Novell's Guide to the LPIC-1 Certification Using SUSE Linux Enterprise Server 11

This course provides a learning experience for students who want to prepare for the LPIC-1 certification exams. It uses SLES 11 as the Linux operating system environment that allows students to get the hands-on experience they need as they seek to earn the LPIC-1 certification. After completing this course, students should be ready to attempt the LPIC-1 exams.

Training Level: 1 - Novice

Key Objectives

During this course, you learn the following:

·         Use the Linux Desktop and the Command Line Interface

·         Install SUSE Linux Enterprise Server 11

·         Administer SUSE Linux Enterprise Server 11 with YaST

·         Administer SUSE Linux Enterprise Server 11 with the Command Line Interface

·         Manage Processes, Jobs, and Run levels

·         Configure the Network

·         Configure Applications and Services (File, Print, DNS, Samba, Apache, ...)

·         Understand Security-Related Tools

Audience Summary

·         This course is designed for students preparing for LPI's LPIC-1 exams.

Upgrading to and Exploring New Features in Novell ZENworks 11 Configuration Management

This Upgrading to and Exploring New Features in Novell ZENworks 11 Configuration Management course prepares students to upgrade from a ZENworks 10 environment to ZENworks 11 and to implement new ZENworks 11 functionality.

Training Level: 3 - Experienced

Key Objectives

Students learn the following high-level skills:

·         Upgrading to ZENworks 11

·         Using Administrator Groups

·         Reconciling Devices

·         Describing Location Awareness

·         Using Change Management

·         Implementing Dynamic Local User Policy

·         Utilizing Intel Active Management Technology

·         Managing Linux Devices

·         Activating Endpoint Security Management

·         Deploying ZENworks Appliance

·         Configuring Novell Service Desk

Audience Summary

This course is ideal for those who have solid ZENworks experience and who want to learn about and implement the new features of ZENworks 11. The audience for this course includes a diverse group of professionals:

·         ZENworks system administrators, integrators and engineers

·         Networking consultants

·         Reseller and partner technical-support staff

Novell ZENworks 11 Configuration Management Administration

The purpose of this course is to update the content of Course 3108 (Novell ZENworks 10.3 Configuration Management Administration) to match the Novell ZENworks 11 Configuration Management version of the product. It teaches students the concepts, processes, and architecture of Novell ZENworks 11 Configuration Management that is required core knowledge for anyone who plans to administer ZCM 11 or any integrated or related ZENworks products.

Training Level: 2 - Intermediate

Key Objectives

This course helps students become familiar with the purpose and components of Novell ZENworks 11 Configuration Management and enables them to perform advanced administrative tasks in a lab environment, or in a production environment under the direction of an experienced Novell ZENworks 11 Configuration Management network engineer. Students will also build their administrative knowledge by performing more involved administrative tasks for products that are integrated into ZCM 11.

Audience Summary

This course is ideal for those who have solid ZENworks experience and who want to learn about and implement the new features of ZENworks 11. The audience for this course includes a diverse group of professionals: ZENworks system administrators, integrators and engineers Networking consultants Reseller and partner technical-support staff.

Big Data on AWS

Big Data on AWS introduces you to cloud-based big data solutions and Amazon Elastic Map Reduce (EMR), the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Pig and Hive. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Course Objectives

This course is designed to teach you how to:

·         Understand Apache Hadoop in the context of Amazon EMR.

·         Understand the architecture of an Amazon EMR cluster.

·         Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon EC2 instance types.

·         Choose appropriate AWS data storage options for use with Amazon EMR.

·         Know your options for ingesting, transferring, and compressing data for use with Amazon EMR.

·         Use common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming.

·         Work with Amazon Redshift to implement a big data solution.

·         Leverage big data visualization software.

·         Choose appropriate security options for Amazon EMR and your data.

·         Perform in-memory data analysis with Spark and Shark on Amazon EMR.

·         Choose appropriate options to manage your Amazon EMR environment cost-effectively.

·         Understand the benefits of using Amazon Kinesis for big data.

Intended Audience This course is intended for:

·         Individuals responsible for designing and implementing big data solutions, namely Solutions Architects and SysOps Administrators.

