AWS Training

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Enable your company’s IT team to operate with Amazon Web Services Cloud Services and make them ready to get AWS certified with beSharp, APN Training Partner.

Cloud technologies substantially impact companies’ business transformation, which happens every day at an ever-faster pace. In such a scenario, the mastery of Amazon Web Services is among the most requested technical skills today.

Since always, beSharp helps its customers design, implement, and manage Cloud infrastructures and services on Amazon Web Services, sharing their wealth of knowledge with them and helping them understand and fully exploit its potential.

AWS professional knowledge is among the most requested technical skills today.

As a team of AWS power users since 2007, our Cloud Experts, have become an international reference point for the most prestigious companies contributing to the realization of thousands of Cloud projects. Also, beSharp’s team is recognized by AWS as one of the teams with the highest number of certifications per capita globally.

For this reason, beSharp has been included by Amazon Web Services in the limited number of APN Training Partners within the APN Training Partner Program.

beSharp’s AWS Authorized Instructor and AWS Authorized Instructor Champion team can deliver the whole official AWS courses catalog to help your company’s IT professionals make the most of the Cloud while preparing for AWS certifications.

beSharp AWS Training

AWS training courses are developed and managed by AWS multi-certified Cloud Experts, to ensure that content reflects the latest best practices.

The classroom training offers participants the opportunity to receive live feedback and answers to questions directly from an expert instructor. The courses also include practical workshops, which allow students to put what they learned into a sandbox into practice, so as to consolidate their knowledge.

The training prepares students to take the AWS certification exams, which validate the technical knowledge and skills acquired.

The training catalog proposed by beSharp includes contents ranging from basic to more advanced ones, and are designed to meet the needs of IT professionals of all levels of experience in different fields, from Cloud migrations to Cloud-native development, from IoT and Big Data to AI / ML projects.

The official AWS courses provided by beSharp are organized exclusively for companies, starting with a minimum number of three attendees from the same company.
  • AWS Foundational
    AWS Foundational courses offer a solid grounding in core AWS services and key Cloud Computing concepts.
  • AWS Technical Essentials

    AWS Technical Essentials introduces you to AWS services and common solutions. It provides you with the fundamental knowledge to become more proficient in identifying AWS services. It helps you make informed decisions about IT solutions based on your business requirements and get started working on AWS.

    Course Objectives
    • Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS
    • Management Console.
    • Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual
    • Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).
    • Understand the security measures AWS provides and key concepts of AWS Identity and Access
    • Management (IAM).
    • Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database
    • Service (RDS).
    • Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic LoadBalancing (ELB), and AWS Trusted Advisor.
    Who should attend
    • Individuals responsible for articulating the technical benefits of AWS services
    • Individuals interested in learning how to get started with using AWS
    • SysOps Administrators, Solution Architects, and Developers interested in using AWS services
    Level
    AWS Foundational
    Duration
    1 Day
    Procedures for carrying out

    Instructor-led training, hands-on labs, and group exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • AWS Associate
    AWS Associate courses empower your IT team to independently design the most common Cloud architectures, based on the AWS best practices.
  • Architecting on AWS

    This course focuses on the fundamentals of building IT infrastructure on the AWS platform. You will learn how to optimize the AWS Cloud by understanding AWS services and how they fit into cloud-based solutions. Best practices and design patterns are covered to help you architect optimal IT solutions on the AWS Cloud. Build and explore a variety of infrastructures through guided discussions and hands-on activity.

    Course Objectives
    • Make architectural decisions based on AWS architectural principles and best practices
    • Leverage AWS services to make your infrastructure scalable, reliable, and highly available
    • Leverage AWS Managed Services to enable greater flexibility and resiliency in an infrastructure
    • Make an infrastructure based on AWS more efficient to increase performance and reduce costs
    • Use the Well-Architected Framework to improve architectures with AWS solutions
    Who should attend
    • Solutions Architects
    • Solution Design Engineers
    • Anyone who needs to understand the scope of cloud architectures
    Level
    AWS Associate
    Duration
    3 days
    Procedures for carrying out

    Instructor-led training, hands-on labs, and group exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Developing on AWS

    Learn how to use the AWS Software Development Kit to develop secure and scalable cloud applications. You will be able to set up AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript. Explore how to interact with AWS services, and develop solutions by using the AWS SDK. Also learn about key concepts, best practices, and troubleshooting tips.

