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Software Engineering

Escribe código en el que tu equipo confía. Lanza sistemas que no se caen.

El curso completo

módulos
62
temas
651
min por lección
15

86%

de las empresas espera que la IA transforme su negocio antes de 2030.

WEF Future of Jobs Report 2025

Siete etapas.Una sola subida constante.

Todo lo que hay entre escribir código y mantener software del que la gente depende.

Las horas y los meses son estimaciones: una lección de 15 minutos por tema, cada día.

Cada módulo.Cada tema.

Los títulos de módulos y temas se quedan en inglés, el idioma de trabajo del sector.

Etapas

Etapa 1

Programming Foundations

Cómo corre el código, falla y se arregla

14 módulos · 145 temas

  1. 1The World of Software Engineering9 temas
    • What Software Engineers Actually Build
    • Programming vs. Software Engineering
    • Software as a Product, Service, and Component
    • Correctness, Usefulness, and Fitness for Purpose
    • Complexity and the Cost of Change
    • Engineering Decisions Under Constraints
    • The Responsibilities of a Software Engineer
    • Working Across Product, Design, Engineering, and Operations
    • The Full Lifetime of a Software System
  2. 2Software Systems and Their Life Cycles10 temas
    • Programs, Applications, Services, and Platforms
    • System Boundaries and External Dependencies
    • Users, Operators, and Other Stakeholders
    • From an Idea to a Running Software System
    • Discovery, Development, Delivery, and Maintenance
    • Prototypes, Experiments, and Production Systems
    • Iterative and Incremental Development
    • Predictive, Adaptive, and Hybrid Life Cycles
    • Feedback Loops Across the Software Life Cycle
    • Retirement and Replacement as Engineering Activities
  3. 3Computational Problem Solving10 temas
    • Turning a Problem into Inputs, Outputs, and Rules
    • Decomposition and Stepwise Refinement
    • Abstraction and Essential Detail
    • Boolean Logic and Compound Conditions
    • Sets, Relations, and Mappings
    • States, Transitions, and Invariants
    • Examples, Counterexamples, and Edge Cases
    • Pseudocode and Algorithm Sketches
    • Estimation and Reasonableness Checks
    • Distinguishing a Correct Solution from a Practical One
  4. 4Programs, Languages, and Execution10 temas
    • Source Code and Executable Behavior
    • Syntax, Semantics, and Program Meaning
    • Compiled, Interpreted, and Hybrid Execution
    • Runtimes, Virtual Machines, and Standard Libraries
    • Entry Points and Program Startup
    • Expressions, Statements, and Evaluation
    • Scope, Namespaces, and Name Resolution
    • The Call Stack and Function Execution
    • Input, Output, and Interaction with the Environment
    • Choosing a Language for Constraints and Team Capabilities
  5. 5Values, Types, and Data Representation12 temas
    • Variables, Values, and Bindings
    • Integers, Floating-Point Numbers, and Precision
    • Booleans and Logical Values
    • Strings, Unicode, and Text Encoding
    • Records, Objects, and Structured Values
    • Enumerations and Explicit State Representation
    • Static and Dynamic Type Checking
    • Type Inference and Type Conversion
    • Null, Missing Values, and Optional Types
    • Equality, Identity, and Comparison
    • Dates, Times, Time Zones, and Durations
    • Representing Money, Units, and Domain-Specific Quantities
  6. 6Control Flow and Functions11 temas
    • Conditional Execution and Branching
    • Loops and Iteration
    • Early Returns and Guard Clauses
    • Functions, Parameters, and Return Values
    • Function Contracts and Caller Expectations
    • Passing Values and References
    • Recursion and Base Cases
    • Higher-Order Functions and Callbacks
    • Closures and Captured State
    • Separating Calculation from Side Effects
    • Keeping Control Flow Understandable
  7. 7Practical Data Structures10 temas
    • Arrays and Dynamic Arrays
