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Design Thinking with Artificial Intelligence Internship (6 Weeks) at Ibm — 2026

Company
Company IBM
Type
Opportunity Type Internship
Salary
Stipend / Salary ₹0 per month (unpaid)
Location
Location Pan India
Posted Date
Posted Date Today
Design Thinking Artificial Intelligence fundamentals User Research Problem Solving No‑code/Low‑code prototyping Critical Thinking Communication Presentation Collaboration Creativity
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Aptitude Practice Questions Open Resource ↗
Helps you sharpen quantitative and logical reasoning skills essential for screening tests and case studies.
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Company Interview Preparation Guide Open Resource ↗
Provides insights into typical interview formats and common questions asked by organisations offering virtual internships.
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Comprehensive Interview Prep Resources Open Resource ↗
Offers curated notes, mock interview tips, and resume building advice to improve your chances during the selection rounds.
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Algorithm and Data Structure Problem Set Open Resource ↗
Even for non‑technical roles, solving these problems enhances analytical thinking useful for AI‑related case studies.

• Valid Gmail account for SkillsBuild registration. • Currently pursuing a non‑technical degree such as BA, BCom, BBA, MBA, Diploma, BSc, etc. • Must be from any batch but available for the full 6‑week duration. • Access to a computer or laptop with stable internet connection. • Preferred OS: Windows or Linux. • Updated browser (Google Chrome or Firefox) recommended. • No minimum percentage or backlog restrictions mentioned.

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Round 1: Application screening based on eligibility and profile
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Round 2: Virtual assessment / short project pitch or case study
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Round 3: Mentor interview / HR discussion focusing on motivation and learning goals
Edunet Foundation, in partnership with IBM SkillsBuild, brings a unique virtual internship designed exclusively for non‑technical students across India. The program, titled "Design Thinking with Artificial Intelligence for Non‑Technical Students," runs for six weeks starting immediately and offers a hands‑on, project‑based learning experience. Edunet Foundation is a social enterprise focused on bridging the skill gap for fresh graduates and under‑represented learners, while IBM SkillsBuild provides a global platform for digital upskilling. Together they aim to democratise access to cutting‑edge AI concepts and human‑centred design methodologies. The role is a virtual internship where participants will dive deep into the complete Design Thinking process – from empathising with users and defining problems to ideating, prototyping, and testing AI‑enhanced solutions. Learners will work on real‑world problem statements, conduct user research, generate innovative ideas, and build functional prototypes using no‑code/low‑code tools. Throughout the program, industry mentors and experienced facilitators will guide interns, providing feedback, master‑class sessions, and resources to sharpen critical thinking, creativity, and communication skills. Key responsibilities include: 1. Conducting user interviews and gathering insights to understand real‑world challenges. 2. Defining problem statements using empathy maps and journey maps. 3. Ideating multiple solution concepts through brainstorming and sketching. 4. Developing AI‑powered prototypes using no‑code platforms such as Bubble, Thunkable, or Microsoft Power Apps. 5. Validating prototypes by testing with target users and iterating based on feedback. 6. Documenting the design process and preparing a final project report. 7. Presenting the solution to a panel of mentors and peers in a virtual demo day. 8. Collaborating with fellow interns in cross‑functional teams to foster peer learning. 9. Maintaining a personal learning journal to reflect on design thinking and AI concepts. 10. Completing all mandatory assessments and quizzes on the SkillsBuild portal. Tech stack: AI fundamentals (machine learning basics, natural language processing), no‑code/low‑code development tools, design thinking frameworks (Empathy, Define, Ideate, Prototype, Test), collaboration tools (Google Meet, Slack, Miro), and basic data visualisation tools. Growth path: On successful completion, interns receive a certificate from Edunet Foundation and a digital credential from IBM SkillsBuild, both of which can be added to LinkedIn and resumes. The experience equips participants with a portfolio piece that showcases their ability to blend design thinking with AI, opening doors to roles such as AI‑enabled product designer, innovation analyst, or junior consultant in tech‑enabled firms. Why join? This internship offers a rare blend of creativity and technology without requiring a technical background. Participants gain mentorship from industry experts, work on tangible projects, and earn credentials that enhance employability in the fast‑growing AI and innovation space.

IBM — Software Engineering & Full Stack Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

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COMPANY GUIDE 🎯
IBM Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for IBM and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Design Thinking, Artificial Intelligence fundamentals, User Research, Problem Solving, No‑code/Low‑code prototyping, Critical Thinking, Communication, Presentation, Collaboration, Creativity) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
IBM Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Explain OOP (Object-Oriented Programming) principles with real-world examples in Design Thinking. Answer ▼
Model Answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer ▼
Model Answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer ▼
Model Answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer ▼
Model Answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer ▼
Model Answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Why do you want to join IBM as a Design Thinking with Artificial Intelligence Internship (6 Weeks) at Ibm — 2026?
Preparation Tip: Highlight IBM's market reputation, recent tech innovations, and how your skills in Design Thinking directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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