Short answer
Start with AI fundamentals before chasing tools. First understand what AI, machine learning, generative AI and large language models are. Then use an AI assistant every day on your own real work, learn to write clear instructions, and check its output. Once that is comfortable, choose a direction by goal: applying AI at work, automating business workflows, or engineering AI systems with Python.
By Chandan Maheshwari, AI mentor & consultant, founder of School of AI · Last updated
Key takeaways
- Concepts first, tools second — tools change every few months, concepts don't.
- Practise on your own real tasks, not on toy examples.
- Your goal decides the path: AI user, AI builder or AI engineer.
- No coding is needed to start.
Step-by-step starting roadmap
A sequence that works for most beginners, whatever their background.
- Understand the vocabulary — AI, ML, deep learning, generative AI, LLMs
- Pick one AI assistant and use it daily for writing, research and summarising
- Learn prompting — give context, a role, a format and examples
- Learn to verify — AI can be confidently wrong, so check facts and numbers
- Apply AI to one repeatable task in your study, job or business
- Choose your next stage: applied GenAI, automation, or technical AI engineering
Who this applies to
Students, working professionals, business owners and career changers. The first steps are the same for everyone; the path only splits once you know what you want AI to do for you.
Common mistakes
Collecting tool lists without using any of them, starting with advanced maths when your goal is applying AI at work, relying on AI output without checking it, and jumping between free videos without ever finishing a real task.
Learning this with School of AI
GenAI Foundation Program
Live, mentor-led and online, open to learners anywhere in India.