    • Linked Structures and Their Trade-Offs
    • Stacks and Queues
    • Maps, Dictionaries, and Hash Tables
    • Sets and Membership Tests
    • Trees and Hierarchical Data
    • Graphs and Connected Data
    • Heaps and Priority Queues
    • Iterators and Collection Traversal
    • Choosing Structures by Operations and Constraints
  8. 8Algorithms and Computational Cost12 temas
    • Algorithm Correctness and Termination
    • Linear Search and Binary Search
    • Sorting and Ordering Requirements
    • Traversing Trees and Graphs
    • Recursion vs. Iteration
    • Divide-and-Conquer Strategies
    • Greedy Decisions and Their Limitations
    • Reusing Results with Memoization
    • Time and Space Complexity
    • Big-O Notation and Its Practical Limits
    • Input Size, Constant Factors, and Real Workloads
    • Recognizing When an Algorithm Needs to Change
  9. 9State, Mutation, and Resource Management10 temas
    • Local State and Shared State
    • Mutable and Immutable Data
    • Aliasing and Unexpected Changes
    • Object Lifetimes and Resource Ownership
    • Stack and Heap Allocation as Programming Concepts
    • Garbage Collection and Managed Memory
    • Explicit Cleanup and Scoped Resource Management
    • Files, Connections, and Other Finite Resources
    • Copying, Sharing, and Defensive Boundaries
    • Preventing Resource Leaks and Unbounded Growth
  10. 10Errors, Failures, and Defensive Programming10 temas
    • Invalid Inputs, Programming Defects, and Operational Failures
    • Exceptions, Error Values, and Result Types
    • Validation at System Boundaries
    • Recoverable and Unrecoverable Conditions
    • Preserving Error Context
    • Error Propagation and Translation
    • Cleanup When Operations Fail
    • Assertions and Internal Consistency Checks
    • Avoiding Silent Failure and Misleading Success
    • Designing Useful Error Messages
  11. 11The Development Environment9 temas
    • Editors, IDEs, and Language Tooling
    • Terminals, Shells, and Command-Line Programs
    • Project Structure and Repository Layout
    • Installing and Selecting Toolchain Versions
    • Running Programs and Automated Checks Locally
    • Configuration Files and Environment Variables
    • Formatters, Linters, and Static Checks
    • Debuggers and Interactive Inspection
    • Reproducible Setup for a New Contributor
  12. 12Reading and Debugging Code11 temas
    • Finding Entry Points and Following Execution
    • Reading Unfamiliar Functions and Modules
    • Understanding Tests as Behavioral Examples
    • Reproducing a Defect Reliably
    • Reducing a Problem to a Minimal Example
    • Breakpoints, Stepping, and Variable Inspection
    • Reading Stack Traces and Error Reports
    • Forming and Testing Debugging Hypotheses
    • Finding the First Incorrect State
    • Separating Symptoms from Root Causes
    • Adding a Regression Test After a Fix
  13. 13Version Control and Collaborative Changes11 temas
    • Repositories, Commits, and Change History
    • Working Trees, Staging, and Diffs
    • Writing Focused Commits
    • Branches and Parallel Work
    • Merging and Rebasing as Different History Operations
    • Resolving Conflicts with Behavioral Checks
    • Pull Requests and Reviewable Change Sets
    • Trunk-Based and Branch-Based Workflows
    • Tags and Release References
    • Reverting Changes and Recovering Safely
    • Using History and Bisection to Investigate Defects
  14. 14Dependencies, Packages, and Configuration10 temas
    • Direct and Transitive Dependencies
    • Package Manifests and Lockfiles
    • Version Constraints and Reproducible Resolution
    • Evaluating a Library Before Adoption
    • Dependency Updates and Compatibility Checks
    • Separating Application Configuration from Code
    • Validating Configuration at Startup
    • Handling Secrets Outside Source Control
    • Dependency Provenance and Supply-Chain Exposure
    • Removing Unused and Abandoned Dependencies

