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DevOps++ Alliance Certifications

Valueinnova is proudly the lead partner of the DevOps++ Alliance in North America and the exclusive partner for Latin America and Spain

CP-DCB: Certified Professional

                DevOps Continuous Builds

Practitioner certification granted by the DevOps++ Alliance through the Agile Testing Alliance

CP-DCB stands for “Certified Professional – DevOps Continuous Builds” certification prepared and honored by Agile Testing Alliance. 


The course is applicable for all roles and knowledge, experience & certification is consciously designed all the roles in DevOps. 

How is it useful?

Leading organizations have adopted the DevOps approach to deliver in-time software. DevOps has quickly become the most hyped, overused and ambiguous term in IT. It is being used to reference everything from job titles (DevOps is not a job title!) to technology practices, but the truth is that DevOps is more of a culture than anything else. It is about transformation, about building quality in, improving productivity and about automation in Dev, Testing and Operations. DevOps is a one of its kind initiative to marry two distinct worlds of Agile and Operations together.

CP-DCB enables you to learn Build fundamentals and mind-set. It also helps you explore the possibilities in applying the concepts learned during the course.

CP-DCB could be the next step after successful completion of CP-DOF.

Am I Eligible?

There are no pre-requisites for this certification, but a preparation CP-DOF course will definitely help. Any IT professional interested in truly understanding DevOps can do this course.

Duration

CP-DCB is designed specifically for corporates and working professionals alike. If you are a corporate and can’t dedicate full day for training, then you can opt for either 6 half days course or 3 full days course which is followed by theory and practical exams.

Training Agenda

  1. Principles of Continuous Build

  2. Role of Continuous Integration

  3. Build Tools

  4. Gradle

  5. Gradle Wrapper

  6. Walking Skeletons

  7. Bootstrapping

  8. Reproducibility outside CI

  9. Storing CI config in source control

  10. Infrastructure as code

  11. CI Server Principles

  12. Building task dependencies

  13. Building and testing JVM Projects

  14. Repository Management (Git)(Artifactory)

  15. Continuous Integration/Delivery (Jenkins)

  16. Best Practices Version Management and Control

  17. CI at every Check-in (Continuous testing)

  18. Publishing reports using Gradle and Jenkins

  19. CI Cloud Services

  20. CI Self Hosted Services

  21. Use of virtual images

  22. Automating virtual image creation (Packer)

  23. Building Docker image with Packer

  24. Managing virtual images in CI

  25. Containerization

  26. Repository management for containers

  27. Container composition

  28. Clusters

  29. Use of containers in CI

  30. Challenges of native code

  31. Building variants

  32. Building on multiple operating systems

  33. Strategies for managing external libraries

  34. Repository managers for native code (Artifactory, Conan)

  35. Containers for building & testing

Mock Exam

Online Certification Exam

Disclaimer

  • Certification exam is conducted by globally recognized body Agile Testing Alliance.

CP-DOF: Certified Professional

                DevOps Foundation

Practitioner certification granted by the DevOps++ Alliance through the Agile Testing Alliance

CP-DOF stands for “Certified Professional – DevOps Foundation” certification prepared and honored by Agile Testing Alliance. 


The course is applicable for all roles and knowledge, experience & certification is consciously designed all the roles in DevOps. CP-DOF is the only globally recognized certification program which has the following key advantages:

  • Completely hands on.

  • 100% Lab/Tools Driven

  • Covers all the tools in entire lifecycle

  • You will not only learn but experience the entire DevOps lifecycle.

  • Practical Assessment to help you solidify your learnings

    The program covers end to end DevOps lifecycle using a complete tool chain. The program setup is provided through a sandbox where the participants get to learn the concepts by practicing exercises.

How is it useful?

Leading organizations have adopted the DevOps approach to deliver in-time software. DevOps has quickly become the most hyped, overused and ambiguous term in IT. It is being used to reference everything from job titles (DevOps is not a job title!) to technology practices, but the truth is that DevOps is more of a culture than anything else. It is about transformation, about building quality in, improving productivity and about automation in Dev, Testing and Operations.

CP-DOF is a one of its kind initiative to marry 2 distinct worlds of Agile and Operations together. Learn DevOps fundamentals along with Continuous Integration and Continuous Delivery and deep dive into DevOps concepts and mind-set. CP-DOF is the first step in DevOps roadmap. Certified CP-DOF professionals are eligible for next level of certification.

Am I eligible?

There are no pre-requisites for this certification. Any IT professional interested in truly understanding DevOps can do this course.

