Machine-Learning Advanced Premium

Machine Learning Engineering Virtual Internship

This comprehensive virtual internship track will equip you with the essential skills and hands-on experience to excel as a Machine Learning Engineer. You'll dive deep into advanced machine learning techniques, build end-to-end ML pipelines, and apply your knowledge to real-world industry problems. By the end of this track, you'll be prepared to take on challenging roles in the dynamic field of machine learning.

weeks

15 tasks

0 enrolled

Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Implement a Recommendation System for Netflix

Medium

Create a professional recommendation system similar to what Netflix uses to suggest personalized content to users.

16 hours

Develop a Spam Detection System for Gmail

Medium

Create a professional spam detection system similar to what Google uses to identify and filter out spam emails in Gmail.

12 hours

Develop a Product Recommendation System for Amazon

Medium

Create a professional product recommendation system similar to what Amazon uses to suggest relevant products to customers.

14 hours

Personalized Movie Recommendation System

Medium

Create a professional movie recommendation system similar to what Netflix uses to provide personalized suggestions to users.

20 hours

Automated Spam Detection for E-commerce

Medium

Develop a machine learning model to automatically detect and filter spam messages on an e-commerce platform, similar to systems used by Amazon.

16 hours

Predictive Maintenance for Industrial Equipment

Medium

Develop a machine learning model to predict equipment failures and enable proactive maintenance, similar to systems used by companies like Google and Amazon.

24 hours

Build a Scalable ML Pipeline for Personalized Movie Recommendations

Medium

Create a professional end-to-end machine learning pipeline for personalized movie recommendations, similar to the system used by Netflix.

20 hours

Develop a Scalable ML Pipeline for Predicting Customer Churn

Medium

Create a production-ready machine learning pipeline to predict customer churn, similar to the system used by companies like Telco or Retail.

18 hours

Build a Scalable ML Pipeline for Product Recommendation

Medium

Create a production-ready machine learning pipeline for personalized product recommendations, similar to the system used by companies like Amazon.

22 hours

Optimize Recommendation System Performance for Netflix

Hard

Create a scalable and efficient recommendation system to improve content discovery and personalization for Netflix users.

40 hours

Improve Google Ads Bidding Optimization

Hard

Develop a machine learning-powered bidding optimization system to enhance the performance of Google Ads campaigns for a leading e-commerce company.

50 hours

Optimize Amazon Forecast for Demand Prediction

Hard

Enhance the performance of Amazon Forecast, a time-series forecasting service, to improve demand prediction for a major e-commerce retailer.

45 hours

Build a Personalized Movie Recommendation System like Netflix

Medium

Create a professional movie recommendation system similar to what Netflix uses to provide personalized movie suggestions to their users.

20 hours

Develop a Fraud Detection System like Amazon

Medium

Create a professional fraud detection system similar to what Amazon uses to identify and prevent fraudulent activities on their platform.

20 hours

Develop a Product Recommendation System like Amazon

Medium

Create a professional product recommendation system similar to what Amazon uses to provide personalized product suggestions to their customers.

20 hours

Prerequisites

• Python programming
• Fundamentals of machine learning
• Data preprocessing and feature engineering
• Supervised and unsupervised learning algorithms
• Experience with deep learning frameworks

Certificate

Certificate of Completion

Earn a certificate upon successful completion