AICTE, in collaboration with SKYPARK ITECH, has opened applications for its full-time internship program focused on Python programming with Artificial Intelligence and Machine Learning.
The internship is set to begin immediately and will run for three months. Designed for students and early-career professionals, the program offers practical experience with real-world projects.
Participants will work on coding tasks involving AI and ML, building job-ready skills for fields such as data science, analytics, and software development.
Stipend
The internship includes a monthly stipend of ₹5000 and carries 2 academic credits. A total of 15 positions are available, and the last date to apply is September 30, 2025.
The company stated that this is a self-paced, online program running between 4 to 8 weeks, depending on task submissions. Interns are required to complete all assigned projects to qualify for the final certificate.
Program Highlights
- Project certificate upon completion
- GitHub portfolio support
- Recommendation letters for top performers
- Flexible learning hours
- Mentor support via WhatsApp or Email
- Lifetime access to video content and study material
- Resume and LinkedIn review tips
- Community support and career basics
The opportunity is open to candidates from any educational background or specialization. Applicants must be available for the full 3-month period and should have basic knowledge or interest in AI, ML, and Python programming.
SKYPARK ITECH emphasized the importance of completing assigned tasks to gain full benefits from the internship. No additional stipend or allowances will be provided beyond the ₹5000 monthly amount.
Interested candidates can submit their applications on the AICTE Internship portal before the September 30 deadline.
Final Words
The Python with AI and ML Internship by SKYPARK ITECH offers hands-on training for students and early professionals looking to build careers in tech.
With real projects, flexible schedules, and expert guidance, it helps bridge classroom learning with job-ready skills.
From building a GitHub portfolio to earning a project certificate, this program gives practical tools to stand out in fields like data science, AI, and analytics.
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