AWS Architect Certification Training Course

This instructor-led, live training in Bulgaria (online or onsite) is aimed at beginner-level to intermediate-level system administrators and IT professionals who wish to gain hands-on experience in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam.

By the end of this training, participants will be able to:

• Set up and configure AWS services and resources securely.
• Manage user identities, permissions, and access to AWS resources.
• Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
• Implement and manage data flow to and from AWS.
• Optimize AWS service usage to ensure efficient operation and cost management.

Advanced AWS Architecture encompasses the design, configuration, and deployment of enterprise-grade infrastructure and applications on the AWS platform.

This instructor-led live training, available online or onsite, is designed for cloud engineers who wish to master and implement complex aspects of AWS architecture. While it covers topics similar to those found in AWS Certified Solutions Architect (Professional) level courses, this program does not aim to prepare participants for the certification exam. Instead, it offers a practical, hands-on experience, demonstrating how to execute the configurations, implementations, and deployments that an AWS Solutions Architect would manage, within a live lab environment.

Upon completion of this training, participants will be able to:

• Design sophisticated cloud solutions on AWS.
• Deploy scalable, highly available, and fault-tolerant software applications on AWS.
• Select and integrate the most suitable AWS services for their applications.
• Migrate complex software applications to AWS.
• Apply industry best practices for the design, implementation, optimization, and deployment of infrastructure and applications on AWS.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live lab environment.

Customization Options

• To request custom training for this course, please contact us to make arrangements.

This instructor-led live training in Bulgaria (online or onsite) is designed for intermediate-level IT professionals who want to learn how to leverage AWS tools and services to efficiently build, train, and deploy AI models.

By the end of this training, participants will be able to:

• Understand the AI/ML services provided by AWS.
• Set up and manage AI/ML environments on AWS.
• Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to utilize various AWS AI services for specific use cases.

AWS, or Amazon Web Services, is a comprehensive cloud platform that provides compute, storage, database, networking, analytics, and managed services, enabling organizations to develop scalable and cost-effective solutions.

This instructor-led live training, available online or onsite, targets beginner to intermediate business and technical stakeholders who want to grasp core AWS services, cloud value propositions, cost models, security fundamentals, and how to align AWS capabilities with organizational goals.

Upon completing this training, participants will be able to:

• Explain core AWS services and common cloud architectures.
• Evaluate the business benefits and cost models associated with migrating workloads to AWS.
• Identify suitable AWS services for common business challenges in compute, storage, databases, networking, and analytics.
• Recognize fundamental security, compliance, and governance considerations within the AWS cloud.
• Outline a simple migration or cloud adoption plan including high-level cost and risk assessments.

Course Format

• Interactive lectures and discussions.
• Instructor-led demonstrations within the AWS console.
• Group exercises and scenario-based workshops.

Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at beginner-level developers who wish to set up and use AWS Cloud9 for cloud-based projects.

By the end of this training, participants will be able to:

• Understand the AWS Cloud9 environment and its components.
• Set up their own AWS Cloud9 development workspace.
• Develop and run simple applications within AWS Cloud9.
• Familiarize themselves with the collaboration features of AWS Cloud9.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

By the end of this training, participants will be able to:

• Set up a data science environment in AWS Cloud9.
• Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
• Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
• Utilize AWS Cloud9 for machine learning model development and deployment.
• Optimize cloud-based workflows for data analysis and processing.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and features.
• Write, debug, and deploy Python applications in AWS Cloud9.
• Collaborate with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployments.

"AWS Cloud Practitioner Essentials" is a foundational course designed to give participants a broad understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand AWS at a conceptual level and build a solid foundation for future AWS learning or certification.

By the end of this training, participants will be able to:

• Describe the basic global infrastructure of the AWS Cloud.
• Explain key AWS services and their common use cases.
• Understand cloud security and compliance within AWS.
• Navigate pricing models and support plans.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of AWS Console in guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request a customized training for this course based on your organization’s learning goals or cloud strategy, please contact us to arrange.

This workshop equips candidates for the AWS Certified Solutions Architect certification by aligning exam objectives with practical expertise and real-world applications.

Delivered by an expert instructor through live sessions (either online or in-person), this training is designed for intermediate to advanced cloud professionals looking to solidify their architectural knowledge, practice exam-style questions, and gain confidence for their certification.

Upon completion of this training, participants will be able to:

• Correlate AWS services and architectural patterns with specific exam domains and objectives.
• Design architectures on AWS that are resilient, high-performing, secure, and cost-effective.
• Apply best practices from the Well-Architected Framework to practical situations.
• Strategically approach and solve multiple-choice and scenario-based exam questions.
• Identify personal knowledge gaps and develop a targeted preparation plan for the certification exam.

Course Format

• Interactive lectures and alignment of content with the official exam blueprint.
• Guided architecture design exercises and hands-on lab demonstrations.
• Timed practice exams, detailed question reviews, and test-taking strategies.

Customization Options

• For personalized training arrangements for this course, please contact us.

This four-day program is designed to equip participants with:

• A solid grasp of core AWS services, their applications, and fundamental architectural best practices.
• The skills necessary to design, develop, and deploy cloud solutions utilizing AWS.
• Practical experience in developing and maintaining applications leveraging Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.

Target Audience:

Cloud engineers, members of Center of Excellence teams, Windows Server administrators, Unix/Linux administrators, Storage administrators, Network administrators, and Virtualization administrators.

Upon completing this training program, participants will be capable of deploying and utilizing AWS services from a developer's perspective.

This instructor-led, live training in Bulgaria (onsite or remote) is designed for engineers who want to deploy and manage IoT devices on AWS.

Upon completion of this training, participants will be equipped to construct an IoT platform encompassing the deployment and management of a backend, gateway, and devices on the AWS infrastructure.

This instructor-led, live training in Bulgaria (onsite or remote) is designed for developers who want to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs, containers, availability, scalability, storage, etc.).

By the end of this training, participants will be able to:

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload, and execute AWS Lambda functions.
• Integrate Lambda functions with various event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in Bulgaria (online or onsite) targets advanced professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Bulgaria (online or onsite) is designed for intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

By the end of this training, participants will be able to:

• Understand the fundamentals of serverless architecture.
• Set up AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for performance and cost efficiency.

Summary:

• Gaining a clear understanding of IoT architecture and its essential functions.
• Exploring the concepts of connected "Things" and sensors, understanding how the Internet of Things operates, and aligning business needs with appropriate IoT solutions.
• Receiving a comprehensive breakdown of IoT software layers, including hardware, firmware, middleware, cloud infrastructure, and mobile interfaces.
• Examining critical IoT capabilities such as fleet management, data visualization, SaaS-based facility and data visualization, alert mechanisms, device onboarding, and geo-fencing.
• Mastering the fundamentals of device-to-cloud communication using the MQTT protocol.
• Learning how to connect IoT devices to AWS via MQTT, utilizing AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for efficient data storage.
• Establishing connectivity between a Raspberry Pi and AWS IoT Core to enable seamless data exchange.
• Participating in a practical lab session: constructing a smart device using a Raspberry Pi paired with AWS IoT Core.
• Visualizing sensor data and managing communication through a web interface.