| Course Name |
Hours |
List Price |
Content |
| Advanced Architecting on AWS |
21.00 |
$2,185.00 |
|
Description: In this course, you will examine available AWS services and features as solutions to the problem. You will gain insights by participating in problem-based discussions and learning about the AWS services that you could apply to meet the challenges. Over 3 days, the course goes beyond the basics of a cloud infrastructure and covers topics to meet a variety of needs for AWS customers. Course modules focus on managing multiple AWS accounts, hybrid connectivity and devices, networking with a focus on AWS Transit Gateway connectivity, container services, automation tools for continuous integration/continuous delivery (CI/CD), security and distributed denial of service (DDoS) protection, data lakes and data stores, edge services, migration options, and managing costs. The course concludes by presenting you with scenarios and challenging you to identify the best solutions.
# of Days:
Setting:
|
| Advanced AWS Well-Architected Best Practices |
7.00 |
$675.00 |
|
Description: In this course, you will cover a deep dive into Amazon Web Services (AWS) best practices to help you perform effective and efficient AWS Well-Architected Framework Reviews. The course covers the phases of a review, including how to prepare, run, and get guidance after a review has been performed. Attendees should have familiarity with the AWS concepts, terminology, services, and tools that are covered in the intermediate, 200-level AWS Well-Architected Best Practices. This course provides an AWS Well-Architected Framework Review simulation and instructor-led group exercises and discussions regarding prioritizing and solutioning risks. The content focuses on teaching learners how to prepare proposals on high and medium risk issues using the AWS Well-Architected Tool.
# of Days:
Setting:
|
| Advanced Developing on AWS |
21.00 |
$2,185.00 |
|
Description: In this course, you will cover the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture. This three-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications, and repackaging them into cloud-based, cloud-native architectures; and applying the tenets of the Twelve-Factor Application methodology.
# of Days:
Setting:
|
| Architecting on AWS |
21.00 |
$2,125.00 |
|
Description: Architecting on AWS covers the fundamentals of building IT infrastructure on AWS. The course is designed to teach solutions architects how to optimize the use of the AWS Cloud by understanding AWS services and how these services fit into cloud-based solutions. This course emphasizes AWS cloud best practices and recommended design patterns to help students think through the process of architecting optimal IT solutions on AWS. Case studies throughout the course showcase how some AWS customers have designed their infrastructures and the strategies and services they implemented. Two FREE trainings are recommended for this course if you are unfamiliar with AWS, plus a FREE whitepaper!
# of Days:
Setting:
|
| AWS Cloud Financial Management for Builders |
21.00 |
$2,125.00 |
|
Description: In this course, you will cover how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect cost-efficient solutions on AWS. This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS.
# of Days:
Setting:
|
| AWS Cloud Practitioner Essentials |
7.00 |
$710.00 |
|
Description: The fundamental-level full day course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. It includes lab exercises reinforcing some of the core concepts of the lecture. This course also helps you prepare for the AWS Certified Cloud Practitioner exam. This course includes AWS Training Exclusives.
Skills Gained
Define what the cloud is and how it works
Differentiate between cloud computing and deployment models
Describe the AWS Cloud value proposition
Describe the basic global infrastructure of the cloud
Compare the different methods of interacting with AWS
Describe and differentiate between AWS service domains
Given a scenario, identify an appropriate solution using AWS Cloud services
Describe the Well-Architected Framework
Describe basic AWS Cloud architectural principles
Explain the Shared Responsibility model
Describe security services with the AWS cloud
Define the billing, account management, and pricing models for the AWS platform
Identify future services and developments built on the cloud
Who Can Benefit
Sales
Legal
Marketing
Business analysts
Project managers
AWS Academy students
Other IT-related professionals
# of Days:
Setting:
|
| AWS Security Essentials |
7.00 |
$710.00 |
|
Description: This course covers fundamental AWS cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. Based on the AWS Shared Security Model, you learn where you are responsible for implementing security in the AWS Cloud and what security-oriented services are available to you and why and how the security services can help meet the security needs of your organization.
