Introduction to AWS Cloud9 for Beginners Training Course

This instructor-led, live training in Botswana (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 Botswana (online or onsite) is targeted at cloud engineers aiming to grasp and apply the more intricate components of AWS architecture. While the course addresses many topics similar to those found in the AWS Certified Solutions Architect (Professional) exams, it is explicitly NOT designed to prepare participants for the examination. Instead, this is a practical, hands-on course that demonstrates how to implement in a live lab environment various configurations, implementations, and deployments that an AWS Solutions Architect would typically perform.

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.
• Integrating the most suitable AWS services with an application.
• Migrating complex software applications to AWS.
• Applying best practices for the design, implementation, optimization, and deployment of infrastructure and applications on AWS.

This instructor-led, live training session in Botswana (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 equipped to:

• Comprehend the AI/ML services available within the AWS ecosystem.
• Set up and manage AI/ML environments on AWS.
• Acquire practical experience in constructing, training, and deploying AI models using Amazon SageMaker.
• Learn to apply various AWS AI services to address specific use cases.

This on-demand AWS Architect Certification training course is crafted to equip professionals with the skills needed to become cloud-enabled through Amazon Web Services. Delivered with real-world examples, the course enables participants to grasp the practical application 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, participants will be capable of deploying their own cloud implementations using resources such as EC2 instances and S3 buckets.

AWS (Amazon Web Services) is a comprehensive cloud platform that provides compute, storage, database, networking, analytics, and managed services, empowering organisations to build scalable and cost-effective solutions.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate business and technical stakeholders who wish to understand core AWS services, the value proposition of cloud computing, cost models, security fundamentals, and how to align AWS capabilities with organisational objectives.

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

• Explain core AWS services and common cloud architectures.
• Assess the business benefits and cost models of migrating workloads to AWS.
• Identify appropriate AWS services for common business problems (compute, storage, databases, networking, analytics).
• Recognise basic security, compliance, and governance considerations in the AWS cloud.
• Outline a simple migration or cloud adoption plan with high-level cost and risk considerations.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led demonstrations in the AWS console.
• Group exercises and scenario-based workshops.

Course Customization Options

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

This instructor-led, live training in Botswana (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 Botswana (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 serves as a foundational programme designed to equip participants with a comprehensive understanding of AWS Cloud principles, services, security protocols, architectural frameworks, pricing structures, and support mechanisms.

This instructor-led, live training session (available either online or onsite) targets beginner-level professionals who seek to grasp AWS at a conceptual level and establish a robust foundation for subsequent AWS learning or certification pursuits.

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

• Describing the fundamental global infrastructure of the AWS Cloud.
• Explaining key AWS services and their typical application scenarios.
• Understanding cloud security and compliance within the AWS environment.
• Navigating pricing models and support plans.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of AWS Console in guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request a customized training for this course based on your organization’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 hands-on scenarios.

This instructor-led, live training (available online or onsite) targets intermediate to advanced cloud practitioners who wish to consolidate architect-level knowledge, practise exam-style questions, and build confidence for certification.

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

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

Format of the Course

• Interactive lecture 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.

Course Customization Options

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

This four-day programme is designed to equip participants with the following capabilities:

• A solid understanding of core AWS services, their use cases, and fundamental architecture best practices.
• Proficiency in designing, developing, and deploying cloud-based solutions utilising AWS.
• Hands-on experience with developing and maintaining applications leveraging Amazon Simple Storage Service (S3), Amazon DynamoDB, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Amazon Simple Workflow Service (SWF), AWS Elastic Beanstalk, and AWS CloudFormation.

Target Audience:

This course is ideal for cloud engineers, Centre of Excellence team members, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Upon successful completion of this training programme, participants will be capable of deploying and utilising AWS services from a developer’s perspective.

This instructor-led, live training in Botswana (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 Botswana (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 Botswana (online or onsite) is designed for advanced-level professionals seeking to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

By the conclusion of this training, participants will be capable of:

• Setting up and configuring AWS Cloud9 for DevOps workflows.
• Implementing continuous integration and continuous delivery (CI/CD) pipelines.
• Automating testing, monitoring, and deployment processes using AWS Cloud9.
• Integrating AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilising source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Botswana (online or onsite) is designed for intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Grasp the core principles of serverless architecture.
• Configure AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications leveraging AWS Lambda.
• Integrate AWS Lambda with other AWS services, such as API Gateway and S3.
• Optimize serverless applications for both performance and cost-efficiency.

Summary:

• Grasping the architecture and fundamental operations of IoT systems.
• Examining the notions of "Things" and "Sensors," the essence of the Internet of Things, and aligning business processes with IoT solutions.
• A thorough examination of IoT software layers: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Core IoT capabilities: fleet management, data visualisation, SaaS-based facility management and data visualisation, alert and alarm systems, sensor and device onboarding, and geo-fencing.
• The basics of device-to-cloud communication via MQTT.
• Linking IoT devices to AWS through MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for processing and Amazon DynamoDB for data storage.
• Establishing a connection between a Raspberry Pi and AWS IoT Core for seamless data exchange.
• Practical lab session: Creating a smart device using a Raspberry Pi and AWS IoT Core.
• Visualising sensor data and managing web interface communication.