Duration

CP-DOF is designed specifically for corporates and working professionals alike. If you are a corporate and can’t dedicate full day for training, then you can opt for either 6 half days course or 3 full days course which is followed by theory and practical exams.

Background

DevOps and Agile, are they connected or are they different? There are other similar areas which are topics of discussion. Agile Testing Alliance keeps on publishing community blogs which make a good read for someone who wants to pursue CP- DOF certification.

Here are few recommended blogs from the ATABlogs DevOps page. (https://atablogs.agiletestingalliance.org/category/devops/)

  1. DevOps and 40 years of Continuous Improvement in the Software Industry (https://atablogs.agiletestingalliance.org/agile-testing-alliance-news/devops- and-40-years-of-continuous-improvement-in-the-software-industry/)

  2. Are DevOps and Agile same, different, friend or enemies? (https://atablogs.agiletestingalliance.org/agile/are-devops-and-agile-same- different-friend-or-enemies/)

  3. Continuous Improvement with DevOps (https://atablogs.agiletestingalliance.org/agile-testing-alliance- news/continuous-improvement-with-devops/)

  4. In DevOps world, everything is connected (https://atablogs.agiletestingalliance.org/devops/in-devops-world-everything-is- connected/)

Training Agenda

  1. Getting started

    1. Welcome and Introductions, CPDOF Certification criteria

    2. Overview of DevOps, DevOps++ Alliance and certification portfolio

    3. Market Survey- Job trends, Salaries and Career Growth in DevOps

  2. DevOps Fundamentals

    1. Recall Waterfall and Agile concepts

    2. Differences within Dev and Ops Teams

    3. DevOps and Agile – complementary concepts

    4. DevOps Definition and need

    5. DevOps history

    6. Shift left approach to Ops

    7. DevOps Principles

    8. Benefits achieved using DevOps, trends towards faster delivery

    9. DevOps Life Cycle and need of tools

  3. Software Configuration Management (SCM)

    1. Purpose and Basic Concepts of SCM

    2. Main SCM Activities

    3. Need of SCM for testers

    4. SCM Tools – basic features

    5. SCM Tool Overview and usage - [Git, Github, GitLab]

    6. Features of GIT – concept, overview, three stages

    7. Linux, Vim , Git Exercise – using CP-DOF Case study

    8. Practice Git commands, Create Git account, Git Repository creation and usage

    9. Publishing to Github/Gitlab, modify, delete, track, check logs for git repositories

    10. Automated Software Build process

  4. Maven – as a Build tool • Maven Objectives and usage

    1. Maven Build Life Cycle and Goals

    2. Maven build file POM.xml and its configuration elements with example

    3. Basic Maven commands – practical using CP-DOF case study

  5. Continuous Integration

    1. Need of CI, definition and usage

    2. Benefits and uses of CI

    3. CI Build ingredients

    4. Frequency of build, how to build and when to build

    5. Steps to CI success

    6. CI Workflow and T

    7. Continuous Integration/Delivery (CI) [Maven, Jenkins]

  6. Continuous Integration using Jenkins

    1. Jenkins Overview and History

    2. Jenkins in CI/CD Workflow

    3. Continuous Delivery and Continuous Deployment

    4. Main features of Jenkins

    5. Setup, Building and Reporting using Jenkins

    6. Create Jenkins Jobs for building Maven project - practical using CP-DOF case study

    7. Artefact-ing.

    8. Repository Management [Git, (Artifatory]

    9. Best Practices Version Management and Control

    10. Automated Build using Jenkins

    11. Continuous Testing - CI at every Check-in

    12. Concept of TDD

  7. Automated Test Scripts – Static and Dynamic

    1. Unit Tests - Junit Tests setup for Java project- practical using CP-DOF case study

    2. Functionals Tests - Selenium Test (Continuous Testing)

    3. Definition of Done –need and examples

    4. Static Code Analysis using PMD

  8. Checking Code Coverage [Cobertura] ​​

    1. Setting up Cobertura Coverage Reports - practical using CP-DOF case study

  9. Infrastructure Management – Docker, Ansible, Kubernetes

    1. Cloud Containers using Docker

    2. Docker Architecture and Overview

    3. Docker vs VM and benefits of Docker

    4. Docker images, containers and usage

    5. Docker commands - practical using CP-DOF case study

    6. Improved Deployment Process - Continuous Release / Deployment (CD) [Jenkins, Ansible]

    7. Infrastructure as Code

    8. Container Orchestration

    9. Micro-services

    10. Pods, Labels, Kubelets, proxies

    11. Docker and Kubernetes

  10. Automated Deployment Tool – Ansible

    1. Ansible definition and principles

    2. Ansible architecture

    3. Ansible yml file – deploy.yml overview

    4. Deploy using Jenkins Job and Ansible - practical using CP-DOF case study

    5. End-to-end project – configure, build, artefacting and deploying a project on docker container and on