·         Data Scientists and Data Analysts interested in learning about big data solutions on AWS.

Delivery Method

This course will be delivered through a mix of:

·         Instructor-Led Training (ILT).

·         Hands-on Labs.

Hands-On Activity

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Big Data Technology Fundamentals

Big Data Technology Fundamentals provides baseline general knowledge of the technologies used in big data solutions. It covers the development of big data solutions using the Hadoop ecosystem, including Map Reduce, HDFS, and the Pig and Hive programming frameworks. This web-based course helps you build a foundation for working with AWS services for big data solutions. This course is offered at no charge, and can be used on its own or to help you prepare for the Big Data on AWS instructor-led course.

Course Objectives

This course is designed to teach you how to:

·         Identify common tools and technologies that can be used to create big data solutions.

·         Understand the Map Reduce programming framework, including the map, shuffle and sort, and reduce components.

·         Distinguish options available for creating a big data solution using the Hive programming framework.

Intended Audience

This course is intended for:

Individuals who are new to big data concepts, including Enterprise Solutions Architects, Big Data Solutions Architects, Data Scientists, and Data Analysts.

Delivery Method

This course will be delivered through:

·         Web-Based E-Learning.

DevOps Engineering on AWS

DevOps Engineering on AWS demonstrates how to use the most common DevOps patterns to develop, deploy and maintain applications on AWS. The course covers the core principles of the DevOps methodology and examines a number of use cases applicable to startup, small-medium business, and enterprise development scenarios.

Course Objectives

This course is designed to teach you how to:

·         Use the principal concepts and practices behind the DevOps methodology.

·         Design and implement an infrastructure on AWS that supports one or more DevOps development projects.

·         Use AWS Cloud Formation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project.

·         Set up Git on AWS and understand the array of options for enabling a Continuous Integration environment on AWS.

·         Use the core principles of Continuous Integration and Continuous Deployment.

·         Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing.

·         Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, and Amazon EC2 Container Service), and decide which technology best fits a given scenario.

·         Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues.

Intended Audience

This course is intended for:

·         "System Administrators.

·         Software Developers.

Systems Operations on AWS

System Operations on AWS is designed to teach those in a Systems Administrator or Developer Operations (DevOps) role how to create automatable and repeatable deployments of networks and systems on the AWS platform. The course covers the specific AWS features and tools related to configuration and deployment, as well as common techniques used throughout the industry for configuring and deploying systems.

Course Objectives this course is designed to teach you how to:

·         Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Elastic Load Balancing, and Auto Scaling from the command line.

·         Use AWS Cloud Formation and other automation technologies to produce stacks of AWS resources that can be deployed in an automated, repeatable fashion.

·         Build functioning virtual private networks with Amazon VPC from the ground up using the AWS Management Console.

·         Deploy Amazon EC2 instances using command line calls and troubleshoot the most common problems with instances.

·         Monitor the health of Amazon EC2 instances and other AWS services.

·         Manage user identity, AWS permissions, and security in the cloud.

·         Manage resource consumption in an AWS account using tools such as Amazon Cloud Watch, tagging, and Trusted Advisor.

·         Select and implement the best strategy for creating reusable Amazon EC2 instances.

·         Configure a set of Amazon EC2 instances that launch behind a load balancer, with the system scaling up and down in response to demand.

·         Edit and troubleshoot a basic AWS Cloud Formation stack definition.

Developing on AWS

The Developing on AWS course is designed to help individuals design and build secure, reliable and scalable AWS-based applications. In this course, we cover fundamental concepts and baseline programming for developing applications on AWS. We also show you how to work with AWS code libraries, SDKs, and IDE toolkits so that you can effectively develop and deploy code on the AWS platform.

Course Objectives

This course is designed to teach you how to:

·         Install and configure SDKs and IDE tool kits

·         Automate basic service operations using C# or Java

·         Use security models to manage access to AWS

·         Understand deployment models and usage with AWS

Intended Audience

This course is intended for: Developers

·         Delivery Method

This course will be delivered through a blend of:

·         Instructor-Led Training

·         Hands-on Labs

Advanced Operations on AWS

Deploy, monitor, measure, and scale your applications on Amazon Web Services.

