AI & ML Algorithms and Their Practical Applications
Master the core algorithms that power modern artificial intelligence—from large language models to deep learning, reinforcement learning, and unsupervised learning. This course blends intuitive explanations, live demonstrations, and hands-on coding to help you understand how AI systems work and how to apply them to real-world problems.
 
What You’ll Learn
Gain a clear understanding of how major AI and machine learning algorithms operate, including LLMs (like those used by ChatGPT), neural networks, clustering methods, and reinforcement learning.
Watch intuitive, example-driven demonstrations that illustrate how these algorithms learn, adapt, and make predictions.
Use essential development frameworks such as TensorFlow, PyTorch, and Scikit-learn to build and experiment with AI models.
Work through practical, real-world exercises in Python and Jupyter Notebook so you can immediately begin building your own AI projects.
 
Course Description
 
AI & ML Foundations demystifies the rapidly evolving world of artificial intelligence and large language models. You’ll explore how AI and ML techniques can automate processes, reveal hidden insights, accelerate decision-making, and enhance productivity across industries.
 
Through clear explanations and hands-on examples, you'll learn what the underlying algorithms—such as K-Means, SVM, XGBoost, DBSCAN, and transformer-based LLMs—can do, how they work, and when to use them. By the end of the course, you’ll have both the conceptual understanding and practical skills needed to start applying AI and ML techniques confidently in your own work.