We may earn an affiliate commission when you visit our partners.
Course image
Noah Gift

Gain in-depth knowledge of AWS core services like EC2, S3, VPC, and IAM - Master AWS networking and security best practices to deploy robust, compliant solutions - Learn advanced cloud architecture principles to design scalable, fault-tolerant systems - Explore AWS big data and machine learning services for data analytics workloads - Prepare for AWS Certified Solutions Architect - Professional and other AWS certifications - Get hands-on through integrated labs and projects using real AWS environments

What's inside

Learning objective

Fundamentals of cloud computing on aws - core aws compute, storage, networking, and security services - aws infrastructure setup and operations - advanced vpc design and connectivity options - aws security controls and compliance requirements - detecting and mitigating cloud security threats - high availability and fault tolerance architecture patterns - continuous integration, deployment, and automation - data collection, storage, and processing on aws - building and deploying machine learning models

Syllabus

Foundations of AWS Introduction to cloud computing and foundational AWS services. Covers AWS operations and includes a graded quiz.
Networking Mastery on AWS Explores network design, implementation, management, security, compliance, and governance on AWS. Includes a graded quiz.
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides core knowledge on key Amazon Web Services (AWS), including EC2, S3, VPC, and other related services
Suitable for learners seeking to gain in-depth expertise in AWS architecture design and implementation
Prepares learners for certification exams like AWS Certified Solutions Architect - Professional
Emphasizes hands-on experience through integrated labs and projects, including real-life AWS environments
Designed for individuals with an interest in designing scalable, fault-tolerant systems
Useful for professionals seeking to enhance their knowledge of data analytics and machine learning applications in cloud environments

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Comprehensive aws professional training

According to students, Authoritative AWS is a highly comprehensive course providing in-depth knowledge of core AWS services and advanced architecture. Learners find it particularly valuable for preparing for AWS certifications like the Solutions Architect - Professional. The course likely offers extensive hands-on labs and projects, making the learning practical. Students appreciate the coverage of AWS networking, security best practices, big data, and machine learning, ensuring a well-rounded understanding of cloud solutions. The graded quizzes help solidify comprehension.
Explores specialized areas like big data, machine learning, and advanced security.
"The modules on AWS big data and machine learning services were a great bonus, going beyond typical architect courses."
"I found the advanced VPC design and security best practices particularly valuable for complex enterprise environments."
"It's great that they cover modern cloud workloads like data analytics and ML, making the course very current."
Integrated labs and projects using real AWS environments enhance practical application.
"The hands-on integrated labs using real AWS environments were crucial for truly understanding the concepts."
"I really appreciate the practical projects; they helped me apply theoretical knowledge immediately."
"This course isn't just theory; the labs ensure I can actually deploy robust solutions in AWS."
Excellent for in-depth AWS knowledge and professional certification readiness.
"I feel completely prepared for the AWS Certified Solutions Architect - Professional exam after taking this course."
"The deep dive into core AWS services and advanced architecture provided a solid foundation for my career."
"This course covers so much material, from networking to ML, making it incredibly comprehensive for professional development."
The extensive content might be challenging without prior foundational knowledge.
"I found the pace quite fast, especially given the breadth of topics covered; some prior AWS exposure would be beneficial."
"While comprehensive, it felt like it assumed a baseline understanding of cloud concepts, which might be tough for absolute beginners."
"This course is packed with information, so be prepared for a steep learning curve if you're new to some of these services."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Authoritative AWS with these activities:
Organize and Review Course Materials
Enhance comprehension by organizing and reviewing course materials regularly.
Show steps
  • Collect and Organize Notes and Materials
  • Annotate and Summarize Materials
  • Create Study Guides and Outlines
  • Regularly Review and Revise Materials
Connect with AWS Experts
Seek guidance from experienced AWS professionals to enhance understanding and gain industry insights.
Show steps
  • Identify Potential Mentors
  • Reach Out and Introduce Yourself
  • Establish Mentorship Relationship
  • Engage in Regular Discussions
Practice AWS CLI Commands
Develop proficiency in using the AWS CLI to manage AWS resources and services.
Show steps
  • Install AWS CLI
  • Configure AWS CLI Credentials
  • Practice basic AWS CLI commands
  • Practice advanced AWS CLI commands
Four other activities
Expand to see all activities and additional details
Show all seven activities
Configure and Manage VPCs
Enhance understanding of VPCs by following guided tutorials on their configuration.
Browse courses on Virtual Private Cloud
Show steps
  • Identify VPC Use Cases
  • Create and Configure VPCs
  • Subnet Creation and Configuration
  • Security Group Management
  • Network Access Control
Participate in AWS Workshops and Hackathons
Engage in hands-on activities and compete with peers to refine AWS skills.
Show steps
  • Identify Relevant Workshops and Hackathons
  • Prepare for Participation
  • Participate in Workshops and Hackathons
  • Reflect on Experience and Apply Learnings
Lab: Deploy a Web Application
Apply acquired knowledge by creating a hands-on lab environment to deploy a web application.
Show steps
  • Provision EC2 Instances
  • Configure S3 Buckets for Storage
  • Set Up RDS for Database
  • Configure Load Balancing
  • Deploy and Test Web Application
Design and Implement a Cloud Architecture
Integrate course concepts by designing and implementing a complete cloud architecture solution.
Browse courses on Cloud Architecture Design
Show steps
  • Define Project Requirements
  • Design and Model Cloud Architecture
  • Implement Cloud Architecture
  • Test and Evaluate Architecture
  • Optimize and Iterate Architecture

