
Explore why REST APIs matter for cloud-based software development, covering CRUD operations, authentication with API keys or bearer tokens, and Swagger OpenAPI specifications, plus a comparison with GraphQL.
Explore the essentials of REST API fundamentals, including statelessness, a uniform interface, and CRUD operations, and how objects like books and authors enable cross-layer client–server communication.
Learn rest api design with Swagger and OpenAPI specs for a library system, and compare rest with GraphQL to decide when to use each.
Explore how FinOps unites business, technical, and financial teams to optimize cloud spend with rest API data and PostgreSQL queries, monitoring utilization and suggesting reserved or spot options.
Explore REST API fundamentals and compare it with GraphQL, focusing on efficiency, scalability, statelessness, caching, and read replicas, plus AI-assisted API design for library lending and FinOps.
Demonstrates using an OpenAI chatbot to generate rest and GraphQL API interfaces for FinOps, outlining cost management, utilization, and optimizations to rightsize resources and monitor logs.
Learn rest api best practices: use plural resource names and uris, stateless requests, json responses, pagination, proper error handling, and secure, versioned, cached apis with authentication.
Define a well-scoped REST API by outlining objects and attributes like books, authors, publishers, and classifiers; ensure plural endpoints, stateless design, consistent URIs, and paging for performance.
Learn how REST API enables stateless client-server communication with CRUD operations and a uniform interface, compare it to GraphQL, and apply it to FinOps for cloud cost optimization.
In this course you will learn how to use OPENAI APIs to create REST APi design document as a service. The prompt that is used for creeating the REST API design document will be provided.
You will enter the details and OpenAI chatbot provides the list of objects, apis that are needed.
There is a comparison of REST APi and GraphQL.
There is a section that describes how to use the Chatbot AI to get a list of optimization recommendations.
After this course, the student can develop their own chatbots and REST API designs for the software system that they are designing.
This can be a precursor to taking the "Prompt Engineering" course, the Gen AI Fundamentals course. In addition the user can develop software design documents at scale and implement them.
This course helps the use minimize time on documentation and focus on implementation.
This course is a must for anybody who wants to become an entry level software engineer. This course is easy to process and can be completed in one sitting with no hassle. The course has some links that can be utilized for self-paced learning. Good luck on learning! Please apply the fundamentals learnt here in your projects!