Overview

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Advance your AWS expertise with automation, big data analytics, machine learning, and modern architectural patterns. This course empowers you to design and implement innovative solutions using the latest AWS technologies. Explore advanced topics such as cloud operation automation, DevOps practices, data engineering, big data analytics, and the integration of machine learning and generative AI in AWS. Learn how to architect data lakes, build microservices, and implement event-driven architectures. By the end of this course, you will be equipped to design, deploy, and optimize sophisticated AWS solutions that drive business innovation and agility. This course uses a blend of conceptual explanations and real-world case studies to help learners apply advanced AWS technologies and architectural patterns. Learners will gain actionable insights for building scalable, intelligent, and future-ready cloud solutions. This course is part three of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on AWS for Solutions Architects, by Saurabh Shrivastava, Neelanjali Srivastav and Dhiraj Thakur. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Driving Efficiency with Cloud Operation Automation and DevOps in AWS
- This module focuses on leveraging cloud automation and DevOps practices within AWS to improve operational efficiency, governance, and compliance. Learners will explore tools and strategies for managing cloud resources, monitoring performance, and optimizing costs. The content covers key concepts such as cloud architecture, configuration management, and centralized operations.
Data Engineering and Big Data Analytics in AWS
- This module covers the essential aspects of data engineering and big data analytics on AWS, including data ingestion, processing, storage, and visualization. It provides hands-on insights into key services like Amazon Kinesis, AWS Glue, Amazon S3, and Amazon Redshift, enabling learners to build scalable and efficient data pipelines.
Machine Learning and Generative AI in AWS
- This module explores the integration of machine learning and generative AI within AWS, covering model building, deployment, monitoring, and the use of services like SageMaker and Bedrock. Learners will gain practical knowledge on leveraging these tools for scalable AI solutions and business applications.
Data Lake Patterns: Integrating Your Data Across the Enterprise
- This module explores the design, architecture, and implementation of data lakes, focusing on AWS Lake Formation, data management strategies, and best practices for optimizing data usage across enterprises. Learners will gain insights into data quality, ingestion, cataloging, and performance monitoring, as well as comparisons between data lake, lakehouse, and data mesh architectures.
Building Microservices and Event-Driven Architecture in AWS
- This module explores the principles and practices of building microservices and event-driven architectures using AWS. Learners will gain an understanding of key design patterns, domain-driven design, and best practices for creating scalable and maintainable cloud solutions.
Hands-On Guide to Building an App in AWS
- This module guides learners through the process of building a serverless e-commerce application on AWS, covering architectural design, service configuration, security practices, and DevOps integration. It emphasizes practical implementation using AWS tools like Lambda, DynamoDB, and EventBridge, while reinforcing best practices for scalability and security.

Taught by

Packt - Course Instructors

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