I've recently graduated with a B.E. in AI/ML, but sadly, the program only covered theoretical concepts without practical knowledge. Since I graduated in 2025, the AI landscape has changed drastically, and I feel lost with so many learning options. While I work as a Python Developer, I'm not particularly fluent in Python, so I'm looking for advice on how to effectively upskill to land a decent job in this fast-moving field. Any suggestions on where to start or how to focus my learning?
1 Answer
It sounds like you're in a common position after finishing a degree—lots of theory but not much practice. My advice is to choose a specific area to focus on first, like strengthening your Python knowledge, then dive into data structures and algorithms. Also, consider using either PyTorch or TensorFlow for machine learning. Try to build small projects on a regular basis to solidify your skills and ignore much of the hype out there.
Thanks for the tips! Do you know of any communities or tools for tracking progress while learning?