Training with Iverson classes
Training is not a commodity – all training centres are not the same. Iverson Associates Sdn Bhd is the most established, the most reputable, and the top professional IT training provider in Malaysia. With a large pool of experienced and certified trainers, state-of-the-art facilities, and well-designed courseware, Iverson offers superior training, a more impactful learning experience and highly effective results.
At Iverson, our focus is on providing high-quality IT training to corporate customers, meeting their learning needs and helping them to achieve their training objectives. Iverson has the flexibility to provide training solutions whether for a single individual or the largest corporation in a well-paced or accelerated training programme.
Our courses continue to evolve along with the fast-changing technological advances. Our instructor-led training services are available on a public and a private (in-company) basis. Some of our courses are also available as online, on demand, and hybrid training.
Develop and deploy event-driven auto-scaling serverless applications and functions
Learn how to develop, deploy, and auto-scale event driven serverless applications on the Red Hat OpenShift Container Platform. Red Hat OpenShift Serverless enables developers and Site Reliability Engineers (SREs) to focus on the core business logic of their applications and functions by delegating operational concerns and infrastructure services to the Red Hat® OpenShift Serverless platform.
This course is based on Red Hat OpenShift Serverless 1.23 and OpenShift Container Platform 4.10.
Course content summary
- Understand OpenShift Serverless architecture and primary features of Knative for serverless applications.
- Implement cloud-native serverless applications using Knative serving.
- Implement event-driven serverless applications using Knative eventing.
- Implement serverless applications using OpenShift Serverless functions.
Recommended next exam or course
- Red Hat Cloud-native Microservices Development with Quarkus (DO378)
- Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams (AD482)
- Cloud-native Integration with Red Hat Fuse (AD221)
Additional Info
- Certification Course only
- Course Code DO244
- Price 1040
- Exam Price Exclude
- Exam Code 1
- Duration 1 Days
- Principals Red Hat
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Schedule
25 March 202429 April 202421 May 20243 June 202415 July 202426 August 202420 September 202414 October 202425 November 202416 December 2024
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Audience
- Cloud-native application developers interested in developing serverless applications
- Site Reliability Engineers and OpenShift Administrators interested in using serverless technologies to automate operations and developing utility tools to manage and monitor their applications.
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Prerequisities
- Complete Red Hat OpenShift I: Containers & Kubernetes (DO180) or demonstrate equivalent knowledge.
- Complete Red Hat OpenShift Development II: Containerizing Applications (DO288) or demonstrate equivalent knowledge.
- Experience programming REST APIs in Java or JavaScript (Node.js) is required.
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At Course Completion
As a result of attending this course, you will be able to accelerate the time to market for cloud-native applications by minimizing time spent on operational and scaling aspects. You will be able to achieve this through learning and demonstrating the following skills:
- Develop serverless applications locally, learn how to unit test them, build container images with using Containerfiles, and deploy the container image to a registry
- Deploy serverless applications to an OpenShift cluster from a container registry
- Auto-scale, version control and perform traffic splitting of serverless applications using Knative Serving
- Develop event-driven applications using Knative Eventing
- Develop serverless functions in multiple programming languages using Red Hat OpenShift Serverless Functions
- Module 1 Title Introduction to Red Hat OpenShift Serverless and Knative
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Module 1 Content
Describe the architecture of Red Hat OpenShift Serverless
- Module 2 Title Develop Serverless Applications by using Knative Serving
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Module 2 Content
Deploy and scale serverless applications with Knative Serving
- Module 3 Title Develop Event-driven Serverless Applications by using Knative Eventing
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Module 3 Content
Implement event driven serverless applications using Knative Eventing
- Module 4 Title Develop Applications by Using OpenShift Serverless Functions
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Module 4 Content
Implement serverless applications using OpenShift Serverless Functions
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Red Hat Fuse, based on the Apache Camel project, is a lightweight, flexible integration platform that enables rapid integration of cloud-native applications, both on-premise and in the cloud.
Camel development is organized around:
• Routes that define a sequence or flow of processing.
• Processors that transform, interpret, and modify messages within a Camel route.
• Components that enable the creation of endpoints that interact with the outside world for acquiring and transmitting data.
Cloud-native Integration with Red Hat Fuse (AD221) emphasizes learning architectural patterns and implementing integration services based on Apache Camel and OpenShift. Camel and Red Hat Fuse enable developers to create complex integrations in a simple and maintainable format. You will learn how to use the most common integration components in Camel and develop, test, and deploy integration focused applications on OpenShift. This course is based on Red Hat Fuse 7.10 and OpenShift 4.