    6. tomcat server -- practical using CP-DOF case study

    7. Anytime Deployable software building culture

  11. Continuous Delivery

    1. Continuous Monitoring and Logging – overview

    2. Simian Army - (Simian Monkeys - Conformity, Janitor, Chaos)

    3. DevOps end-to-end pipeline and tool chain - Useful DevOps Tools Groups by category

    4. DevOps Jargon

    5. DevOps Anti-patterns

    6. DevOps Myths

    7. DevOps Culture/ Values

    8. Create and use Docker VM effortlessly

    9. Continuous Monitoring

  12. Dashboards using tools like Grafana and Nagios

  13. Tools Covered

    1. Jenkins

    2. Git

    3. Ansible

    4. Docker

    5. Kubernetes

    6. JFrog Artifactory

    7. Cobertura

    8. Junit

    9. Selenium

    10. Maven

    11. Tomcat

    12. Nagios

    13. PMD

Disclaimer

  • Certification exam is conducted by globally recognized body Agile Testing Alliance.

 

CP-CPT: Certified Professional

               Continuous Performance Testing

Practitioner certification granted by the DevOps++ Alliance through the Agile Testing Alliance

CP-CPT stands for “Certified Professional – Continuous Performance Testing” certification prepared and honored by Agile Testing Alliance.

The course is applicable for all roles and not just “testers”. Knowledge, experience & certification is consciously designed to focus on “continuous, agile and DevOps testing” and not on “being only a tester”. 

How is it useful?

CP-CPT helps you get into the testing mindset in any agile or DevOps project with performance testing being the core area. It is important to test performance of any application on a continuous or regular basis. Even minor changes in code can have immense consequences for the performance benchmarks/baselines of the application. A continuous integration (CI) server with performance testing tools is the fastest and most secure way to detect such performance issues.

This program will enable Agile and DevOps teams to run continuous and automated performance tests on their web and mobile applications without causing bottlenecks in the process. Developers and testers gain immediate, actionable insight allowing them to fix performance issues early, before they become costly crashes in production

ATA’s tag line is surest way to learn practical agile testing and this program imbibes the same in it. The continuous performance testing is actually practical continuous performance testing based on tools like JMeter, Taurus and Jenkins.

CP-CPT provides a comprehensive understanding of using JMeter as a Performance Testing tool for different environments through a practical approach. Emphasis is placed on planning a load test, understanding scenarios, adding schedules, building scenarios, using runtime settings, monitoring performance, executing scenarios, how to do work load modeling in a practical way. Program also compares different performance testing tools and would help participants:

  1. Create pluggable samplers which allow unlimited testing capabilities

  2. Understand several load statistics which may be chosen with pluggable timers.

  3. Understand to use functions which can be used to provide dynamic input to a test or provide data manipulation

  4. Integrate performance tests with Jenkins for continuous integration of performance tests

  5. Multiple test output formats

Am I Eligible?

Anyone who wants to learn continuous performance testing is eligible for this course. There is no pre-requisite for this course. CP-CPT can be taken by anyone who wants to become a professional in continuous performance testing. The only pre-requisite is that the participant should have a graduation in any engineering and science stream. Participant should have basic knowledge of any database, computer Networks and protocols specially HTTP.

Duration

CP-CPT is designed specifically for corporates and working professionals alike. If you are a corporate and can’t dedicate full day for training, then you can opt for either 6 half days course or 3 full days course which is followed by theory and practical exams.

Training Agenda

  1. Performance Testing Fundamentals

    1. What is Performance Testing? Learning about what is performance testing, need of performance testing and different types of performance testing.

    2. What are different terminologies in performance testing? Learning about different terminologies of performance testing like Capacity, Investigation, latency, metrics, resource utilization, response time, saturation, scalability and stability.

    3. How does a performance testing tool work? Knowing how the performance testing tool works. Examples of different performance testing tools.

    4. What is workload modeling? Learning about what is workload modeling and importance of workload modeling.

  2. Installation of the tools and Environment setup for Performance Testing.

    1. Installation on windows Installing the required tools for performance testing like Firefox browser, JMeter, python, Taurus and Jenkins on windows.

