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

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.

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

This instructor-led live training (available online or onsite) is designed for cloud engineers looking to comprehend and execute the more intricate elements of AWS architecture. While the course shares many topics with the AWS Certified Solutions Architect (Professional) level curricula, it does not aim to prepare participants for an examination. Instead, this is a practical, hands-on course that demonstrates how to implement numerous configurations, deployments, and implementations in a live lab environment—tasks typically performed by an AWS Solutions Architect.

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

• Designing complex cloud solutions on AWS.
• Deploying scalable, highly available, and fault-tolerant software applications on AWS.
• Selecting and integrating the most suitable AWS services for specific applications.
• Migrating complex software applications to AWS.
• Applying best practices throughout the design, implementation, optimisation, and deployment of AWS infrastructure and applications.

Format of the Course

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

Course Customization Options

• To request customized training for this course, please contact us to arrange your requirements.

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.

The AWS Cloud Practitioner Essentials course provides a foundational understanding of AWS cloud concepts, services, security, architecture, pricing, and support.

This instructor-led, live training (available online or onsite) is designed for beginners who want to grasp AWS at a conceptual level and build a strong foundation for future AWS learning or certification.

Upon completion, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Hands-on exercises using the AWS Console.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Customisation Options

• To request customised training tailored to your organisation's learning goals or cloud strategy, please contact us to arrange.

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

Delivered as instructor-led, live training (available online or onsite), this course is designed for intermediate to advanced cloud practitioners who want to consolidate their architect-level knowledge, practice exam-style questions, and build confidence for certification.

Upon completion, participants will be able to:

• Map AWS services and architectural patterns to specific exam domains and objectives.
• Design architectures that are resilient, high-performing, secure, and cost-optimized on AWS.
• Apply best practices from the Well-Architected Framework to real-world situations.
• Approaches and solve exam-style multiple-choice and scenario questions using effective strategies.
• Identify personal study gaps and develop a focused preparation plan for the certification exam.

Course Format

• Interactive lectures and domain mapping to the official exam blueprint.
• Hands-on lab demonstrations and guided architecture design exercises.
• Timed practice exams, question walkthroughs, and test-taking strategies.

Customization Options

• For information on customizing this training, please contact us to arrange a session.

This four-day course provides:

• A comprehensive understanding of core AWS services, their applications, and fundamental architecture best practices.
• Proficiency in designing, developing, and deploying cloud-based solutions utilizing AWS.
• Practical experience in developing and maintaining applications that leverage 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, Centre of Excellence teams, Windows Server administrators, Unix/Linux administrators, Storage administrators, Network administrators, and Virtualization administrators.

Upon completing this training programme, participants will be equipped to deploy and utilize AWS services from a developer's perspective.

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 (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.