Amazon Web Services (AWS) SageMaker Training Course

This instructor-led live training in Serbia (available online or onsite) is aimed at developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications and/or mobile applications.

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

Upon completion of this training, participants will be capable of:

• Securely setting up and configuring AWS services and resources.
• Managing user identities, permissions, and access controls for AWS resources.
• Designing and deploying scalable, highly available, and fault-tolerant systems within AWS.
• Implementing and managing data flow to and from AWS.
• Optimizing AWS service usage to ensure efficient operation and effective cost management.

This instructor-led live training in Serbia (online or onsite) is tailored for cloud engineers seeking to understand and implement the more complex aspects of AWS architecture. The course covers topics similar to those in AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT designed to prepare participants for an exam. It is a hands-on, practical course demonstrating how to implement various configurations, implementations, and deployments in a live lab environment, reflecting the work of an AWS Solutions Architect.

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

• Design complex cloud solutions on AWS.
• Deploy scalable, highly available, and fault-tolerant software applications on AWS.
• Integrate the most appropriate AWS services with an application.
• Migrate a complex software application to AWS.
• Apply best practices to the design, implementation, optimization, and deployment of infrastructure and applications on AWS.

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

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

• Understand the AI/ML services provided by AWS.
• Be able to 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.

This on-demand AWS Architect Certification training program is tailored to empower professionals with cloud expertise through Amazon Web Services. Delivered using real-world scenarios, the course enables participants to grasp the practical implementation of key concepts, including cloud computing fundamentals, Amazon Web Services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Private Clouds, and cloud programming. Upon completion, attendees will be equipped to build their own cloud implementations using services such as EC2 instances and S3 buckets.

AWS (Amazon Web Services) is a robust cloud computing platform providing a broad suite of services including compute, storage, databases, networking, analytics, and managed solutions. These tools empower organizations to develop scalable and cost-efficient architectures.

This live, instructor-led training, available either online or onsite, is designed for business and technical stakeholders at the beginner to intermediate level. The course aims to deepen understanding of core AWS services, the strategic value of cloud computing, cost structures, fundamental security practices, and methods for aligning AWS capabilities with organizational goals.

Upon completion of this training, participants will be capable of:

• Describing key AWS services and typical cloud architectures.
• Evaluating the business advantages and financial models associated with migrating workloads to AWS.
• Selecting suitable AWS services for common business challenges across compute, storage, databases, networking, and analytics.
• Understanding fundamental security, compliance, and governance frameworks within the AWS cloud.
• Drafting a high-level cloud adoption or migration plan that considers cost and risk factors.

Course Format

• Interactive lectures and discussions.
• Live demonstrations by the instructor using the AWS console.
• Collaborative group exercises and scenario-based workshops.

Customization Options

• For customized training arrangements, please contact us.

This instructor-led live training in Serbia (online or onsite) is designed for beginner-level developers who want to configure and utilize AWS Cloud9 for cloud-based initiatives.

Upon completing this training, participants will be able to:

• Gain a comprehensive understanding of the AWS Cloud9 environment and its core components.
• Establish their own AWS Cloud9 development workspace.
• Create and execute basic applications within the AWS Cloud9 platform.
• Familiarize themselves with the collaborative tools provided by AWS Cloud9.

This instructor-led, live training in Serbia (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, conducted Serbia (online or onsite), is designed for intermediate-level Python developers aiming to enhance their development experience with 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.

This instructor-led, live training in Serbia (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS.

By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.

This instructor-led live training in Serbia (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

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

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 different event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in Serbia (online or onsite) is aimed at advanced-level 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 Serbia (online or onsite) is designed for intermediate-level professionals who want 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:

• Gain insight into IoT architecture and its fundamental operations.
• Examine the concepts of "Things" and "Sensors," explore the Internet of Things ecosystem, and learn how to map business requirements to IoT solutions.
• Review the comprehensive software stack for IoT, including hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Explore core IoT capabilities such as fleet management, data visualization, SaaS-based facility management, alert systems, sensor onboarding, and geo-fencing.
• Master the basics of IoT device-to-cloud communication using the MQTT protocol.
• Learn to connect IoT devices to AWS using MQTT via AWS IoT Core.
• Integrate AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for data storage.
• Establish seamless data communication between a Raspberry Pi and AWS IoT Core.
• Participate in a hands-on lab to construct a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualize sensor data and manage communication through web interfaces.