AI careers and skills.
AI has created many new roles, and not all of them need advanced maths. Today you'll see the main AI career paths, what each requires, and a realistic learning roadmap for each.
AI roles: from no-code to deep tech
| Role | What they do | Key skills | Coding needed? |
|---|---|---|---|
| AI-powered professional (any field) | Uses AI tools to work faster: marketer, analyst, teacher, designer | Prompting, judgment, domain knowledge | No |
| AI trainer / data annotator | Labels data and rates AI answers to improve models | Attention to detail, language skills, subject knowledge | No |
| Prompt and content specialist | Designs prompts and workflows for AI tools in a company | Writing, logic, testing | Little |
| Data analyst | Analyses data and builds reports and dashboards | Excel, SQL, Power BI/Tableau, some Python | Some |
| ML engineer | Builds and deploys machine learning models | Python, ML libraries, maths, cloud | Yes |
| AI engineer / developer | Builds apps using AI APIs and models (chatbots, RAG systems) | Python/JavaScript, APIs, databases | Yes |
| Data scientist | Uses statistics and ML to answer business questions | Statistics, Python, ML, communication | Yes |
| AI product manager | Decides what AI features to build and why | Business, users, basic AI understanding | Little |
A B.Com student can become a strong data analyst. A BA student with good language skills can do AI training and content work. A B.Tech student can aim for ML or AI engineering. There's a path for every background.
A realistic roadmap (technical path)
- Months 1–2: Python basics, Excel, statistics basics.
- Months 3–4: pandas, data cleaning, visualisation, SQL.
- Months 5–6: machine learning with scikit-learn; 2–3 projects.
- Months 7–9: deep learning basics or AI APIs and app building; deploy one project online.
- Ongoing: Kaggle competitions, open-source contributions, writing about what you learn.
Free learning resources
- Google's Machine Learning Crash Course (free).
- Kaggle Learn micro-courses (Python, pandas, ML), free with certificates.
- fast.ai "Practical Deep Learning for Coders" (free).
- Elements of AI (free introductory course).
- AI providers' free courses and documentation.
A BA graduate with excellent English and Urdu wants to enter AI without heavy coding. Which role fits best to start?
Language skills are valuable for training and evaluating AI, especially for Indian languages.
Skills that never go out of date
What's the best first step towards becoming a data analyst?
Analysts need solid data fundamentals first.
Your task (20 min)
Pick one role from the table that fits your background. Write a 6-month plan using the roadmap and the free resources. Find 5 real job posts for that role in Hyderabad on LinkedIn and list the top 5 required skills.
Lesson 14 complete!
You know the main AI-related roles, the skills they need, and a roadmap to start. Next: building your AI portfolio.
Next: Build your AI portfolio →