Recommended for Developers:
Recommended for Site Reliability Engineers or Administrators:
Additional Info
- Certification Course only
- Course Code AD221
- Price 4650
- Exam Price Exclude
- Exam Code EX221
- Duration 3 Days
- Principals Red Hat
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Schedule
4-6 March 202415-17 April 202427-29 May 20245-7 June 202415-17 July 202412-14 August 202416-18 September 202421-23 October 20244-6 November 202416-18 December 2024
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Audience
This course is designed for Java developers focused on implementing integration solutions in an enterprise
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Prerequisities
- Experience with Java application development or Red Hat Application Development I: Programming in Java EE (AD183)
- De proficient in using an IDE such as Visual Stodio Code
- Experience with maven and version control is recommended, but not required
- Experience with Red Hat OpenShift or introduction to OpenShift Applications (DO101) is recommended but not required
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At Course Completion
As a result of taking this course, you will have a strong understanding of fundamental Camel concepts, commonly used Camel components and their configurations, and Camel deployment options. You will also develop a thorough grasp of enterprise integration patterns to solve integration problems. You will be able to demonstrate these skills:
- Develop Camel routes to integrate systems such as JMS, FTP, Databases, and REST services.
- Filter and transform messages to create integration routes that are highly reliable.
- Develop tests and use mock components to thoroughly test routes.
- Create reliable routes by implementing transactional routes that prevent data loss.
- Deploy Camel routes to Red Hat OpenShift Container Platform.
- Module 1 Title Introduction to Red Hat Fuse and Camel
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Module 1 Content
Describe the architecture of Red Hat Fuse and Camel and how they are used to integrate applications.
- Module 2 Title Create Camel routes
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Module 2 Content
Implement Camel routes and develop custom processors
- Module 3 Title Implement enterprise integration patterns
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Module 3 Content
Describe the most commonly used enterprise integration patterns and implement them using Camel components.
- Module 4 Title Create tests for routes and error handling
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Module 4 Content
Develop reliable routes by creating unit tests and mocks, and by handling errors.
- Module 5 Title Integrate services using asynchronous messaging
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Module 5 Content
Integrate microservices using Apache Kafka and ActiveMQ (JMS)
- Module 6 Title Implement transactions
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Module 6 Content
Provide data integrity in route processing by implementing transactions.
- Module 7 Title Build and consume REST services
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Module 7 Content
Implement and consume REST services with Camel.
- Module 8 Title Integrate cloud-native services
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Module 8 Content
Deploy cloud-native microservices based on Camel Routes and Camel K components to an OpenShift cluster
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Python is a popular programming language used by system administrators, data scientists, and developers to create web applications, custom Red Hat Ansible Automation modules, perform statistical analysis, and train AI/ML models. This course introduces the Python language and teaches fundamental concepts like control flow, loops, data structures, functions, file I/O, regular expressions, parsing JSON, and debugging. This course is based on Python 3 and RHEL 9.0.
Course summary
• Basics of Python syntax, functions and data types
• How to debug Python scripts using the Python debugger (pdb)
• Use Python data structures like dictionaries, sets, tuples and lists to handle compound data
• Learn Object-oriented programming in Python and Exception Handling
• How to read and write files in Python and parse JSON data
• Use powerful regular expressions in Python to manipulate text
• How to effectively structure large Python programs using modules and namespaces
• How to use third-party libraries using the pip CLI tool.
Recommended next exam or course
This course is part of the “Red Hat Training Presents” program. The courses in this program provide introductory content to get you started with the technology, and are complementary to other Red Hat Training offerings. This introductory Python course prepares you for:
Additional Info
- Certification Course only
- Course Code AD141
- Price 4160
- Exam Price Exclude
- Exam Code -
- Duration 4 Days
- Principals Red Hat
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Schedule
11-14 March 20241-4 April 202427-30 May 202418-21 June 20248-11 July 202412-15 August 202416-19 September 202421-24 October 20244-7 November 20249-12 December 2024
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Audience
- System administrators and DevOps personnel who want to use Python to automate operating system tasks
- Developers from other programming languages who want to learn Python for writing applications
- AI/ML, data scientists, and engineers who want to use Python for data analysis and machine learning
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Prerequisities
There are no prerequisites for this course.