Etapa 2

Requirements & Design

Qué construir, y cómo darle forma

12 módulos · 127 temas

  1. 15Understanding Problems and Stakeholders10 temas
    • Starting with a Problem Rather Than a Feature
    • Identifying Users and Other Affected Groups
    • Understanding Existing Workflows
    • Interviews, Observation, and Evidence Gathering
    • Separating Stated Requests from Underlying Needs
    • Stakeholder Conflicts and Competing Priorities
    • Current-State and Desired-State Descriptions
    • Assumptions, Unknowns, and Open Questions
    • Defining Outcomes and Success Criteria
    • Deciding Whether Software Is the Right Intervention
  2. 16Requirements Specification and Validation11 temas
    • Functional Requirements and Business Rules
    • User Stories and Use Cases
    • Acceptance Criteria and Concrete Examples
    • Preconditions, Postconditions, and Exceptional Cases
    • Writing Clear and Testable Requirements
    • Ambiguity, Inconsistency, and Missing Behavior
    • Prioritizing Requirements and Defining Scope
    • Prototypes as Requirements-Discovery Tools
    • Requirements Reviews with Stakeholders
    • Traceability from Need to Implementation and Test
    • Managing Requirement Changes and Their Impact
  3. 17Quality Attributes and Engineering Constraints11 temas
    • Functional Correctness vs. Quality of Service
    • Reliability and Availability Requirements
    • Performance, Latency, and Throughput
    • Scalability and Capacity Expectations
    • Security and Privacy Requirements
    • Maintainability, Modifiability, and Testability
    • Usability and Accessibility
    • Compatibility and Portability
    • Cost, Schedule, and Resource Constraints
    • Writing Measurable Quality-Attribute Scenarios
    • Resolving Trade-Offs Between Quality Goals
  4. 18Modeling Domains and Workflows10 temas
    • Shared Vocabulary and Domain Concepts
    • Actors, Roles, and System Interactions
    • Entities, Values, and Relationships
    • Business Rules and Domain Invariants
    • State Machines and Lifecycle Models
    • Activity Flows and Decision Points
    • Sequence Diagrams and Interaction Scenarios
    • Context Boundaries and Different Meanings of the Same Term
    • Modeling Exceptions and Alternative Paths
    • Keeping Models Useful as the System Changes
  5. 19Planning Incremental Delivery10 temas
    • Turning Requirements into Small Deliverable Slices
    • Vertical Slices vs. Technical-Layer Tasks
    • Prioritizing by Value, Risk, and Dependency
    • Discovery Work and Time-Bounded Technical Spikes
    • Minimum Useful Releases
    • Making Work Ready for Implementation
    • Defining What Done Means
    • Handling Uncertainty in Estimates
    • Limiting Work in Progress
    • Reviewing Outcomes and Replanning from Evidence
  6. 20Readable and Maintainable Code11 temas
    • Names That Express Intent
    • Small, Cohesive Functions
    • Clear Control Flow and Limited Nesting
    • Consistent Conventions and Formatting
    • Comments That Explain Decisions and Constraints
    • Removing Dead Code and Misleading Abstractions
    • Duplication vs. Premature Generalization
    • Explicit Dependencies and Predictable Behavior
