Join the network. You belong!
ACCEPTING APPLICATIONS
AI
Industrial Training
Externship
Complete a company-backed AI industrial project, submit your output, receive company assessment, and attend a Corporate Experience Day.
01
Career Discovery Report before training begins
02
Company-backed industrial project & assessment
03
6 intensive virtual externship days
04
1 In-Person Corporate Experience Day
ROLLING INTAKES
INTAKE A
Starts 06 July
CDR by 04 July
INTAKE B
Starts 09 July
CDR by 07 July
INTAKE C
Starts 13 July
CDR by 11 July
INTAKE D
Starts 16 July
CDR by 14 July
FINAL INTAKE E
Starts 20 July
CDR by 18 July
FINAL CUT-OFF
22 July
All intakes close
PROGRAMME OVERVIEW
Three pillars,
one industry-grade arc.
01
Discover Strengths
A structured Career Discovery Report identifies your aptitude and the role you'll play on the project team - before training begins.
02
Work on a Company Project
A company-provided brief, real constraints, and a written assessment from the partner at the end of the cycle.
03
Experience the Workplace
Close the cycle with the in-person Corporate Experience Day on 29 July — presentations, feedback, and a real workplace.
THE 7-DAY FLOW
From discovery to a day at the company.
PRE
PRE START
Career Discovery Report
Complete a structured assessment that maps your strengths and shapes the role you'll play on the project team.
01
DAY 1 - VIRTUAL
Orientation, Team Formation & Project Briefing
Meet your cohort, form squads, and receive the company-backed industrial brief.
02
DAY 2 - VIRTUAL
AI Literacy & Project Research
Meet your cohort, form squads, and receive the company-backed industrial brief.
03
DAY 3 - VIRTUAL
Prompting & Problem Framing
Step into your CDR-assigned role and contribute your slice of the project.
04
DAY 4 - VIRTUAL
Role-Based Project Contribution
Step into your CDR-assigned role and contribute your slice of the project.
05
DAY 5- VIRTUAL
Project Development Sprint
A focused build day — squads ship the bulk of the deliverable under realistic constraints.
06
DAY 6- VIRTUAL
Final Submission Lab
Refine, package, and submit your project output for company review.
07
DAY 7 IN-PERSON
Corporate Experience Day
On 29 July at the partner office — presentations, assessment feedback, and a day inside the company.
ELIGIBILITY
Eligibility
Criteria
To enroll for the Externship Programme, you must fulfil the Eligibility Criteria.
A
Minimum qualification : first year undergraduate students or above
The program is open to students who have completed or are currently enrolled in at least the five years of an undergraduate degree. Recent graduates, post graduate students and early professionals are also eligible to apply.
No prior AI or technical experience is required only a willingness to learn and actively participate.
B
Working laptop and stable Wi-fi connection
Participants must have access to a reliable laptop (Windows or macOS) and a stable internet connection throughout the programme. This is essential for attending live sessions, using AI and cloud-based tools, completing projects, and collaborating with mentors and template.
C
English Proficiency
Applicants should have written and spoken English proficiency. As the programme involves professional collaboration, AI tools, documentation, and collaboration, participants should be able to understand instructions, communicate effectively, and complete assignment in English language.
WHO SHOULD ATTEND
Built for people on the move.
STUDENTS
University Students
Build a portfolio piece and a real industry signal before graduation.
No coding background required.
GRADUATES
Graduates Seeking Work
Bridge the gap between your degree and the first professional role.
No coding background required.
EARLY TALENT
Early-Career Professionals
Reposition into AI-adjacent roles with a verifiable company-backed project.
No coding background required.
PARTICIPANT PACKS
Everything you need,
in three packs.
Materials arrive at the moments you need them - before, during, and after the externship.
01
Onboarding & Induction
Welcome guide, the Career Discovery Report, and role-fit playbook.
02
Project Packs
Company brief, dossier, AI prompting templates, and expectatioins.
Submission & Progression
03
Submission checklist, assessment rubric, certificate, and digital credentials.
OUTCOMES
What you walk
away with.
OUTCOME 01
Professional Project Output
OUTCOME 02
Career Application Material
Concrete exposure to industry - the kind a recruiter or hiring manager can verify.
OUTCOME 03
Company Assessment Signal
OUTCOME 04
Certificate of Completion
FAQ
Common questions.
What is an Externship?
An externship is a short, structured industry exposure experience. It helps students, graduates and early professionals understand real workplace tasks, work on guided projects, and build practical career ready skills without it being an internship or job placement.
No. Coding is not required. The externship is designed for students from both technical and non-technical backgrounds. You will use AI tools for research, prompting, project work, content development and presentation tasks, with guidance provided during the programme.
What does hybrid mean?
Hybrid means the programme includes virtual learning and project work, along with an in-person Corporate Experience Day.
What is Corporate Experience Day?
Corporate Experience Day is the final in-person experience where participants engage in a professional setting, reflect on project work, receive guidance or feedback, and understand how to position the experience for career use.
Bridging the gap between academia &
industry.
Rolling start dates available for AI Industrial Training Externship July 2026.
The Corporate Experience Day is on 29 July 2026. Final cut-off for the July cycle is 22 July.
FIRST START
06 July
CUT-OFF
22 July
CORPORATE EXPERIENCE DAY
29 July 2026
PROGRAMME FEE
₹12,999 plus GST