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At Course Completion
As a result of attending this course, you will be able to program in Python. You will be able to achieve this through learning and demonstrating the following skills:
- Quickly prototype and experiment with using Pythons easy to read syntax, dynamic typing and powerful data types
- Read and write files and JSON data
- Structure large programs using modules and Object Oriented Programming
- Handle errors using Exceptions and troubleshoot applications using the Python debugger
- Manipulate text data using powerful regular expressions and the standard library String functions
- Module 1 Title An Overview of Python 3
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Module 1 Content
Introduction to Python and setting up the developer environment
- Module 2 Title Basic Python Syntax
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Explore the basic syntax and semantics of Python
- Module 3 Title Language Components
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Understand the basic control flow features and operators
- Module 4 Title Collections
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Write programs that manipulate compound data using lists, sets, tuples and dictionaries
- Module 5 Title Functions
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Decompose your programs into composable functions
- Module 6 Title Modules
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Organize your code using Modules for flexibility and reuse
- Module 7 Title Classes in Python
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Explore Object Oriented Programming (OOP) with classes and objects
- Module 8 Title Exceptions
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Handle runtime errors using Exceptions
- Module 9 Title Input and Output
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Implement programs that read and write files
- Module 10 Title Data Structures
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Use advanced data structures like generators and comprehensions to reduce boilerplate code
- Module 11 Title Regular Expressions
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Use powerful regular expressions to manipulate textual data
- Module 12 Title Parsing JSON
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Read and write JSON data
- Module 13 Title Debugging
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Debug Python programs using the Python debugger (pdb)
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As a Microsoft Dynamics 365 Business Central developer, you’re responsible for designing, developing, testing, and maintaining solutions based on Dynamics 365 Business Central. In this role, you develop apps that extend Business Central, including customizing or adding extra functionality. You also integrate Business Central with other applications, such as Microsoft Power Platform products. Plus, you need to ensure that data remains current during an upgrade process.
As a Business Central developer, you’re responsible for troubleshooting and debugging issues in the system. This may involve:
- Identifying the root cause of a problem.
- Fixing bugs.
- Testing the solution to ensure that it works as expected.
You may be required to optimize the performance of the system by:
- Identifying bottlenecks.
- Improving code quality.
You must have applied knowledge of Business Central and the application language (AL), the development environment, and other tools to develop extensions for it. You need some knowledge of how to install and upgrade the system. You should also understand:
- Industry terminology.
- The Business Central role in relationship to Microsoft 365 and Dynamics 365.
As a developer, you should have knowledge of:
- AppSource, Business Central–related technologies, frameworks, and services to build solutions.
- Technologies for application lifecycle management (ALM), including source control management (SCM) and continuous integration and continuous delivery (CI/CD).
Additional Info
- Certification Course & Certificate
- Course Code MB-820T00
- Price RM3500
- Exam Price Exclude
- Exam Code -
- Duration 5 Day
- Principals Microsoft
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Schedule
11-15 March 2024
24-28 June 2024
14-18 October 2024
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Audience
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Prerequisities
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At Course Completion
- Module 1 Title Introduction to the capabilities of Microsoft Dynamics 365 Business Central
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- Module 2 Title Customize Microsoft Dynamics 365 Business Central
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- Module 3 Title Prepare for an easy application upgrade experience in Business Central
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- Module 4 Title Administer Dynamics 365 Business Central online
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- Module 5 Title Introduction to the development environment for Dynamics 365 Business Central
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- Module 6 Title Debug and deploy your extension in Dynamics 365 Business Central
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- Module 7 Title Work with pages in Dynamics 365 Business Central
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- Module 8 Title Design the data model of a report in Dynamics 365 Business Central
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- Module 9 Title Work with codeunits in Dynamics 365 Business Central
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- Module 10 Title Work with XMLports in Dynamics 365 Business Central
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- Module 11 Title Work with entitlements and permission sets in Dynamics 365 Business Central
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- Module 12 Title Work with queries in Dynamics 365 Business Central
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- Module 13 Title Build control add-in objects in Dynamics 365 Business Central
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- Module 14 Title Customize the UI experience in Dynamics 365 Business Central
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- Module 15 Title Identify functional table types and characteristics in Dynamics 365 Business Central
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- Module 16 Title Introduction to the basics of AL programming in Dynamics 365 Business Central
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- Module 17 Title Learn about application performance and monitoring in Business Central
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- Module 18 Title Work with source control using Git in Visual Studio Code for Business Central
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- Module 19 Title Use Application Lifecycle Management for Business Central
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- Module 20 Title Introduction to test automation in Business Central
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- Module 21 Title Use Power Automate with Business Central
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- Module 22 Title Access REST services from within Dynamics 365 Business Central
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- Module 23 Title Use Azure Functions with Dynamics 365 Business Central
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- Module 24 Title Work with web services in Dynamics 365 Business Central
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- Module 25 Title Work with the API in Dynamics 365 Business Central
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This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.