    • Separating Domain Rules from Technical Plumbing
    • Local Reasoning and Reducing Cognitive Load
    • Recognizing Code Smells Without Treating Them as Proof
  7. 21Modular Design and Interfaces11 temas
    • Modules as Units of Responsibility
    • Cohesion and Coupling
    • Information Hiding and Encapsulation
    • Public Contracts and Private Implementation
    • Abstract Data Types
    • Dependency Direction and Dependency Inversion
    • Composition and Replaceable Components
    • Designing Stable Module Boundaries
    • Avoiding Cyclic Dependencies
    • Balancing Reuse with Independent Change
    • Testing Modules Through Their Contracts
  8. 22Programming Paradigms and Design Choices11 temas
    • Procedural Decomposition
    • Object-Oriented Modeling
    • Objects, Responsibilities, and Collaboration
    • Inheritance and Substitutability
    • Composition vs. Inheritance
    • Functional Decomposition and Pure Functions
    • Immutability and Transformation Pipelines
    • Declarative vs. Imperative Code
    • Generic Programming and Reusable Abstractions
    • Combining Paradigms Within One System
    • Choosing a Paradigm for the Problem, Not the Fashion
  9. 23Design Patterns and Their Trade-Offs10 temas
    • Patterns as Reusable Design Ideas
    • Strategy and Interchangeable Behavior
    • Adapter and Boundary Translation
    • Factory and Controlled Object Creation
    • Decorator and Composable Responsibilities
    • Observer and Change Notification
    • Command and Explicit Operations
    • State and Behavior Across Lifecycle Stages
    • Dependency Injection and the Composition Root
    • Pattern Overuse and Accidental Complexity
  10. 24Software Architecture Fundamentals11 temas
    • Architecture as High-Impact Design Decisions
    • System Context and Architectural Boundaries
    • Components, Connectors, and Responsibilities
    • Static Structure and Runtime Behavior
    • Deployment Views and Execution Environments
    • Quality Attributes as Architectural Drivers
    • Architectural Constraints and Assumptions
    • Trade-Off Analysis and Risk Identification
    • Architecture Decision Records
    • Prototypes for Testing Architectural Assumptions
    • Architecture Evaluation and Evolution
  11. 25Architectural Styles and System Boundaries10 temas
    • Layered Architecture
    • Modular Monoliths
    • Client-Server Systems
    • Ports and Adapters
    • Event-Driven Architecture
    • Service-Oriented Decomposition
    • Microservices and Their Coordination Costs
    • Data-Centered and Pipeline Architectures
    • Synchronous vs. Asynchronous Boundaries
    • Choosing the Simplest Architecture That Meets the Requirements
  12. 26API Design and Contracts11 temas
    • APIs as Agreements Between Components
    • Resource-Oriented and Operation-Oriented Interfaces
    • Naming, Consistency, and Discoverability
    • Request and Response Models
    • Validation Rules and Error Contracts
    • Pagination, Filtering, and Sorting
    • Idempotent Operations and Retry-Safe Contracts
    • Versioning and Backward Compatibility
    • API Schemas and Machine-Readable Descriptions
    • Public, Partner, and Internal APIs
    • Designing Interfaces for Real Consumer Workflows

