Digital Marketing Using AI Internship
The Digital Marketing Using AI Internship at Skilleze Technologies in Nagpur offers cutting-edge growth marketing work experience leveraging modern artificial intelligence tools. Interns execute AI-accelerated market research, automated multi-platform content calendars, on-page and technical SEO strategies, paid ad creative generation, and conversion analytics dashboards under senior mentor guidance.
Eligibility & Technical Prerequisites
Basic understanding of social media platforms, communication skills, and eagerness to apply generative AI to marketing workflows.
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:
Audience segmentation, buyer personas, competitor research, and campaign brief generation.
30-day multi-channel calendars, social media captions, email newsletter copy, and hooks.
Search intent analysis, on-page SEO optimization, meta descriptions, and Google Business Profile.
Paid ad copy variants, visual concept drafting, KPI dashboard setup, and project defense.
Build an end-to-end 30-day AI-assisted marketing launch campaign for a Nagpur-based tech enterprise: target personas, content calendar, SEO strategy, and performance metrics.
- Buyer persona document with pain points and AI messaging angles
- 30-day multi-platform social media and email content calendar with copy
- Targeted keyword research matrix with on-page SEO recommendations
- Suite of 10+ paid ad copy variants and performance tracking dashboard
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 Digital Marketing Using AI Internship
Select 1, 3, or 6 months. Live production projects, senior mentorship, and verifiable GitHub code proof.