    Course Objectives
    • Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript
    • Interact with AWS services and develop solutions by using the AWS SDK
    • Use AWS Identity and Access Management (IAM) for service authentication
    • Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores
    • Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue
    • Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions
    • Use Amazon Cognito for user authentication
    • Use Amazon ElastiCache to improve application scalability
    • Use containers in the development process
    • Leverage the CI/CD pipeline to deploy applications on AWS
    Who should attend
    • Intermediate-level software developers
    Level
    AWS Associate
    Duration
    3 Days
    Procedures for carrying out

    Instructor-led training, hands-on labs, and demonstrations

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Systems Operations on AWS

    This course teaches systems operators and anyone performing system operations functions 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.

    Course Objectives
    • Recognize the AWS services that support the different phases of Operational Excellence, a Well-Architected Framework pillar.
    • Manage access to AWS resources using AWS Accounts and Organizations and AWS Identity and Access Management (IAM).
    • Maintain an inventory of in-use AWS resources using AWS services such as AWS Systems Manager, AWS CloudTrail, and AWS Config.
    • Develop a resource deployment strategy utilizing metadata tags, Amazon Machine Images, and Control tower to deploy and maintain an AWS cloud environment.
    • Automate resource deployment using AWS services such as AWS CloudFormation and AWS Service Catalog.
    • Use AWS services to manage AWS resources through SysOps lifecycle processes such as deployments and patches.
    • Configure a highly available cloud environment that leverages AWS services such as Amazon Route 53 and Elastic Load Balancing to route traffic for optimal latency and performance.
    • Configure AWS Auto Scaling and Amazon Elastic Compute Cloud auto-scaling to scale your cloud environment based on demand.
    • Use Amazon CloudWatch and associated features such as alarms, dashboards, and widgets to monitor your cloud environment.
    • Manage permissions and track activity in your cloud environment using AWS services such as AWS CloudTrail and AWS Config.
    • Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service.
    • State the purpose, benefits, and appropriate use cases for mountable storage in your AWS cloud environment.
    • Explain the operational characteristics of object storage in the AWS cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier.
    • Build a comprehensive costing model to help gather, optimize, and predict your cloud costs using services such as AWS Cost Explorer and the AWS Cost & Usage Report.
    Who should attend
    • System administrators and operators who are operating in the AWS Cloud
    • Informational technology workers who want to increase their system operations knowledge.
    Level
    AWS Associate
    Duration
    3 Days
    Procedures for carrying out

    Instructor-led training, hands-on labs, and group exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • AWS Professional
    AWS Professional courses allow technicians who are already familiar with all the key concepts of Amazon Web Services and who own experience in the creation of Cloud infrastructures to increase their skills for the build of complex infrastructures.
  • Advanced Architecting on AWS

    By taking further all the concepts introduced in the Architecting on AWS course, Advanced Architecting on AWS allows your team to improve the skills necessary to build complex solutions based on specific services such as AWS Direct Connect and AWS Storage Gateway. It also helps your team to easily follow best practices for building scalable, resilient, secure, and highly available applications on AWS.

    Course Objectives
    • Apply the AWS Well-Architected Framework
    • Manage multiple AWS accounts for your organization
    • Connect an on-premises data center to the AWS Cloud
    • Move data from an on-premises data center to AWS
    • Design large data stores for the AWS Cloud
    • Understand different architectural designs for scalability
    • Protect your infrastructure from a DDoS attack
    • Secure your data on AWS with encryption
    • Enhance the performance of your solutions
    • Select the most appropriate AWS deployment mechanism
    Who should attend
    • Solutions Architects
    Level
    AWS Professional
    Duration
    3 Days
    Procedures for carrying out

    Instructor-led training, hands-on labs, and group exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Advanced Developing on AWS

    The Advanced Developing on AWS course uses 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.

