INTERNSHIPAdmissions Open
Machine Learning Internship
Master Machine Learning algorithms and models. Build production-grade features, get your code reviewed by senior engineers, and earn a verifiable credential that bypasses resume filters.
Duration12 Weeks
LocationONLINE
LevelINTERMEDIATE
Scope & Impact
Workload
10-15 hours/week
Tasks
0
Final Project
Comprehensive Final Project
Tech Stack You Will Master
Python
TensorFlow
Scikit-Learn
Execution Roadmap
What You Receive
Detailed Project Evaluation
Verified Certificate of Completion
Comprehensive Skill Report
Letter of Recommendation
Hosted Portfolio Page
Lifetime Access to Resources
Machine Learning Internship Overview
The CodeInternX Machine Learning Internship is an intensive, project-based program designed to bridge the gap between theoretical data science and production-grade AI engineering. You will not just train models; you will deploy them.
What You Will Learn
- Data preprocessing, feature engineering, and exploratory data analysis (EDA).
- Building predictive models using Scikit-Learn, TensorFlow, and PyTorch.
- Deploying machine learning models as scalable REST APIs using FastAPI and Flask.
- Implementing MLOps best practices for model tracking and versioning.
Frequently Asked Questions
Do I need prior experience in AI?
Basic knowledge of Python is required. We will guide you through the machine learning algorithms and deployment strategies.
Are the projects based on real-world datasets?
Yes, you will work with real-world, messy datasets to simulate actual industry challenges.