Career center

Learners who complete Authoritative AWS will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Authoritative AWS.
This official study guide from AWS provides comprehensive coverage of the AWS Certified Solutions Architect - Associate exam blueprint, including all six exam domains: design principles, cloud architecture, data storage, security, networking, and cost control.
The premier applied machine learning masterwork, taking practitioners through intuitive concept breakdowns, production-grade Scikit-Learn workflows, and deep neural architecture implementations.
A timeless mathematical masterpiece that provides an uncompromising Bayesian and probabilistic foundation for linear classifiers, graphical models, kernel methods, and sampling algorithms.
The definitive mathematical and theoretical canon of statistical learning, establishing the rigorous analytical foundations of regularized regression, tree ensembles, and high-dimensional inference.
Comprehensive guide to advanced EC2 features. It covers topics such as auto scaling, load balancing, and security.
Provides a comprehensive guide to Hadoop, the open-source framework for Big Data processing. It covers the core concepts and components of Hadoop, as well as advanced topics such as data warehousing and machine learning.
A distilled practitioner field guide outlining best practices for the entire machine learning lifecycle, from problem formulation and feature engineering to model deployment and monitoring.
Delivers an end-to-end systems architecture guide for building reliable production ML systems, addressing data engineering trade-offs, real-time feature computation, and model drift mitigation.
Offers an in-depth exploration of AWS security services, including a strong focus on IAM. It's suitable for cloud architects, engineers, and cybersecurity professionals looking to master AWS security concepts and apply advanced techniques. The second edition ensures coverage of recent updates.
Bridges linear algebra, multivariable calculus, vector geometry, and probability directly to fundamental machine learning algorithms like PCA, Gaussian mixture models, and support vector machines.
Provides the monumental mathematical foundation of modern neural networks, connecting deep representation learning, backpropagation dynamics, and sequence modeling to empirical machine learning.
Provides hands-on experience with the tools and techniques used by computer architects to design and build computer systems. It covers a wide range of topics, from basic computer architecture concepts to more advanced topics such as pipelining and multi-core processors.
Save
Provides a comprehensive guide to machine learning on AWS, covering topics such as model building, training, and deployment, as well as best practices for managing machine learning projects.
Another practical guide focused on AWS IAM, this book aims to provide the essential knowledge needed to work effectively with the service. It covers core concepts and real-world scenarios, making it a useful resource for both beginners and experienced AWS users looking to solidify their IAM skills.
Provides a comprehensive overview of Amazon Web Services (AWS), including EC2. It valuable resource for anyone who wants to learn more about AWS and how to use it to build and deploy applications.
Provides hands-on experience with the tools and techniques used by embedded systems engineers to design and build embedded systems. It covers a wide range of topics, from basic embedded systems concepts to more advanced topics such as real-time operating systems and embedded networking.
Provides hands-on experience with the tools and techniques used by roboticists to build and program robots. It covers a wide range of topics, from basic robotics concepts to more advanced topics such as computer vision and navigation.
Provides hands-on experience with the tools and techniques used by game developers to build and design video games. It covers a wide range of topics, from basic game development concepts to more advanced topics such as 3D graphics and game physics.
Provides hands-on experience with the tools and techniques used by machine learning engineers to build and train machine learning models. It covers a wide range of topics, from basic machine learning concepts to more advanced topics such as deep learning and natural language processing.
While a certification guide, this book offers comprehensive coverage of AWS services relevant to the Solutions Architect Associate exam, including S3. It's valuable for solidifying understanding and is often used as a textbook or primary study material for those preparing for certification or seeking a broad, structured understanding for professional use. It provides practical exercises for aspiring Solutions Architects.