    Course Objectives
    • Analyze a monolithic application based architecture to determine logical or programmatic breakpoints where the application can be broken up across different AWS services
    • Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic
      architecture
    • Recommend the appropriate AWS services to develop a microservices based cloud-native application
    • Use the AWS API, CLI, and SDKs to monitor and manage AWS services
    • Migrate a monolithic application to a microservices application using the 6 Rs of migration
    • Explain the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS
    Who should attend

    Experienced software developers who are already familiar with AWS services

    Level
    AWS Professional
    Duration
    3 Days
    Procedures for carrying out

    Instructor-led training, hands-on labs, and group exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Architecting on AWS – Accelerator

    This course covers all aspects of how to architect for the cloud over four-and-a-half days. It covers topics from Architecting on AWS and Advanced Architecting on AWS to offer an immersive course in cloud architecture.

    Course Objectives
    • Make architectural decisions based on AWS architectural principles and best practices
    • Use AWS services to make your infrastructure scalable, reliable, and highly available
    • Use AWS Managed Services to enable greater flexibility and resiliency in an infrastructure
    • Make an AWS-based infrastructure more efficient to increase performance and reduce costs
    • Use the Well-Architected Framework to improve architectures with AWS solutions
    Who should attend
    • Solutions Architects who are new to designing and building cloud architectures
    • Data Center Architects who are migrating from an on-premises environment to cloud architectures
    • Other IT/cloud roles who want to understand how to design and build cloud architectures
    Level
    AWS Professional
    Duration
    4,5 Days
    Procedures for carrying out

    Instructor-led training, hands-on labs, and group exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • DevOps Engineering on AWS

    DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s 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.

    Course Objectives
    • Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS
    • List the advantages, roles, and responsibilities of small autonomous DevOps teams
    • Design and implement an infrastructure on AWS that supports DevOps development projects
    • Leverage AWS Cloud9 to write, run and debug your code
    • Deploy various environments with AWS CloudFormation
    • Host secure, highly scalable, and private Git repositories with AWS CodeCommit
    • Integrate Git repositories into CI/CD pipelines
    • Automate build, test, and packaging code with AWS CodeBuild
    • Securely store and leverage Docker images and integrate them into your CI/CD pipelines
    • Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications
    • Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
    • Integrate testing and security into CI/CD pipelines
    • Monitor applications and environments using AWS tools and technologies
    Who should attend
    • DevOps engineer
    • DevOps architect
    • Operations engineer
    • System administrator
    • Developer
    Level
    AWS Professional
    Duration
    3 Days
    Procedures for carrying out

    Instructor-led training, hands-on labs, demonstrations, and group 3 days exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • AWS Specialty
    AWS Specialty courses are designed for those who want to become Amazon Web Services specialists. They allow your IT team to reach the highest level of knowledge on extremely specific technical topics in the AWS Cloud environment by offering specific knowledge and ready-to-use skills on the most requested areas of application.
  • Data Warehousing on AWS

    Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based 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.

    Course Objectives
    • Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions
    • Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud
    • Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution
    • Architect the data warehouse
    • Identify performance issues, optimize queries, and tune the database for better performance
    • Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket
    • Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse
    Who should attend
    • Database Architects
    • Database Administrators
    • Database Developers
    • Data Analysts
    • Data Scientists
    Level
    AWS Specialty
    Duration
    3 Days
    Procedures for carrying out

    Instructor-led training, hands-on labs and group exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Deep Learning on AWS

    In this course, you’ll learn about AWS’s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You’ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You’ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS.

    Course Objectives
    • Define machine learning (ML) and deep learning
    • Identify the concepts in a deep learning ecosystem
    • Use Amazon SageMaker and the MXNet programming framework for deep learning workloads
    • Fit AWS solutions for deep learning deployments
    Who should attend
    • Developers who are responsible for developing deep learning applications
    • Developers who want to understand the concepts behind deep learning and how to implement a deep learning solution on AWS Cloud
    Level
    AWS Specialty
    Duration
    1 Day
    Procedures for carrying out

    Instructor-led training, hands-on labs, and group exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Planning and Designing Databases on AWS

    In this course, you will learn about the process of planning and designing both relational and nonrelational AWS databases. It will teach you how to use workload requirements to define database design considerations and also explore the features and capabilities of the eight AWS database services. By the end of the course, you will be able to determine which AWS database service is right for your workloads and design the database to meet your requirements.

