I'm a product manager curious about AI who wants to genuinely understand it -not just the hype, but the actual mechanics, ethics, business applications, and limitations. I want to go from informed amateur to someone who can lead an AI product with technical credibility.
Plan for: Build a Self-Directed Deep-Dive into Artificial Intelligence in 6 Months
Getting bogged down in complex mathematical proofs, leading to burnout.
Focus strictly on visual and intuitive explanations of math. If a formula takes more than 30 minutes to grasp, move on to a conceptual video instead.
Getting stuck in 'tutorial hell' and struggling to build an original prototype.
Scope the prototype very small. Start by just getting a single API call to work, then slowly add UI elements using Streamlit.
Underestimating the time required to train deep learning models on a local machine.
Use cloud-based Jupyter notebooks like Google Colab which provide free or cheap GPU access for training.
Ready to make this plan yours?