Green Skill and Applied AI Virtual Learning Internship 2026

In today's rapidly evolving digital world, employers are seeking professionals who possess both technological expertise and sustainability awareness. To bridge this gap and prepare students for the future workforce, 1M1B (One Million for One Billion), in partnership with Microsoft and supported by AICTE, has launched the Green Skills and Applied AI Virtual Learning Internship 2026.

This exciting internship program offers students and graduates a unique opportunity to gain practical exposure to Artificial Intelligence, sustainability, and future-ready skills while learning from industry experts—all from the comfort of their homes.

With 5,000 remote openings available across India, this internship is one of the most accessible and impactful learning opportunities currently available for students from all academic backgrounds.

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The Green Skills and Applied AI Virtual Learning Internship is designed to equip learners with the knowledge and practical understanding required to address real-world sustainability challenges using Artificial Intelligence and digital technologies.

The program focuses on developing future-ready skills that align with global sustainability goals and emerging industry demands. Participants will engage in structured learning activities, project-based assignments, and practical applications of AI in environmental and social impact sectors.

This initiative reflects the growing importance of combining technology with sustainability to create innovative solutions for global challenges.

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Internship Partner Organizations

- 1M1B (One Million for One Billion)

- Microsoft

- AICTE (All India Council for Technical Education)

Particular| Details

Internship Name: Green Skills and Applied AI Virtual Learning Internship

Mode|:Fully Virtual / Remote

Duration: 12 Weeks

Number of Openings: 5,000

Eligibility: College Students, Graduates & Postgraduates

Stipend: Unpaid (Learning Internship)

Application Deadline| 15 June 2026

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One of the biggest advantages of this internship is its inclusive eligibility criteria.

- Undergraduate students

- Diploma students

- Engineering students

- Pharmacy students

- Arts, Commerce, and Science students

- Graduates from any discipline

- Postgraduate students

- Learners interested in AI and sustainability

No specific branch or specialization restrictions have been mentioned, making this opportunity accessible to students from diverse educational backgrounds.

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The internship aims to provide practical exposure to emerging technologies and sustainability-focused solutions. Participants can expect learning modules covering areas such as:

- Introduction to AI concepts

- Real-world applications of AI

- Responsible AI practices

- Sustainable development principles

- Climate-conscious innovation

- Environmental problem-solving approaches

- Practical assignments

- Industry-relevant case studies

- Portfolio-building activities

- Communication skills

- Team collaboration

- Digital literacy

- Problem-solving techniques

These skills are increasingly valued by employers across technology, healthcare, sustainability, business, and public sector organizations.

Participants who successfully complete the internship will receive a certificate supported by AICTE and Microsoft, adding credibility to their academic and professional profiles.

Students will gain practical exposure through projects and assignments that can be showcased in resumes, LinkedIn profiles, and future job applications.

Artificial Intelligence and sustainability are among the fastest-growing domains globally. Learning these skills can provide a competitive advantage in future career opportunities.

The internship is conducted entirely online, allowing students from any location to participate without relocation or travel expenses.

The experience gained through this internship can strengthen applications for:

- Higher studies

- Research programs

- Internships

- Campus placements

- Entry-level job opportunities

As industries worldwide transition toward sustainable practices, the demand for professionals who understand environmental responsibility and technology integration continues to rise.

- Apply technology to solve sustainability challenges

- Understand environmental impacts

- Use data-driven decision-making

- Contribute to responsible innovation

The Green Skills and Applied AI Internship helps participants develop these competencies while gaining valuable exposure to emerging technologies.

Interested candidates should submit their applications through the official AICTE National Internship Portal.

1. Visit the AICTE National Internship Portal.

2. Create or log in to your account.

3. Search for the "Green Skills and Applied AI Virtual Learning Internship."

4. Review the eligibility requirements.

5. Complete the application form.

6. Submit your application before the deadline.

Applicants should apply only through official and verified platforms and avoid unofficial links shared on social media.

Application Deadline

Candidates are encouraged to complete their applications as early as possible due to the high demand and limited number of available seats.

The Green Skills and Applied AI Virtual Learning Internship 2026 represents an excellent opportunity for students and graduates to gain practical exposure to two of the most important fields shaping the future—Artificial Intelligence and Sustainability.

With support from Microsoft, AICTE, and 1M1B, participants can access quality learning resources, build industry-relevant skills, earn recognized certification, and strengthen their professional profiles.

Whether you are an engineering student, pharmacy student, science graduate, or learner from any other discipline, this internship can serve as a valuable stepping stone toward a future-ready career.

If you're looking to enhance your skills, build your portfolio, and gain exposure to emerging technologies, don't miss this opportunity.

Apply before 15 June 2026 and take the first step toward becoming a future-ready professional.