AI Mastery Program Internship
The AI Mastery Program Internship at Skilleze Technologies in Nagpur provides hands-on engineering work experience building, validating, and deploying machine learning models, exploratory data analytics, neural networks, and predictive API services. Interns work under senior engineering mentorship, participating in sprint reviews, git pull request code reviews, and shipping production-grade algorithms with verifiable GitHub code proof.
Eligibility & Technical Prerequisites
Demonstrated proficiency in Python, basic linear algebra/statistics, and familiarity with NumPy or Pandas. Direct entry requires passing a foundational coding challenge.
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:
Repository setup, code style standards, Git branch workflow, dataset inspection, and missing-value handling.
Feature engineering, baseline regression and classification model training using Scikit-Learn, and cross-validation.
Hyperparameter tuning, performance evaluation (F1, ROC-AUC), and packaging the model into a FastAPI endpoint.
Writing comprehensive README documentation, unit tests for endpoints, live project presentation, and exit evaluation.
Develop an automated predictive inference microservice that ingests tabular data, applies trained machine learning classification, and returns probability scores via a REST API.
- Cleaned dataset with exploratory data analysis notebook
- Serialized machine learning model with documented evaluation metrics
- FastAPI inference endpoint with Swagger documentation
- GitHub repository with comprehensive README and code review signoff
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 Mastery Program Internship
Select 1, 3, or 6 months. Live production projects, senior mentorship, and verifiable GitHub code proof.