    2. Installation on MAC Installing the required tools for performance testing like Firefox browser, JMeter, python, Taurus and Jenkins on MAC

  3.  JMeter

    1. JMeter Features Different features of JMeter

    2. How JMeter works? Actual working of the JMeter tool.

    3. JMeter GUI Hands-on with JMeter gui on test plan, workbench, adding and saving elements, configuring elements, running and stopping a test plan, saving a test plan and test reports.

    4. Test Plan Elements Learning about the test plan elements such as thread group, controllers, listeners, timers, assertions, configuration elements, pre-processor elements and post-processor elements.

    5. Execution order of test elements. Learning about the order in which the test elements execute on execution of a test.

    6. Recording in JMeter. Step-by-step set up of elements for recording, set up the proxy server, recording a test and then execute the recorded test.

    7. Create a test manually Create a test manually by using specific elements required for the test and executing the created test.

    8. Correlation and use of Regular expression Correlation and its importance in JMeter and use of regular expressions to extract response data.

    9. Web-service testing with JMeter. What is a web-service? Creating a web-service test and then executing the test.

  4. Blazemeter Taurus to the scene

    1. About Taurus Introduction to Taurus and why the need for Taurus.

    2. What Taurus provides? The features that Taurus provides such as simple set-up, easy upgrading, execute existing JMeter tests, real-time reporting, etc.

    3. Installing the Taurus tool Install and set-up the Taurus environment for performing performance tests.

    4. Executing an existing JMeter file in Taurus JMeter tests are saved as jmx file that can be executed on Taurus with just a single command. And also viewing and saving the results to blazemeter site.

    5. Executing yaml scripts in Taurus

      1. Converting existing JMeter scripts to yaml and executing the same on Taurus.

      2. Understanding what is yaml? The syntax for creating performance test scripts and creating a yaml script manually and executing the created script.

  5. Jenkins

    1. Using Jenkins as a CI (Continuous integration tool).

  6. Performance Monitoring

    1. Using different tools and technologies for performance monitoring.

  7. Results, reporting, analysis, tools & performance counters.

    1. Server level profiling and analysis

    2. Application level profiling and analysis

    3. Database level profiling and analysis

    4. Network level profiling and analysis

  8. Case Study

    1. Applying tools in actual application

 

CP-ET: Certified Professional

             Exploratory Testing

Practitioner certification granted by the DevOps++ Alliance through the Agile Testing Alliance

CP-ET stands for “Certified Professional – Exploratory Testing” certification prepared and honored by Agile Testing Alliance. 


The course is applicable for all roles and not just “testers”. Knowledge, experience & certification is consciously designed to focus on “agile testing” and not just on “agile testers”. 

How is it useful?

CP-ET helps you explore and master ways to test effectively in DevOps projects using Exploratory Testing approach. It starts with learning about product under test and analyze the use stories. Creating agile test strategy to expose risks and plan better. Decide on how much to test, prioritization and how to add value to the product using testing. It also covers measuring exploratory testing coverage and reporting findings to the stakeholders. This is completely hands on course focuses on keeping sprints on time and deal with late discovery of bugs and recurring defects.

Am I Eligible?

Anyone having more than 3 years of experience in testing is eligible for CP-ET. If you have already done CP-BAT then you automatically qualify for this course provided you have 1 year experience. If you have attended the “Exploratory Testing in Agile and DevOps Projects” workshop, then you are entitled to take this certification exam directly.

Duration

CP-ET is designed specifically for corporates and working professionals alike. If you are a corporate and can’t dedicate full day for training, then you can opt for either 6 half days course or 3 full days course which is followed by theory and practical exams.

What is the high-level Course Content?

  1. Introduction and Acknowledgements

  2. Scripted vs Exploratory Approach

  3. Understand the context and mission

  4. Planning, Estimating in ET

  5. Types of Exploration

  6. Charters and Sessions

  7. Test ideas and bugs

  8. Different quality criteria and how they can be achieved in ET

  9. How do you achieve coverage

  10. How do you report in ET

  11. Tools

  12. ET in Different Projects

  13. Continuous Learning

  14. Demo and Exercises

 

CP-HDF: Certified Professional

                Hadoop Foundation

Practitioner certification granted by the DevOps++ Alliance through the Agile Testing Alliance

CP-HDF stands for “Certified Professional – Hadoop Foundation” certification prepared and honored by DevOps++ Alliance and Agile Testing Alliance. 


The course is applicable for all roles and knowledge, experience & certification is consciously designed all the roles in who want to learn Big Data in practical manner. 

How is it useful?

