This repository documents the full lifecycle of working with the OpenAPI Specification (OAS) and the Swagger ecosystem, covering both foundational concepts and advanced implementation patterns used in real-world API design and documentation.
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Overview of the course scope and learning objectives
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Understanding what APIs are and their role in modern systems
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Importance of API documentation in scalable architectures
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Introduction to OpenAPI Specification (OAS)
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Core elements of OAS:
- API endpoints
- Request/response structures
- Parameters and validation rules
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Overview of Swagger tools and their ecosystem
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Concept of Code-First API development
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Why OpenAPI is required in existing APIs
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Benefits of adopting OpenAPI Specification
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History and evolution of Swagger → OpenAPI
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Overview of Swagger tools (Editor, UI, Hub)
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Real-world OpenAPI adoption scenarios
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Generating OpenAPI specs from existing APIs
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Using SwaggerHub Explorer for:
- API testing
- Capturing request/response history
- Bootstrapping specifications automatically
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Concept of designing APIs before implementation
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Writing OpenAPI Specification manually
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Using OAS as a contract between teams
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Translating business requirements into API definitions
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When Design-First approach is preferred
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Introduction to YAML:
- Purpose and design philosophy
- Comparison with JSON and XML
- Syntax fundamentals for OAS
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Structure and role of the
pathsobject -
Defining API endpoints and operations
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Understanding HTTP methods (
GET,POST, etc.) -
Organizing APIs within the specification
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Relationship between:
- Paths
- Operations
- Parameters
- Responses
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Handling multiple environments using
servers -
Common metadata shared across APIs
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Introduction to CommonMark (Markdown) in OpenAPI
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Enhancing readability of API documentation
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Writing clear and structured descriptions for:
- APIs (
info.description) - Operations
- Parameters
- Request/response bodies
- Schema fields
- APIs (
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Creating visual hierarchy in documentation
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Highlighting key information for API consumers
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Introduction to the
componentsobject -
Importance of reusability in API design
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Defining reusable elements:
- Schemas
- Parameters
- Responses
- Security schemes
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Reducing duplication across API definitions
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Maintaining consistency in large-scale APIs
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Integration with other root-level objects
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Role of data types in OpenAPI
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Using
schemaobjects across:- Request bodies
- Responses
- Parameters
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Supported data types and formats
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Difference between:
integervsnumber
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Validation rules and constraints
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Preparing for advanced schema modeling
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Need for advanced schema modeling
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Reusing shared properties across schemas
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Supporting multiple data structures in APIs
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OpenAPI composition keywords:
allOf(inheritance)oneOf(exclusive polymorphism)anyOf(flexible polymorphism)not(negation constraints)
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Designing flexible and scalable schemas
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Review of root-level OpenAPI objects:
openapi,info,servers,paths, etc.
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Deep understanding of operation structure
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Defining
operationId:- Unique operation identifiers
- Importance for code generation
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Organizing large API specifications
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Identifying gaps and refining API design
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Importance of securing APIs
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Risks of unsecured APIs:
- Data breaches
- Unauthorized access
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Defining security requirements in OAS
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Authentication mechanisms:
- HTTP Basic Authentication
- Bearer Token Authentication
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Applying security at:
- Global level
- Operation level
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Structuring security schemes in OpenAPI
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Limitations of local OpenAPI editing
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Hosting OpenAPI documentation:
- Using GitHub Pages
- Rendering with Swagger UI
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Converting YAML specs into live documentation portals
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Keeping documentation in sync with API changes
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Introduction to:
- API mocking
- Code generation from OpenAPI
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Enabling collaboration through hosted API docs
