The IBM SkillsBuild Internship 2026 has opened a new virtual opportunity for students interested in Machine Learning and Applied AI. The current programme, offered by CSRBOX and listed on the AICTE Internship Portal, has 1,000 openings and combines IBM SkillsBuild learning with live masterclasses, mentoring and an AI-focused capstone project.
The Machine Learning and Applied AI Internship 2026 runs for six weeks, from 24 August to 30 September 2026. Students complete 60 hours of learning, including 15 hours of expert-led masterclasses, 15 hours of self-learning through IBM SkillsBuild and 30 hours of capstone project work.
Applications are open to eligible BE, BTech, BCA and MCA students, including students from Mechanical and Civil Engineering. The internship is virtual, carries six credits and is unpaid. Applications close on 22 August 2026.
Internship Highlights
| Internship Name | IBM SkillsBuild Machine Learning and Applied AI Internship 2026 |
|---|---|
| Offered By | CSRBOX |
| Listed On | AICTE Internship Portal |
| Mode | Virtual |
| Location | Pan India |
| Number of Openings | 1,000 |
| Duration | 6 weeks |
| Programme Dates | 24 August to 30 September 2026 |
| Total Learning Hours | 60 hours |
| Credits | 6 |
| Stipend | Unpaid |
| Learning Format | Live masterclasses, IBM SkillsBuild self-learning, mentoring and capstone project |
| Certificate | Certificate of Completion after successfully completing programme requirements |
| Application Deadline | 22 August 2026 |
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What is the IBM SkillsBuild Internship 2026?
The current IBM SkillsBuild Internship 2026 listed on the AICTE Internship Portal focuses on Machine Learning and Applied AI. It is offered by CSRBOX and combines IBM SkillsBuild self-learning with expert-led masterclasses, mentoring and project work.
This is a project-based virtual programme rather than a conventional IBM corporate internship. Participants spend 60 hours learning and applying AI concepts, with half of the programme allocated to a capstone project where they build an AI-powered application.
Who Can Apply?
The internship is open to students from all years pursuing BE, BTech, BCA or MCA in Computer Science, Information Technology, Electronics and allied disciplines. The official terms also state that Mechanical and Civil Engineering students are eligible.
| Requirement | Current Eligibility |
|---|---|
| Courses | BE, BTech, BCA and MCA |
| Year of Study | All years can apply |
| Core Disciplines | Computer Science, Information Technology, Electronics and allied disciplines |
| Other Eligible Branches | Mechanical and Civil Engineering |
| Availability | Must be available for the full 6-week internship |
| Technical Preparation | Basic knowledge of Python and AI or Machine Learning is recommended |
| Equipment | PC or laptop with internet connectivity is required for hands-on projects |
Python or AI/ML expertise is not listed as a mandatory eligibility condition. The programme recommends basic knowledge of Python and AI or Machine Learning, so students with foundational knowledge can still apply. Attendance at all mentor-led sessions is mandatory once selected.
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Is the IBM SkillsBuild Internship Paid?
No. The IBM SkillsBuild Machine Learning and Applied AI Internship 2026 is unpaid. The current AICTE listing does not mention a stipend or monetary payment. Participants who meet the programme requirements receive 6 credits and a Certificate of Completion.
Programme Structure
The IBM SkillsBuild Machine Learning and Applied AI Internship requires 60 hours of participation across three components. Half of the programme is reserved for the capstone project, while the remaining time is split between expert-led sessions and self-paced IBM SkillsBuild learning.
| Component | Duration | What It Covers |
|---|---|---|
| Expert-led Masterclasses | 15 hours | Foundational and applied AI concepts, tools and workflows |
| IBM SkillsBuild Self-Learning | 15 hours | Curated courses and assignments for conceptual and practical learning |
| Capstone Project | 30 hours | Designing and building an AI-powered application using concepts learned during the internship |
The programme includes five live masterclasses led by AI experts and two mentoring sessions. Attendance at all mentor-led sessions is mandatory.
