Building Microservices on AWS Cloud9 Training Course

This instructor-led, live training in India (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 India (online or onsite) is designed for beginner 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.

This instructor-led, live training in India (online or onsite) is aimed at cloud engineers wishing to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to take an exam. This is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.

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

• Design complex cloud solutions on AWS.
• Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
• 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 India (online or onsite) is designed for intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.

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

• Grasp the AI/ML services offered by AWS.
• Set up and manage AI/ML environments on AWS.
• Gain practical experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to leverage various AWS AI services for specific use cases.

The on-demand AWS Architect Certification training course is crafted to empower professionals to leverage Amazon Web Services for cloud enablement. Delivered through real-world examples, this course enables participants to grasp the practical application of core 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, learners will be equipped to deploy their own cloud-based implementations using services such as EC2 instances and S3 buckets.

AWS, short for Amazon Web Services, is a comprehensive cloud platform that provides compute, storage, database, networking, analytics, and managed services. These capabilities empower organizations to construct scalable and cost-efficient solutions.

This instructor-led live training, available both online and on-site, is designed for beginner to intermediate business and technical stakeholders. It aims to help participants understand fundamental AWS services, the value proposition of cloud computing, cost models, essential security concepts, and how to align AWS capabilities with organizational goals.

Upon completing this training, participants will be equipped to:

• Describe core AWS services and common cloud architecture patterns.
• Evaluate the business benefits and cost implications of migrating workloads to AWS.
• Select suitable AWS services for typical business challenges across compute, storage, databases, networking, and analytics.
• Identify fundamental security, compliance, and governance aspects within the AWS cloud environment.
• Draft a basic migration or cloud adoption plan, considering high-level costs and risks.

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 reach out to us to make arrangements.

This instructor-led, live training in India (online or onsite) is designed for 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:

• Comprehend the AWS Cloud9 environment and its key components.
• Configure their own AWS Cloud9 development workspace.
• Develop and execute simple applications within AWS Cloud9.
• Become familiar with the collaboration capabilities of AWS Cloud9.

This instructor-led, live training in India (available online or onsite) is designed for intermediate-level data scientists and analysts who wish to use AWS Cloud9 to streamline their 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 such as S3, RDS, and Redshift.
• Use AWS Cloud9 for developing and deploying machine learning models.
• Optimize cloud-based workflows for data analysis and processing.

This instructor-led, live training in India (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.

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

Upon completing this training, participants will be equipped to build an IoT platform that covers the deployment and management of a backend, gateway, and devices on AWS.

This instructor-led live training in India (online or on-site) is designed for 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 India (onsite or remote) is aimed at developers who wish 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 and 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 different event sources.
• Package, deploy, monitor and troubleshoot Lambda based applications.

This instructor-led, live training in India (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 India (online or onsite) is designed for intermediate-level professionals who wish to acquire the skills 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 fundamental functions.
• Exploring the concepts of "Things" and "Sensors," the essence of the Internet of Things, and aligning business processes with IoT solutions.
• Comprehensive look at IoT software components: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Core IoT capabilities: Fleet management, data visualization, SaaS-based FM and DV, alerting mechanisms, sensor and "thing" onboarding, and geo-fencing.
• Foundational principles of IoT device-to-cloud communication via MQTT.
• Connecting IoT devices to AWS using MQTT through AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for data storage.
• Establishing seamless data communication by connecting a Raspberry Pi to AWS IoT Core.
• Practical lab session: Constructing a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and communicating via web interfaces.