Big Data is not a technology per-se, it is a phrase used to quantify data sets that are so large and complex that they become difficult to exchange, secure, and analyze with typical tools. These courses on big data show you how to solve these problems, and many more, with leading IT tools and techniques.

Organizations are learning that important forecasts can be made by sorting through and analyzing Big Data. As more than 75% of this data is “unstructured”, it must be formatted in a way that makes it suitable for data mining and further analysis.

Hadoop is fundamental platform for structuring big data, and resolves the problem of formatting it for subsequent analytics purposes. It is an Apache open source framework written in java that permits distributed processing of large datasets across collections of computers with the help of simple programming models. It provides massive storage for any type of data, huge processing power and the capability to handle virtually limitless parallel tasks or jobs.

Am I Eligible?

There are no pre-requisites for this certification. Any IT professional interested in truly understanding Big Data in practical manner can do this course.

Duration

CP-HDF is designed specifically for corporates and working professionals alike. If you are a corporate and can’t dedicate full day for training, then you can opt for either 6 half days course or 3 full days course which is followed by theory and practical exams.

Training Agenda

  1.  Introduction Hadoop, HDFS and Big Data

    1. What is Big Data

    2. 3V’s of Big Data

    3. Why Big Data?Existing architecture w.r.t Analytics and problems against that? ü Hadoop

    4. solution for Data Analytics architecture.

    5. Introduction to HDFS

    6. File and Block concept

    7. Data backup using Fault tolerance (Replication)Rack Awareness

    8. Understanding Hadoop Distributed File System

    9. Scalability w.r.t HDFS storage and add nodes to the cluster. ü Purpose of YARN.

    10. Processing component of Hadoop Framework.

    11. Difference between Hadoop versions 1.X and 2.x

    12. Understanding Resource Manager

    13. Tools and Utilities on top of Hadoop Framework.

  2. Data Access Mechanism Using PIG and HIVE

    1. Recognizing the Use cases for PIG involving building data pipelines and iterative data processing.

    2. Pig execution modes in HADOOP cluster

    3. Introduction to PIG Latin

    4. PIG with HDFS and Local file system.

    5. PIG usage as Data Flow Language.

    6. Map Reduce jobs with PIG SCRIPTS.

    7. Introduction to HIVE.

    8. Introduction to Hive QL.

    9. Difference between HIVE and Data Warehouse.

    10. Understanding how HIVE works on top of Hadoop.

    11. Understanding difference between HIVE managed and HIVE external tables.

    12. Understanding use cases for HIVE bucketed and HIVE portioned tables.

    13.  Understanding the purpose of HCatalog in HIVE.

    14. File formats supported in HIVE and its uses

  3. Processing Framework @ HADOOP – Map Reduce vs Spark and Data Workflow management

    1. Introduction to No SQL database.

    2. What is CAP theorem?

    3. Introduction to No-SQL database HBASE (columnar database).

    4. Significance of No-SQL

    5. Understanding Map reduce Framework.

    6. Stages in Map reduce framework.

    7. Understanding the purpose and capabilities of Sqoop.

    8. Export and Import jobs using Sqoop.

    9. Capabilities of using Apache Spark Streaming and windowing functions.

    10. Understanding how Spark applications execute on YARN.

    11. Explain various components in Spark and its uses.

    12. Understanding the role of Zookeeper in the Cluster.

    13. Understanding the purpose and capabilities of OOZIE workflow scheduler.

    14. Understanding OOZIE web console

  4. Case Study​

  5. Mock exam

  6. Online Certification Exam

 

CP-IOTF: Certified Professional

                 Internet of Things Foundation

Practitioner certification granted by the DevOps++ Alliance through the Agile Testing Alliance

CP-IoTF stands for “Certified Professional – IoT Foundation” certification prepared and honored by Agile Testing Alliance. 


The course is applicable for all roles and knowledge, experience & certification is consciously designed all the roles working on IoT projects. 

How is it useful?

CP-IoTF helps you explore and master ways to test effectively in DevOps projects using Exploratory Testing approach. It starts with learning about product under test and analyze the use stories. Creating agile test strategy to expose risks and plan better. Decide on how much to test, prioritization and how to add value to the product using testing. It also covers measuring exploratory testing coverage and reporting findings to the stakeholders. This is completely hands on course focuses on keeping sprintson time and deal with late discovery of bugs and recurring defects.

Am I Eligible?

There are no pre-requisites for this certification. Any IT professional interested in truly understanding IoT world can do this course.

Duration

CP-IoTF is designed specifically for corporates and working professionals alike. If you are a corporate and can’t dedicate full day for training, then you can opt for either 6 half days course or 3 full days course which is followed by theory and practical exams.