Skills Gained
In this course, you will learn how to:
Assimilate Identify security benefits and responsibilities of using the AWS Cloud
Describe the access control and management features of AWS
Explain the available methods for providing encryption of data in transit and data at rest when storing your data in AWS.
Describe how to secure network access to your AWS resources
Determine which AWS services can be used for monitoring and incident response
Who Can Benefit
This course is intended for:
Security IT business-level professionals interested in cloud security practices
Security professionals with minimal to no working knowledge of AWS
# of Days:
Setting:
|
| AWS Technical Essentials |
7.00 |
$710.00 |
|
Description: In this course, you will be introduced to essential AWS services and common solutions. The course covers the fundamental AWS concepts related to compute, database, storage, networking, monitoring, and security. You will start working in AWS through hands-on course experiences. The course covers the concepts necessary to increase your understanding of AWS services, so that you can make informed decisions about solutions that meet business requirements. Throughout the course, you will gain information on how to build, compare, and apply highly available, fault tolerant, scalable, and cost-effective cloud solutions.
# of Days:
Setting:
|
| AWS Well-Architected Best Practices |
7.00 |
$730.00 |
|
Description: In this course, you will cover how the Well-Architected Framework enables you to make informed decisions about your customers architectures in a cloud-native way and understand the impact of design decisions that are made. By using the Well-Architected Framework, you will understand the risks in your architecture and ways to mitigate them. This course is designed to provide a deep dive into the AWS Well-Architected Framework and its 5 pillars. This course also covers the Well-Architected Review process, and using the AWS Well-Architected Tool to complete reviews.
# of Days:
Setting:
|
| Building Batch Data Analytics Solutions on AWS |
7.00 |
$730.00 |
|
Description: In this course, you will cover building batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.
# of Days:
Setting:
|
| Building Data Analytics Solutions using Amazon Redshift |
7.00 |
$730.00 |
|
Description: Learn how to integrate Amazon Redshift with a data lake to support analytics and machine learning workloads to reduce your time to data insight by building a data analytics solution using Amazon Redshift.
# of Days:
Setting:
|
| Building Data Lakes on AWS |
7.00 |
$730.00 |
|
Description: In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.
# of Days:
Setting:
|
| Developing on AWS |
21.00 |
$2,125.00 |
|
Description: In this course, you will cover how to programmatically interact with AWS services to build web solutions. It guides you through a high-level architectural discussion on resource selection and dives deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI) to build and deploy your cloud applications. You will build a sample application during this course, learning how to set up permissions to the development environment, adding business logic to process data using AWS core services, configure user authentications, deploy to AWS cloud, and debug to resolve application issues. The course includes code examples to help you implement the design patterns and solutions discussed in the course. The labs reinforce key course content and help you to implement solutions using the AWS SDK for Python, .Net, and Java, the AWS CLI, and the AWS Management Console.
# of Days:
Setting:
|
| Developing Serverless Solutions on AWS |
21.00 |
$2,185.00 |
|
Description: In this course, you will have exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom.
# of Days:
Setting:
|
| DevOps Engineering on AWS |
21.00 |
$2,185.00 |
|
Description: In this course, you will cover how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organizations ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers Continuous Integration (CI), Continuous Delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.
# of Days:
Setting:
|
| Migrating to AWS |
14.00 |
$2,185.00 |
|
Description: In this course, you will learn about various cloud migration strategies and how to apply each step of the migration process, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization. Hands-on labs reinforce learning, and each lab is designed to provide you with the understanding and foundation necessary to complete migration tasks in your organization.
