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NXTGEN Internships Program
Industry-Ready Internships (In-Office & Online)

Launch your career with hands-on, accredited internships in Artificial Intelligence & Machine Learning and Full-Stack Web Development — available both in-office and online. Internships designed and delivered in alignment with the New Education Policy (NEP) and AICTE guidelines.
Real projects, Faculty & industry mentors, NEP- & AICTE-aligned curriculum, Certificates & placement support

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Why choose NXTGEN’s internships?
  • Dual delivery: Flexible options — join us on campus (in-office) or fully remote with the same mentorship, tools and assessment.
  • Regulation-friendly: Programs designed to satisfy NEP objectives for experiential learning and structured to meet AICTE internship recommendations.
  • Industry projects: Work on real business problems, not just toy exercises — build portfolio pieces recruiters notice.
  • Mentors from industry & academia: Weekly mentor sessions, code reviews, and career clinics.
  • Certification & transcripts: End-of-internship certificate, competency transcript, and project showcase for your placement portfolio.
  • Stipend & credits (where applicable): Options for stipends and academic credit mapping for partner colleges.
Internship tracks

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Artificial Intelligence & Machine Learning (AI / ML)

Artificial Intelligence & Machine Learning (AI / ML)

Duration options: 6 weeks to 6 months (Customizable)
Format: Project-led, includes lectures, labs, and mentoring

  Core focus areas:
  • Python for data science, NumPy, Pandas
  • Exploratory Data Analysis & visualization
  • Supervised learning (regression, classification)
  • Unsupervised learning (clustering, dimensionality reduction)
  • Deep learning fundamentals: CNNs, RNNs, Transformers (intro)
  • Model evaluation, hyperparameter tuning, and deployment basics
  • Responsible AI: fairness, transparency, privacy, and ethics
    Sample projects: Image classification pipeline, customer churn predictor, text sentiment analyzer, simple recommender system.
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How the program works
  • Apply & select track — choose AI/ML or Full-Stack and preferred mode (in-office / online).
  • Onboarding & prework — short bootcamp to level technical skills (2–7 days).
  • Project assignment — individual or small team, supervised by a mentor.
  • Weekly sprints & reviews — demo days, code reviews and mentor feedback.
  • Evaluation & certification — project evaluation, technical assessment, and final certificate/transcript.
Who should apply?
  • College students (UG / PG) from engineering, computer science, IT, mathematics, statistics or allied disciplines.
  • Students who want internship credits under NEP-aligned experiential learning.
  • Beginners with foundational programming knowledge or intermediate learners aiming to build industry experience.
  Eligibility (typical):
  • Enrolled in a recognized college/university.
  • Basic programming knowledge (for Full-Stack) or Python & math basics (for AI/ML).
  • Portfolio or academic transcripts when available.

Assessments, credit & certification

  • Continuous evaluation: Weekly deliverables + mentor feedback.
  • Final assessment: Project demo, code review, and a short technical viva.
  • Certification: NEP-aligned competency certificate with detailed transcript listing skills demonstrated (suitable for college credit mapping).
  • Placements support: Interview prep, resume reviews, and project showcase sessions for participating students.

In-office vs Online — same quality, different experience

  • In-office perks: Access to lab equipment, face-to-face mentorship, team-based sprints, networking events.
  • Online perks: Flexible schedule, recorded lectures, cloud VM access, remote mentor Office-hours, and virtual team collaboration tools.

Mentorship & student support

  • Assigned industry mentor + academic advisor.
  • Weekly 1:1 coaching sessions, live Q&A, and office hours.
  • Slack / Teams channel for real-time support.
  • Career workshops: resume, LinkedIn, mock interviews.

Apply for Internship

  Typical timeline & workload

  • 6-week: Intensive — ~20–25 hours/week (suitable for summer internships).
  • 8-week: ~20–25 hours/week (suitable for summer internships).
  • 12-week:~10–15 hours/week, more time for mid-size projects.
  • 6-months: Advanced learning — ~10–12 hours/week, more time for complex projects.

  Fees & stipend

  • Fees: Competitive and tiered by duration and delivery mode (scholarships available).
  • Stipends: Offered for selected on-site projects and merit-based performers (subject to role & project sponsor).

Exact fee & stipend details are provided during application / partnership discussions.

  Partnerships & compliance

  • Internship structure and assessment are crafted to align with the New Education Policy’s emphasis on experiential learning and multidisciplinary exposure.
  • Program documentation, learning outcomes, and certificates can be mapped to AICTE internship guidelines for colleges seeking academic credit transfer.