    Course Objectives
    • Apply database concepts, database management, and data modeling techniques
    • Evaluate hosting databases on Amazon EC2 instances
    • Evaluate relational AWS database services and their features (Amazon RDS, Amazon Aurora, and Amazon Redshift)
    • Evaluate nonrelational AWS database services and their features (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB)
    • Examine how the design criteria apply to each service
    • Apply management principles based on the unique features of each service
    Who should attend
    • Data Engineers who are new to designing cloud databases or nonrelational databases
    • Solutions Architects who are designing services or architectures that are integrated with databases
    • Developers that are building cloud database-enabled applications
    Level
    AWS Specialty
    Duration
    3 Days
    Procedures for carrying out

    Instructor-led training, hands-on labs, and group exercises

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Exam Readiness
  • Exam Readiness AWS Certified Solutions Architect – Associate

    The AWS Certified Solutions Architect – Associate exam validates technical expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. Join this half-day, intermediate-level training to learn how to prepare for the exam by exploring the exam’s topic areas and how they map to architecting on AWS and to specific areas to study. 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.

    Course Objectives
    • Navigate the logistics of the examination process
    • Understand the exam structure and question types
    • Identify how questions relate to AWS architectural concepts
    • Interpret the concepts being tested by an exam question
    • Allocate your time studying for the AWS Certified Solutions Architect – Associate exam
    Who should attend
    • Solutions architects who are preparing to take the AWS Certified Solutions Architect – Associate exam
    Level
    Exam Readiness
    Duration
    Half Day
    Procedures for carrying out

    Instructor-led training, group discussion, and sample exercise questions.

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Exam Readiness AWS SysOps Administrator – Associate

    The AWS Certified SysOps Administrator – Associate exam validates technical expertise in deployment, management, security, and operations on the AWS platform. Join this intermediate-level course to learn how to prepare for the exam by exploring the exam’s topic areas and how they map to SysOps on AWS and to specific areas to study. 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.

    Course Objectives
    • Understand the exam structure and question types.
    • Identify how questions relate to AWS SysOps concepts.
    • Interpret the concepts being tested by an exam question.
    • Allocate your time studying for the AWS Certified SysOps Administrator – Associate exam
    Who should attend
    • Systems administrators, operators, or anyone preparing to take the AWS Certified SysOps Administrator – Associate exam
    Level
    Exam Readiness
    Duration
    4 Hours
    Procedures for carrying out

    Instructor-led training, group discussion, and sample exercise questions.

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Exam Readiness Intensive Workshop: AWS Certified Solutions Architect – Associate

    This five-day, instructor-led course helps busy architects get away from the day-to-day to get focused and ready for their AWS Certified Solutions Architect – Associate exam. Attendees learn the fundamentals of building IT infrastructure on AWS, so they can build scalable and resilient solutions in the cloud, by spending the first 3 days on the Architecting on AWS course. They’ll start getting in the exam readiness mindset with bonus end-of-module quizzes. Next, they’ll 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.

    Course Objectives
    • Make architectural decisions based on AWS architectural principles and best practices
    • Leverage AWS services to make your infrastructure scalable, reliable, and highly available
    • Leverage AWS Managed Services to enable greater flexibility and resiliency in an infrastructure
    • Make an AWS-based infrastructure more efficient to increase performance and reduce costs
    • Use the Well-Architected Framework to improve architectures with AWS solutions
    • Navigate the logistics of the examination process, exam structure, and question types
    • Identify how questions relate to AWS architectural concepts
    • Interpret the concepts being tested by an exam question
    Who should attend
    • Solutions architects and cloud architects seeking their AWS Certified Solutions Architect – Associate certification
    • Customers and APN Partners who have 6 to 12 months of experience with AWS including a strong architecture background and experience
    • Individuals who prefer an instructor-led course for training and exam readiness
    • Individuals who have not taken the Architecting on AWS course in the last ~6 months
    Level
    Exam Readiness
    Duration
    5 Days
    Procedures for carrying out

    Instructor-led training, group discussion, and sample exercise questions.

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Exam Readiness: AWS Certified Data Analytics – Specialty

    This course prepares you to take the AWS Certified Data Analytics – Specialty exam, which validates your ability to design, implement, deploy, and maintain data analytic solutions.

    In this course, you’ll learn about the logistics of the exam and the mechanics of exam questions, and you’ll explore the exam’s technical domains. You’ll review core AWS services and key concepts for the exam domains.