# of Days:
Setting:
|
| MLOps Engineering on AWS |
21.00 |
$2,230.00 |
|
Description: In this course, you will learn the importance of data, model, and code to successful ML deployments. It will demonstrate the use of tools, automation, processes, and teamwork in addressing the challenges associated with handoffs between data engineers, data scientists, software developers, and operations. The course will also discuss the use of tools and processes to monitor and take action when the model prediction in production starts to drift from agreed-upon key performance indicators. The instructor will encourage the participants in this course to build an MLOps action plan for their organization through daily reflection of lesson and lab content, and through conversations with peers and instructors.
# of Days:
Setting:
|
| Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) |
21.00 |
$2,230.00 |
|
Description: In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment.
# of Days:
Setting:
|
| Security Engineering on AWS |
21.00 |
$2,185.00 |
|
Description: This course demonstrates how to efficiently use AWS security services to stay secure in the AWS Cloud. The course focuses on the security practices that AWS recommends for enhancing the security of your data and systems in the cloud. The course highlights the security features of AWS key services including compute, storage, networking, and database services. You will also learn how to leverage AWS services and tools for automation, continuous monitoring and logging, and responding to security incidents.
Skills Gained
This course teaches you how to:
Assimilate and leverage the AWS shared security responsibility model
Architect and build AWS application infrastructures that are protected against the most common security threats
Protect data at rest and in transit with encryption
Apply security checks and analyses in an automated and reproducible manner
Configure authentication for resources and applications in the AWS Cloud
Gain insight into events by capturing, monitoring, processing, and analyzing logs
Identify and mitigate incoming threats against applications and data
Perform security assessments to ensure that common vulnerabilities are patched and security best practices are applied
Who Can Benefit
This course is intended for:
Security engineers
Security architects
Security operations
Information security
# of Days:
Setting:
|
| Systems Operations on AWS |
21.00 |
$2,125.00 |
|
Description: In this course, you will cover how to install, configure, automate, monitor, secure, maintain and troubleshoot the services, networks, and systems on AWS necessary to support business applications. The course also covers specific AWS features, tools, and best practices related to these functions.
# of Days:
Setting:
|
| The Machine Learning Pipeline on AWS |
28.00 |
$2,970.00 |
|
Description: In this course, you will cover how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Learners with little to no machine learning experience or knowledge will benefit from this course. Basic knowledge of Statistics will be helpful.
# of Days:
Setting:
|
| Architecting on AWS - Accelerator |
35.00 |
$3,150.00 |
|
Description: In this course, you will cover all aspects of how to architect for the cloud over 5 days.
You will learn how to design cloud architectures, starting small and working to large-scale enterprise level designsand everything in between. Starting with the Well Architected Framework, you will be immersed in AWS services like compute, storage, database, networking, security, monitoring, automation, optimization, benefits of de-coupling applications and serverless, building for resilience, and understanding costs. Using hands-on labs, you will apply knowledge from lectures to gain skills. This course combines Architecting on AWS and Advanced Architecting on AWS to offer a comprehensive, immersive course in cloud architecture.
|
| AWS Cloud Essentials for Business Leaders |
4.00 |
$475.00 |
|
Description: In this course, you will cover the fundamental concepts of cloud computing and how a cloud
strategy can help companies meet business objectives. It explores the advantages and possibilities
of cloud computing. It also introduces addresses concepts such as security and compliance to help
facilitate better discussions with line of business (LOB) professionals and executives.
|
| AWS Cloud Essentials for Business Leaders Financial Services |
4.00 |
$475.00 |
|
Description: In this course, you will cover the fundamental concepts of cloud computing and how a cloud strategy can help companies in the financial services industries (FSI) meet business objectives. It explores the advantages and possibilities of cloud computing in banking, insurance, capital markets, payments, and financial technology. The course addresses concepts such as security, fraud detection, analytics, and compliance to help facilitate discussions with line of business (LOB) professionals and executives.
|
| AWS Cloud for Finance Professionals |
14.00 |
$1,470.00 |
|
Description: In this course, you will cover how finance professionals can use Amazon Web Services (AWS) to adopt cloud in a fiscally responsible manner. You will gain foundational knowledge to help you manage, optimize, and plan cloud spend. You will learn how to influence your organizations builders to be more accountable and cost conscious. Finally, you will consider how you can use AWS to innovate in your finance organization.
