AWS: A Hands-on Introduction to Cloud Computing Training Course

This instructor-led, live training in Kenya (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 Kenya (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 Kenya (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 Kenya (online or on-site) 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.

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.

This on-demand AWS Architect Certification training course is designed to empower professionals to leverage Amazon Web Services for cloud-enabled solutions. Delivered through real-life examples, the course helps participants grasp the practical application of key concepts including the fundamentals of cloud computing, 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, participants will be equipped to implement their own cloud solutions using resources such as EC2 instances and S3 buckets.

AWS, or 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 training, available either online or onsite, is designed for beginner to intermediate business and technical stakeholders. It aims to clarify core AWS services, the value propositions of cloud computing, cost models, fundamental security principles, and how to align AWS capabilities with organizational goals.

Upon completing this training, participants will be capable of:

• Explaining core AWS services and common cloud architectures.
• Evaluating the business benefits and cost models associated with migrating workloads to AWS.
• Identifying suitable AWS services for typical business challenges, including compute, storage, databases, networking, and analytics.
• Recognizing fundamental security, compliance, and governance aspects within the AWS cloud environment.
• Outlining a basic migration or cloud adoption plan that considers high-level costs and risks.

Course Format

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

Course Customization Options

• For those interested in a customized version of this course, please reach out to us to make arrangements.

This instructor-led, live training in Kenya (online or onsite) is designed for beginner-level developers who want 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 Kenya (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 Kenya (online or onsite) targets intermediate Python developers seeking to improve their development experience with AWS Cloud9.

By the conclusion 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 Kenya (onsite or remote) is designed for engineers looking to deploy and manage IoT devices on AWS.

Upon completion of this training, participants will be equipped to construct an IoT platform that encompasses the deployment and management of a backend, gateway, and devices within the AWS ecosystem.

This instructor-led, live training in Kenya (online or onsite) 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 Kenya (onsite or remote) targets 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 Kenya (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 Kenya (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 a clear understanding of IoT architecture and its core operational functions.
• Exploring the concepts of "Things" and "Sensors," the Internet of Things ecosystem, and how to map business requirements to effective IoT solutions.
• Reviewing the comprehensive IoT software stack: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Examining critical IoT functions such as fleet management, data visualization, SaaS-based Facility Management and Data Visualization, alerting systems, sensor and "thing" onboarding, and geo-fencing.
• Mastering the fundamentals of IoT device-to-cloud communication via MQTT.
• Connecting IoT devices to AWS infrastructure using MQTT and AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for robust data storage.
• Establishing seamless data communication between a Raspberry Pi and AWS IoT Core.
• Engaging in hands-on lab exercises to construct a smart device utilizing Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and facilitating communication through web interfaces.