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Unstructured data like images and PDFs are everywhere — but how do you turn them into something useful? In this session, we’ll show you how to extract, process, and visualize data from image-based sources using AWS services. We’ll start with Amazon Textract to extract text from receipts, then move through Amazon EMR with PySpark, AWS Glue, and Athena to transform and query your data. Finally, we’ll build a dynamic dashboard in Amazon QuickSight. It's a full data pipeline in one session — built live on AWS.

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Tightly coupled applications can lead to bottlenecks, scale limits, and maintenance headaches. In this session, we’ll dive into how AWS messaging services like Amazon SNS and Amazon SQS enable you to decouple components, boost scalability, and improve fault tolerance. Guided by a real-world scenario from AWS, we’ll design and build a system that uses message queues and topics to process a cloud workload. Perfect for developers and architects looking to strengthen their cloud design skills.

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Discover how to build, train, and deploy ML models using AWS services like SageMaker, Rekognition, and Comprehend. Understand the end-to-end ML lifecycle on AWS and explore real-world applications of machine learning in businesses.

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Ready to go beyond the AWS Console? In this hands-on session, you'll explore three powerful ways to manage AWS: the Management Console, the Command Line Interface (CLI), and the Software Development Kit (SDK). We’ll walk through real-world automation use cases while using secure scripting practices. If you're an architect, developer, or DevOps engineer ready to streamline your workflows, this session is for you.

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This webinar is based on the concept of DevOps technology, and how its implemented on AWS Cloud.The intended audience will be Developers,DevOps Engineers.

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Learn the art of designing effective prompts for large language models like ChatGPT. This session will cover techniques for improving AI responses, automating tasks, and enhancing user interactions through prompt design strategies.

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This webinar is going to target beginners who want to start their jounery in AWS Cloud.Participants would learn basics of AWS cloud and different career paths.

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Understand cloud migration strategies and tools to move applications and databases to AWS efficiently. Explore services like AWS DMS, SCT, and EC2 for successful migration, along with case studies from real-world enterprises.

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In today’s cloud-first world, building systems that are secure, reliable, cost-effective, and scalable is not just a best practice it’s essential. This webinar, "Are You Well-Architected?", dives into the AWS Well-Architected Framework, a powerful toolset that helps cloud architects and developers evaluate and improve their workloads on AWS.Designed around six key pillars Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability the Well-Architected Framework offers actionable guidance for designing, building, and maintaining high-performing infrastructure in the cloud.Organizations across industries often rush to the cloud but struggle with inefficiencies, security vulnerabilities, and escalating costs. The Well-Architected Framework ensures you don’t just move to the cloud but do so successfully. It provides a structured approach to assess existing architectures and align them with AWS best practices.

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In today's rapidly evolving digital world, cloud computing is no longer a luxury it's a necessity. This webinar, AWS Cloud Practitioner Essentials, is designed to introduce participants to the foundational concepts of Amazon Web Services (AWS) and illustrate how AWS empowers businesses, governments, and individuals to innovate faster, operate more efficiently, and reduce IT costs.Throughout the session, we'll explore the core services, pricing models, security principles, and global infrastructure of AWS. Whether you're from a technical or non-technical background, this webinar will provide you with a clear understanding of how AWS supports digital transformation across industries from powering startups to driving enterprise-scale solutions.

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This session provides a foundational overview of machine learning (ML) concepts, terminology, and real-world applications. You’ll learn when and how to use ML, the phases of a machine learning pipeline, and key differences between supervised, unsupervised, and reinforcement learning. We’ll also introduce deep learning and discuss how AWS services can help simplify and accelerate ML adoption for solving business challenges.

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In this webinar we will cover the fundamentals concepts of data analytics using AWS ecosystem.int

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This session provides an introduction to AWS cloud computing concepts, global infrastructure, and foundational services. We’ll cover the essentials of compute, storage, databases, networking, security, and pricing models to help participants build a strong understanding of AWS. Whether you're new to cloud computing or looking to enhance your AWS skills, this session will equip you with key terminology and practical insights to navigate AWS with confidence.

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In this session, we explore why one size doesn’t fit all when it comes to databases. With AWS offering over 15+ purpose-built database engines, this session will guide you in choosing the right database based on your workload, data model, and scalability needs. We’ll cover the Well-Architected Framework for databases, discuss different data models, and help you make informed decisions when selecting databases. By the end of this session, you’ll have a clear strategy for designing modern, scalable, and efficient database solutions on AWS.