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What You Will Learn
The internship focuses on applying Artificial Intelligence rather than only studying theory. Students are introduced to AI tools, application design workflows and practical problem-solving through masterclasses, IBM SkillsBuild modules and guided project work.
- Foundational and applied AI concepts
- AI tools and workflows
- Designing and prototyping AI-powered applications
- Using IBM SkillsBuild courseware and software
- Applying AI concepts to a practical project
Capstone Project
The capstone is the largest part of the internship, accounting for 30 of the total 60 hours. Students use the concepts covered during the programme to design and build an AI-powered application through guided project work.
The official listing does not prescribe one fixed project topic. This gives participants scope to apply the programme concepts to an AI application developed during the capstone rather than completing only course-based assessments.
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IBM SkillsBuild Internship Benefits and Certificate
Students who successfully complete all programme requirements receive a Certificate of Completion. The internship also carries 6 credits.
The programme also provides access to IBM industry courseware and software. The internship listing mentions globally recognised IBM badges and certificates among its perks, but does not state that every badge is automatically awarded with internship completion.
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Important Dates
| Event | Date |
|---|---|
| Internship listing date | 29 July 2026 |
| Application deadline | 22 August 2026 |
| Internship starts | 24 August 2026 |
| Internship ends | 30 September 2026 |
The AICTE listing also displays the start date as “Immediately”, while the Terms of Engagement give the specific internship period as 24 August to 30 September 2026. For programme planning, applicants should follow the specific dates stated in the Terms of Engagement.
IBM SkillsBuild Internship vs IBM SkillsBuild Platform
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The Machine Learning and Applied AI Internship 2026 covered above is a specific six-week programme offered by CSRBOX and listed on the AICTE Internship Portal.
IBM SkillsBuild itself is a broader learning platform with free courses, learning pathways, events, projects and digital credentials for different learner groups.
| Option | What It Offers | Where to Access |
|---|---|---|
| IBM SkillsBuild Machine Learning and Applied AI Internship 2026 | 6-week virtual internship with masterclasses, mentoring, IBM SkillsBuild learning and a capstone project | AICTE Internship Portal |
| IBM SkillsBuild Platform | Free learning courses, projects, events and eligible digital credentials | IBM SkillsBuild |
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How to Apply for IBM SkillsBuild Internship 2026
There are two ways to access the opportunities covered in this article. The current Machine Learning and Applied AI Internship 2026 requires an application through the AICTE Internship Portal, while IBM SkillsBuild courses and other learning opportunities are accessed through the IBM SkillsBuild platform.
For the AICTE Machine Learning and Applied AI Internship 2026
- Open the IBM SkillsBuild Machine Learning and Applied AI Internship listing on the AICTE Internship Portal.
- Sign in to your AICTE Internship Portal account. New users will need to register first.
- Review the internship details and eligibility requirements.
- Click the application option available on the internship listing.
- Complete the required information and review your details before submission.
- Submit the application before 22 August 2026.
The AICTE-listed internship runs from 24 August to 30 September 2026. Applicants should be available for the full six-week programme and have access to a PC or laptop with internet connectivity. Attendance at mentor-led sessions is mandatory for selected participants.
For IBM SkillsBuild Courses and Learning Opportunities
- Visit the official IBM SkillsBuild platform.
- Choose the relevant learner category and explore the available learning catalog.
- Browse courses and learning opportunities based on your interests.
- Open the selected course or programme and check its learning format, requirements and available credential.
- Sign up or log in to IBM SkillsBuild to access eligible learning.
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IBM SkillsBuild Courses and Learning Opportunities
Beyond the current AICTE-listed internship, learners can use the IBM SkillsBuild learning catalog to explore free online learning in technology and career-focused areas. IBM provides separate learning experiences for university students, high school learners and adult learners.
