Applications are open for the CodeMore Artificial Intelligence & Machine internship on the AICTE Internship Portal. It has a performance based stipend, runs for 2 months and is fully remote. CodeMore has 2 openings. Apply by 31 Oct 2026. CodeMore posted it on 1 Oct 2026.
The listing does not limit it to one degree or stream. It suits students who want hands-on work with Machine Learning, Data Analysis and Python. This post covers the work you will do, who can apply, the stipend, key dates and how to apply, with the official link. Details the listing leaves out are marked as not specified.
Internship Overview
Here are the key details in one table.
| Organization | CodeMore |
|---|---|
| Internship Role | Artificial Intelligence & Machine Learning Intern |
| Stipend | Performance Based |
| Location | Remote (work from home) |
| Work Mode | Virtual Internship |
| Internship Type | Not specified |
| Duration | 2 Months |
| Openings | 2 |
| Last Date to Apply | 31 Oct 2026 |
| Apply On | AICTE Internship Portal |
About CodeMore
No company profile is given in the listing. Check CodeMore's official website and LinkedIn page before you apply.
Internship Details
This Artificial Intelligence and Machine Learning Internship is designed to provide hands-on exposure to core AI and ML concepts used in real-world applications. The internship will also provide exposure to data visualization, classification, regression, clustering, model optimization and practical problem solving.
Roles and Responsibilities
As per the listing, your work will include:
Interns will learn data preprocessing, exploratory data analysis, feature engineering, supervised and unsupervised learning, model training and model evaluation techniques. Interns will work with Python, popular machine learning libraries and real datasets to build predictive models and intelligent systems. Interns will understand how machine learning workflows are designed from data collection and preprocessing to training, testing and deployment.
This internship will help students develop a strong foundation in Artificial Intelligence and Machine Learning, build practical projects for their portfolios and prepare for advanced opportunities in data-driven industries.
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Eligibility Criteria
You can apply if you match these points:
- Students and graduates from any degree or stream
- You can commit to the full 2 months
Required Skills
Skills mentioned in the listing:
- Machine Learning
- Data Analysis
- Python
Stipend and Benefits
The listing does not give a fixed stipend amount, so we show it as performance based. Ask about the exact amount in your interview.
Benefits
- Hands-on experience with real-world Artificial Intelligence and Machine Learning projects. Guidance from experienced mentors. Exposure to industry-standard Python and machine learning tools. Practical experience with real datasets and predictive models. Portfolio development with completed AI and ML projects. Industry-recognized Digital Certificate. Exposure to real-world AI use cases and problem solving
- The program includes practical assignments, mini-projects and mentorship from experienced professionals
Internship Duration and Mode
The internship runs for 2 months. This is a virtual internship: you work from home, so a laptop and reliable internet are needed.
Important Dates
| Posted On | 1 Oct 2026 |
|---|---|
| Last Date to Apply | 31 Oct 2026 |
| Internship Start Date | Not specified |
Required Documents
The listing does not list any required documents. Keep an updated resume in PDF format ready, as most forms ask for one.
Selection Process
The listing does not describe the selection process. After you apply, watch your email and phone for any test or interview call.
How to Apply
- Tap "Apply Now" below to open this internship on the AICTE Internship Portal.
- Log in with your student account. If you are new, register first with your college details.
- Check that you meet the eligibility, then click Apply and submit.
- Track your application status on your portal dashboard.
Important Official Links
- Official listing and application: Artificial Intelligence & Machine Learning internship listing on the AICTE Internship Portal
- AICTE Internship Portal: internship.aicte-india.org
- CodeMore website: not given in the listing
Practical Tips for Applicants
- Complete your AICTE Internship Portal profile (college, course and year) before you apply, so the form goes through in one go.
- Share one dashboard or analysis you made, even a college project. Put the link in your resume.
- Keep your resume to one page and list the skills this listing asks for first.
- Do not wait for the last day. Some companies stop taking applications once they have enough.
- Before an interview, spend ten minutes reading about CodeMore on its website and LinkedIn.
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Frequently Asked Questions
Quick answers to the most common questions about this internship.
1How much does the CodeMore Artificial Intelligence & Machine internship pay?
It is a performance based stipend, so there is no set amount before you join.
2Can I do this internship from home?
Yes. It is a virtual internship, so you can work from home.
3Who is eligible to apply?
Any degree or stream is fine. It is not limited to one course.
4When does the application close?
Applications close on 31 Oct 2026. The company plans to take 2 interns.
5How can I apply?
Open the listing with the Apply Now button, sign in to the AICTE Internship Portal and submit your application there.
6Will I get a certificate?
The company gives a completion certificate at the end.
7Is there any fee to apply?
The listing mentions no fee. A real internship never needs a payment to apply or to join.
Conclusion
This Artificial Intelligence & Machine Learning role at CodeMore is an internship with a performance based stipend, lasting 2 months. Apply through the official listing before the last date, and confirm the latest details there first.
About the Author
Disclaimer: This article is for information only. AICTE Internship Help Desk is an independent informational website and is not affiliated with AICTE or CodeMore. Check the latest eligibility, stipend, deadlines and application details on the official website before you apply.