Etapa 3

Data & Distributed Systems

Datos que se mantienen correctos entre máquinas

10 módulos · 107 temas

  1. 27Application Data Modeling10 temas
    • Translating Domain Concepts into Stored Data
    • Identity, Keys, and Relationships
    • Required, Optional, and Derived Values
    • Enforcing Data Invariants
    • Normalization and Intentional Denormalization
    • Historical Records and Changing Business Facts
    • Modeling Status, Ownership, and Lifecycle
    • Separating Internal Models from External Representations
    • Schema Evolution and Migration Planning
    • Avoiding Data Models That Encode Accidental Assumptions
  2. 28Relational Persistence and Querying11 temas
    • Tables, Rows, and Relational Structure
    • Creating, Reading, Updating, and Deleting Records
    • Selecting, Filtering, and Ordering Data
    • Joins and Relationship Traversal
    • Aggregation and Grouping
    • Constraints and Referential Integrity
    • Parameterized Queries
    • Indexes and Query-Access Patterns
    • Object-Relational Mapping and Its Trade-Offs
    • Connection Management and Query Boundaries
    • Diagnosing Excessive Queries and Inefficient Data Access
  3. 29Files, Formats, and Alternative Storage10 temas
    • Text and Binary Data Formats
    • Serialization and Deserialization
    • Schema Validation and Format Compatibility
    • Safe File Paths and File Operations
    • Streaming Data vs. Loading Everything into Memory
    • Document Stores and Aggregate-Oriented Data
    • Key-Value Stores and Simple Access Patterns
    • Object Storage for Files and Large Blobs
    • Embedded Storage and Local Application State
    • Choosing Storage by Access, Consistency, and Operational Needs
  4. 30Transactions and Data Consistency11 temas
    • Atomicity, Consistency, Isolation, and Durability
    • Transaction Boundaries and Business Operations
    • Read and Write Anomalies
    • Isolation Levels and Their Trade-Offs
    • Optimistic and Pessimistic Concurrency Control
    • Lost Updates and Concurrent Modification
    • Constraints as a Last Line of Defense
    • Commit, Rollback, and Failure Recovery
    • Handling Duplicate Requests and Repeated Effects
    • Coordinating Database Changes with External Side Effects
    • Testing Consistency Under Concurrent Access
  5. 31Concurrency Within an Application11 temas
    • Concurrency vs. Parallelism
    • Processes, Threads, and Tasks
    • Shared Memory and Message Passing
    • Race Conditions and Nondeterministic Behavior
    • Atomicity and Visibility of Changes
    • Locks, Mutexes, and Critical Sections
    • Deadlock, Livelock, and Starvation
    • Thread-Safe Data Structures
    • Immutable Data and Ownership-Based Designs
    • Cancellation and Task Lifetimes
    • Testing Concurrent Code and Its Interleavings
  6. 32Networked Applications11 temas
    • Clients, Servers, and Request Lifecycles
    • Addresses, Ports, and Name Resolution
    • Connections, Streams, and Message Boundaries
    • HTTP Methods, Status Codes, and Headers
    • Stateless Requests and Stateful Sessions
    • TLS and Secure Transport as Application Requirements
    • Timeouts, Connection Failures, and Partial Responses
    • Connection Pools and Resource Limits
    • Proxies, Gateways, and Load Balancers
    • Network Latency and the Cost of Remote Calls
    • Diagnosing Application-Level Network Failures
  7. 33Asynchronous Work and Background Processing11 temas
    • Blocking and Nonblocking Work
    • Futures, Promises, and Asynchronous Results
    • Event Loops and Task Scheduling
    • Queues and Background Workers
    • Job State and Progress Reporting
    • Retries, Backoff, and Retry Limits
    • Duplicate Delivery and Idempotent Handlers
    • Ordering Requirements and Parallel Workers
    • Backpressure and Bounded Queues
    • Dead-Letter Handling and Failed-Job Recovery
    • Cancellation, Shutdown, and Unfinished Work
  8. 34Distributed Application Design11 temas
    • Why Remote Components Fail Independently
    • Partial Failure and Uncertain Outcomes
    • Replication and Multiple Copies of State
    • Strong and Eventual Consistency
    • Consistency and Availability During Network Partitions
    • Ordering, Clocks, and Causality
    • Delivery Guarantees vs. Processing Effects
    • Coordinating Work Across Service Boundaries
    • Sagas and Compensating Actions
    • Transactional Outbox and Reliable Event Publication
    • Choosing What Must Be Distributed and What Should Stay Together
  9. 35User Interfaces and Interaction Engineering11 temas
    • Connecting User Tasks to Interface Behavior
    • Separating Presentation from Domain Logic
    • UI State and State Transitions
    • Forms, Validation, and Error Recovery
    • Loading, Empty, Success, and Failure States
    • Responsive Behavior Across Devices
    • Semantic Structure and Assistive Technology
    • Keyboard Navigation and Focus Management
    • Localization, Text Direction, and Locale-Sensitive Data
    • Optimistic Updates and Their Failure Cases
    • Testing Usability and Accessibility with Real Workflows
  10. 36Integrating External Services10 temas
    • Evaluating an External API or SDK
    • Translating External Models at System Boundaries
    • Credentials, Permissions, and Service Configuration
    • Rate Limits and Usage Quotas
    • Webhooks and Incoming Event Validation
    • Handling Provider Outages and Degraded Responses
    • Sandboxes, Test Accounts, and Contract Differences
    • Avoiding Duplicate External Actions
    • Monitoring Integration Health and Cost
    • Provider Changes, Fallbacks, and Exit Strategies