For university students, IBM SkillsBuild combines flexible online learning with applied activities designed to build skills for in-demand roles. Depending on the course or pathway, learners can also work on portfolio-ready projects and earn eligible IBM digital credentials.
| Learning Area | What Learners Can Explore |
|---|---|
| Artificial Intelligence | AI fundamentals, generative AI and related applied learning |
| Data and Analytics | Data-focused skills and analytics learning |
| Cybersecurity | Cybersecurity concepts and related digital skills |
| IT and Cloud | IT fundamentals and cloud-related learning |
| Software Development | Programming and software development skills |
| Career Skills | Professional and career-readiness learning |
Course availability and credentials vary by learning pathway, so learners should check the individual course page before enrolling.
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IBM SkillsBuild Certificates and Digital Credentials
IBM SkillsBuild offers industry-recognized digital credentials through eligible learning experiences. University students can use these credentials, along with portfolio-ready projects, to demonstrate skills developed through the platform.
Not every IBM SkillsBuild course or activity provides the same credential. Learners should check the individual learning pathway to see whether a digital credential is available and what completion requirements apply.
This is separate from the Certificate of Completion for the AICTE-listed Machine Learning and Applied AI Internship 2026, which is awarded after successfully completing the programme requirements.
Are IBM SkillsBuild certificates recognised?
IBM SkillsBuild offers digital credentials for eligible learning experiences. These credentials provide a way for learners to demonstrate completion of specific learning and the skills associated with that credential. They can be added to professional profiles, resumes and portfolios where relevant.
Where can learners showcase IBM digital badges?
- LinkedIn profiles
- Resumes and CVs
- Personal portfolios
- Internship applications
- Job applications and professional networking platforms
| Microsoft Software Engineering Internship | Google Data Analytics Internship |
| How to Get a Cognizant Internship | Deloitte Data Science Internship |
FAQs
The IBM SkillsBuild Virtual Internship 2026 consists of online learning pathways, AI challenges, workshops, and career development programmes offered through the IBM SkillsBuild platform and AICTE internship portal. It helps learners build technical and workplace skills through flexible virtual learning experiences.
IBM SkillsBuild provides free learning opportunities for different learner groups, including university students. Learners can explore the available catalog and check individual courses or learning pathways for their requirements and credential details.
The Machine Learning and Applied AI Internship 2026 covered here is offered by CSRBOX and listed on the AICTE Internship Portal. IBM SkillsBuild provides the learning component and access to relevant IBM courseware and software. It is different from a conventional corporate internship directly offered by IBM.
Yes. The current internship terms cover BE, BTech, BCA and MCA students and specifically include Mechanical and Civil Engineering students alongside Computer Science, Information Technology, Electronics and allied disciplines.
The current Machine Learning and Applied AI internship recommends basic knowledge of Python and AI or Machine Learning. Advanced Python or AI/ML expertise is not stated as a mandatory eligibility requirement.
IBM SkillsBuild offers learning across areas such as Artificial Intelligence, Data and Analytics, Cybersecurity, IT and Cloud, Software Development and career skills. Course availability varies across the learning catalog and learner categories.
Yes. Students and early-career learners can use IBM SkillsBuild to develop technology and workplace skills through relevant courses and learning experiences. Eligibility or prerequisites, where applicable, depend on the individual course or programme.
IBM SkillsBuild offers digital credentials through eligible learning experiences, but not every course or activity provides the same credential. Learners should check the individual course or pathway for its completion and credential requirements.
Yes. The AICTE-listed Machine Learning and Applied AI Internship is one specific programme. Learners can separately access IBM SkillsBuild courses and other learning opportunities through the IBM SkillsBuild platform without joining that internship.
For IBM SkillsBuild courses and learning experiences, learners can check the IBM SkillsBuild learning catalog. For AICTE-listed internship opportunities, students should check the AICTE Internship Portal. Availability, eligibility and application dates can vary by programme.
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