BA to AI BA: Your Practical Transition Guide with Diwakar Singh

Ready to move from traditional business analysis into AI — but freeze when engineers start talking about LLMs, RAG, tokens, and embeddings?

This practical 32-page field guide closes that gap. Written specifically for business analysts, product owners, and consultants, it teaches you the exact language and concepts you need to confidently lead AI projects and earn the trust of AI and ML engineers — without becoming a data scientist.

Inside you'll learn:

1. AI, ML, deep learning, and Generative AI — what they actually mean
2. LLMs demystified: tokens, context windows, temperature, and hallucination
3. Prompt engineering techniques you can practice today
4. RAG vs. fine-tuning — and when to recommend each
5. Machine learning essentials: precision, recall, overfitting, and bias
6. How to write testable requirements for probabilistic AI systems

Plus four hands-on bonuses:

1. BA templates for AI projects (requirements docs, user stories, discovery questions)
2. 6 prompt engineering exercises
3. AI BA interview prep with model answers
4. A 45-term AI/ML glossary

Stop nodding along in AI meetings. Start leading them.