Internship in AI, ML & Data Science
Six months, fully remote. Learn from industry practitioners and researchers, build real business projects, and finish with a certificate, an internship letter and a portfolio.
Remote mode
6 months duration
5+ business projects projects
20+ real scenarios practice
Your route through the programme
- Month 1 Python programming Python, NumPy and Pandas, Git, and working with real datasets.
- Month 2 Machine learning Regression, classification, clustering and model evaluation with scikit-learn.
- Month 3 Deep learning Neural networks, CNNs and sequence models with TensorFlow and PyTorch.
- Month 4 Cloud: AWS & Azure Training and deploying models as services on AWS and Azure.
- Month 5 Generative & agentic AI LLM APIs, prompt design, retrieval (RAG) and AI agents.
- Month 6 Business projects Capstone work on business problems, then resume and interview preparation.
- ThenJob-readyCertificate, internship letter and a project portfolio.
What's included
Learn at your own pace on the LMS, with live help whenever you need it.
You receive
- Training certificate on completion
- Internship letter on BigAI letterhead
- Industry projects
- Work on problems taken from real businesses, not toy datasets.
- Doubt-solving sessions
- Regular live sessions to get unstuck with a mentor.
- Dedicated LMS
- Lessons, notebooks and assignments in one place, available any time.
- Career guidance
- Help choosing between data science, ML engineering and AI roles.
- Resume building
- Turn your projects into a resume and GitHub profile recruiters can read.
- Interview preparation
- Mock interviews and practice questions for AI and data roles.
- Job assistance
- Practical support with applications once you complete the programme.
Where it can lead
The programme prepares you for entry-level roles across AI and data.
- Data scientist
- Data analyst
- ML engineer
- AI engineer
- AI architect
- Business analyst
What past interns say
I got a lot of support from my programme manager and the mentors. Managing work alongside the internship felt daunting at first, but by the end of the first module I had learned how to balance both.
I joined with an interest in AI and ML but no previous knowledge. The programme gave me a complete overview of the field and the methods used in it.
Questions
Do I need prior programming experience?
No. The first month starts with Python from the basics. Comfort with school-level maths helps.
Who can apply?
Students in their final years, recent graduates, and working professionals moving into AI or data roles.
Is the internship fully online?
Yes. Sessions, the LMS and project reviews are all remote, so you can join from anywhere in India.
How much time does it need each week?
Plan for around 10–12 hours a week. Lessons are self-paced, with scheduled doubt-solving sessions.
What do I receive at the end?
A training certificate, an internship letter on BigAI letterhead, and a portfolio of completed projects.
What happens after I apply?
Our team contacts you within three working days to explain the next batch, fees and start date.
Ready to start?
Applying takes two minutes. We call you within three working days with batch dates and fees.