Software testing is the process of evaluating a software item to detect differences between functional or non-functional requirements and actual functionality. Testing assesses the quality of the product; it requires planning, monitoring, design and execution. Usage of automated testing helps to achieve high quality and efficiency while shortening the time needed for test execution. In this course, you will learn software testing fundamentals, but the last part of the training is devoted to practical test automation implementation for the demo project.

During the course you will get practical experience in software testing, Java, Selenium WebDriver, Cucumber, Git and work in an Agile project-like environment.

Check these links to prepare for the Bootcamp:

• Syllabus for Testing foundations  (might look very complicated, but try to read and understand)
• Download and do a few mock examples

APPLY UNTIL: September 10th, 2020

Big Data means high volume, high velocity, high variety 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 the first three weeks of course, you will learn basic of data engineering using Hadoop ecosystem tools. Last week will be dedicated to machine learning and data science basics.

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, 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
• Cloud: AWS, Azure, Google
• Machine learning: data preparation, introduction to supervised and unsupervised learning, model development and evaluation.

Tools and platforms mentioned above are used on daily basis and ensures good and broad enough understanding to interact, work together with data engineers, data scientists, DevOps, cloud automation and data visualization specialists.

Pre-requirement for effective learning during course:

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

Pre-test links:

• Hadoop
• Spark
• SQL
• noSQL
• List of file formats (“Text-based” sub-part.)
• Log file
• Programming languages and programming basics (e.g. Java, Python or Shell script)
• Basic Unix commands
• Machine learning

Apply until June 27th!

Cloud technologies, automation, scripting, teamwork and much more! Join DevOps and Cloud bootcamp and learn core concepts of Git, Jenkins, AWS, Chef, Docker, Sonar and obviously – DevOps. After this bootcamp you will know how to use Amazon Web Services, perform other tool orchestration with Jenkins, create Docker containers and even more. Apart from that, you will understand how Continuous Delivery, Continuous Integration and Continuous Testing works. All this will help you to develop new DevOps and Cloud solutions during internship.

Learn more about Accenture Bootcamp here:

Check these links to prepare better for the Bootcamp :

What is DevOps?

Jenkins: Build a Java app with Maven 

Play with Docker

Git video tutorials 

Learn some Chef

APPLY UNTIL JULY 25th!

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

APPLY UNYIL JULY 25th!

A project management office (PMO) is a team or department that sets and maintains standards for project management throughout an organization. The PMO is in charge of creating procedures and best practices that will help operations:

• Go smoothly
• Complete on time
• Result in quality deliverables

We know that each PMO is slightly different, and what a PMO does is different in every organization. However, there are certain things that PMOs have in common. PMO is a value-adding team, who helps project managers get their work done. It’s essential to have standard PMO processes embedded and used across the business. Accenture Latvia Core PMO Processes.

Read more about types  and roles of PMO – https://www.pmi.org/learning/library/project-management-office-strategy-execution-1449

Why haven’t you heard about the PMO before? Only for the past twenty years, the concept of PMO has been gaining popularity across multiple industries and types of organizations in different parts of the world and only ~10 years in Accenture Latvia.

During this course You will:

• learn the fundamentals of Project Management Office;
• Obtain theoretical and practical skills in working with PMO tasks
• Learn the key terms and definitions
• Build your logical and troubleshooting skills

You will work with tools:

• MS Excel
• MS PowerPoint
• MS Project
• PowerBI

APPLY UNTIL JULY 18th!

SAP is an Enterprise Resource Planning (ERP) System used to store and maintain company’s data in order to provide day to day business operations and customer relations. It is one of the leading ERP systems with a growing market share and in-demand trend for many of Accenture’s clients.  Migration of company’s data to SAP requires an understanding of various IT tools and business processes. Data migration developers will work closely with Data Services, LSMW, MySQL, SAP HANA and other technologies, but we value logic and analytical thinking more than pre-existing experience in our candidates. These technologies can be used in a variety of ways that are not limited to data migration such as process improvement, automation, optimization, data management etc.

SAP Data management and Data Migration are hot and growing fields. By becoming skilled in these areas, you will be ready to help clients become more effective and provide better service to their customers.

You will:

• learn the fundamentals of SAP Data, it’s characteristics and role in business processes
• obtain theoretical and practical skills in working with data migration tools;
• learn basics of SQL programming language;
• practice working individually and in teams;
• use Agile methodologies;
• build your logical and troubleshooting skills;

You will work with one of the leading migration tools – Data Services, as a developer you will work closely with SAP, MS Excel, SQL, LSMW and other technologies.

APPLY UNTIL JULY 18th!

Check these links to prepare for the Bootcamp :

• Object-oriented programming (OOP)
• https://docs.oracle.com/javase/tutorial/getStarted/index.html
• https://docs.oracle.com/javase/tutorial/java/index.html
• https://docs.oracle.com/javase/tutorial/essential/index.html
• http://www.javaworld.com/article/2075202/core-java/object-oriented-language-basics-part-1.html

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:

• Learn Cloud Infrastructure Technologies
• Learn Linux
• Learn Git
• Follow the Python Tutorials

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: August 28th, 2021

Bootcamp schedule will follow. It will be 3-4 long.