Packt

Advanced AWS: Automation, Analytics, AI & Architecture

Packt

Advanced AWS: Automation, Analytics, AI & Architecture

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Master Generative AI, MLOps, and AIOps to build intelligent cloud solutions

  • Optimize cloud-native applications for performance and reliability

  • Prepare for new AWS certifications focused on AI and data engineering

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

October 2026

Assessments

7 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the AWS for Solutions Architects Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 6 modules in this course

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.

What's included

1 video12 readings1 assignment

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.

What's included

1 video21 readings1 assignment

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.

What's included

1 video13 readings1 assignment

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.

What's included

1 video15 readings1 assignment

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.

What's included

1 video15 readings1 assignment

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.

What's included

1 video11 readings2 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Packt - Course Instructors
Packt
2,541 Courses746,738 learners

Offered by

Packt

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

What brings you to Coursera today?

Frequently asked questions