What is the high-level Course Content?

  1. Introduction and Acknowledgements

  2. IoT Overview

  3. IoT Architecture

  4. IoT Applications in different domains

  5. Connect – Sensors, Microcontroller, Interface

  6. What is Sensor & Actuator?

  7. Types of sensors

  8. Sensor Demo - Proximity and IR sensors

  9. Collect – Communication + Cloud

  10. Introduction to communication architecture- Network protocol stack

  11. Different IoT protocols

  12. Communication Channels

  13. Comparison of the different IoT protocols, limitations of these IoT protocols.

  14. Security aspects

  15. Consume - Monitoring, Reporting, Analytics

  16. Brainstorming on opportunities and how they can be realized.

  17. Workshop – Sensors

  18. Workshop – Communication + Cloud

 

CP-MLDS: Certified Professional - Machine

                   Learning & Data Science Foundation

Practitioner certification granted by the DevOps++ Alliance through the Agile Testing Alliance

CP-MLDS Foundation stands for “Certified Professional – Machine Learning and Data Science Foundation” certification prepared and honored by “Agile Testing Alliance”.

The course is applicable for all roles and knowledge, experience & certification is consciously designed for all those who want to learning practical Machine learning and Data Science.

How is it useful?

Machine learning is based on algorithms that can learn from data without relying on rules-based programming.

As ever more of the analog world gets digitized, our ability to learn from data by developing and testing algorithms will only become more important for what are now seen as traditional businesses. Google chief economist Hal Varian calls this “computer kaizen.”

For “just as mass production changed the way products were assembled and continuous improvement changed how manufacturing was done,” he says, “so continuous [and often automatic] experimentation will improve the way we optimize business processes in our organizations.

This is where it is clear, that we are into a computer kaizen world. A world where Machine learning and Data science algorithms are driving this self-learning and continuous learning process and bringing about a massive change in almost every industry. We have machine learning and data science now being used in banking, insurance, health care, sports, manufacturing, smart cities, IoT Solution, Automotive, Aviation, Shipping and every other industry for that matter.

Machine learning and Data science need thus has increased multifold in past few years and would keep on increasing. At the same time there is a dearth of experienced professionals who know Machine learning and Data Science. There is no dearth of machine learning and data science programs where folks would need to spend infinite amount of time and efforts to acquire this knowledge. The challenge is for working professionals to spend so much time. Most often this rigor is lost over few weeks or months

 

 

This program solves this issue addresses two basic needs

  1. Practical tool-based Machine learning and Data Science exposure for every working professional

  2. Allow working professionals to acquire this knowledge in the most agile manner

Am I Eligible?

There are no pre-requisites for this certification program except having some prior knowledge of any programming language and basics of mathematics and statistics. Programming is Python driven and having prior knowledge of Python would be an advantage.

Duration

CP-MLDS is one of the only FastTrack track program specially designed to Reskill / Upskill working professionals. The Training program is composed of

  • Lab sessions – 3 full days (24 Hrs) Instructor led fully hands on lab sessions

  • Project assignments and Mentoring – Post the three day training program, 2 projects assignments will be shared by the mentor. The process is designed to help the participants strengthen their learnings.

  • Certification Exam. The certification exam comprises of one Theory Section (40 Marks) and one Practical section (60 Marks). Theory section is of 1 hour and practical section is of 2 hours. Getting 60% in both the sections of exam is necessary to get the CP-MLDS certificate.

  • The training program (Part a and b above) is not mandatory for someone to go for CP-MLDS certification.

CP-CRPA: Certified Professional - Cognitive

                  Robotics Process Automation

Practitioner certification granted by the DevOps++ Alliance through the Agile Testing Alliance

CP-CRPA Program stands for “Certified Professional – Cognitive Robotic Process Automation” certification prepared and honored by “Agile Testing Alliance”. The course is applicable for all roles and knowledge, experience & certification is consciously designed for all those who not only want to learn robotic process automation but to master it.

This is a master program which will run for 6 weeks, enabling participants to not only master Robotic process automation but also applying predictive analytics and dashboarding using IBM Watson, making this one of a kind master program on Cognitive Automation. The program integrates RPA and AI using Blue Prism and IBM Watson, thus establishing mastery of Robotic Process Automation (Blue Prism) with most renowned IBM platform Watson. Cognitive Automation course prepares you for RPA professional roles and provide a solid career opportunity. Participants will get hands on experience in RPA by working on various real time projects, learning Industry use cases across BFSI, Healthcare, HR and SCM, RPA project life cycle, and Documentation process.

