Introduction to AWS Cloud9 for Beginners Training Course

This instructor-led, live training in Nigeria (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 Nigeria (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 Nigeria (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.
• 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.

The on-demand AWS Architecture Certification training course is designed to equip professionals with the skills needed to become proficient in cloud computing using Amazon Web Services. This course utilizes real-world examples to help participants grasp the practical application of core 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 of this course, participants will be capable of implementing their own cloud solutions using services such as EC2 instances and S3 buckets.

AWS, short for Amazon Web Services, is a robust cloud platform that provides a wide array of services including computing power, storage, databases, networking, analytics, and managed services. These capabilities empower organizations to develop scalable and cost-efficient solutions.

This instructor-led training, available both online and onsite, is designed for beginner to intermediate business and technical stakeholders. The course aims to help participants grasp core AWS services, the value proposition of cloud computing, cost structures, fundamental security principles, and strategies for aligning AWS capabilities with organizational goals.

Upon completing this training, participants will be equipped to:

• Describe key AWS services and common cloud architectures.
• Evaluate the business advantages and cost implications of migrating workloads to AWS.
• Select suitable AWS services for typical business challenges across compute, storage, databases, networking, and analytics.
• Acknowledge essential 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.
• Live demonstrations by the instructor using the AWS console.
• Collaborative group exercises and scenario-based workshops.

Customization Options

• For bespoke training tailored to your specific needs, please reach out to us to discuss arrangements.

This instructor-led live training in Nigeria (online or onsite) is tailored for intermediate-level data scientists and analysts looking to use AWS Cloud9 for efficient data science workflows.

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

• Establish a data science environment in AWS Cloud9.
• Conduct data analysis using Python, R, and Jupyter Notebook within Cloud9.
• Connect AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Use AWS Cloud9 for developing and deploying machine learning models.
• Enhance cloud-based workflows for efficient data analysis and processing.

This instructor-led, live training in Nigeria (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.

AWS Cloud Practitioner Essentials is a fundamental course crafted to equip participants with a comprehensive grasp of AWS Cloud principles, services, security protocols, architecture, pricing structures, and support mechanisms.

Delivered as a live, instructor-led training session (available online or onsite), this programme targets beginner-level professionals eager to comprehend AWS conceptually and establish a robust foundation for future AWS education or certification.

Upon completing this training, participants will be capable of:

• Articulating the fundamental global infrastructure of the AWS Cloud.
• Explaining essential AWS services and their typical use cases.
• Gaining insight into cloud security and compliance within the AWS environment.
• Navigating AWS pricing models and support plans.

Course Format

• Interactive lectures and discussions.
• Practical engagement with the AWS Console through guided exercises.
• Applied activities and knowledge assessments aligned with the AWS examination guide.

Course Customization Options

• For customized training tailored to your organization’s learning objectives or cloud strategy, please contact us to make arrangements.

This workshop equips candidates for the AWS Certified Solutions Architect exam by linking exam objectives to practical knowledge and hands-on scenarios.

This instructor-led, live training (online or onsite) targets intermediate to advanced cloud practitioners who want to consolidate architect-level knowledge, practice 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.

Over the course of four days, this training programme delivers:

• A solid grasp of core AWS services, their applications, and fundamental architectural best practices.
• The skills needed to design, develop, and deploy cloud-based solutions utilizing AWS.
• Hands-on experience in developing and maintaining applications utilizing 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 utilise AWS services from a developer's perspective.

This instructor-led, live training in Nigeria (onsite or remote) is designed for engineers who want 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 Nigeria (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 Nigeria (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 Nigeria (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.

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 core functionalities.
• Exploring the concepts of 'Things' and 'Sensors', the Internet of Things, and mapping business processes to IoT solutions.
• Reviewing IoT software components comprehensively: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Examining key IoT functions: fleet management, data visualization, SaaS-based Facility Management (FM) and Data Visualization (DV), alerting/alarm systems, sensor and 'thing' onboarding, and geo-fencing.
• Learning the fundamentals of IoT device-to-cloud communication using MQTT.
• Connecting IoT devices to AWS via MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computation and Amazon DynamoDB for data storage.
• Linking a Raspberry Pi to AWS IoT Core for seamless data communication.
• Practical lab session: Building a smart device using a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and managing web interface communication.