AWS, or Amazon Web Services, is a comprehensive cloud computing platform that provides a wide range of services for businesses of all sizes.
From storage and computing to databases and analytics, AWS offers everything you need to build and run applications in the cloud.
Learning AWS can open doors to exciting career opportunities in the rapidly growing field of cloud computing.
Finding a quality AWS course on Coursera can be a challenge, especially with so many options available.
You’re looking for a program that’s comprehensive, engaging, and taught by experts, but also fits your learning style and goals.
For the best AWS course overall on Coursera, we recommend the AWS Fundamentals Specialization.
This program is a comprehensive three-course journey that equips you with the skills needed to understand and use core AWS services like EC2, S3, and IAM.
The program emphasizes building highly available, scalable, and cost-effective applications on AWS, making it ideal for beginners wanting to learn practical skills.
While this is our top pick, there are other great options available.
Keep reading to discover our recommendations for different learning levels and career goals, as well as courses focused on specific AWS services and technologies.
AWS Fundamentals Specialization
Looking to launch your cloud computing career?
This Specialization from Coursera is the perfect starting point. You’ll get hands-on with the most essential AWS services through real-world scenarios.
The first course introduces you to core AWS offerings. You’ll learn key concepts like IAM, EC2, S3, and more. By the end, you’ll be able to choose the right AWS services for different needs. The material focuses on building highly available, scalable, and cost-effective applications.
Next, you’ll dive into migration planning. Discover how to assess, mobilize, and migrate to the AWS cloud smoothly. You’ll explore the tools and features that facilitate migrations at any scale. With this knowledge, you can design and execute migrations confidently.
The third course is all about architecting robust solutions on AWS. You’ll work through use cases to identify optimal services and features. By the end, you’ll know how to build resilient, secure, and highly available systems.
Together, these courses provide end-to-end training for AWS beginners.
AWS Cloud Technology Consultant Professional Certificate
This comprehensive program includes 9 courses designed to teach you everything you need to know to become an AWS cloud consultant.
The courses provide a solid foundation in AWS and cloud basics before diving into technical skills like Python programming, automation, databases, and more.
For example, the “Introduction to Information Technology and AWS Cloud” course covers computing fundamentals, cloud security, and careers. “AWS Cloud Technical Essentials” then builds your cloud knowledge with a hands-on look at core services like EC2, S3, and Lambda.
Crucially, the certificate also develops the soft skills needed for consulting, like communication, requirements gathering, and relationship building. The “Skills for Working as an AWS Cloud Consultant” course focuses entirely on mastering these abilities.
The certificate culminates with a Capstone project where you put your new skills into practice following the AWS Well-Architected Framework. This ensures you can make informed decisions about architecture design and mitigate risks.
With engaging video lectures, knowledge checks, and hands-on labs, these courses deliver the perfect blend of theory and practical experience. The skills you gain will make you a highly qualified cloud consultant.
Businesses are rapidly migrating to the cloud. With this certificate on your resume, you’ll be ready to guide them through that transition and thrive in your career.
Practical Data Science on the AWS Cloud Specialization
This specialization is a comprehensive package that offers a deep dive into practical data science, with the added bonus of focusing on handling massive datasets and deploying data science projects in the cloud.
The first course, “Analyze Datasets and Train ML Models using AutoML,” is a solid foundation for anyone interested in exploratory data analysis (EDA) and automated machine learning (AutoML).
AutoML is a fast way to build and deploy machine learning models in an automated fashion that has been growing in popularity in recent years.
It’s a hands-on course where you’ll work with Amazon SageMaker to analyze datasets for statistical bias, transform data into machine-readable features, and train a multi-class text classifier.
The second course, “Build, Train, and Deploy ML Pipelines using BERT,” takes you a step further into the world of natural language processing.
You’ll learn to build an end-to-end machine learning pipeline using the state-of-the-art BERT model, which is widely used in text mining in industry.
