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.
This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.
8-11 Jan 2024
5-8 Feb 2024 (Penang Date)
4-7 Mar 2024
4-7 Jun 2024
2-5 Jul 2024 (Penang Date)
2-5 Sep 2024
5-8 Nov 2024 (Penang Date)
2-5 Dec 2024
Successful Azure Administrators start this role with experience in virtualization, networking, identity, and storage.
Booking of Exams
Our training centre offers a testing room that is open from Monday to Friday (9.00am to 3.00pm).
Those who have not attended our courses are also welcome to register for a test at our site.
Once you have purchased the exam voucher, please register with Iverson's test administration at This email address is being protected from spambots. You need JavaScript enabled to view it..
This course will prepare you to:
Available upon request
Essential
Recommended
Course based on software release
This course will prepare you to:
Available upon request
Essential
Recommended
Course based on software release
In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, No-SQL or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data.
The students will also explore how to design data security including data access, data policies and standards. They will also design Azure data solutions which includes the optimization, availability and disaster recovery of big data, batch processing and streaming data solutions.
21-22 Jan 2021
4-5 Feb 2021 (Penang Date)
11-12 Mar 2021
15-16 Apr 2021
17-18 Jun 2021
15-16 Jul 2021
19-20 Aug 2021 (Penang Date)
14-15 Oct 2021
16-17 Dec 2021
The audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
In this module, the students will learn how to design and build secure, scalable and performant solutions in Azure by examining the core principles found in every good architecture. They will learn how using key principles throughout your architecture regardless of technology choice, can help you design, build, and continuously improve your architecture for an organizations benefit.
Lessons
Lab : Case Study
After completing this module, students will be able to:
In this module, the student will learn the reference design and architecture patterns for dealing with the batch processing of data. The student will be exposed to dealing with the movement of data from on-premises systems into a cloud data warehouse and how it can be automated. The student will also be exposed to an AI architecture and how the data platform can integrate with an AI solution.
Lessons
Lab : Architect an Enterprise-grade Conversational Bot in Azure
After completing this module, students will be able to:
In this module, the student will learn the reference design and architecture patterns for dealing with streaming data. They will learn how streaming data can be ingested by Event Hubs and Stream Analytics to deliver real-time analysis of data. They will also explore a data science architecture the streams data into Azure Databricks to perform trend analysis. They will finally learn how an Internet of Things (IoT) architecture will require data platform technologies to store data.
Lessons
Lab : Azure Real-Time Reference Architectures
After completing this module, students will be able to:
In this module, the student will learn how to incorporate security into your architecture design and discover the tools that Azure provides to help you create a secure environment through all the layers of your architecture.
Lessons
Lab : Data Platform Security Design Considerations
After completing this module, students will be able to:
In this module, student will learn scaling services to handle load. They will learn how identifying network bottlenecks and optimizing your storage performance are important to ensure your users have the best experience. They will also learn how to handle infrastructure and service failure, recover from the loss of data, and recover from a disaster by designing availability and recoverability into your architecture.
Lessons
Lab : Designing for Resiliency and Scale
After completing this module, students will be able to:
In this module, students will learn how to design an Azure architecture that is operationally-efficient and minimizes costs by reducing spend, they will understand how to design architectures that eliminates waste and gives them full visibility into what is being utilized in your organizations Azure environment.
Lessons
Lab : Design for Efficiency and Operations
After completing this module, students will be able to:
In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on-premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.
The students will also explore how to implement data security, including authentication, authorization, data policies, and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions.
18-20 Jan 2021
1-3 Feb 2021 (Penang Date)
8-10 Mar 2021
12-14 Apr 2021
14-16 Jun 2021
12-14 Jul 2021
16-18 Aug 2021 (Penang Date)
11-13 Oct 2021
13-15 Dec 2021
The primary audience for this course is Data Professionals, Data Architects, and Business Intelligence Professionals who want to learn about the data platform technologies that exist on Microsoft Azure.The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
• Azure fundamentals
This module explores how the world of data has evolved and how cloud data platform technologies are providing new opportunities for businesses to explore their data in different ways. The students will gain an overview of the various data platform technologies that are available and how a Data Engineer's role and responsibilities has evolved to work in this new world to an organization's benefit.
After completing this module, students will be able to:
This module teaches the variety of ways to store data in Azure. The students will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data want to be stored in the cloud. They will also understand how Data Lake storage can be created to support a wide variety of big data analytics solutions with minimal effort.
After completing this module, students will be able to:
This module introduces students to Azure Databricks and how a Data Engineer works with it to enable an organization to perform Team Data Science projects. They will learn the fundamentals of Azure Databricks and Apache Spark notebooks; how to provision the service and workspaces; and how to perform data preparation task that can contribute to the data science project.