In this course, you will learn how to deploy, operate, and scale your infrastructure by improving the performance, availability, and cost effectiveness of your applications on Amazon Web Services (AWS). You will learn about automating deployments, updating resources, and monitoring operational health of your workloads and applications. Hands-on labs will help you apply learning’s with actual applications and automated workloads.

What You’ll Learn

·         Create new Amazon Cloud Watch metrics and utilize them along with existing AWS service metrics

·         Conduct advanced automated bootstrapping of Amazon Elastic Compute Cloud (EC2) instances configured with Chef

·         Declare, deploy, and update your infrastructure as code with AWS Cloud Formation

·         Respond to operational needs by scaling with Auto Scaling

·         Fail away from an AWS Availability Zone

·         Automate tasks with Amazon Simple Workflow (SWF)

·         Use AWS Identity and Access Management (IAM) to delegate access to your teams and infrastructure components

Who Needs to Attend

·         Developers

·         System administrators

·         Others responsible for managing operations on the AWS platform

Advanced Architecting on AWS

Building on concepts introduced in Architecting on AWS, Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic applications on the AWS platform. Building on concepts introduced in Architecting on AWS, this course covers how to build complex solutions which incorporate data services, governance, and security on AWS. This course introduces specialized AWS services, including AWS Direct Connect and AWS Storage Gateway to support Hybrid architecture. It also covers designing best practices for building scalable, elastic, secure, and highly available applications on AWS.

Course Objectives

This course is designed to teach you how to:

·         Manage multiple AWS accounts for your organization

·         Connect on-premises datacenter to AWS cloud

·         Discuss billing implications of connecting multi-region VPCs

·         Move large data from on-premises datacenter to AWS

·         Design large data stores for AWS cloud

·         Understand different architectural designs for scaling a large website

·         Protect your infrastructure from DDoS attack

·         Secure your data on AWS with encryption

·         Design protection of data-at-rest as well as data-in-flight

·         Enhance the performance of your solutions

Intended Audience

This course is intended for:

·         Seasoned IT professionals who are already familiar with AWS services

Delivery Method

This course will be delivered through a mix of:

·         Instructor-Led Training (ILT)

·         Hands-on Labs

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Architecting on AWS

Architecting on AWS covers the fundamentals of AWS. It is designed to teach Solution Architects how to optimize the use of the AWS Cloud by understanding AWS services and how these services fit into a cloud solution. Your architectural solution may differ depending on industry and size of business. Because there is no one-size-fits-all design, this course highlights some AWS Cloud design patterns to help you learn how a service may fit in the overall cloud design. It also covers the best practices and lessons learned.

We strongly recommend that you meet the course prerequisites, including attending AWS Essentials, before you attend the Architecting on AWS course. Take a short self-assessment to see if you are ready.

Course Objectives this course is designed to teach you how to:

·         Make architectural decisions based on the AWS recommended architectural principles and best practices

·         Demonstrate basic knowledge of security best practices when using AWS

·         Create a cloud migration roadmap and a plan

·         Leverage AWS services to make your servers scalable

·         Create a business continuity plan and achieve High Availability

Intended Audience

This course is intended for:

·         Solutions Architects

·         Solution Design Engineers

Delivery Method

This course will be delivered through a mix of:

·         Instructor-Led Training (ILT)

·         Hands-on Labs

AWS Technical Essentials

AWS Technical Essentials introduces you to AWS products, services, and common solutions. It provides IT technical end users with basic fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.

Course Objectives

This course is designed to teach you how to:

·         Recognize terminology and concepts as they relate to the AWS platform.

·         Navigate the AWS Management Console.

·         Understand the security measures AWS provides.

·         Differentiate AWS Storage options and create an Amazon Simple Storage Service (S3) bucket.

·         Recognize AWS Compute and Networking options and use Amazon Elastic Compute Cloud (EC2) and Amazon Elastic Block Storage (EBS).

·         Describe Managed Services and Database options.

·         Use Amazon Relational Database Service (RDS) to launch an application.

·         Identify Deployment and Management options.

Intended Audience

This course is intended for:

·         Individuals responsible for articulating the technical benefits of AWS services.

·         Any individual who is new to AWS.

·         SysOps Administrators and Developers who are interested in using AWS services.

