AICTE AI & ML Intern 2026 | Apply Online

The AICTE AI ML Internship 2026 is an excellent opportunity for students and fresh graduates who want to build a career in Artificial Intelligence (AI), Machine Learning (ML), Data Science, Deep Learning, Python Programming, and Predictive Analytics. Offered through the AICTE National Internship Portal, this 8-week virtual internship provides practical exposure to AI model development, real-world datasets, and industry-standard tools under expert mentorship. Successful participants receive an Industry-Recognized Internship Certificate, helping them strengthen their technical profile.


📋 Internship Overview

Particular Details
Internship Name AI & ML Intern 2026
Organization Mallikarjuna Infosys
Platform AICTE National Internship Portal
Internship Type Virtual Internship
Mode Remote
Duration 8 Weeks
Start Date Immediate
Stipend ₹0 (Certificate-Based Internship)
Certificate Industry-Recognized Internship Certificate
Credits 4
Eligibility Students & Freshers
Location Pan India
Application Mode Online

🏢 About the Internship

The AICTE AI & ML Internship 2026 is designed to provide hands-on experience in artificial intelligence and machine learning. Interns will work on real-world AI projects involving data preprocessing, machine learning model development, predictive analytics, Natural Language Processing (NLP), AI automation, model evaluation, and deployment using industry-standard tools such as Python, TensorFlow, Scikit-learn, Pandas, and NumPy.


📚 What You’ll Learn

  • Artificial Intelligence Fundamentals
  • Machine Learning Algorithms
  • Python Programming
  • Data Analysis
  • Data Preprocessing
  • Deep Learning Basics
  • TensorFlow
  • Scikit-learn
  • Pandas & NumPy
  • Predictive Analytics
  • Natural Language Processing (NLP)
  • Model Training & Evaluation
  • AI Model Deployment

💼 Key Responsibilities

Selected interns will:

  • Develop AI and ML models.
  • Analyze and preprocess datasets.
  • Build predictive analytics solutions.
  • Train and evaluate machine learning models.
  • Work with TensorFlow and Scikit-learn.
  • Perform data visualization and analysis.
  • Participate in AI automation projects.
  • Complete mentor-guided assignments.
  • Prepare technical documentation.
  • Submit a final AI/ML project.

🎓 Eligibility Criteria

Applicants should:

  • Be pursuing or have completed B.Tech, B.E., BCA, MCA, B.Sc, M.Sc, Diploma, or equivalent.
  • Have an interest in AI, Machine Learning, or Data Science.
  • Possess basic programming knowledge.
  • Be available for the complete internship duration.

Students and freshers from all eligible disciplines are encouraged to apply.


💻 Required Skills

Technical Skills

  • Python
  • Machine Learning
  • Artificial Intelligence
  • TensorFlow
  • Scikit-learn
  • Pandas
  • NumPy
  • Data Analysis
  • Statistics
  • SQL (Basic)
  • Data Visualization

Soft Skills

  • Communication
  • Analytical Thinking
  • Problem Solving
  • Teamwork
  • Critical Thinking
  • Time Management

💰 Stipend

  • ₹0 per month (Certificate-Based Internship)
  • Industry-Recognized Certificate
  • Hands-on AI Project Experience

🎁 Benefits

  • AICTE Internship Certificate
  • Industry Mentor Support
  • Live AI & ML Projects
  • Python Programming Experience
  • TensorFlow & Scikit-learn Exposure
  • Resume Enhancement
  • Portfolio Development
  • Flexible Remote Internship
  • Career Guidance
  • Practical AI Development Experience

📝 Selection Process

  1. Online Registration
  2. Application Screening
  3. Shortlisting
  4. Internship Enrollment
  5. Project Assignment
  6. Performance Evaluation
  7. Certificate Issuance

📍 Internship Location

Virtual / Remote (Pan India)


🌟 Career Opportunities

After completing this internship, candidates can explore roles such as:

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Data Analyst
  • AI Developer
  • Python Developer
  • NLP Engineer
  • Business Intelligence Analyst
  • Research Associate (AI)
  • Software Engineer (AI/ML)

📄 Required Documents

  • Updated Resume
  • Passport-size Photograph
  • College ID Card
  • Academic Certificates
  • Government ID Proof (if required)

📌 How to Apply

  1. Visit the AICTE National Internship Portal.
  2. Register or log in.
  3. Search for AI & ML Intern 2026.
  4. Open the internship details page.
  5. Fill out the online application form.
  6. Upload the required documents.
  7. Submit the application before the closing date.

📢 Final Thoughts

The AICTE AI & ML Intern 2026 is an excellent opportunity for students interested in Artificial Intelligence and Machine Learning. Through live projects, industry mentorship, and hands-on experience with Python, TensorFlow, Scikit-learn, and real-world datasets, participants can build practical skills that are highly valued in today’s technology industry. The internship certificate and project experience can significantly strengthen a candidate’s resume.


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About Company

Mallikarjuna Infosys provides industry-oriented internship programs through the AICTE National Internship Portal, offering practical training in Artificial Intelligence, Machine Learning, Data Science, and software development. The organization focuses on project-based learning, mentorship, and helping students develop industry-ready technical skills.

AICTE AI ML Internship 2026
About the Author: –

Founder, AlexaHire | Career & Internship Researcher

Sonu Rajput is the founder of AlexaHire, a career-focused platform helping students and freshers discover verified internships, job openings, and skill-building opportunities across India.

With a strong interest in employment trends, virtual internships, fresher jobs, and skill development, Sonu researches and publishes practical content that bridges the gap between academic learning and real-world industry requirements.

His work focuses on:

  • Internship opportunities (virtual & on-site)

  • Fresher-friendly job openings

  • Career guidance for students

  • Resume and skill development insights

Sonu believes in sharing clear, updated, and trustworthy information to help learners make informed career decisions.

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