This One-Day Crash Course in AI & Machine Learning is a compact yet intensive program aimed at introducing participants to the core concepts of AI and ML in a practical, beginner-friendly format. You'll explore how machines are trained to think, predict, and make decisions using real-world data. Through interactive sessions and hands-on demonstrations, you'll gain insights into supervised vs. unsupervised learning, model training, and popular tools like Python, scikit-learn, and basic neural networks.
This course is ideal for students, fresh graduates, and professionals from non-tech or semi-tech backgrounds who want a solid foundation in AI/ML within a single day.
By the end of this crash course, participants will be able to:
Understand the basics of AI and Machine Learning concepts.
Identify real-world applications of AI in various industries.
Work with basic ML algorithms such as Linear Regression and KNN.
Perform simple data preprocessing and model training using Python.
Interpret model outputs and performance metrics.
Explore an introduction to Deep Learning and Neural Networks.
Gain exposure to tools like Jupyter Notebook, scikit-learn, and Google Colab.
Receive a Certificate of Participation to boost your resume.