How is it useful?

RPA or Robotic Process Automation is a piece of highly customized software, often called a Software Robot or a BOT, that when deployed perform a variety of tasks as a part of the Digital Enterprise. BOTs facilitate inter application messaging, manipulate data and output. RPA has become extremely critical for any digital enterprise or any enterprise on their path towards digital transformation. No enterprise of today would be considered innovative without a forward-looking automation strategy which is based or derived out of RPA. The sudden upsurge in demand for RPA comes from the fact that all enterprises who look at reducing their costs, increasing their accuracy and being more agile would ultimately need RPA. The need thus for RPA enabled professionals has also increased multifold. There has been a huge gap in the demand v/s supply of such skills which not only cover RPA but add some predictive analytics over and above the automation achieved – or attaching some cognitive intelligence on the process automation. This program thus is addressing these needs.

The program is a master program which takes the participant into a very detailed hands on approach on learning the intricacies of not only RPA but Cognitive RPA. Being a Cognitive Automation professional leads you to a fast track road of exciting, evolving career line. A career line that is predicted to grow sharply into 2020 and beyond. Robotic Process Automation, Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics and even customer service. Please note the below statistics.

“Artificial Intelligence Market worth 190.61 Billion USD by 2025” 
“Global RPA market size is expected to reach over USD 5.1 billion by 2025”
If you want to be a part of this fastest growing segment of industry, this master program is definitely for you​

Am I Eligible?

There are no prerequisites required to learn RPA and Cognitive Automation. However, having basic knowledge of any programming language will be an added advantage.

Duration

This is a master program which will run for 6 weeks followed by theory and practical exams.

Who is this program for?

 

This course is designed for everyone willing to up-skill and to stay ahead in his career in the era of cognitive automation, few of the roles as under,

  • For all developers who are interested in cognitive automation

  • For all testers (manual/automation) who want to transform their career

  • For BPO/Support professionals who want to switch their career to cognitive automation?

  • For operation professionals wanting to learn and move into cognitive automation jobs

  • For all managers who desire to get their hands dirty by learning and implementing Cognitive Automation

    projects.

 

Tools covered

 

This program covers two major tools

  • IBM Blue Prism

  • IBM Watson

 

About the CP-CRPA exam

The CP-CRPA certification exam has three parts

  • 20 percent on the class participation, completion and submission of assignments

  • 30 percent theory exam consisting of multiple choice questions based on learnings from the program

  • 50 percent practical case study exam to be submitted after completion of the program – with in 2 weeks of

    finishing the program.

  • Passing marks have to be a minimum of 60 percent in each of the above

Learning Objectives and Main Topics

 

  1. Introduction: You will get introduced to RPA and learn about the need, value proposition, choice of tools and the business case associated with the tool covered in the program. Following would be covered

    1. RPA overview

    2. RPA value proposition

    3. RPA Tool vendor landscape

    4. Why Blue Prism

    5. Business Cases for Blue Prism Deployment

    6. The Purpose and Benefits of Deploying Blue Prism

    7. Job opportunity with RPA and AI

  2. Blue Prism Technology Overview: Understand on how Blue Prism works and its architecture

    1. How Blue Prism Works

    2. Blue Prism Architecture

    3. Blue Prism operating Model

  3. Installing Blue Prism: Learn to set up Blue Prism and get ready for more

    1. Database installation

    2. Blue Prism Installation

    3. License key setup

  4. Exploring Blue Prism: Learn about processes, stages and various options available for calculations and decisions and other features of Blue Prism that would be used in subsequent case studies.

    1. Working with different stages

    2. Calculation, Decision, Choice, Collection, Loop, Anchor,

    3. Understanding Business Objects

    4. Understanding Blue Prism Processes

    5. Pages, Multi Page and page linking

    6. Inputs, Output and Startup Parameters

    7. Data item Visibility and their types

    8. Error/Exception Handling

  5. End-to-End Automation of a process – Windows and Web application: Learn on how to do end to end automation of process for a Windows and a web application

    1. Creating and Managing Business Objects in Object Studio

    2. Creating and Managing Blue Prism Processes in Process Studio

  6. SpyingMode: Learn how to spy element for various / different applications and modes

    1. Win32

    2. Accessibility

    3. Region Mode (Surface Automation)

    4. HTML Mode

  7. Using Control Room: Learn about Control Rooms in Blue Prism, which provide a centralized administration console for controlling, monitoring, executing and scheduling process execution on the distributed robots.

