HEProAI is an AI-first technology and product company focused on building intelligent, practical and scalable AI solutions for learning, talent, business and workforce transformation. By combining Machine Learning, Generative AI, Agentic AI, Data Intelligence and automation, HEProAI develops AI-powered products, platforms and experiential solutions that help individuals and organizations learn faster, make smarter decisions, automate workflows and build future-ready capabilities.

Key Responsibilities

· Complete AI/ML labs, assignments and practical projects

· Work with Python, data preprocessing, analysis and visualization

· Build, train, evaluate and improve Machine Learning models

· Work with supervised and unsupervised learning techniques

· Develop AI/ML solutions using real-world datasets

· Explore Generative AI, LLMs, Prompt Engineering and AI APIs

· Work with Git/GitHub and maintain technical documentation

· Participate in mentor reviews and technical discussions

· Troubleshoot model, data and implementation issues

· Complete and present a final AI/ML Capstone Project

Eligibility

Students and graduates from B.Tech, B.E., BCA, MCA, B.Sc., M.Sc., Diploma and related technology, engineering, mathematics, statistics or data disciplines may apply.

Candidates should have basic computer knowledge, logical thinking and a solid willingness to learn. Prior AI/ML experience is beneficial but not mandatory.

1. AI/ML Foundations Internship – 2 Months

Ideal for: Beginners with little or no prior AI/ML experience.

Key Areas

· Python Fundamentals for AI/ML

· Introduction to Artificial Intelligence & Machine Learning

· Data Collection & Data Preparation

· Data Cleaning & Preprocessing

· Exploratory Data Analysis

· Data Visualization





· Statistics & Probability Fundamentals

· Supervised Learning

· Unsupervised Learning

· Model Training & Evaluation

· Introduction to Generative AI

Project

Build a basic Machine Learning application using a real-world dataset, including data preparation, model development, evaluation and documentation.

Expected Outcome

Participants develop a strong foundation in AI/ML and Python and complete a portfolio-ready beginner project.

2. AI/ML Engineering Internship – 3/4 Months

Ideal for: Students or graduates with basic Python, mathematics or data knowledge who want to pursue AI/ML or Data Science careers.

Key Areas

Everything in the 2-month program, plus:

· Advanced Python for AI/ML

· Feature Engineering

· Regression & Classification

· Clustering & Dimensionality Reduction

· Model Selection & Hyperparameter Tuning

· Ensemble Learning

· Model Evaluation & Optimization

· Scikit-learn

· Introduction to Deep Learning

· Neural Networks

· NLP Fundamentals

· Git & GitHub

· AI/ML APIs

· Model Deployment Fundamentals

Expected Outcome

Participants develop practical AI/ML Engineering capabilities, complete multiple projects and build a stronger technical portfolio.

3. Advanced AI/ML, GenAI & Agentic AI Internship – 6 Months

Ideal for: Candidates seriously preparing for careers in AI/ML Engineering, Data Science, Generative AI or AI Product Development.

Key Areas





Includes the complete AI/ML Engineering pathway, plus:

· Advanced Machine Learning

· Deep Learning

· Neural Networks

· CNN & Computer Vision

· NLP & Transformers

· Large Language Models (LLMs)

· Generative AI

· Prompt Engineering

· Embeddings & Vector Databases

· Retrieval-Augmented Generation (RAG)

· AI APIs & Model Integration

· AI Agents & Agentic Workflows

· AI Automation

· Model Deployment

· AI Application Development

· AI Evaluation & Responsible AI

· MLOps Fundamentals

Projects

Participants complete multiple hands-on AI/ML projects followed by a comprehensive:

AI/ML, GenAI & Agentic AI Capstone Project

Example Projects

· AI-powered chatbot

· RAG-based knowledge assistant

· Predictive analytics application

· NLP-based recruitment/HR assistant

· Recommendation system

· AI-powered document analysis system

· Computer vision application

· Generative AI business application

· AI Agent for workflow automation

· End-to-end AI/ML product prototype

Expected Outcome

Participants build a substantial AI/ML + GenAI portfolio and gain practical exposure to modern AI technologies, tools and workflows.

Participants receive:

· Structured learning roadmap

· Hands-on AI/ML assignments

· Practical projects

· Real-world datasets and use cases

· Mentor guidance

· Technical reviews

· GitHub/project documentation

· Portfolio development

· Final assessment and presentation

· Certificate upon successful completion, subject to program requirements

This is an unpaid experiential learning internship focused on skill development, practical projects and portfolio building. It does not guarantee employment, placement or a job offer.

📌 AI/ML Internship Program 2 Months | 3/4 Months | 6 Months (India)
🏢 Human and Emotion Learning
📍 India