|
| AWS Security Best Practices |
7.00 |
$730.00 |
|
Description: In this course, you will cover an overview of some of the industry best practices for using AWS security and control types. Currently, the average cost of a security breach can be upwards of 4 million. This course helps you understand your responsibilities while providing valuable guidelines for how to keep your workload safe and secure. You will learn how to secure your network infrastructure using sound design options. You will also learn how you can harden your compute resources and manage them securely. Finally, by understanding AWS monitoring and alerting, you can detect and alert on suspicious events to help you quickly begin the response process in the event of a potential compromise.
|
| AWS Security Governance at Scale |
7.00 |
$730.00 |
|
Description: In this course, you will learn how security is foundational to AWS. Governance at scale is a new concept for automating cloud governance that can help companies retire manual processes in account management, budget enforcement, and security and compliance. By automating common challenges, companies can scale without inhibiting agility, speed, or innovation. In addition, they can provide decision makers with the visibility, control, and governance necessary to protect sensitive data and systems. In this course, you will learn how to facilitate developer speed and agility, and incorporate preventive and detective controls. By the end of this course, you will be able to apply governance best practices.
|
| Data Warehousing on AWS |
21.00 |
$2,185.00 |
|
Description: In this course, you will cover concepts, strategies, and best practices for designing a cloudbased data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data.
|
| Deep Learning on AWS |
7.00 |
$745.00 |
|
Description: In this course, you will cover AWSs deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. Youll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. Youll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS.
|
| Exam Readiness Intensive Workshop: AWS Certified Solutions Architect Associate |
35.00 |
$3,500.00 |
|
Description: In this course, you will cover the fundamentals of building IT infrastructure on AWS, so you can build scalable and resilient solutions in the cloud, by spending the first 3 days on the Architecting on AWS course. Youll start getting in the exam readiness mindset with bonus end of module quizzes. Next, youll learn strategies to answer exam questions and avoid common mistakes with the Exam Readiness: AWS Certified Solutions Architect Associate half-day course. The course broadens attendees knowledge of AWS services with deep dives into Amazon Redshift, Amazon Kinesis, and AWS Key Management Service, and then concludes with two quizzes and an instructor guided review of the AWS Certified Solutions Architect Associate practice exam.
|
| Exam Readiness: AWS Certified Solutions Architect - Associate |
4.00 |
$450.00 |
|
Description: In this course, you will learn how to prepare for the exam by exploring the exams topic areas and how they map to architecting on AWS and to specific areas to study. The AWS Certified Solutions Architect Associate exam validates technical expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. The course reviews sample exam questions in each topic area and teaches you how to interpret the concepts being tested so that you can more easily eliminate incorrect responses.
|
| Planning and Designing Databases on AWS |
21.00 |
$2,185.00 |
|
Description: In this course, you will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon EC2). You will learn about our relational database services including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, and Amazon Redshift. You will also learn about our nonrelational database services including Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB. By the end of this course, you will be familiar with the planning and design requirements of all 8 of these AWS databases services, their pros and cons, and how to know which AWS databases service is right for your workloads.
Skills Gained
Apply database concepts, database management, and data modeling techniques
Evaluate hosting databases on Amazon EC2 instances
Evaluate relational database services (Amazon RDS, Amazon Aurora, and Amazon Redshift) and their features
Evaluate nonrelational database services (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB) and their features
Examine how the design criteria apply to each service
Apply management principles based on the unique features of each service
Who Can Benefit
Data platform engineers, Database administrators, Solutions architects, IT professionals
|
| Practical Data Science with Amazon SageMaker |
7.00 |
$745.00 |
|
Description: In this course, you will cover how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use case includes customer retention analysis to inform customer loyalty programs.
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