    1. Work Queues Management

    2. Session Management

    3. Scheduler

  8. Excel Automation: Learn how to use Excel for automation purposes

    1. Read Data

    2. Write Data

    3. Append to Excel

  9. EmailAutomation: Learn how to configure and use emails for automation purposes.

    1. Mail configuration

    2. Receive Email

    3. Send Email with/without attachment

  10. SQL Automation: Learn on using SQL and Database for automation purposes

    1. Set up connection

    2. Execute Queries

    3. Fill data to collection/CSV from SQL Database

  11. Deploying Blue Prism processes: Learn on how to configuring and deploying processes

    1. Configuring Blue Prism process

    2. Deploying Blue Prism processes in control room

  12. Code Stage: Learn on how the code stage adds the power and flexibility of a professional programming language to the visual convenience of the Blue Prism flow charting tool.

    1. Code Stage overview

    2. Writing scripting in Code Stage

  13. Blue Prism Administration: Learn the administrative features of Blue Prism

    1. Blue Prism Security

    2. Pooling

    3. Audit and Process Logs

    4. Reporting & Dashboard

    5. Packaging and release management

    6. Multi bot architecture setup

    7. Login Agent setup

  14. RPA Life Cycle and their artifacts: Learn about the RPA Life Cycle and their artifacts

    1. Initial Process Analysis (IPA)

    2. Define - Process Definition Document(PDD)

    3. Design - Solution Design Document (SDD)

    4. Automation Development

    5. Testing Definition Document (TDD)

    6. Deployment Model

    7. Design and Architecture practices

  15. Cognitive Automation - IBM Watson: Learn Cognitive Analytics with IBM Watson which enables data exploration, predictive analytics and effortless dashboard along with info-graphic creation. Understand and implement use of natural language processing and image analytics and combining with the concepts learned in RPA

    1.  Introduction

      1. What is Cognitive RPA?

      2. Cognitive RPA – features

      3. Cognitive RPA platform overview

      4. Cognitive RPA use cases

    2. Natural Language Processing (NLP)

      1. Text Analysis, Sentiment Analysis

      2. NLP API consumption

      3. Build your own social media monitoring tool

      4. Analysis of Email ​​​​

    3.  Image Analytics

      1. Computer Vision

      2. Image Classification

      3. Unstructured data to structure conversion

      4. AAdhar/PAN/Invoice extraction

  16. End to end case study for exam preparation

    1. Implement an end to end case study as a preparation for the certification exam

 
 

CP-DOFE: Certified Professional - DevOps Foundation for Executives

Practitioner certification granted by the DevOps++ Alliance through the Agile Testing Alliance

Certified Professional - DevOps Foundation for Executives (CP-DOFE) certification aims to give executives a full perspective of the business and economic contribution that DevOps brings to the organization as part of the business ecosystem.

 

The course is applicable to people at C-Suite, VP and Director level. CP-DOFE is the only certification program recognized worldwide that has the following key advantages:

 

  • Practically shows the DevOps life cycle

  • Provides the business perspective of DevOps

  • Provides the economic perspective of DevOps

  • Contextualizes DevOps in the business ecosystem

 

Advantages:

Upon completion of the training, executives will have a complete business perspective that will allow them to generate strategy and make decisions at the strategic level aligned with DevOps and the rest of the company.

 

Eligibility:

There are no prerequisites for this certification. Any executive inside or outside the technical areas interested in understanding DevOps will benefit from this course.

 

Duration:

One full day or two half-days.

Contents:

1. Starting

1.1. Welcome and presentations.

1.2. Overview of DevOps and the DevOps ++ Alliance

1.3. Dynamics for identification of business needs

2. Fundamentals of DevOps

2.1. The traditional and the agile perspective

2.2. Differences between development and operations

2.3. DevOps and Agile - complementary concepts

2.4. Definition and need for DevOps

2.5. History of devOps

2.6. Move the focus to Ops to the left.

2.7. Principles of DevOps

2.8. Benefits achieved using DevOps, trends towards faster delivery

2.9. DevOps Life Cycle and need for tools.

3. Building a DevOps culture

3.1. Open communication

3.2. Alignment of responsibilities

3.3. Respect

3.4. Trust

3.5. Initial point

3.6. Generating the change

3.7. Useful metrics

4. The executive action

4.1. Sponsorship

4.2. Involvement and leadership

4.3. Cultural evolution

5. Scaling

5.1. Scaling

5.2. De-escalation (XDO)

6. Benefits

6.1. Business benefits

6.2. Economic benefits

7. Success stories