AI for Business Internship
The AI for Business Internship at Skilleze Technologies in Nagpur offers immersive work experience implementing artificial intelligence across commercial operations, marketing pipelines, sales outreach, customer assistance, and executive decision-making. Interns collaborate on live business process audits, building custom automation workflows, and deploying internal knowledge assistants under senior mentor guidance.
Eligibility & Technical Prerequisites
Familiarity with business operations, standard spreadsheet tools (Excel/Google Sheets), and basic AI prompt usage. No advanced coding background required.
Select Internship Duration
Choose your internship duration pathway to inspect the corresponding technical learning plan, project brief, and deliverables. Course duration remains independent.
1-Month Fast-Track Internship
4-Week Structured Learning Plan:
Workspace configuration, security policy orientation, mapping business friction points, and baseline prompt templates.
Prompt architecture for executive briefings, competitive research, and automated spreadsheet summary formulas.
Building visual automated workflows connecting forms, email triggers, and CRM lead capture using Make.com.
Operational performance review, documenting ROI metrics, presenting the automated prototype, and evaluation.
Conduct an operational efficiency audit of a business unit and build an automated lead qualification and follow-up workflow connecting intake forms to CRM with AI summarization.
- Operational process map with identified AI automation opportunities
- Production prompt library for research, customer emails, and reporting
- Automated intake-to-CRM workflow with error notifications
- Executive presentation slide deck demonstrating time savings and ROI
Internship Assessment Framework (100% Total)
Objective grading weights configured for all industrial work experience tracks.
Structured video module completion, lesson checkpoints, and technical knowledge checks.
Hands-on weekly coding exercises, lab submissions, and peer code reviews.
Core production feature delivery, git commits, code architecture, and live deployment.
System architecture diagrams, repository READMEs, API specs, and live project walkthrough.
Comprehensive exit interview with senior engineering lead and technical defense.
Mentorship & Code Review Process
Interns submit pull requests through GitHub and receive detailed code comments from senior engineers within 48 hours. Weekly architecture syncs review code cleanliness, security, and optimization.
Documentation & Final Presentation
Every track requires a comprehensive README, system architecture diagram, and final technical viva defense before an official verifiable Experience Certificate and college NOC credit documents are released.
Apply for the AI for Business Internship
Select 1, 3, or 6 months. Live production projects, senior mentorship, and verifiable GitHub code proof.