Big Data Course

Big Data refers to large sets of collected data. Cloud Computing pertains to the mechanism that remotely handles and performs actions specified in these data.

Cloud computing providers often utilize Software as a Service (SaaS), which is software provided to users as services available on the provider's website.

Big Data Studies and Career Prospects

The realm of Big Data has been rapidly advancing and gaining momentum in the IT industry in recent years. Utilizing Big Data Science enables organizations to leverage information from various sources and draw insights for future business activities, financial decisions, process optimization, and more.

This is a new world of possibilities for profit creation, development, and process optimization. As a result, this field is continuously expanding, and there is a high demand for skilled workers.

Currently, there is a significant shortage in the local and international job market for Big Data professionals. Research has shown that the job market will likely struggle to provide skilled and professional workers in this field to meet the demand.

Industry Demand – Big Data

The development of the IT industry, with its various technological solutions and data communication, is producing massive amounts of information for market-operating companies. Consequently, the demand for Big Data professionals is very high, creating competitive wages and employment conditions in the field.

The ability to work with vast amounts of data for a variety of activities and goals positions the field of Big Data at the forefront of today's and upcoming practices. Accordingly, there is also a growing demand for project development.

Who is the Big Data course for?

Graduates of colleges/universities interested in specializing in Artificial Intelligence (AI) system development.
Hardware/software/computer science engineers without experience in this field seeking professional transition.
Individuals with relevant previous background and experience, including Python development and working with Linux operating systems.

Course Description – Big Data

The Big Data course includes lectures and practical exercises.

The Big Data course includes:

Class exercises accompanied by explanations, homework assignments, and solutions on the course website.
Course booklet.
Videos and presentations on the course website.

Towards the end of the course, each student will complete a practical project that summarizes the acquired knowledge during the course.

The lectures are held once a week in the evening hours.

Course Structure

Ch. 1

Introduction to Big data and Hadoop Ecosystem

Ch. 2

HDFS and YARN

Ch. 3

MapReduce and Sqoop

Ch. 4

Basics of Hive and Impala

Ch. 5

Types of Data Formats

Ch. 6

Spark, Hortonworks, HDFS, CAP

Ch. 7

Large Scale Data Storage

Ch. 8

Graph Processing and Machine Learning

Ch. 9

Spark Parallel Processing

Ch. 10

Spark RDD Optimization techniques

Ch. 11

FLUX architecture

Ch. 12

Spark Algorithm

Ch. 13

Pure components

Meet your instructor

Alex Shoihat

Head of Machine Learning Departments

Alex holds a B.Sc. in Information Systems and an M.A. in Electrical and Electronic Engineering.

As a Machine Learning Engineer at Embedded Academy, Alex specializes in the field of artificial intelligence, applying over 13 years of experience in project development, management, and transitioning from development to production in various domains such as Linux Embedded.

Throughout his career, Alex developed his expertise working with the integration of Machine Learning and Deep Learning in the Computer Vision and Data Analysis field.

What our graduates say

Sarah L.
Machine Learning course graduate

AI/ML developer

The Machine Learning course was super practical, from hardcore algorithms to the ethics of AI. Thanks to the professional connections I met during school got me several job offers to check right after I graduate

Paul N.
Machine Learning course graduate

Machine Learning Engineer

I was initially intimidated by the prospect of learning AI and machine learning because I thought I didn’t have enough mathematical knowledge, but throughout the course my instructor made sure I wouldn’t follow behind. It made a huge difference from other times I experienced with online courses.

Howard E.
AI course graduate

AI Product Manager

As a business leader, the AI/ML program has been instrumental in helping me identify opportunities to leverage intelligent technologies. I've been able to upskill my team and implement data-driven strategies that have given us a significant competitive advantage in the market.

Greg B.
Machine Learning course graduate

Robotics and Automation Specialist

I was impressed by the breadth and depth of the AI/ML curriculum. The hands-on projects, mentorship from industry experts, and exposure to real-world case studies have given me the confidence to apply advanced machine learning methodologies to solve real-world problems.

Leonard H.
AI course graduate

Natural Language Processing (NLP) Specialist

As someone with a background in data analysis, the AI/ML course provided me with the selected skills to take my career forward. I'm now fluent in building and deploying sustainable predictive models that drive strategic decision-making paths.