IBM SkillsBuild University Engagements Internship on AI and IBM Bob Nov - 2026

Round 1: Application submission → Round 2: Shortlisting by Edunet Foundation → Round 3: Technical interview or take‑home task → Round 4: HR interview and offer

Internship.aicte-india.org promotes a collaborative learning environment with a focus on skill development and mentorship. Interns enjoy flexible work hours, remote work options, and access to industry resources. The organization values continuous learning and provides ample opportunities for professional growth.

Internship.aicte-india.org typically conducts a two‑stage interview process: an initial screening call followed by a technical interview that may include a take‑home coding task or a live coding session. Candidates are expected to discuss their project experience, demonstrate knowledge of Python and AI concepts, and answer behavioral questions about teamwork and problem solving. Preparation tips include reviewing fundamentals of AI/ML, practicing coding problems, and familiarizing oneself with IBM Cloud services.

Pursuing a technical degree (B.E., B.Tech, BCA, MCA, or equivalent diploma) in Computer Science, Information Technology, Electronics, or allied disciplines. Must be in pre‑final or final year. Valid college domain email required for IBM Cloud registration. Basic knowledge of Python, AI/ML concepts, and cloud computing is essential. Applicants should have access to a PC or laptop with an operating system installed for hands‑on cloud projects.

IBM SkillsBuild University Engagements Internship on AI and IBM Bob Nov - 2026 is a 4‑month, fully remote internship offered by Edunet Foundation in partnership with IBM. The program is designed for students in their pre‑final or final year of a technical degree such as B.Tech, B.E., BCA, MCA, or equivalent diplomas in mechanical, civil, electronics, or allied disciplines. The internship focuses on emerging technologies like Artificial Intelligence (AI), Machine Learning (ML), cloud computing, IBM Bob, and IBM Granite. Participants will gain hands‑on experience through industry‑aligned projects, access to IBM’s cloud services, and mentorship from IBM professionals. Role Summary The intern will work on real‑world projects that involve building AI/ML models, deploying them on IBM Cloud, and integrating IBM Bob and IBM Granite services. The role requires a basic understanding of Python, AI/ML concepts, and cloud fundamentals. Interns will collaborate with peers on group projects, contribute to code repositories, and present their solutions to a panel of mentors. Key Responsibilities 1. Design and implement AI/ML models using Python and IBM Watson services. 2. Deploy models on IBM Cloud and manage cloud resources. 3. Integrate IBM Bob and IBM Granite APIs into application workflows. 4. Participate in code reviews and maintain clean, well‑documented code. 5. Collaborate with cross‑functional teams to gather requirements and deliver solutions. 6. Prepare technical documentation and user guides for deployed applications. 7. Attend virtual workshops and training sessions on IBM technologies. 8. Troubleshoot and resolve production issues in a cloud environment. 9. Contribute to knowledge sharing sessions within the cohort. 10. Provide feedback on the internship experience to improve future programs. Tech Stack - Programming Language: Python - AI/ML Frameworks: TensorFlow, PyTorch, IBM Watson - Cloud Platform: IBM Cloud - APIs: IBM Bob, IBM Granite - Tools: Git, Docker, Kubernetes Growth Path Successful interns can transition into full‑time roles within IBM or partner companies, receive industry‑certified badges, and gain access to advanced IBM training programs. The internship also opens doors to research collaborations and further specialization in AI and cloud technologies. Why Join? - Exposure to cutting‑edge IBM technologies. - Hands‑on projects with real‑world impact. - Mentorship from industry experts. - Networking opportunities with peers and IBM professionals. - Recognition through globally‑recognized badges and certificates. - Flexible, fully remote work environment. This internship is unpaid, but the experience and credentials gained can significantly boost employability in the competitive tech job market.