Building Microservices on AWS Cloud9 Training Course

This instructor-led, live training in South Africa (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 South Africa (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.

This instructor-led, live training in South Africa (online or onsite) targets cloud engineers who wish 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 South Africa (online or onsite) is aimed at intermediate-level IT professionals who wish 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.

AWS, or Amazon Web Services, is a comprehensive cloud computing platform that provides essential services such as compute power, storage, databases, networking, analytics, and managed solutions. These tools empower organisations to develop scalable and cost-effective IT solutions.

This instructor-led training, available either online or onsite, is designed for beginner to intermediate business and technical stakeholders. It aims to help participants understand core AWS services, the value propositions of cloud computing, cost models, fundamental security principles, and how to align AWS capabilities with organisational goals.

Upon completion of 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, including compute, storage, databases, networking, and analytics.
• Recognise fundamental security, compliance, and governance considerations within the AWS cloud.
• Outline a basic migration or cloud adoption plan, taking into account high-level costs and risks.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in South Africa (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.
• Familiarise themselves with the collaboration features of AWS Cloud9.

This instructor-led, live training in South Africa (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 South Africa (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 in South Africa (online or onsite) targets beginner to intermediate-level IT professionals who wish to obtain the knowledge and skills required to secure Amazon Web Services (AWS) environments effectively.

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

• Understand the fundamental concepts of AWS Cloud Security and its significance within a cloud environment.
• Implement robust access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
• Define and enforce security policies and monitor AWS resources.

This instructor-led, live training in South Africa (on-site 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 South Africa (online or onsite) is targeted 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 South Africa (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 South Africa (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 South Africa (online or onsite) targets 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 an understanding of IoT architecture and its fundamental functions.
• Examining the notions of 'Things' and 'Sensors', the broader context of the Internet of Things, and aligning business processes with IoT solutions.
• Providing a thorough overview of IoT software components, encompassing hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Highlighting key IoT functionalities such as fleet management, data visualization, Software-as-a-Service (SaaS) for fleet and data visualization, alerting and alarm systems, sensor and device onboarding, and geo-fencing.
• Exploring the basics 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.
• Linking a Raspberry Pi to AWS IoT Core to enable seamless data exchange.
• Participating in a hands-on laboratory session: constructing a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and managing communication through web interfaces.