Program  

Courses
Location
Corporate
Student Success
Resources
Bootcamp Programs
Short Courses
Portfolio Courses
Bootcamp Programs

Launch your career in Data and AI through our bootcamp programs

  • Industry-leading curriculum
  • Real portfolio/industry projects
  • Career support program
  • Both Full-time & Part-time options.
Data Science Bootcamp

Become a data engineer by learning how to build end-to-end data pipelines

 

Become a data analyst through building hands-on data/business use cases

Become an AI/ML engineer by getting specialized in deep learning, computer vision, NLP, and MLOps

Become a DevOps Engineer by learning AWS, Docker, Kubernetes, IaaS, IaC (Terraform), and CI/CD

Short Courses

Improve your data & AI skills through self-paced and instructor-led courses

  • Industry-leading curriculum
  • Portfolio projects
  • Part-time flexible schedule
AI ENGINEERING
Portfolio Courses

Learn to build impressive data/AI portfolio projects that get you hired

  • Portfolio project workshops
  • Work on real industry data & AI project
  • Job readiness assessment
  • Career support & job referrals

Build data strategies and solve ML challenges for real clients

Help real clients build BI dashboard and tell data stories

Build end to end data pipelines in the cloud for real clients

Location

Choose to learn at your comfort home or at one of our campuses

Corporate Partners

We’ve partnered with many companies on corporate upskilling, branding events, talent acquisition, as well as consulting services.

AI/Data Transformations with our customized and proven curriculum

Do you need expert help on data strategies and project implementations? 

Hire Data, AI, and Engineering talents from WeCloudData

Student Success

Meet our amazing alumni working in the Data industry

Read our students’ stories on how WeCloudData have transformed their career

Resources

Check out our events and blog posts to learn and connect with like-minded professionals working in the industry

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

Our free courses and workshops gives you the skills and knowledge needed to transform your career in tech

Consulting Case Study: Job Market Analysis

Executive Summary WeCloudData is one of the fastest growing Data & AI training companies in the world. Since 2016, WeCloudData has trained and helped thousands of students and clients level up their data skills and mature their data organizations. Understanding the job market is a central business need for many organizations and for all HR […]

Data Processing Stack Overflow Data Using Apache Spark on AWS EMR

The blog is posted by WeCloudData’s  student Sneha Mehrin. An overview on how to process data in spark using DataBricks, add the script as a step in AWS EMR and output the data to Amazon Redshift This article is part of the series and continuation of the previous post. In the previous post, we saw how we can […]

Preprocessing Criteo Dataset for Prediction of Click Through Rate on Ads

The blog is posted by WeCloudData’s student Amany Abdelhalim. In this post, I will be taking you through the steps that I performed to preprocess the Criteo Data set. Some Aspects to Consider when Preprocessing the Data Criteo data set is an online advertising dataset released by Criteo Labs. It contains feature values and click feedback […]

An Introduction To Spark and Its Behavior.

The blog is posted by WeCloudData’s Big Data course student Abhilash Mohapatra. Checklist Followed: Mapreduce, Hadoop and Spark. Spark Architecture. Spark in Cluster. Predicate Pushdown, Broadcasting and Accumulators. 1. Mapreduce, Hadoop and Spark For this section, let the below table represents data stored in S3 which is to be processed. Below table represents the Map and Shuffle […]

Embarrassingly Parallel Model Training on Spark — Pandas UDF

The blog is posted by WeCloudData’s Big Data course student Udayan Maurya. Spark is one of the most popular tool to perform map-reduce tasks efficiently on large scale distributed data-sets. Additionally, Spark comes with MLlib package to perform Machine Learning on distributed data. On the flip side Python has very mature libraries: Numpy, Pandas, Scikit-Learn, […]

Let’s Read Customer Reviews (actually-make machines do it!)

The blog is posted by WeCloudData’s Bid Data course student Udayan Maurya. Customer reviews are invaluable information to understand the gap in your product market fit. If you sell your products on e-platforms: Amazon, Ebay, Appstore, Playstore, Youtube, etc. then you are in luck. You have direct access to your customers mind. However, to leverage customer’s […]

An Introduction to Data Pipeline with Spark in AWS

The blog is posted by WeCloudData’s Big Data course student Abhilash Mohapatra. This story represents an easy path to Transform Data using PySpark. Along with Transformation, Spark Memory Management is also taken care. Here Freddie-Mac Acquisition and Performance Data from year 1999–2018 is used to create a Single o/p file which can further be used for Data Analysis or Building Machine […]

Building Data Pipeline in AWS for Retail Data

The blog is posted by WeCloudData’s Data Engineering course student Rupal Bhatt.  Here is a Donut Chart prepared from processed data. Our data passes through several processes before meeting a dashboard and giving us a full picture like the one above. This is an attempt to show you one way of processing such data. Big […]