examples, live labs, quizzes, programming projects, and complete applications, you will learn how data is analyzed, how machine learning models are built and trained, and how Python-based tools are used to solve practical problems. The course builds a strong foundation in Python, statistics, NumPy, Pandas, Matplotlib, Scikit-learn, data preparation, and feature engineering, helping you gain confidence in working with data, algorithms, and intelligent systems across real-world professional settings.
- Teacher: Emmanuel Asante
- Teacher: Github Grader
- Teacher: Dr. Raju Pandey
This is a hands-on, outcome-based program designed to help learners build the technical foundation and practical engineering skills needed to develop real-world machine learning applications. In this course, you will explore machine learning fundamentals, supervised and unsupervised algorithms, regression, classification, clustering, feature engineering, model validation, ensemble learning, and real-world applications such as sentiment analysis and stock price prediction. Through case studies, live programming labs, quizzes, projects, and complete applications using Python and tools such as Scikit-learn, you will learn how to prepare data, select suitable algorithms, build and evaluate models, optimize performance, and move toward deploying machine learning solutions in production environments.
- Teacher: Emmanuel Asante
- Teacher: Github Grader
- Teacher: Dr. Raju Pandey
This course introduces learners to the evolution, scale, and significance of Big Data technologies. Participants explore major milestones in data analytics, understand the implications of massive data generation, and examine how organizations leverage Big Data for strategic advantage.
- Teacher: Dr. Raju Pandey