After completing this module, students will be able to:
In this module, students will learn how to work with NoSQL data using Azure Cosmos DB. They will learn how to provision the service, how they can load and interrogate data in the service using Visual Studio Code extensions, and the Azure Cosmos DB .NET Core SDK. They will also learn how to configure the availability options so that users are able to access the data from anywhere in the world.
After completing this module, students will be able to:
In this module, students will explore the Azure relational data platform options, including SQL Database and SQL Data Warehouse. The students will be able explain why they would choose one service over another, and how to provision, connect, and manage each of the services.
After completing this module, students will be able to:
In this module, students will learn the concepts of event processing and streaming data and how this applies to Events Hubs and Azure Stream Analytics. The students will then set up a stream analytics job to stream data and learn how to query the incoming data to perform analysis of the data. Finally, they will learn how to manage and monitor running jobs.
After completing this module, students will:
In this module, students will learn how Azure Data Factory can be used to orchestrate the data movement and transformation from a wide range of data platform technologies. They will be able to explain the capabilities of the technology and be able to set up an end to end data pipeline that ingests and transforms data.
After completing this module, students will:
In this module, students will learn how Azure provides a multi-layered security model to protect data. The students will explore how security can range from setting up secure networks and access keys, to defining permission, to monitoring across a range of data stores.
After completing this module, students will:
In this module, the students will get an overview of the range of monitoring capabilities that are available to provide operational support should there be issue with a data platform architecture. They will explore the common data storage and data processing issues. Finally, disaster recovery options are revealed to ensure business continuity.
After completing this module, students will be able to:
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.
20-23 Feb 2024
26-29 Apr 2024 (Penang Date)
24-27 Jun 2024
6-9 Aug 2024 (Penang Date)
1-4 Oct 2024
Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
Before attending this course, students must have:
If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.
The Red Hat Learning Subscription free trial is live! Unlock access to Red Hat Training courses, test skills in the lab environment, and preview Early Access releases. This free 14 days trial provides you with instant, self-service access to the entire training portfolio, and other valuable learning tools housed on the Red Hat Learning Platform. Visibility into the Red Hat Learning Subscription is available to anyone who activates the RHLS Free Trial.
24/7 access to course content
Experience learning made quickly teach yourself how to manage the complete project life cycle with Project 2016. With Step by Step, you set the pace and practicing the skills you need, just when you need them!
Discover how to:
• Work with Project 2016 on your PC or touch-enabled device
• Build and fine-tune your project plan
• Schedule tasks and milestones, and assign resources
• Track progress and costs, and manage variances
• Troubleshoot delays and budget overruns
• Customize Gantt chart views, tables, and calendars
• Learn project-management best practices
25-27 Jan 2021
8-10 Mar 2021 (Penang Date)
2-4 Jun 2021
15-16 Jul 2021
6-8 Sep 2021 (Penang Date)
11-13 Oct 2021
1. Project, project management, and you
• Meet the Project program
• Meet the Project family
• See the new features in Project 2016
o What was new in Project 2013
o What was new in Project 2010
• Take a project manager’s perspective
o Let’s get started!
2. Take a guided tour
• Explore the Project user interface
• Manage files and set options in the Backstage view
o Sidebar: Templates: Avoid reinventing the wheel
• Work with schedule details in views
• Use reports to check a plan’s status
• Skills review
• Practice tasks
3. Start a new plan
• Create a new plan and set its start date
• Set nonworking days in the project calendar
• Enter the plan title and other properties
o Sidebar: Project management focus: Project is part of a larger picture
• Skills review
• Practice tasks
4. Build a task list
• Create tasks
o Sidebar: Project management focus: Defining the right tasks for the deliverable
• Enter task durations and dates
o Sidebar: Project management focus: How do you come up with accurate task durations?
• Enter milestone tasks
• Create summary tasks to outline the plan
o Sidebar: Project management focus: Top-down and bottom-up planning
• Link tasks to create dependencies
• Switch task scheduling from manual to automatic
• Check a plan’s duration and finish date
• Document task information
• Skills review
• Practice tasks
5. Set up resources
• Set up work resources
o Sidebar: Equipment resource considerations
• Enter the maximum capacity for work resources
• Enter work resource pay rates
o Sidebar: Project management focus: Getting resource cost information
• Adjust working time in a resource calendar
• Set up cost resources
• Document resources by using notes
• Skills review
• Practice tasks
6. Assign resources to tasks
• Assign work resources to tasks
• Control work when adding or removing resource assignments
o Sidebar: Project management focus: When should effort-driven scheduling apply?
• Assign cost resources to tasks
• Check the plan after assigning resources
• Skills review
• Practice tasks
7. Format and share your plan
• Customize a Gantt chart view
o Sidebar: Drawing on a Gantt chart
• Add tasks to a Timeline view
o Sidebar: Panning and zooming a Gantt chart view from a Timeline view
• Customize reports
• Copy views and reports
• Print views and reports
• Skills review
• Practice tasks
8. Track progress: Basic techniques
• Understand progress tracking
• Save a baseline of your plan
• Track a plan as scheduled
• Enter a task’s completion percentage
• Enter actual values for tasks
o Sidebar: Project management focus: Is the project on track?
