Simple Definitions (2 Minutes)
AI (Artificial Intelligence) — the broader field of building systems that perform tasks associated with human intelligence.
ML (Machine Learning) — a subset of AI in which systems learn patterns from data.
Data Science — using data, statistics and technology to produce useful business insights, with ML as one of the tools.
Samajhne ka tareeka: AI > ML > Data Science — nested circles.
Career Paths & Salaries (India 2026)
Data Analyst: Rs.6–15 LPA — SQL, Excel, Power BI, basic Python
Data Scientist: Rs.12–30 LPA — stats, ML, storytelling
ML Engineer: Rs.15–40 LPA — building and deploying models in production
AI/GenAI Engineer: Rs.18–55 LPA — LLMs, RAG, agents
Which Is Right for You? (Decision Framework)
- Non-programmer, business-minded? → Data Science course (start Python from the fundamentals)
- Engineer, math comfortable? → Machine Learning course
- Comfortable with programming and focused on future AI skills? → AI & GenAI course
WC Skills offers updated 2026 learning paths, with Generative AI topics included where relevant.
A Practical Shortcut
If you are unsure where to start, begin with a Python foundation (8 weeks) and then identify which area best matches your interests. WC Skills offers a progression path from Python to Data Science, Machine Learning and AI.
Python Course · Data Science · AI & GenAI
Ready to Start?
Attend a free demo class to review the curriculum and career-support terms before enrolling. Call Email Admissions ya enquire online.