Etapa 4

Security & Testing

La prueba de que funciona, y sigue seguro

11 módulos · 115 temas

  1. 37Secure Software Construction12 temas
    • Trust Boundaries and Untrusted Inputs
    • Secure Defaults and Least Privilege
    • Threat Modeling for a Feature or Service
    • Input Validation vs. Output Encoding
    • Preventing Injection with Safe Interfaces
    • Safe Handling of Files, Uploads, and Paths
    • Protecting State-Changing Requests
    • Restricting Server-Side Requests and External Destinations
    • Secrets Handling and Safe Logging
    • Dependency Vulnerabilities and Remediation
    • Security Tests in the Development Workflow
    • Responding to a Reported Vulnerability
  2. 38Identity, Authentication, and Authorization10 temas
    • Identity, Authentication, and Authorization as Separate Concerns
    • Users, Service Accounts, and Machine Identities
    • Sessions, Tokens, and Credential Lifetimes
    • Integrating Established Identity Providers
    • Password Handling with Established Security Libraries
    • Roles, Permissions, and Policy-Based Access
    • Object-Level and Tenant-Level Authorization
    • Enforcing Access Checks on the Trusted Side
    • Account Recovery, Revocation, and Logout Behavior
    • Auditing Sensitive Actions and Permission Changes
  3. 39Privacy and the Data Life Cycle10 temas
    • Identifying Personal and Sensitive Data
    • Data Minimization and Purpose Boundaries
    • Mapping Where Data Enters, Moves, and Leaves
    • Retention, Deletion, and Backup Implications
    • Redaction and Safe Diagnostic Data
    • Pseudonymization vs. Anonymization
    • Privacy-Preserving Test Data
    • Designing User Controls for Data Access and Export
    • Preventing Cross-Tenant Data Exposure
    • Translating Privacy Obligations into Engineering Requirements
  4. 40Test Strategy and Test Design11 temas
    • Verification vs. Validation
    • Testing as Evidence Rather Than Proof of Perfection
    • Risk-Based Test Prioritization
    • Unit, Integration, System, and Acceptance Tests
    • Example-Based Test Design
    • Equivalence Classes and Boundary Values
    • Decision Tables and State-Transition Tests
    • Happy Paths, Failure Paths, and Recovery Paths
    • Test Data and Environment Control
    • Balancing Test Speed, Fidelity, and Maintenance Cost
    • Defining a Test Strategy for a Specific System
  5. 41Unit Testing and Testable Design11 temas
    • Testing a Small Unit Through Observable Behavior
    • Arrange, Act, and Assert
    • Naming Tests as Behavioral Statements
    • Independent and Deterministic Tests
    • Stubs, Fakes, Mocks, and Spies
    • Controlling Time, Randomness, and External Dependencies
    • Testing Errors and Exceptional Conditions
    • Parameterized Tests
    • Property-Based Testing
    • Test-Driven Development and Its Trade-Offs
    • Avoiding Tests That Mirror the Implementation
  6. 42Integration, Contract, and End-to-End Testing11 temas
    • Testing Collaborating Components
    • Integration Tests with Real Persistence
    • Contract Tests Between Producers and Consumers
    • API-Level Functional Tests
    • End-to-End User Journeys
    • Test Environments and Representative Configuration
    • Fixtures, Seed Data, and Cleanup
    • Testing Background Work and Eventual Outcomes
    • Detecting and Controlling Flaky Tests
    • Interpreting Failures Across Multiple System Layers
    • Keeping Broad Tests Focused on High-Value Behavior
  7. 43Testing Quality Attributes10 temas
    • Load, Stress, and Endurance Tests
    • Measuring Latency Distributions and Throughput
    • Capacity Limits and Saturation Behavior
    • Reliability and Recovery Tests
    • Fault Injection in Controlled Environments
    • Security and Authorization Tests
    • Accessibility and Compatibility Tests
    • Migration and Data-Integrity Tests
    • Establishing Baselines and Detecting Regressions
    • Distinguishing Laboratory Results from Production Guarantees
  8. 44Diagnosing Complex Failures10 temas
    • Reconstructing a Failure from Incomplete Evidence
    • Correlating Logs, Metrics, and Traces
    • Separating Code, Data, Configuration, and Environment Causes
    • Reproducing Production Conditions Safely
    • Investigating Intermittent and Timing-Dependent Defects
    • Diagnosing Memory Leaks and Resource Exhaustion
    • Finding Bottlenecks with Profilers
    • Investigating Recent Changes with Controlled Comparisons
    • Testing a Root-Cause Explanation Against the Evidence
    • Verifying a Fix Beyond the Original Failure Case
  9. 45Refactoring and Technical Debt11 temas
    • Refactoring vs. Changing Behavior
    • Establishing a Safety Net Before Restructuring
    • Extracting Functions and Modules
    • Simplifying Conditional Logic
    • Improving Names and Data Structures
    • Removing Duplication Without Premature Abstraction
    • Introducing Seams Around Difficult Dependencies
    • Recognizing Architectural and Operational Debt
    • Intentional Trade-Offs vs. Uncontrolled Deterioration
    • Prioritizing Debt by Risk and Change Cost
    • Refactoring Incrementally While Continuing Delivery
  10. 46Reasoning About Correctness9 temas
    • Specifications as Statements of Required Behavior
    • Preconditions and Postconditions
    • Representation Invariants
    • Loop Invariants and Termination Arguments
    • State Machines and Invalid Transitions
    • Making Invalid States Harder to Represent
    • Refinement from Abstract Rules to Concrete Code
    • Model Checking as a Verification Technique
    • What Formal Reasoning Can and Cannot Guarantee
  11. 47Code Review and Static Quality Checks10 temas
    • Reviewing for Correctness, Clarity, and Maintainability
    • Preparing a Change for Efficient Review
    • Distinguishing Blocking Issues from Preferences
    • Reviewing Tests Alongside Implementation
    • Checking Error Handling and Failure Behavior
    • Reviewing Security and Data-Handling Boundaries
    • Automated Formatting and Linting
    • Type Checking and Static Analysis
    • Interpreting Warnings and False Positives
    • Giving Actionable Feedback and Resolving Disagreements

