Project briefs, not videos
Five briefs built on realistic datasets and business problems. You submit work, not quiz answers.
Internships / Artificial Intelligence
Virtual Internship Program Artificial Intelligence
Build AI and ML models, from NLP and computer vision to LLM integrations, with Python, TensorFlow and OpenAI APIs.
- Duration
- 3 months
- Format
- Remote · live + recorded
- Work
- 5 project briefs
- Feedback
- Written, on every submission
- Certificate
- Verifiable online
The program
What the AI & Machine Learning Virtual Internship Program is
The Artificial Intelligence Virtual Internship Program at PrimrIQ puts you at the working edge of the field. You will build production-minded AI systems, from training deep learning models to wiring LLMs into useful applications.
Mentors review each project and push you past tutorials: data choices, evaluation, cost and deployment. You finish with AI projects that show how you think, not only what you ran.
Recognised by
Tools
What you will work in
- Python
- TensorFlow
- PyTorch
- OpenAI API
- Deep Learning
- NLP
- Computer Vision
- Scikit-learn
What you get
A mentor reads your work
Written feedback on every submission: what works, what a senior would change, and why.
Live sessions, recorded
Join live to ask questions as you go. Every session is recorded if you miss one.
Resume and interview prep
A resume review and mock interview practice in the final weeks, using the projects you built.
Offer letter on joining
An official offer letter with a reference number, issued when your internship starts.
Certificate you can prove
A completion certificate whose reference anyone can check on primriq.com.
Certificate
A certificate you earn
- Issued by PrimrIQ AI Services LLP, an ISO 9001 certified and MSME-registered company.
- Carries a unique reference that resolves at primriq.com/verify.
- Earned by completing your project briefs, not by attendance.
- Lists the track and duration, so it reads clearly on LinkedIn and resumes.
Is this suitable for beginners?
Some Python helps, but the first phase covers the Python and maths you need before any modelling.
What kind of AI projects will I build?
A text classifier, an image recognition model, an LLM-powered assistant and a deployed model API, among others.
Will I learn about ChatGPT and LLMs?
Yes. A full phase covers prompting, embeddings and building applications on OpenAI APIs.
What career paths open up after this program?
ML engineer, AI engineer, data scientist and applied research roles at startups and product companies.
What hardware do I need?
Any laptop works. Training runs on free cloud GPUs such as Google Colab.