What are the core topics covered in an AI certification course?

If you’re looking at an AI certification course, say from H2K Infosys, it usually blends the basics with a good amount of practical exposure. It’s not just sitting through theory, you actually get a feel for how things work in real scenarios.

The topics typically look something like this:

• Starting with the basics of AI- what it really means and where it’s used
• Python programming 
• Some math and statistics- not too heavy, but enough to make sense of models
• Machine Learning, both supervised and unsupervised
• Deep Learning and neural networks - this part can get pretty interesting
• Natural Language Processing, especially for text-based applications
• Computer Vision- working with images and visual data
• Data preprocessing and visualization
• Tools like TensorFlow and Scikit-learn
• A bit about AI ethics- bias, fairness, responsible use
• And yeah, hands-on projects to actually apply everything you’ve learned

From what I’ve seen, the whole point of an AI certification course like H2K Infosys is to make you comfortable doing the work, not just understanding it on paper.