    Course Objectives
    • Identify your strengths and weaknesses in each exam domain so that you know what to focus on when studying for the exam
    • Describe the technical topics and concepts that make up each of the exam domains
    • Summarize the logistics and mechanics of the exam and its questions
    • Use effective strategies for studying and taking the exam
    Who should attend
    • IT professional
    • Data platform engineer/data architect
    • Data scientist
    • Data analyst
    Level
    Exam Readiness
    Duration
    1 Day
    Procedures for carrying out

    Instructor-led training, group discussion, and sample exercise questions.

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Exam Readiness: AWS Certified Developer – Associate

    The AWS Certified Developer – Associate exam validates technical expertise in developing and maintaining applications on the AWS platform. In this half-day, intermediate-level course, learn how to prepare for the exam by exploring the exam’s topic areas, mapping them to developing on AWS, and identifying specific areas to study. You will review sample exam questions in each topic area and learn how to interpret the concepts being tested so that you can better eliminate incorrect responses.

    Course Objectives
    • Understand the exam structure and question types
    • Identify questions that relate to AWS development concepts
    • Interpret the concepts being tested by an exam question
    • Allocate your time studying for the exam
    Who should attend

    Developers who are preparing to take the AWS Certified Developer – Associate exam

    Level
    Exam Readiness
    Duration
    4 Hours
    Procedures for carrying out

    Instructor-led training, group discussion, and sample exercise questions.

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Exam Readiness: AWS Certified DevOps Engineer – Professional

    The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. Join this full-day, advanced-level course to learn how to prepare for the exam by exploring the exam’s topic areas and how they map to DevOps on AWS and to specific areas to study. We will review sample exam questions in each topic area and teach you how to interpret the concepts being tested so that you can more easily eliminate incorrect responses. This course covers the core principles of the DevOps methodology.

    Course Objectives
    • Prepare for the AWS Certified DevOps Engineer – Professional exam
    • Implement and manage continuous delivery systems and methodologies on AWS
    • 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
    Who should attend
    • DevOps engineers
    • Solution architects
    • Systems administrators
    • Individuals preparing for their AWS Certified DevOps Engineer – Professional certification exam
    Level
    Exam Readiness
    Duration
    1 Day
    Procedures for carrying out

    Instructor-led training, group discussion, and sample exercise questions.

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Exam Readiness: AWS Certified Machine Learning - Specialty

    The AWS Certified Machine Learning – Specialty exam validates your ability to design, implement, deploy, and maintain Machine Learning (ML) solutions for given business problems. Join this half-day, intermediate-level training to learn how to prepare for the exam by exploring the exam’s topic areas including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. The course reviews how to interpret exam questions in each topic area and teaches you how to apply the concepts being tested so that you can more easily eliminate incorrect responses.

    Course Objectives
    • Navigate the logistics of the examination process
    • Understand the exam structure and question types
    • Identify how questions relate to AWS Machine Learning concepts
    • Interpret the concepts being tested by the exam question
    • Allocate your time studying for the AWS Certified Machine Learning – Specialty exam
    Who should attend
    • Machine learning practitioners who are preparing to take the AWS Certified Machine Learning – Specialty exam
    Level
    Exam Readiness
    Duration
    4 Hours
    Procedures for carrying out

    Instructor-led training, question walkthrough, and quizzes

    Get information about this course

    • Please enter a number greater than or equal to 3.
  • Exam Readiness: AWS Certified Solutions Architect – Professional

    The AWS Certified Solutions Architect – Professional exam validates advanced technical skills and experience in designing distributed applications and systems on the AWS platform. The workshop explores the exam’s topic areas, shows how they relate to architecting on AWS and maps them to specific areas for future self-study. It includes sample exam questions from each domain and discussions of concepts being tested to help test-takers better eliminate incorrect responses.

    Course Objectives
    • Navigate the logistics of the examination process
    • Understand the exam structure and question types
    • Identify how questions relate to AWS architectural concepts
    • Interpret the concepts being tested by exam questions
    • Allocate time spent preparing for the AWS Certified Solutions Architect Professional exam
    Who should attend
    • Solutions architects preparing to take the AWS Certified Solutions Architect – Professional exam
    Level
    Exam Readiness
    Duration
    1 Day
    Procedures for carrying out

    Instructor-led training, group discussion, and sample exercise questions.

    Get information about this course

    • Please enter a number greater than or equal to 3.

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