Learners have praised the course for its in-depth coverage of ML Pipelines and MLOps, and model training and deployment with BERT.
The third course, “Optimize ML Models and Deploy Human-in-the-Loop Pipelines,” is all about performance improvement and cost reduction.
You’ll learn to tune model accuracy, compare prediction performance, and generate new training data with human intelligence.
This course is unique in its focus on human-in-the-loop pipelines with lessons on distributed model training, hyperparameter tuning, and A/B testing.
Building Serverless Applications on AWS Specialization
Serverless allows companies to build and run applications without managing servers while only paying for what they use.
This Specialization from Coursera is designed to give you the skills needed to build serverless applications on AWS.
First, you’ll learn to integrate AWS services into applications using the SDK.
This will give you the core skills to replace storage and compute with Amazon S3, DynamoDB, EC2 and Lambda. You’ll be writing code to leverage these services. The instructors walk you through demonstrations and labs to put concepts into practice.
Next, you’ll focus entirely on serverless architectures.
This is key for modern software engineers looking to reduce costs and speed up delivery. The course covers must-have automation tools like AWS CloudFormation and real-world serverless use cases. You’ll add authentication and build event-driven apps with SNS, SQS and EventBridge.
Finally, you’ll dive into essential software development practices.
Get ready to collaborate on code with CodeCommit and master CI/CD pipelines. Write unit tests, automate deployments with CodeDeploy and ship higher quality code faster. You’ll commit code that flows through a full pipeline from testing to production.
With its hands-on labs and expert instructors, this Specialization packs practical training on core AWS services.
You’ll finish ready to architect and build serverless apps on AWS.
AWS Cloud Solutions Architect Professional Certificate
Starting with “AWS Cloud Technical Essentials”, you’ll get an introduction to key services like EC2, S3, and DynamoDB. You’ll learn cloud security basics and how to monitor infrastructure.
Next is “Architecting Solutions on AWS”. This course has you work through real-life customer scenarios to practice identifying AWS services to build secure, resilient systems. You’ll gain skills in event-driven and hybrid architectures optimized for efficiency.
After that, “Introduction to Designing Data Lakes on AWS” teaches you to build a secure, scalable data lake. You’ll understand common components and get hands-on practice ingesting and processing data at scale.
Finally, “Exam Prep for the AWS Certified Solutions Architect - Associate” helps you assess readiness for the exam. You’ll review sample questions and practice skills to identify weak areas before the test.
Overall, these courses offer robust preparation for a career as an AWS solutions architect. The practical focus gives you in-demand technical skills for designing and implementing cloud systems on AWS. And the professional certificate can validate your abilities to potential employers.
DevOps on AWS Specialization
This 4-course series gives you hands-on practice with the most in-demand AWS services for building, deploying, and monitoring cloud-based applications.
Start with “AWS Cloud Technical Essentials” to get a strong foundation in core AWS offerings like EC2, S3, and IAM. You’ll gain the cloud computing know-how to make informed decisions for different use cases. Technical backgrounds preferred, but not required.
Then level up your DevOps skills in “Code, Build, and Test”. Master CI/CD pipelines, test automation, and code quality tools for faster delivery. Apply leading practices like infrastructure as code to boost reliability.
In “Release and Deploy” you’ll streamline provisioning and reduce errors using AWS services purpose-built for DevOps. Explore deploying updates with CodeDeploy and Lambda. See how a CloudFormation template centralizes backend services.
Finally, monitor and operate your architecture with CloudWatch, EventBridge, and more. Discover issues before they become outages. Continuously comply through automation. Optimize performance with ML-powered insights.
With real-world examples and hands-on exercises using AWS’ innovative offerings, this Specialization will give you the practical DevOps skills to deliver higher-quality applications faster.
Real-World Cloud Product Management Specialization
In the first course, you’ll get an overview of the booming cloud industry.
Learn how the cloud accelerates business and careers. Compare cloud vs non-cloud architectures. And determine if the AWS Certified Cloud Practitioner Exam fits your goals.
