Are you ready for the Next-generation Cloud Technologies?

Nowadays, hardware resource management is very simplified by the general configuration, the rest of IT resources are fully managed by the software.

This software components are managed by the Cloud Engineers in an automated way. This is a new role in the market and requires specific Cloud skills.

Join Accenture’s Cloud Automation Bootcamp, and you will learn how the modern cloud platforms work, see how to represent physical resources as a code, and gain experience with automation frameworks.

During this course You will:

  • take a first step into Cloud Technologies and Cloud Architectures;
  • know how to manage virtualized networks and Linux operation system;
  • develop REST API services and clients for the remote operations using Python, Git, Continues Integration tools and containerization technologies;
  • manage Cloud Infrastructure resources using Infrastructure as Code approach;
  • build your own Software-Defined pipeline for the Cloud Infrastructure and your application;
  • work on a small project in Agile mode.

You will work with tools and solutions from leading provider of open source and enterprise IT solutions – Red Hat, as a developer you will work closely with Git, Python, Jenkins, Docker and other technologies.

Check these links to prepare for the Bootcamp:

 

Topics included in the Bootcamp:

  • Introduction to virtualisation and cloud technologies
  • Linux administration theory and best practices
  • Simplifying administration jobs by using Bash scripts
  • Practical introduction to network technologies
  • OOP using Python, Git and Continue tools
  • REST API server/client using Python and container technologies
  • “Infrastructure as a code” with Terraform and AWS CloudFor-mation
    AWS Cloud Services , DevOps Tools, CI/CD , kuber-netes/OpenShift and Docker Container
    “Configuration management” with Ansible and Chef
  • And other

APPLY UNTIL: March 7th, 2021

Big Data means high volume, high velocity, high variety of information and data veracity. To deal with big data challenges, new professions have emerged in the market: data engineers and data scientists. Data engineers are the builders and masters of various data-oriented information systems. Data scientists, on the other hand, are people who know how to extract knowledge or insights from these large volumes of data. In this three-week course, you will learn basic of data engineering using Hadoop ecosystem tools.

During this course You will learn:

  • Data engineer’s skill set that is needed for the builders and masters of various data-oriented information systems
  • Different Hadoop ecosystem tools: HDFS, Hive, Spark, MapReduce, Impala, Oozie, Sqoop etc.
  • Basic programming, Scala, Spark
  • SQL for big data: Hive
  • noSQL: Hbase, MongoDB, Cassandra
  • Streaming solutions like Flume, Kafka
  • Work on a small project

You will work with multiple tools (e.g. Hive, Spark, Scala) for a big data engineer, as a developer you will work closely with data scientists, web, DevOps, cloud automation and data visualization specialist

Pre-requirement for effective learning during the course:

  • Basic understanding of programming principles (Java, Python, Scala), some programming experience
  • Basic understanding of SQL and noSQL
  • Basic understanding of shell scripting (basic Unix commands)

Learn more about Accenture Bootcamp here:

Pre-test links:

 

Bootcamp dates and schedule coming soon!

Every programming activity can be abstracted as a transformation of data. And moving that from one place to another.

There are many types of entities that can be involved such as variables, interfaces and files. Or databases. Skills with those will come handy for the rest of your career.

Join a hands-on journey of managing data. Learn more by doing! You will gain experience with SQL and potentially more.

PL/SQL is extension by Oracle. It has been dominating the scene since the world took a step beyond mainframes in the 80s.

A random fact is that Oracle corporation owns MySQL. And Java too.

 SQL:

    • structure and objects
    • queries and joins
    •  data modelling

PL/SQL:

    • functions, procedures, packages and triggers
    • variables, cursors, custom data types and arrays
    • control statements and exception handling
    • coding conventions and guidelines

Bootcamp dates and schedule coming soon!

You are qualified as a student if you study full-time, part-time or you are on academical leave at any higher education institution in Latvia.
Please be informed that Accenture internship scholarship contest is organized in cooperation with RTU fund, which administrates scholarship payout. Before submitting application, please read regulations of competition

Congratulations!

Your Bootcamp application
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Cheers,
Your Bootcamp Team

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March

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