Additional Info
- Certification Course & Certificate
- Course Code DP-3012
- Price RM1400
- Exam Price Exclude
- Exam Code -
- Duration 1 Day
- Principals Microsoft
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Schedule
10 May 2024
22 Jul 2024
20 Sep 2024
25 Nov 2024
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Audience
The Audience should have familiarity with notebooks that use different languages and a Spark engine, such as Databricks, Jupyter Notebooks, Zeppelin notebooks and more. They should also have some experience with SQL, Python, and Azure tools, such as Data Factory.
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Prerequisities
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At Course Completion
- Module 1 Title Introduction to Azure Synapse Analytics
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- Module 2 Title Use Azure Synapse serverless SQL pool to query files in a data lake
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- Module 3 Title Analyze data with Apache Spark in Azure Synapse Analytics
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- Module 4 Title Use Delta Lake in Azure Synapse Analytics
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- Module 5 Title Analyze data in a relational data warehouse
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- Module 6 Title Build a data pipeline in Azure Synapse Analytics
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Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data analytics workloads in a data lakehouse.
Additional Info
- Certification Course & Certificate
- Course Code DP-3011T00
- Price RM1400
- Exam Price Exclude
- Exam Code -
- Duration 1 Day
- Principals Microsoft
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Schedule
Available Upon Requested
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Audience
-
Prerequisities
None
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At Course Completion
- Module 1 Title Explore Azure Databricks
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Module 1 Content
Azure Databricks is a cloud service that provides a scalable platform for data analytics using Apache Spark.
- Module 2 Title Use Apache Spark in Azure Databricks
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Module 2 Content
Azure Databricks is built on Apache Spark and enables data engineers and analysts to run Spark jobs to transform, analyze and visualize data at scale.
- Module 3 Title Use Delta Lake in Azure Databricks
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Module 3 Content
Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture in Azure Databricks.
- Module 4 Title Use SQL Warehouses in Azure Databricks
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Module 4 Content
Azure Databricks provides SQL Warehouses that enable data analysts to work with data using familiar relational SQL queries.
- Module 5 Title Run Azure Databricks Notebooks with Azure Data Factory
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Using pipelines in Azure Data Factory to run notebooks in Azure Databricks enables you to automate data engineering processes at cloud scale.
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Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
Additional Info
- Certification Course & Certificate
- Course Code DP-605T00
- Price RM1400
- Exam Price Exclude
- Exam Code -
- Duration 1 Day
- Principals Microsoft
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Schedule
27 May 2024
22 Jul 2024
27 Sep 2024
29 Nov 2024
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Audience
-
Prerequisities
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At Course Completion
- Module 1 Title Get data in Power BI
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Module 1 Content
You'll learn how to retrieve data from a variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You'll also learn how to improve performance while retrieving data.
- Module 2 Title Clean, transform, and load data in Power BI
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Module 2 Content
Power Query has an incredible number of features that are dedicated to helping you clean and prepare your data for analysis. You'll learn how to simplify a complicated model, change data types, rename objects, and pivot data. You'll also learn how to profile columns so that you know which columns have the valuable data that you’re seeking for deeper analytics.
- Module 3 Title Design a semantic model in Power BI
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Module 3 Content
The process of creating a complicated semantic model in Power BI is straightforward. If your data is coming in from more than one transactional system, before you know it, you can have dozens of tables that you have to work with. Building a great semantic model is about simplifying the disarray. A star schema is one way to simplify a semantic model, and you learn about the terminology and implementation of them in this module. You will also learn about why choosing the correct data granularity is important for performance and usability of your Power BI reports. Finally, you learn about improving performance with your Power BI semantic models.
- Module 4 Title Add measures to Power BI Desktop models
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In this module, you'll learn how to work with implicit and explicit measures. You'll start by creating simple measures, which summarize a single column or table. Then, you'll create more complex measures based on other measures in the model. Additionally, you'll learn about the similarities of, and differences between, a calculated column and a measure.
- Module 5 Title Add calculated tables and columns to Power BI Desktop models
- Module 5 Content By the end of this module, you'll be able to add calculated tables and calculated columns to your semantic model. You'll also be able to describe row context, which is used to evaluated calculated column formulas. Because it's possible to add columns to a table using Power Query, you'll also learn when it's best to create calculated columns instead of Power Query custom columns.
- Module 6 Title Design Power BI reports
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Because Power BI includes more than 30 core visuals, it can be challenging for a beginner to select the correct visual. This module will guide you through selecting the most appropriate visual type to meet your design and report layout requirements.
- Module 7 Title Configure Power BI report filters
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Module 7 Content
Report filtering is a complex topic because many techniques are available for filtering a Microsoft Power BI report. However, with complexity comes control, allowing you to design reports that meet requirements and expectations. Some filtering techniques apply at design time, while others are relevant at report consumption time (in reading view). What matters is that your report design allows report consumers to intuitively narrow down to the data points that interest them.
- Module 8 Title Create and manage workspaces in Power BI
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Learn how to navigate the Power BI service, create and manage workspaces and related items, and distribute reports to users.
- Module 9 Title Manage semantic models in Power BI
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With Microsoft Power BI, you can use a single semantic model to build many reports. Reduce your administrative overhead even more with scheduled semantic model refreshes and resolving connectivity errors.
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This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets.
This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.
Additional Info
- Certification Course & Certificate
- Course Code DP-600T00
- Price RM3000
- Exam Price Exclude
- Exam Code -
- Duration 4 Day
- Principals Microsoft
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Schedule
Available Upon Requested
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Audience
The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.
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Prerequisities
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At Course Completion
- Module 1 Title Ingest Data with Dataflows Gen2 in Microsoft Fabric
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Module 1 Content
- Module 2 Title Ingest data with Spark and Microsoft Fabric notebooks
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Module 2 Content
- Module 3 Title Use Data Factory pipelines in Microsoft Fabric
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Module 3 Content
- Module 4 Title Get started with lakehouses in Microsoft Fabric
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- Module 5 Title Organize a Fabric lakehouse using medallion architecture design
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- Module 6 Title Use Apache Spark in Microsoft Fabric
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- Module 7 Title Work with Delta Lake tables in Microsoft Fabric
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- Module 8 Title Get started with data warehouses in Microsoft Fabric
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- Module 9 Title Load data into a Microsoft Fabric data warehouse
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- Module 10 Title Query a data warehouse in Microsoft Fabric
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- Module 11 Title Monitor a Microsoft Fabric data warehouse
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- Module 12 Title Understand scalability in Power BI
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- Module 13 Title Create Power BI model relationships
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- Module 14 Title Use tools to optimize Power BI performance
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- Module 15 Title Enforce Power BI model security
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This 1-day course teaches IT professionals who have experience with SAP solutions how to use Azure resources that include setting up and configuration of SAP environments in Azure for virtual machines, virtual networks, storage accounts, and Microsoft Entra ID. Learners will also explore backup, disaster recovery, and monitoring of SAP systems in Azure. Learn through the application of concepts, scenarios, and procedures through hands-on labs using Azure Center for SAP solutions.
Additional Info
- Certification Course & Certificate
- Course Code AZ-1006T00
- Price RM1400
- Exam Price Exclude
- Exam Code -
- Duration 1 Day
- Principals Microsoft
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Schedule
31 May 2024
29 Jul 2024
30 Sep 2024
25 Nov 2024
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Audience
Administrators of SAP systems that run on Azure should take this course. Before taking this course, candidates should pass the Azure Administrator (AZ-104) or Azure Infrastructure Solutions (AZ-305) exam and have completed training in SAP HANA or SAP NetWeaver
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At Course Completion
- Module 1 Title Modernize and explore Azure for SAP workloads
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- Module 2 Title Modernize and identify SAP-certified configurations
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- Module 3 Title Modernize and examine SAP S/4HANA on Azure Virtual Machines
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- Module 4 Title Modernize and explore Azure for SAP compute
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- Module 5 Title Modernize and explore Azure network for SAP
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- Module 6 Title Modernize and explore Azure for SAP storage
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- Module 7 Title Modernize and explore identity services for SAP on Azure
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- Module 8 Title Modernize and explore governance and manageability for SAP on Azure
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- Module 9 Title Modernize and deploy single-instance implementations of SAP on Azure (2-tier and 3-tier)
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- Module 10 Title Modernize and implement high availability in SAP NetWeaver with AnyDB on Azure Virtual Machines
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- Module 11 Title Modernize and explore Azure Center for SAP solutions
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- Module 12 Title Modernize and implement high availability for SAP workloads in Azure
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- Module 13 Title Modernize and implement disaster recovery for SAP workloads in Azure
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- Module 14 Title Modernize, perform backups and restores for SAP workloads on Azure
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- Module 15 Title Modernize, use the planning and deployment checklist for SAP workloads on Azure
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- Module 16 Title Modernize and explore monitoring requirements of Azure for SAP workloads
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Discover how SELinux and SE Booleans work to create a robust defense system and safeguard your system against potential threats and unauthorized access. In this session, we'll also explore the common SELinux errors and the solutions to address them!
Register Now through here.
PMP, Project Management Professional (PMP), CAPM, Certified Associate in Project Management (CAPM) are registered marks of the Project Management Institute, Inc.