Etapa 5

Delivery & Operations

Del merge a producción, de guardia

8 módulos · 86 temas

  1. 48Build Systems and Software Artifacts10 temas
    • Source Inputs, Build Steps, and Outputs
    • Dependency Graphs and Incremental Builds
    • Toolchain Pinning and Repeatable Builds
    • Build-Time vs. Runtime Configuration
    • Packaging Libraries, Applications, and Services
    • Container Images as Deployable Artifacts
    • Artifact Versioning and Provenance
    • Software Bills of Materials
    • Build Caches and Cache Correctness
    • Producing and Promoting the Same Verified Artifact
  2. 49Continuous Integration and Delivery Pipelines10 temas
    • Integrating Small Changes Frequently
    • Pipeline Stages and Their Responsibilities
    • Fast Feedback and Early Failure Detection
    • Automated Tests and Quality Gates
    • Branch Protection and Required Checks
    • Pipeline Permissions and Secret Boundaries
    • Artifact Storage and Promotion
    • Parallel Work and Pipeline Dependencies
    • Handling Failing and Flaky Pipelines
    • Maintaining Delivery Automation as Production Code
  3. 50Environments, Deployment, and Release Management12 temas
    • Development, Test, Staging, and Production Environments
    • Environment Parity and Configuration Differences
    • Deployment vs. Release
    • Release Readiness and Change Approval
    • Feature Flags and Controlled Exposure
    • Rolling, Blue-Green, and Canary Deployments
    • Database Migrations During Application Rollout
    • Health Checks and Startup Validation
    • Rollback vs. Roll-Forward Recovery
    • Release Notes and Operational Communication
    • Verifying User-Visible Behavior After Deployment
    • Retiring Flags and Temporary Release Mechanisms
  4. 51Observability and Production Feedback11 temas
    • Designing Software to Explain Its Behavior
    • Structured Logs and Correlation Identifiers
    • Metrics, Counters, Gauges, and Histograms
    • Distributed Tracing and Request Paths
    • User-Centered Indicators and Technical Indicators
    • Instrumenting Critical Business Flows
    • High-Cardinality Data and Telemetry Cost
    • Dashboards That Support Specific Decisions
    • Actionable Alerts and Alert Fatigue
    • Protecting Sensitive Data in Telemetry
    • Turning Production Evidence into Engineering Work
  5. 52Reliability, Recovery, and Incident Response11 temas
    • Defining Reliability from the User's Perspective
    • Service-Level Indicators and Objectives
    • Error Budgets and Reliability Trade-Offs
    • Timeouts, Retries, and Cascading Failure
    • Circuit Breakers, Bulkheads, and Load Shedding
    • Graceful Degradation and Reduced Functionality
    • Backup, Restore, and Recovery Verification
    • On-Call Readiness and Incident Roles
    • Stabilization, Communication, and Recovery
    • Blameless Post-Incident Analysis
    • Turning Incident Findings into Verified Improvements
  6. 53Performance and Resource Efficiency11 temas
    • Measuring Before Optimizing
    • Latency, Throughput, and Resource Consumption
    • Averages, Percentiles, and Tail Behavior
    • CPU-Bound and I/O-Bound Work
    • Algorithmic Improvements vs. Local Optimizations
    • Caching and Cache Invalidation
    • Batching, Pagination, and Streaming
    • Reducing Database and Network Round Trips
    • Memory Use, Allocation, and Resource Pooling
    • Controlling Concurrency and Avoiding Overload
    • Balancing Speed, Cost, Energy Use, and Complexity
  7. 54Legacy Systems and Maintenance11 temas
    • Understanding a System Without Complete Documentation
    • Corrective, Adaptive, Preventive, and Perfective Maintenance
    • Recovering Intent from Code, Tests, and History
    • Characterization Tests for Existing Behavior
    • Identifying Hidden Dependencies
    • Working Around Unsupported Components
    • Incremental Replacement and the Strangler Approach
    • Data Migration and Reconciliation
    • Managing Old and New Implementations Together
    • Avoiding Unnecessary Full Rewrites
    • Planning Safe Retirement and Decommissioning
  8. 55Compatibility and Software Evolution10 temas
    • Source, Binary, Behavioral, and Data Compatibility
    • Public Contracts and Accidental Contracts
    • Semantic Versioning and Its Limits
    • Additive Changes and Breaking Changes
    • Deprecation Policies and Migration Guidance
    • API and Event-Schema Evolution
    • Expand-and-Contract Database Changes
    • Mixed-Version Systems During Rollout
    • Preserving User Data and Existing Workflows
    • Testing Upgrade, Downgrade, and Recovery Paths