The second course dives into managing and innovating in the cloud.
Master compute, containers, serverless, databases, analytics, machine learning, and more. Plus, learn cloud pricing and cost optimization from the product manager perspective.
Finally, the third course focuses on security and architecture.
Understand the Shared Responsibility Model. Follow the AWS Well-Architected Framework. And get ready to pass the AWS Cloud Practitioner Exam.
Starting Your Career with AWS Cloud Specialization
The first course provides an excellent introduction to cloud computing roles and terminologies.
You’ll learn key differences between infrastructure, platform, and software services so you can better understand the AWS ecosystem. Interviews with Amazon employees give invaluable insight into day-to-day responsibilities of positions like Solutions Architect, Data Scientist, and Security Engineer. This context will help you determine if a career in the cloud is right for you.
The second course delivers a comprehensive overview of AWS services related to computing, networking, storage, databases, analytics, monitoring, cost optimization and security.
You’ll be able to differentiate between the core AWS offerings and identify how they can be applied based on your specific role. This foundational knowledge is essential for new cloud practitioners.
The third course is where you get hands-on with AWS through video demonstrations and exercises.
You’ll learn how to create an account, leverage the Free Tier, and see AWS services combine to build real-world solutions. Example scenarios showcase how the cloud can facilitate data analytics, architecture, and operations. Following along will help cement your understanding and prepare you for real-world cloud work.
Google Cloud Infrastructure for AWS Professionals Specialization
As an AWS professional, you know the power of cloud computing. Now take your skills to the next level with the Google Cloud Infrastructure for AWS Professionals Specialization on Coursera.
This unique 4-course series is designed specifically for AWS pros like you who want to expand their cloud architecture expertise.
The courses provide detailed comparisons between Google Cloud and AWS solutions so you can leverage your AWS knowledge as you master Google Cloud.
The first course focuses on identity access management and networking. You’ll learn how Google’s resource hierarchy and service accounts differ from AWS. Hands-on practice will build your skills in managing Google Cloud resources.
The second course dives into compute resources and load balancing. You’ll compare and contrast Cloud Load Balancing with AWS Load Balancers. And you’ll get hands-on experience with managed instance groups, so you can efficiently scale your cloud deployments.
The third course covers storage options and containers. You’ll compare Google’s data lake and database choices to AWS. And you’ll provision Kubernetes clusters on Google Kubernetes Engine.
The fourth course is all about deployment and monitoring. You’ll explore how Google Cloud tools like Cloud Source Repositories and Cloud Functions compare to AWS offerings. And you’ll monitor resources using Cloud Monitoring, so you can track performance.
With this Specialization, you get the best of both worlds. The skills you gain will make you a well-rounded cloud professional and open new career opportunities. And you can learn at your own pace with flexible online access.
Building Cloud Computing Solutions at Scale Specialization
If you want to go beyond AWS and learn how to build scalable cloud solutions on any platform, this Specialization is for you.
You’ll start by building the foundational infrastructure for cloud computing. Through projects using GitHub, AWS S3, and other tools, you’ll gain crucial skills in serverless technology, virtual machines, and Agile development. These form the building blocks to architecting robust cloud solutions.
From there, you’ll dive into implementing core cloud technologies like containers and microservices using Flask and Kubernetes. With continuous deployment and DevOps best practices under your belt, you’ll be ready to engineer complex data solutions on the cloud.
The third course focuses on real-world data engineering on platforms like AWS, Azure, and GCP. You’ll create a serverless data pipeline, gaining expertise in data engineering applications and monitoring.
Finally, you’ll leverage your cloud, data, and ML skills to build and deploy intelligent applications. Using AutoML and MLOps, you’ll streamline ML workflows. You’ll even deploy ML predictions via a Flask web app!
With its hands-on projects and focus on in-demand skills like containers, data engineering, and MLOps, this specialization will give you the end-to-end expertise needed to architect smart, scalable cloud solutions.
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