To help young learners step confidently into this evolving domain, the Edunet Foundation, in collaboration with IBM SkillsBuild Internship 2025, has launched its Artificial Intelligence and Machine Learning Internship for the November 2025 batch. This six-week internship program is designed to offer students real-world exposure, hands-on practice, and industry-aligned learning.
If you are looking for freshers hiring opportunities, skill enhancement programs, or want to grow your profile through a recognized off campus drive, this internship could be the perfect stepping stone into the world of AI.
IBM SkillsBuild Internship 2025
| Key Detail | Information |
|---|---|
| Company Name | Edunet Foundation – IBM SkillsBuild |
| Internship Role | Artificial Intelligence and Machine Learning Intern |
| Duration | 6 Weeks |
| Qualification | BE, BTech, BCA, MCA (or similar technical fields) |
| Experience Required | Freshers / Students |
| Location | Pan India (Virtual) |
| Apply By | 30 November 2025 |
Job Overview
The AI and ML Internship Program – November 2025 batch is a full-time, six-week virtual internship open to students across India. Although the internship does not offer a stipend, it provides immense value through structured virtual workshops, practical training, and guided mentorship from industry professionals.
Participants will gain a strong foundation in Artificial Intelligence, Machine Learning, and real-world problem-solving through project-based learning. This initiative is part of the broader Edunet Foundation recruitment 2025 and is suitable for students pursuing technical education in fields such as Computer Science, Information Technology, Electronics, and related areas.
Key Responsibilities
During the six-week internship, students will participate in a series of structured learning modules, live virtual workshops, and project development tasks. The key responsibilities include:
- Attending Weekly Workshops
Participants must engage in weekly online sessions conducted by industry mentors who will introduce core and advanced AI and ML concepts. - Learning AI and ML Foundations
The program covers essential Artificial Intelligence principles, Machine Learning algorithms, data analysis methods, and model-building techniques. - Hands-On Project Work
Students will work on real-world projects designed to develop their practical skills. The final individual AI project is a mandatory requirement for successful completion. - Continuous Skill Development
Learners will be expected to practice coding, experiment with algorithms, and explore AI applications through guided learning materials. - Submitting Assessments and Project Reports
Participants must complete tasks and submit assessments to demonstrate their understanding throughout the internship.
Skills Required
This internship is ideal for students who possess an interest in emerging technologies and want to build their career in the AI domain. Essential skills and qualities include:
- Basic understanding of programming (Python preferred).
- Strong interest in Artificial Intelligence and Machine Learning.
- Logical thinking and problem-solving skills.
- Curious mindset and eagerness to learn.
- Ability to participate in virtual workshops and complete assigned tasks.
- Access to a laptop or computer with a stable internet connection.
This internship is suitable for enthusiastic learners seeking AI and ML freshers hiring opportunities in the near future.
Why Join Edunet Foundation – IBM SkillsBuild Internship?
The IBM SkillsBuild internship offers benefits that extend far beyond classroom learning. Here’s why students should consider joining:
Accelerated Learning
The program fast-tracks your learning journey by exposing you to industry-relevant AI and ML concepts in a structured manner. By the end of six weeks, you gain practical knowledge that typically requires months of self-study.
Industry Mentorship
Students receive guidance from experienced industry professionals who share real-world insights, best practices, and career advice. This mentorship can significantly enhance your understanding of the field.
Project-Based Experience
The internship emphasizes hands-on practice. Working on real projects builds your portfolio and strengthens your resume for future job applications.
Certifications and Digital Credentials
Upon successful completion, you will receive a Certificate of Completion from Edunet Foundation and a Digital Credential, which can be added to your LinkedIn profile or resume to showcase your achievements.
Career Readiness
With the growing demand for AI and ML skills, this internship boosts your career prospects and prepares you for recruitment drives, including various off campus drives and recruitment 2025 opportunities.
Salary Details
This is an unpaid internship, offering ₹0 stipend, as mentioned in the official program details. However, the real value lies in the training, certification, digital credentials, and project-based learning experience that significantly enhances your employability.
Hiring Locations
The internship is open Pan India and conducted entirely online, allowing students from any region to participate. The virtual format ensures flexibility and accessibility for learners nationwide.
How to Apply
Interested candidates can apply online until 30 November 2025. Applicants must have:
- A valid Gmail account for registration.
- Access to a laptop or computer.
- A stable internet connection.
- Updated browsers such as Google Chrome or Mozilla Firefox.
IBM Apply Link : Click here
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About the Company
The Edunet Foundation is known for its mission to empower students through high-quality education, digital learning resources, and employability programs. By partnering with major global organizations, the foundation aims to bridge the gap between academic learning and industry requirements.
IBM, through its IBM SkillsBuild platform, is committed to providing accessible learning opportunities in emerging technologies. Together, Edunet Foundation and IBM SkillsBuild have created a transformative learning experience focused on Artificial Intelligence, Machine Learning, and related technologies.
