Learn Serverless
5 expert-rated courses covering Serverless. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Serverless skills are in high demand across industries like fintech, e-commerce, and SaaS, with 40% year-over-year growth in job postings. Roles like Cloud Architect, Serverless Developer, and DevOps Engineer that leverage Serverless can earn 18-25% higher salaries. Combining Serverless with complementary skills like AWS, Kubernetes, and MLOps boosts career prospects.
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Key Facts About Serverless
- 1Serverless computing eliminates the need to provision, scale, and manage servers, reducing infrastructure costs by up to 50%.
- 2AWS Lambda is the most popular Serverless compute service, with over 1 million functions executed per second.
- 3Serverless enables faster time-to-market, as developers can focus on writing business logic instead of managing servers.
- 4Key Serverless use cases include event-driven apps, data processing, web APIs, and IoT applications.
- 5Serverless architectures seamlessly scale to meet demand, only charging for the compute time used.
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Top Serverless Courses
Developing Applications with Cloud Run Functions on Google Cloud
In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
Serverless Data Processing with Dataflow
It is becoming harder and harder to maintain a technology stack that can keep up with the growing demands of a data-driven business. Every Big Data practitioner is familiar with the three V’s of Big Data: volume, velocity, and variety. What if there was a scale-proof technology that was designed to meet these demands? Enter Google Cloud Dataflow. Google Cloud Dataflow simplifies data processing by unifying batch & stream processing and providing a serverless experience that allows users to focus on analytics, not infrastructure. This specialization is intended for customers & partners that are looking to further their understanding of Dataflow to advance their data processing applications. This specialization contains three courses: Foundations, which explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in Develop Pipelines, which covers how you convert our business logic into data processing applications that can run on Dataflow Operations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability.
Build a Serverless App with Cloud Run that Creates PDF Files
In this lab you will build a PDF converter web app on Cloud Run, a serverless service, that automatically converts files stored in Cloud Storage into PDFs stored in segregated folders.
Deploy and Scale AI Models with Cloud Run
AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products. The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.
DevOps and AI on AWS
Learn DevOps practices for AI on AWS including CI/CD, Infrastructure as Code, containerization, and serverless computing.
Pro Tips for Learning Serverless
- #1Start by learning core Serverless concepts like functions, triggers, and event-driven design.
- #2Master popular Serverless platforms like AWS Lambda, Azure Functions, and Google Cloud Functions.
- #3Supplement Serverless skills with DevOps, Kubernetes, and cloud architecture knowledge.
- #4Build a portfolio of Serverless projects to showcase your expertise.
Why Learn Serverless?
- Gain in-demand skills to build modern, scalable applications in the cloud.
- Improve development velocity and reduce infrastructure management overhead.
- Unlock new opportunities in high-growth fields like fintech, e-commerce, and SaaS.
- Earn a 18-25% salary premium for Serverless-related roles.