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ARTIFICIAL INTELLIGENCE & MACHINE LEARNING TRACK

Remote AI & Machine Learning Internship for Students

Gain practical exposure to machine learning algorithms, Generative AI models, and NLP pipelines in a mentor-led 1-month remote sprint.

Track Duration

1 Month

4 structured project weeks + review.

Delivery Mode

100% Remote / Online

Work from anywhere with mentor feedback.

Tuition Fee

Free (₹0 Fee)

Free project sprint; optional ₹149 verified certificate.

Performance Track

Stipend Evaluation

Top performers evaluated for paid extension.

What You Will Build & Master

The Cognolynx AI & Machine Learning Internship is engineered for students passionate about deep learning, LLMs, computer vision, and intelligent agent systems. You will work on real datasets, implement predictive machine learning models, and integrate AI APIs into production applications.

Focus Specializations in this Track

Machine Learning Algorithms & Model TrainingDeep Learning with PyTorch & TensorFlowGenerative AI, Prompt Engineering & LLM IntegrationAI Chatbot & Retrieval-Augmented Generation (RAG)Natural Language Processing (NLP)Computer Vision & Image ProcessingAutonomous AI Agent Workflows

Tools & Technologies

PythonPyTorchTensorFlowScikit-LearnPandasNumPyHuggingFaceLangChainFastAPI

Hands-On Milestone Schedule

Structured week-by-week goals that guide you from environment configuration to fully working deliverables.

Week 01

Data Preprocessing & Exploratory Analysis

Working with NumPy, Pandas, feature engineering, data imputation, and statistical distribution analysis.

Week 02

Supervised & Unsupervised ML Models

Implementing classification, regression, clustering models with Scikit-Learn, and measuring model accuracy (F1-score, ROC-AUC).

Week 03

Deep Learning & Generative AI

Neural network basics, transformer architectures, LLM API orchestration, and vector embeddings for semantic retrieval.

Week 04

Model Serving & End-to-End Application

Building interactive web interfaces with Streamlit or FastAPI to demonstrate functional AI solutions with code review.

Eligibility Criteria for this Domain

B.E, B.Tech, MCA, or M.Sc/B.Sc Data Science/AI students with foundational Python programming and linear algebra/statistics basics.

Degree Programs

Open to B.E/B.Tech (CSE, IT, ECE, AI/DS), BCA, MCA, B.Sc Computer Science / IT, and polytechnic diploma students.

Prerequisites

Foundational interest in programming, basic logic, and willingness to learn with provided documentation and code reviews.

Hardware Requirements

A standard laptop or desktop computer with internet connectivity. No expensive hardware or paid software licenses required.

Track-Specific Questions

Apply for the Artificial Intelligence & Machine Learning Track

Gain authentic engineering project experience, build portfolio-grade code, and earn your verified certificate with Cognolynx.

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