AWS Cloud: From Fundamentals to Real-World Applications and Career Opportunities

Cloud computing has become one of the most important foundations for modern software, data platforms, AI/ML systems, and enterprise applications. Whether you are building a simple website, a data pipeline, a machine learning model, or a Generative AI application, cloud platforms like AWS play a major role in how real-world systems are designed, deployed, secured, and scaled.

In this session, we will start from the basics and understand why cloud computing exists, what problems it solves, and how AWS helps developers, data scientists, and technology teams build applications faster and more reliably.

We will use simple real-world analogies and examples to understand how cloud evolved from traditional server-based infrastructure to on-demand, scalable, pay-as-you-go platforms. We will then explore some of the core AWS services such as EC2, S3, IAM, RDS, and Lambda, and understand how they fit together in practical application architectures.

Since the audience includes students from CSE, IT, AI & ML, and Data Science departments, we will also discuss how AWS is used in software engineering, Data Science, AI/ML, and Generative AI workloads, including a high-level introduction to Amazon SageMaker and Amazon Bedrock.

The session will also include guidance on AWS certifications, career opportunities, and the skills expected by companies for cloud, software development, data, AI/ML, DevOps, and solution architecture roles.

What You'll Learn

• What is cloud computing and why it matters
• Traditional infrastructure vs cloud-based infrastructure
• Understanding AWS through real-world examples
• Core AWS services:
• Amazon EC2
• Amazon S3
• AWS IAM
• Amazon RDS
• AWS Lambda
• How these services are used in real-world applications
• AWS for software engineering, Data Science, and AI/ML
• Introduction to Amazon SageMaker
• Introduction to Amazon Bedrock and Generative AI use cases
• AWS certification roadmap for students
• Career paths in cloud, software development, data, DevOps, AI/ML, and architecture
• Skills expected by companies
• Suggested projects students can build to improve their profile
• Open Q&A and career guidance

Key Takeaways:
By the end of this session, attendees will understand:

• Why cloud computing is important in modern technology
• How AWS services solve real-world infrastructure and application problems
• How cloud is used in software engineering, Data Science, AI/ML, and Generative AI workloads
• Which AWS certifications are useful for students
• What skills companies expect from freshers and early-career professionals
• How to start learning AWS through projects and hands-on practice

This session aims to bridge the gap between academic learning and industry expectations through practical insights and experience sharing.

Speaker

Naresh Waswani
AWS User Group Nagpur Leader | AWS Community Builder | Senior Technology Architect

🌐 Stay Connected
💬 Join our WhatsApp group for updates and discussions:
👉 https://chat.whatsapp.com/HQLMAgTuSMSLhvS2DmHFag

Looking forward to an exciting learning session with the community! 🚀☁️