AWS Engineering – Practical Training Work

AWS Engineering Internship Programme – Practical Training Course

Offered by Brand Me 4 Job

Master Key Tools, Strategies, and Practical Skills to Become a Job-Ready Social Media Marketing Professional

Course Overview

In today’s fast-evolving digital economy, cloud computing plays a critical role in how businesses store, manage, and scale their operations. Amazon Web Services (AWS) is the global leader in cloud infrastructure, widely used by start-ups, SMEs, and enterprises across the UK. This AWS Engineering Internship Programme, offered by Brand Me 4 Job, is a hands-on, project-based course designed to provide fresh graduates, international students, career changers, and job seekers in the UK with industry-relevant cloud computing skills.

Whether you’re from a computing, engineering, business, or management background (MBA/MSc), this internship will equip you with the practical skills employers value most in entry-level AWS engineers and DevOps professionals.

Interns will not only gain theoretical knowledge but also engage in real-world cloud projects using free-tier AWS tools, AI technologies, and industry-standard project management platforms.

Who Is This Course For?

• Fresh graduates in Computer Science, Data Science, Cloud Engineering, MBA (Tech specialisation), or MSc programmes

• International students in the UK seeking practical cloud computing experience

• Career changers looking to enter cloud engineering or DevOps roles

• Early professionals or university students interested in AWS certifications

• Job seekers wanting UK work experience and portfolio-ready projects

No prior paid work experience is required. You only need a laptop, internet connection, and a drive to learn.

What You Will Learn

This internship-based course is focused on practical cloud engineering and real-world deployment workflows, ensuring every candidate builds confidence through action.

You will:

✅ Understand and use AWS Free Tier tools confidently
✅ Learn to deploy and manage web apps, servers, and databases on AWS
✅ Create and manage infrastructure as code using AWS CloudFormation
✅ Build continuous deployment pipelines using CodePipeline and CodeDeploy
✅ Apply identity and access control with AWS IAM
✅ Use project management and collaboration tools (Trello, Monday.com, ClickUp)
✅ Master productivity tools like Google Workspace and Microsoft Office
✅ Practise prompt engineering with ChatGPT for automation and development support

Tools Covered in the Course

Here are the core tools you will use, divided into key categories:

🔹 Cloud Computing Tools (AWS Free Tier)

1. Amazon EC2
   Learn to configure, launch, and secure virtual servers (Linux/Windows). Host static and dynamic applications on the cloud.

2. AWS IAM (Identity and Access Management)
   Understand user roles, permission boundaries, and best security practices to manage access to AWS resources.

3. AWS Lambda
   Explore serverless computing by writing Python functions to automate processes like email alerts or file handling.

4. Amazon RDS (Relational Database Service)
   Deploy and manage MySQL/PostgreSQL databases for real-world SaaS applications. Perform basic SQL operations.

5. AWS CloudFormation
   Implement Infrastructure as Code (IaC) to automate provisioning of resources like EC2 instances and security groups.

6. AWS CodePipeline & CodeDeploy
   Build a CI/CD workflow that automatically pulls code from GitHub and deploys to EC2 environments – just like a real DevOps team.

🔹 AI Tools and Automation

7. Prompt Engineering – ChatGPT and Other AI Tools
   Master the art of AI-assisted development and task automation. Learn how to use AI to generate scripts, debug code, and write YAML/JSON templates. Practise real-world prompt writing for developers.

🔹 Productivity and Project Collaboration

8. Google Workspace / Microsoft Office Suite
   Enhance your collaboration and reporting skills using Docs, Sheets, Slides, Excel, Word, and PowerPoint for team communication and documentation.

9. Calendly
   Automate calendar scheduling for your meetings, interviews, and live demos without the hassle of back-and-forth emails.

10. Monday.com / Trello / ClickUp
    Learn agile project management by using Kanban boards, checklists, timelines, and task tracking — essential skills for remote or hybrid engineering teams.

Real-World Learning Approach

Unlike theoretical courses, this internship is task-driven. Each topic is supported by real-world scenarios, allowing you to:

• Deploy infrastructure from scratch

• Troubleshoot errors using logs

• Write and execute shell scripts

• Collaborate via shared documents

• Schedule meetings and demos using Calendly

• Submit reports using Docs/Slides

• Build simple CI/CD pipelines

• Use GitHub for source control

You will also practise using AI tools like ChatGPT for scripting assistance, environment setup, and YAML/JSON validation, making you a smarter and faster engineer.

Certification & Recognition

Upon successful completion, you will receive:

• A Certificate of Internship Completion from Brand Me 4 Job

• A letter of recommendation for your portfolio

• Access to job boards and networking events across the UK

• Mentoring for AWS Certification pathways if you wish to continue your journey

Learning Outcomes – AWS Engineering Internship Programme

By the end of this internship-based practical training, interns will be able to:

1. Understand Core AWS Concepts
   Gain foundational knowledge of cloud computing, AWS Free Tier services, and the architecture of scalable cloud solutions.

2. Deploy and Manage EC2 Instances
   Launch, configure, and secure Amazon EC2 instances to host web applications and simulate production environments.

3. Apply IAM Policies and Role-Based Access Control
   Create and manage users, groups, and permission policies using AWS Identity and Access Management (IAM) to ensure secure access to cloud resources.

4. Develop Serverless Functions with AWS Lambda
   Write, test, and deploy serverless functions to automate backend processes and integrate with other AWS services.

5. Set Up and Query Relational Databases Using Amazon RDS
   Deploy and manage relational databases (MySQL/PostgreSQL), perform SQL queries, and understand data storage best practices in the cloud.