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Launch your career in Data and AI through our bootcamp programs

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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
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  • Part-time flexible schedule
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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


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

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Consulting Case Study: Integrated AI Content Search

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. As organizations continue to undergo digital transformations all over the world, enterprises are experiencing pains that […]

Data Visualisation in Einstein Analytics using Stack Over Flow data from Redshift.

The blog is posted by WeCloudData’s student Sneha Mehrin. This Article Outlines the Key Steps in Creating a Highly Interactive Dashboard in Einstein Analytics by Connecting to Redshift. image from This article is a part of the series and continuation from the previous article where we build a data warehouse in Redshift to store the streamed and processed […]

Creating a Data Warehouse Using Amazon Redshift for StackOverflow Data

The blog is posted by WeCloudData’s  student Sneha Mehrin. Steps to Create a Data Warehouse and Automate the Process of Loading Pre-Processed Data Using Pyspark Script in Emr image from This article is part of the series and continuation of the previous post where we processed the streamed data using spark on EMR. Why use Redshift? Redshift is […]

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 […]

How to Build a Technical Design Architecture for an Analytics Data Pipeline

The blog is posted by WeCloudData’s student Sneha Mehrin. An Overview of Designing & Building a Technical Architecture for an Analytics Data Pipeline Problem. This article is a continuation of the previous post and will outline how to transform our user requirements into a technical design and architecture. Let’s summarise our two major requirements: Let’s […]

Build Real-Time Dashboard on Amazon Webservices

The blog is posted by WeCloudData’s student Luis Vieira. I will be showing how to build a real-time dashboard on Amazon Webservices for two different use cases, and a registry of open data from New York City Taxi and Limousine Commission (TLC) Trip Record Data. By the end you should have a Kibana Dashboard as following: […]

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 […]

Data Analysis on Twitter Data Using DynamoDB and Hive

The blog is posted by WeCloudData’s student Amany Abdelhalim. There are two steps that I followed to create this pipeline : 1) Collect Twitter Feeds and Ingest into DynamoDB 2) Copy the Twitter Data from DynamoDB to Hive First: Collect Twitter Feeds and Ingest into DynamoDB In order to create a pipeline where I collect tweets on a […]

Analyzing Kinesis Data Streams of Tweets Using Kinesis Data Analytics

The blog is posted by WeCloudData’s student Amany Abdelhalim. In this article, I am illustrating how to collect tweets into a kinesis data stream and then analyze the tweets using kinesis data analytics. The steps that I followed: Create a kinesis data stream.   I created a kinesis data stream which I called “twitter” with […]

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, […]

An Introduction to Big Data & ML Pipeline in AWS

The blog is posted by WeCloudData’s Big Data course student Abhilash Mohapatra. This story represents an easy path for below items in AWS : Build an Big Data Pipeline for both Static and Streaming Data. Process Data in Apache Hadoop using Hive. Load processed data to Data Warehouse solution like Redshift and RDS like MySQL. […]

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 […]