Delivery Method

This course will be delivered through a mix of:

·         Instructor-Led Training.

·         Hands-on Labs.

·         Knowledge Checks.

Hands-On Activity

This course includes activities that will allow you to test new skills and apply knowledge through hands-on lab activities.

AWS Business Essentials

AWS Business Essentials helps IT business leaders and professionals understand the benefits of cloud computing and how a cloud strategy can help you meet your business objectives. In this course we discuss the advantages of cloud computing for your business and the fundamentals of AWS, including financial benefits. This course also introduces you to successful cloud adoption frameworks so to help you consider the AWS platform within your cloud computing strategy.

Course Objectives

This course is designed to teach you how to:

·         Identify the value and benefits of the AWS cloud

·         Recognize the valuable ways that the AWS platform can be used

·         Understand the robust security capabilities, controls, and assurances in place to maintain security and data protection

·         Articulate the financial impact the AWS cloud can have on an organization’s procurement cycle, cost management, and contracts, while minimizing risks associated with consumption-based pricing models

Intended Audience

This course is intended for:

·         IT Business Leaders and Professionals

·         Individuals who are new to working with AWS

Delivery Method

This course will be delivered through a mix of:

·         Instructor-Led Training (ILT)

·         Group Discussions

AWS Certified DevOps Engineer - Professional

Achieving Amazon Web Services (AWS) Certified DevOps Engineer - Professional certification validates your technical expertise in provisioning, operating and managing distributed application systems on the AWS platform. It confirms your ability to:

·         Implement and manage continuous delivery systems and methodologies on AWS.

·         Understand, implement and automate security controls, governance processes and compliance validation.

·         Define and deploy monitoring, metrics and logging systems on AWS.

·         Implement systems that are highly available, scalable and self-healing on the AWS platform.

·         Design, manage and maintain tools to automate operational processes.

AWS Knowledge and Experience

·         AWS services: compute and networking, storage and content delivery, database, analytics, application services, and deployment and management.

·         At least two years of hands-on experience with production of AWS systems.

·         Effective use of Auto Scaling.

·         Monitoring and logging.

·         AWS security features and best practices.

·         Design of self-healing and fault-tolerant services.

·         Techniques and strategies for maintaining high availability.

General IT Knowledge and Experience

·         Networking concepts.

·         Strong system administration (Linux/UNIX or Windows).

·         Strong scripting skill set.

·         Multitier architectures: load balancers, caching, web servers, application servers, databases and networking.

·         Templates and other configurable items to enable automation.

·         Deployment tools and techniques in a distributed environment.

·         Basic monitoring techniques in a dynamic environment.

AWS Certified Solutions Architect – Professional

Achieving AWS Certified Solutions Architect - Professional certification validates that you have advanced technical skills and experience in designing distributed applications and systems on the AWS platform. It also confirms that you understand the concepts of:

• Designing and deploying dynamically scalable, highly available, fault-tolerant and reliable applications on AWS.
• Selecting appropriate AWS services to design and deploy an application based on given requirements.
• Migrating complex, multitier applications on AWS.
• Designing and deploying enterprise-wide scalable operations on AWS.
• Implementing cost control strategies.

Before attempting the AWS Certified Solutions Architect - Professional exam, you should have the following required knowledge and skills:
AWS Knowledge and Experience

• AWS core services, including Compute and Networking, Storage and CDN, Database, Application Services, Deployment and Management.
• Security features that AWS provides and best practices.
• Ability to design and implement for elasticity and scalability.
• Network technologies as they relate to AWS networking, including DNS and load balancing, Amazon Virtual Private Cloud (VPC) and AWS Direct Connect.
• Storage and archival options.
• State management.
• Database and replication methodologies.
• Self-healing techniques and fault-tolerant services.
• Disaster recovery and failover strategies.
• Application migration plans to AWS.
• Network connectivity options.
• Deployment and management.
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General IT Knowledge and Experience

• Large-scale distributed systems architecture.
• Eventual consistency.
• Relational and non-relational databases.
• Multitier architectures: load balancers, caching, web servers, application servers, networking and databases.
• Loose coupling and stateless systems.
• Content delivery networks.
• System performance tuning.