Provides hands-on experience with the tools and techniques used by data scientists to collect, clean, analyze, and visualize data. It covers a wide range of topics, from basic data science concepts to more advanced topics such as machine learning and deep learning.
This study guide from A Cloud Guru is designed to help you prepare for the AWS Certified Cloud Practitioner exam, covering essential concepts such as cloud computing, AWS services, and security best practices.
Provides hands-on experience with the tools and techniques used by mobile developers to build and design mobile applications. It covers a wide range of topics, from basic mobile development concepts to more advanced topics such as native app development and hybrid app development.
Instructs data scientists on applied model evaluation, cross-validation, hyperparameter tuning, and pipeline construction through Scikit-Learn maintainers Andreas Müller and Sarah Guido.
This study guide is aimed at the advanced AWS networking certification, diving deep into complex AWS networking concepts, including advanced VPC configurations, connectivity options, and troubleshooting. It's suitable for experienced professionals looking to specialize in AWS networking.
Provides a comprehensive guide to Spark, the popular open-source framework for Big Data processing. It covers the core concepts and components of Spark, as well as advanced topics such as streaming data and machine learning.
Provides an in-depth introduction to machine learning, covering the fundamental concepts and algorithms used in Big Data analysis. It is written by Andrew Ng, a leading expert in machine learning, and is highly recommended for those who want to gain a deeper understanding of Big Data.
Provides a deep dive into the technical aspects of cloud security. It covers topics such as cloud security architectures, security controls, and threat detection and response.
Provides a comprehensive overview of cloud security, covering everything from basic concepts to advanced topics such as threat detection and incident response. It is an excellent resource for anyone who wants to learn more about cloud security.
This cookbook provides hands-on recipes for securing AWS, with a dedicated chapter on Access Management with IAM Policies and Roles. It's a practical guide for those working directly with AWS, offering solutions to common security challenges. It's particularly useful for deepening understanding through practical application.
Security is paramount in cloud computing. provides an overview of AWS security, including best practices for securing S3 buckets. It's essential reading for anyone working with S3, particularly professionals, to understand how to protect data and ensure compliance.
Dives into the core protocols that underpin modern identity and access management in applications. Understanding OAuth 2.0, OpenID Connect, and SAML 2.0 is essential for anyone working with IAM in a development or architectural context. It's more technical and suitable for those looking to deepen their understanding of how these systems work.
While covering broader cloud security, this book includes significant content on identity and access control within cloud environments like AWS, Azure, and GCP. It offers practical guidance on securing cloud deployments, making it a useful reference for professionals and advanced students. The second edition is recently published, ensuring up-to-date information.
This guide is tailored for the Google Cloud Professional Cloud Network Engineer certification, providing in-depth coverage of GCP networking services, including VPCs, hybrid connectivity, and network security. It's a practical resource for those focusing on GCP and preparing for certification, offering insights into designing and implementing GCP network infrastructure.
Investigates the engineering realities of running automated ML pipelines in production, addressing data drift detection, automated retraining loops, telemetry infrastructure, and continuous validation.
Dives into a contemporary and important use case for S3: building data lakes. It covers concepts, architecture, and best practices for using S3 as the foundation for scalable data repositories. This is particularly useful for those at the undergraduate level and above who are interested in data engineering and analytics on AWS.
Details cloud-native DevOps architectures for orchestrating automated machine learning lifecycles, integrating CI/CD triggers, model registry synchronization, and automated hyperparameter sweep workers.