• Skills review
• Practice tasks
9. Fine-tune task scheduling
• See task relationships by using Task Path
• Adjust task link relationships
• Control task scheduling by using constraints
• Interrupt work on a task
• Adjust working time for individual tasks
• Control task scheduling by using task types
o Sidebar: Assignment units, Peak, and the assignment calculation
o Sidebar: Task types and effort-driven scheduling
• See task schedule details by using the Task Inspector
• Skills review
• Practice tasks
10. Fine-tune task details
• Enter deadline dates
• Enter fixed costs
• Create a recurring task
• View the plan’s critical path
• Schedule summary tasks manually
• Skills review
• Practice tasks
• Fine-tune resource and assignment details
11. Change resource availability over multiple date ranges
• Work with multiple resource pay rates
• Change resource pay rates over different date ranges
• Delay the start of assignments
• Apply contours to assignments
• Create and assign material resources
• View resource capacity
• Adjust assignments in the Team Planner view (Project Professional only)
• Skills review
• Practice tasks
12. Fine-tune the Project plan
• Examine resource allocations over time
o Sidebar: Project management focus: Evaluate resource allocation
• Resolve resource overallocations manually
• Level overallocated resources
• Check the plan’s cost and finish date
o Sidebar: Project management focus: Finish date and critical tasks
• Inactivate tasks (Project Professional only)
• Skills review
• Practice tasks
13. Organize plan details
• Sort plan details
• Group plan details
• Filter plan details
• Create new tables
o Sidebar: Create custom fields quickly
• Create new views
• Skills review
• Practice tasks
14. Track progress: Detailed techniques
• Update a baseline
o Sidebar: Save interim plans
• Track actual and remaining work for tasks and assignments
o Sidebar: Enter actual costs manually
• Track timephased actual work for tasks and assignments
o Sidebar: Project management focus: Collect actuals from resources
• Reschedule incomplete work
• Skills review
• Practice tasks
15. View and report project status
• Examine a plan’s variance
o Sidebar: Project management focus: Get the word out
• Identify tasks that have slipped
o Sidebar: Project management focus: Is variance ever a good thing?
• Examine task costs
• Examine resource costs
• Skills review
• Practice tasks
16. Format and print views: In-depth techniques
• Format a Gantt chart view
• Format a Timeline view
• Format a Network Diagram view
• Format a Calendar view
• Print and export views
• Skills review
• Practice tasks
17. Format reports: In-depth techniques
• Create a custom report
o Sidebar: How reports compare to views
• Customize charts in a report
• Customize tables in a report
• Skills review
• Practice tasks
18. Customize Project
• Share custom elements between plans
• Record and run macros
• Edit macros
• Customize the ribbon and Quick Access Toolbar
• Skills review
• Practice tasks
19. Share information with other programs
• Copy Project data to and from other programs
• Open files in other formats in Project
• Save to other file formats from Project
o Sidebar: Share files with previous versions of Project
• Generate reports with Excel and Visio
• Skills review
• Practice tasks
20. Consolidate projects and resources
• Share a resource pool across multiple plans
o Sidebar: Create a dedicated resource pool
• Consolidate plans
o Sidebar: Keep consolidated plans simple
• Create dependencies between plans
• Skills review
• Practice tasks
• Appendix A: A short course in project management
• Appendix B: Develop your project-management skills
• Appendix C: Collaborate: Project, SharePoint, and PWA
• Appendix D: Use this book in a classroom
Maintaining security of computing systems is a process of managing risk through the implementation of processes and standards backed by technologies and tools. In this course, you will learn about resources that can be used to help you implement and comply with your security requirements.
Course content summary
• Manage compliance with OpenSCAP.
• Enable SELinux on a server from a disabled state, perform basic analysis of the system policy, and mitigate risk with advanced SELinux techniques.
• Proactively identify and resolve issues with Red Hat Insights.
• Monitor activity and changes on a server with Linux Audit and AIDE.
• Protect data from compromise with USBGuard and storage encryption.
• Manage authentication controls with PAM.
• Manually apply provided Ansible Playbooks to automate mitigation of security and compliance issues.
• Scale OpenSCAP and Red Hat Insights management with Red Hat Satellite and Red Hat Ansible Tower.
23-26 Apr 2024
2-5 Jul 2024
15-18 Oct 2024
System administrators, IT security administrators, IT security engineers, and other professionals responsible for designing, implementing, maintaining, and managing the security of Red Hat Enterprise Linux systems and ensuring their compliance with the organization's security policies.
PMP, Project Management Professional (PMP), CAPM, Certified Associate in Project Management (CAPM) are registered marks of the Project Management Institute, Inc.