Introduction
If you are a college student in India today, you have probably heard that AI & Machine Learning and Cloud skills are becoming more important than traditional marks. Recruiters now ask about projects, practical knowledge and tools — not just subjects studied in semester exams.
But the biggest problem students face is this:
They know AI is important, but they don’t know where to start learning it properly.
The Microsoft Elevate Emerging Tech Internship available through the AICTE Internship Portal is designed exactly for this gap. It is a structured virtual internship where students learn AI, Machine Learning, Azure cloud, development and automation through guided sessions and hands-on assignments.
This program is not a random recorded course. It is mentor-guided and project-based, which means you actually build something — not just watch videos.
The internship is suitable for beginners and intermediate learners who want practical exposure before placements or higher studies. In this guide, you will understand eligibility, application steps, selection process and whether this internship really helps your career.
Quick Overview
| Details | Information |
|---|---|
| Organization | Edunet Foundation (with Microsoft learning ecosystem) |
| Mode | Virtual |
| Duration | 6 Weeks |
| Stipend | Not Decided |
| Eligibility | Any stream students with interest in AI/ML |
| Last Date | 02 March 2026 |
| Certificate | Microsoft & AICTE Completion Certificate |
| Official Website | AICTE Internship Portal |
About the Program
This internship works differently from typical internships where companies give random tasks.
Instead, it follows a structured learning path:
You will gradually move from basics → tools → project.
What you actually do during the internship
Week 1 – Foundations
- Basics of Artificial Intelligence
- Machine Learning concepts
- Real industry use cases
- Understanding data and models
Week 2 – Hands-on Learning
- Working with datasets
- Model training basics
- Simple prediction systems
- Guided lab exercises
Week 3 – Microsoft Azure
- Cloud fundamentals
- Running AI models on cloud
- Understanding deployment
- Automation workflows
Week 4 – Development & Automation
- Application integration
- Automation tools
- Real business scenarios
Final Phase – Project
- Build a mini AI project
- Submit report
- Mentor evaluation
This structure helps students who don’t know how to start AI learning from zero.
You won’t become an AI expert in 6 weeks — but you will understand how AI projects actually work.
Eligibility Criteria
Education
Open for:
- Diploma students
- Undergraduate students
- Postgraduate students
- Freshers
No strict CGPA requirement mentioned, but active participation is required.
Branches Allowed
All branches can apply:
- Computer Science
- IT
- Electronics
- Mechanical
- Civil
- Commerce
- Science
- Arts
This internship is beginner-friendly, so non-coding students can also join.
Year / Semester
You can apply if you are:
- 1st year student
- 2nd year student
- 3rd year student
- Final year student
- Recently graduated
No minimum semester restriction.
Required Skills
Not mandatory, but helpful:
- Basic computer knowledge
- Internet usage comfort
- Interest in technology
- Basic logic understanding
Optional advantage:
- Python basics
- Excel basics
Important: Curiosity matters more than coding background
Who Should Apply / Who Should Avoid
You Should Apply If
- You want to enter IT/software field
- You don’t know where to start AI learning
- You want practical exposure before placements
- You want project for resume
- You are from non-CS branch but interested in tech
Avoid Applying If
- You only want stipend
- You won’t attend sessions
- You dislike assignments
- You expect job guarantee
- You already work as AI developer
This is a beginner-to-intermediate training internship, not a job placement program.
Selection Process
The selection is simple but still filtered.
Application Screening
Portal checks:
- Profile completeness
- College details
- Interest alignment
Because seats are large (5000), most genuine applicants get shortlisted.
Test / Interview
Usually no interview.
Sometimes orientation quiz may happen, but not elimination based.
Final Selection
You receive joining instructions if:
- Profile valid
- Slots available
- Applied before deadline
Selection is first-come-first-served in many cases.
Stipend, Benefits & Certificate Value
Stipend
No stipend is provided.
This internship focuses on learning and certification.
Benefits
Students gain:
- Structured AI learning path
- Cloud exposure
- Project experience
- Mentor guidance
- Industry workflow understanding
Certificate Value
You receive:
- Microsoft learning recognition
- AICTE internship certificate
This helps in:
- Resume screening
- Internshala/placement applications
- Showing technical interest
Important truth:
Certificate alone won’t get job — but project and learning will.
Important Dates
- Application deadline: 02 March 2026
- Start: Immediately after selection
- Duration: 6 Weeks
- Weekly assignments mandatory
- Final project submission required
Documents Required on AICTE Internship Portal: The Complete Guide to Registration and Upload
How to Add Qualifications on the AICTE Internship Portal: A Step-by-Step Guide
Step-by-Step Application Process
Step 1: Create AICTE Portal Account
Visit AICTE Internship Portal
Register using college email and details.
Step 2: Complete Profile
Fill carefully:
- Education
- Skills
- Interests
- Resume
Incomplete profiles often ignored.
Step 3: Search Internship
Search keywords:
Click apply.
Step 4: Wait for Approval & Join
You will receive:
- Email confirmation
- Joining instructions
- Session schedule
Attend orientation session first.
Common Rejection Reasons
Students usually lose opportunity because:
- Profile incomplete
- Wrong email entered
- Applied after deadline
- Didn’t verify account
- Ignored portal notifications
Many students apply but never check dashboard again.
Required Documents
Keep ready:
- Resume
- College ID
- Aadhaar or ID proof
- Recent photo
- Academic details
No physical submission needed.
FAQs
No, but basic logic understanding helps.
No direct placement.
Yes, designed for all branches.
Yes, mandatory.
You may fail completion criteria.
After project submission and attendance completion.
Yes.
Possible but workload may clash.
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