How to learn artificial intelligence step-by-step?

Getting into AI can be a bit daunting initially, However things to begin with 

• Start with the basics - Get a rough idea of what AI, Machine Learning, and Deep Learning actually are. Don’t overthink it just understand the big picture first.
• Pick up Python - You don’t need to master it overnight. Just get comfortable with the basics, then slowly explore libraries like NumPy and Pandas as you go.
• Don’t skip the math - It’s not the most exciting part, but topics like probability and linear algebra do help things click later. Even a basic understanding goes a long way.
• Move into Machine Learning - This is where things get interesting. Start with simple algorithms regression, classification and try them out yourself instead of just reading.
• Explore Deep Learning - Once you're comfortable, dip into neural networks, maybe some NLP or computer vision. Tools like TensorFlow or PyTorch will come up naturally here.
• Build small projects - Honestly, this is where most of the learning happens. Even a simple chatbot or prediction model teaches you more than hours of theory.
• Figure out your direction - After some exposure, you’ll probably find what interests you maybe data science, NLP, or something else.
• A quick tip - If you feel stuck or scattered , a structured online AI training program can really help keep things on track.

Recommendation
Some people go with programs like H2K Infosys for online AI training mainly because they include real projects and a bit of career guidance, which can be useful when you're trying to turn this into a job.