Etapa 6

Professional Practice

El lado de equipo del trabajo

6 módulos · 61 temas

  1. 56Documentation and Knowledge Transfer9 temas
    • Documentation for Users, Developers, and Operators
    • README Files and Getting-Started Paths
    • API References and Practical Examples
    • Architecture Views and Decision Records
    • Runbooks and Troubleshooting Guides
    • Explaining Assumptions, Constraints, and Known Limits
    • Documentation Close to the Code
    • Keeping Documentation Current Through the Change Process
    • Handoffs, Onboarding, and Reducing Single-Person Dependency
  2. 57Teamwork and Engineering Communication10 temas
    • Shared Ownership and Clear Responsibilities
    • Working with Product Managers and Designers
    • Communicating with Nontechnical Stakeholders
    • Writing Useful Issues and Technical Proposals
    • Design Reviews Before Expensive Commitments
    • Pairing, Mentoring, and Collaborative Problem Solving
    • Asynchronous Collaboration and Decision Visibility
    • Managing Dependencies Between Teams
    • Escalating Risks and Blockers Early
    • Disagreeing Constructively and Recording Decisions
  3. 58Engineering Management and Software Economics11 temas
    • Estimating Effort Under Uncertainty
    • Scope, Time, Cost, and Quality Trade-Offs
    • Risk Identification and Contingency Planning
    • Build vs. Buy vs. Reuse
    • Total Cost of Ownership
    • Opportunity Cost and Cost of Delay
    • Capacity Planning Without Treating People as Interchangeable
    • Managing Technical and Organizational Dependencies
    • Forecasting with Ranges and Evidence
    • Communicating Progress Through Outcomes and Risks
    • Knowing When to Continue, Simplify, or Stop
  4. 59Process Improvement and Engineering Quality10 temas
    • Processes as Tools Rather Than Goals
    • Agile Principles and Feedback Cycles
    • Scrum, Kanban, and Context-Appropriate Practices
    • Work in Progress, Queues, and Flow
    • Retrospectives and Small Improvement Experiments
    • Defect Prevention vs. Defect Detection
    • Delivery Speed, Change Failure, and Recovery Measures
    • Avoiding Vanity Metrics and Perverse Incentives
    • Quality Assurance Across the Life Cycle
    • Improving Systems of Work Without Blaming Individuals
  5. 60Ethics and Professional Responsibility10 temas
    • Public Interest and Responsibility for Software Impact
    • Safety-Critical Contexts and Limits of Competence
    • Honest Claims About Capabilities and Limitations
    • Accessibility, Exclusion, and Unequal User Impact
    • Privacy, Consent, and Responsible Data Use
    • Intellectual Property and Open-Source License Awareness
    • Conflicts of Interest and Professional Independence
    • Reporting Risks and Unsafe Practices
    • Sustainable Choices and Long-Term Stewardship
    • Accountability for Decisions Made with Automated Tools
  6. 61AI-Assisted Software Engineering11 temas
    • Appropriate Uses for Code-Generation and Assistance Tools
    • Providing Relevant Context and Explicit Constraints
    • Decomposing Work into Reviewable Tasks
    • Checking Generated Code Against Actual Requirements
    • Verifying APIs, Dependencies, and Technical Claims
    • Reviewing Security, Privacy, and Licensing Exposure
    • Using Independent Tests and Reference Behavior
    • Bounded Tool Access and Human Approval
    • Avoiding Automation of Unverified Assumptions
    • Measuring Whether Assistance Improves Quality and Delivery
    • Maintaining Human Ownership of the Final Result

Etapa 7

Integrated Projects

Diez proyectos, de principio a fin

1 módulo · 10 temas

  1. 62Integrated Software Engineering Projects10 temas
    • A Command-Line Application with Validation and Automated Tests
    • A Reusable Library with Stable Contracts and Documentation
    • A Data-Backed Application with Explicit Business Rules
    • An API Service with Authentication and Authorization Tests
    • A Background-Job System That Handles Retries and Duplicates
    • An Accessible User Interface Connected to a Tested Service
    • An External-Service Integration with Controlled Failure Handling
    • A Legacy Refactoring with Characterization and Regression Tests
    • A Production Release with Observability and a Recovery Exercise
    • A Complete Software Product from Requirements to Maintenance Plan

Quince minutos.Cada día.

  1. 1

    Una lección cabe en la pausa de la comida

    Una idea cada vez, en diapositivas breves. Una lección entera dura unos quince minutos.

  2. 2

    Práctica con corrección al instante

    Las preguntas van dentro de la lección. Responde y ve al instante si lo has entendido.

  3. 3

    Una racha que te hace volver

    Una lección al día mantiene viva la racha. Sesiones cortas y constantes te llevan hasta el final.

Del primer commit a senior.

A dónde lleva este curso.

El trabajo en torno al que está construido este curso, y cómo se entra en él.

Software Engineer

Diseña, escribe y mantiene el software con el que funciona una empresa.

Todas las carreras del futuro

En el trabajo

  • Dividir una funcionalidad en código que otros puedan mantener
  • Revisar el cambio de un compañero y encontrar el bug antes que los usuarios
  • Mantener un sistema rápido y en marcha a medida que crece

Cómo se entra

Un título ayuda, pero no se exige en todas partes. Los empleadores miran con atención los proyectos reales, el código en GitHub y una entrevista técnica.

Sé de los primeros.

Acceso anticipado para particulares, pilotos para equipos. Cuéntanos quién va a aprender.

enterprise@astratrainer.com