Tailored for the GCP Professional Cloud Security Engineer exam, this book provides comprehensive coverage of GCP security, with a significant portion dedicated to Google Cloud Identity and Access Management. It's an excellent resource for those focusing on GCP and preparing for certification, offering a structured approach to learning key concepts and best practices.
Given the course titles mentioning serverless and AWS Lambda, this book is highly relevant. It explores building serverless applications on AWS, where S3 common component for data storage and event triggering. It's valuable for understanding how S3 integrates into modern, event-driven architectures. The second edition includes coverage of S3.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern models.
For those working with Microsoft Azure, this book provides in-depth coverage of Azure's identity and access management solutions. It's a valuable resource for understanding and implementing IAM in the Azure ecosystem, complementing the AWS and GCP focused books.
This official study guide for the CCSP certification covers various domains of cloud security, with a significant focus on cloud access control and identity management. It's a comprehensive resource for those pursuing this vendor-neutral cloud security certification, offering a broad and deep understanding of relevant security principles.
Provides a broad introduction to AWS, covering various services including S3. It's excellent for gaining foundational knowledge of cloud computing concepts and how S3 fits within the larger AWS ecosystem. It is often used as a reference for those starting their AWS journey.
Covers AWS services from a developer's perspective, likely including how to interact with S3 programmatically and integrate it into applications. It's suitable for developers looking to build on AWS and utilize S3 for storage within their solutions.
Covers the practical aspects of Big Data analytics, providing guidance on how to plan, implement, and integrate Big Data solutions in an enterprise environment. It includes discussions on NoSQL and graph databases, which are essential technologies for handling Big Data.
Provides a technical overview of Big Data principles and best practices. It covers topics such as data ingestion, data storage, and data processing. It good option for those who want to gain a deeper understanding of the technical aspects of Big Data.
Provides a comprehensive introduction to reinforcement learning, a type of machine learning that involves making decisions in order to maximize reward. It covers the fundamental concepts and algorithms of reinforcement learning, as well as applications in various domains.
Provides a comprehensive guide to Big Data analytics with Java, covering topics such as data ingestion, data storage, and data processing. It good option for those who want to gain a practical understanding of how to use Java to analyze Big Data.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, showing how to fine-tune, optimize, and deploy attention architectures across diverse machine learning tasks.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Authoritative AWS.
AWS Certified Solutions Architect Associate SAA-C03 (2025)
Most relevant
Hands-On Introduction to Cloud Computing with AWS
Most relevant
AWS Certified Cloud Practitioner CLF-C02
Most relevant
Ultimate AWS Certified Security Specialty [NEW 2025] SCS...
Most relevant
Terraform: The Complete Guide from Beginner to Expert
Most relevant
AWS Certified Solutions Architect Professional SAP-C02
Most relevant
AWS Certified Solutions Architect Associate - SAA C03
Most relevant
AWS Cloud Architecture For Java Spring Boot Developers
Most relevant
AWS Solutions Architect Associate with Practice Test
Most relevant

edX Buyer Protection & Guarantee

Verified partner policies & purchase protections

World-Class University Partner
Free Trial & Audit

Free Audit Track Available

Free audit track available for most courses, giving open access to video lectures, course readings, and assignments at no charge.

Return & Refund Policy

14-Day Full Refund Window

14-day full refund available up to 14 days after course start or 14 days after payment (whichever comes second, up to 6 months max), provided verified certificate has not yet been earned.

Buyer Protections

Verified Academic & Industry Partner

University-backed credentials authored by elite institutions like Harvard, MIT, and Oxford, with tamper-proof certificate verification.

Key Purchase Protections
Free audit track for open learning access
14-day money-back guarantee on verified certificates
Prestigious university credentials (Harvard, MIT)
Automatic unenrollment refund process via dashboard
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser