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Inicio / Cursos / The Complete dbt Bootcamp: Zero to Hero + Certification Prep
Impartido por Zoltan C. TothPago único de $2,800 MXN · acceso por 12 meses

The Complete dbt Bootcamp: Zero to Hero + Certification Prep

ALL-IN-ONE Bootcamp for Master dbt hands-on and get dbt Certification-ready

Certificado oficial emitido por la SEPA través del Gobierno del Estado de México
12 meses de acceso En línea · 60 h 34 unidades
Qué aprenderás

Lo que serás capaz de hacer

Become a dbt professional from scratch with this single course solving a real-world problem step by step, covering both theory and hands-on practice. Whether you want to level up your analytics engineering skills or earn the dbt Analytics Engineering Certification , this course takes you all the way: Zero to Hero. In a hurry? The basic and intermediate topics are compressed to the first 3-4 hours of the course. Want to get Certified? The course now covers every topic required in the 2026 Analytics Engineering Certification Exam and features a sample certification test. This is the MOST COMPLETE, CONTINUOUSLY UPDATED independent dbt course in the world, now fully aligned with the 2026 dbt Certification exam . Every certification topic is covered in depth. Not planning to get certified? No problem - the same hands-on lessons make you job-ready either way. Delivered by an instructor with 20+ years of Data Engineering experience. This is the TOP RATED and BESTSELLER dbt course on Udemy. "Fantastic course. Well-chosen examples perfectly illustrate the many features that are covered. The pacing is spot on and it is easy to replicate the examples." "Excellent course! Edit: I managed to pass the dbt certification exam. I couldn't have done it without your help! Again, it's an awesome course!" "I love how you're explaining everything at just the right level!" The structure of the course is designed to have a top-down approach. It starts with the Analytics Engineering Theory - all you need to know to put dbt (Data Build Tool) in context and to have an understanding of how it fits into the modern data stack. We start with the big picture; then, we go deeper and deeper. Once you learn about the pieces, we will shift to the technicalities - a practical section - which will focus on putting together the dbt “puzzle”. The practical section will cover each and every single dbt feature present today through the construction of a complete, real-world project; Airbnb. This presents an opportunity for us to show you which features should be used at what stage in a given project, and you will see how dbt is used in the industry. PRACTICAL SECTION: The practical section will go through a real-world Airbnb project where you will master the ins and outs of dbt! We put special focus on getting everyone up and ready before the technical deep dive; hence we will start off by setting up our Development Environment: MAC Development Environment Setup WINDOWS Development Environment Setup Creation and Activation of Virtual Environments Installing dbt Setting up our Database Once we are ready - among several other technical topics, the following features will be covered; dbt Models dbt Materializations dbt Tests: Generic and Singular tests, Unit tests, Custom Tests, Data Contracts, and advanced testing techniques dbt Documentation dbt Sources, Seeds, Snapshots dbt Hooks and Operations Jinja and Macros dbt Packages dbt Fusion Visual Studio Code Extensions Analyses, Exposures dbt Seeds Data Visualization and BI (Preset) Working with Great Expectations (dbt-expectations) Debugging tests in dbt dbt Orchestration Python Models Constraints Comprehensive overview of Selectors Most useful commands for speeding up dbt work Microbatching Model Versioning, Deprecation and Disabling Models dbt in Production / Slim CI / defer / PRs / Production Best Practices Certification Preparation Guide and Practice Test sample Once the theory and the practical stages are finished, we will dive into the best practices and more advanced topics. The course is continuously updated; whenever dbt publishes an update, we adjust the course accordingly, so you always be up to date! THEORETICAL SECTION: Among several other topics, the theoretical section puts special emphasis on transferring knowledge in the following areas; Data-Maturity Model Well-functioning Data Architectures Data Warehouses, Data Lakes, and Data Lakehouses ETL and ELT procedures and Data Transformations Fundamentals of dbt (Data Build Tool) Analytics Engineering Modern Data Stack Slowly Changing Dimensions CTEs Once we understand the theoretical layer and how dbt fits into the picture, we will start building out a dbt project from scratch, just as you would do in the real world. Who is this course for? Data Engineers Data Analysts Data Scientists BI Developers BI Analyst ... and anyone who interacts with data lake/data warehouse/data lakehouse or uses SQL! Course Level Explained (Zero > Hero) The course has no expectations about your abilities and starts education from zero. Every exercise is an unavoidable step in your studies. In the same way, don't start an exercise of a superior level without completing the preceding ones: you will be in difficulty if you do so. Practice is the only way to learn, and it cannot be taken lightly. We will be next to you along the journey and you have our absolute support! When the Airbnb project is presented to you, you must do it entirely, without omitting any guidelines, and by understanding the objective. A project "almost completely" done is often a project "totally incomplete" for us. Give special attention to detail. Your only reliable source of information regarding the instructions is the pedagogical team, don't trust the "I've heard". By the time you complete the course, you will be equipped with both a very solid theoretical understanding and practical expertise with dbt. All the fundamentals, dbt features, best practices, advanced techniques and more will be covered in our course, which will make you become a master in dbt. Are you ready? ;) How to get help? We just published our initial round of Discussions on Udemy which is the easiest and most efficient way for you to post questions, receive answers, and peruse questions from other students. If you have questions or feedback, please reach out to us! That wraps it up for us for now! Once again, thank you for being a part of this course. We can't wait to get started with you soon! All the best, Zoltan C. Toth dbt Mark and the dbt logo are trademarks of dbt Labs, Inc.

  • Learn to use the dbt platform professionally through the creation of an exhaustive, real-world, hands-on dbt - Airbnb project covering both Theory and Practice
  • Set up the complete development environment on Mac & Windows, Connect to Snowflake and BI, Configure dbt profile, extend the IDE with dbt tools
  • Learn core dbt concepts such as Models, Materialization, Sources, Seeds, Snapshots, Packages, Hooks, Exposures, Analyses, write complex SQL queries
  • Understand the dbt project structure and learn about dbt tips & tricks, advanced techniques and best practices, extend dbt with your own / third-party macros
  • Implement singular and generic dbt tests, work with additional arguments and default config values, customize dbt built-in tests
  • Document your models and pipeline, customize the dbt docs page, Explore and analyse dependencies between transformation steps

Temario

UNIDAD 1 - Course Introduction · 4 lecciones

UNIDAD 1 - Course Introduction

  • What is dbt and Why should you use it?Video · 5 min
  • How can you take the most out of this course?Video · 3 min
  • ESSENTIAL READ ME - Course ResourcesLectura · 0 min
  • How this Course Helps You Pass the Analytics Engineer Certification ExamVideo · 1 min
UNIDAD 2 - Building the first version of our Project · 11 lecciones

UNIDAD 2 - Building the first version of our Project

  • Use-case and Input Data Model OverviewVideo · 6 min
  • Snowflake RegistrationVideo · 3 min
  • Snowflake's Authentication types and the Key-Pair AuthenticationVideo · 4 min
  • Automatic Snowflake Data ImportVideo · 3 min
  • ONLY FOR REFERENCE - Snowflake Behind the ScenesVideo · 14 min
  • dbt Roles, Users and Database Tables overviewVideo · 3 min
  • Installing dbtVideo · 6 min
  • dbt Project SetupVideo · 8 min
  • Say Hello to our dbt Project FolderVideo · 3 min
  • Visual Studio Code Extensions OverviewVideo · 6 min
  • Datasets and Data Flow OverviewVideo · 5 min
UNIDAD 3 - Models · 7 lecciones

UNIDAD 3 - Models

  • Learning Objectives - ModelsVideo · 1 min
  • Models OverviewVideo · 1 min
  • Theory: CTE - Common Table ExpressionsVideo · 3 min
  • DeprecationWarning - a dbt bugLectura · 0 min
  • Creating our first model: Airbnb listingsVideo · 11 min
  • Models QuizCuestionario · 0 min
  • Create the src_hosts modelCuestionario · 20 min
UNIDAD 4 - Materializations · 8 lecciones

UNIDAD 4 - Materializations

  • Learning Objectives - MaterializationsVideo · 1 min
  • Materializations OverviewVideo · 4 min
  • Model Dependencies and dbt's ref tagVideo · 10 min
  • Table type materialization & Project-level Materialization configVideo · 3 min
  • Incremental materializationVideo · 8 min
  • Incremental StrategiesVideo · 2 min
  • Ephemeral materializationVideo · 10 min
  • Quiz - MaterializationsCuestionario · 0 min
UNIDAD 5 - Seeds and Sources · 5 lecciones

UNIDAD 5 - Seeds and Sources

  • Learning Objectives - Seeds and SourcesVideo · 0 min
  • Seeds and Sources OverviewVideo · 1 min
  • SeedsVideo · 5 min
  • SourcesVideo · 4 min
  • Source Freshness ChecksVideo · 4 min
UNIDAD 6 - Snapshots · 6 lecciones

UNIDAD 6 - Snapshots

  • Learning Objectives - SnapshotsVideo · 1 min
  • Snapshots OverviewVideo · 3 min
  • Create a SnapshotVideo · 12 min
  • Snapshots - Assignment BriefingVideo · 1 min
  • Assignment: Create a Snapshot for the Hosts SourceCuestionario · 15 min
  • Snapshots QuizCuestionario · 0 min
UNIDAD 7 - Tests · 11 lecciones

UNIDAD 7 - Tests

  • Learning objectives - TestsVideo · 0 min
  • Tests OverviewVideo · 2 min
  • Generic TestsVideo · 6 min
  • Create Generic TestsCuestionario · 20 min
  • Debugging dbt TestsVideo · 2 min
  • Saving Test Failures to the Data WarehouseVideo · 2 min
  • Saving Test Failures into a Custom DB SchemaVideo · 2 min
  • Singular TestsVideo · 2 min
  • Unit TestsVideo · 4 min
  • Create your own singular testCuestionario · 20 min
  • Tests QuizCuestionario · 0 min
UNIDAD 8 - Advanced Testing: Contracts and Custom Generic Tests · 6 lecciones

UNIDAD 8 - Advanced Testing: Contracts and Custom Generic Tests

  • Data ContractsVideo · 5 min
  • Custom Generic TestsVideo · 3 min
  • Custom Tests with ParametersVideo · 2 min
  • Setting the Tests' Severity: Warning vs ErrorVideo · 2 min
  • Add your tests to dim_hosts_cleansedCuestionario · 15 min
  • dbt Constraints: Test at Insert TimeVideo · 6 min
UNIDAD 9 - Jinja, Macros and Packages · 10 lecciones

UNIDAD 9 - Jinja, Macros and Packages

  • Jinja BasicsVideo · 2 min
  • dbt fusion compatibiltyLectura · 0 min
  • Let's take Jinja for a DriveVideo · 1 min
  • dbt-Specific Jinja FeaturesVideo · 3 min
  • Create Your Own MacrosVideo · 2 min
  • Advanced JinjaVideo · 3 min
  • Advanced Macros in ActionVideo · 4 min
  • Assignment: Macros Output FormattingCuestionario · 10 min
  • Installing Third-Party PackagesVideo · 12 min
  • Quick Macros QuizCuestionario · 0 min
UNIDAD 10 - Documentation · 7 lecciones

UNIDAD 10 - Documentation

  • Learning Objectives - DocumentationVideo · 1 min
  • Documentation OverviewVideo · 2 min
  • Writing and Exploring Basic DocumentationVideo · 8 min
  • Markdown-based Docs, Custom Overview Page and AssetsVideo · 9 min
  • The Linage Graph (Data Flow DAG)Video · 6 min
  • Document the dim_hosts_cleansed tableCuestionario · 10 min
  • Documentation quizCuestionario · 0 min
UNIDAD 11 - Analyses, Hooks and Exposures · 11 lecciones

UNIDAD 11 - Analyses, Hooks and Exposures

  • Learning Objectives - Analyses, Hook and ExposuresVideo · 1 min
  • AnalysesVideo · 3 min
  • HooksVideo · 6 min
  • Grants - Managing Permissions in dbt the Modern WayVideo · 3 min
  • Nov 2025 - Snowflake Authentication UpdateLectura · 0 min
  • USERNAME/PASSWORD VERSION - Setting up a BI Dashboard in Snowflake and PresetVideo · 10 min
  • KEYPAIR - Say Hi to our BI Tool - preset.ioVideo · 2 min
  • KEYPAIR - Set up a BI Dashboard with our Final TablesVideo · 5 min
  • READ ME - Exposures naming convention changes in recent dbt releasesLectura · 0 min
  • ExposuresVideo · 4 min
  • Hooks QuizCuestionario · 0 min
UNIDAD 12 - dbt Hero · 1 lecciones

UNIDAD 12 - dbt Hero

  • Welcome to HeroVideo · 1 min
UNIDAD 13 - Debugging Tests and Testing with dbt-expectations · 11 lecciones

UNIDAD 13 - Debugging Tests and Testing with dbt-expectations

  • A note on the dbt-expectations setupLectura · 0 min
  • Annoucement for dbt 1.10+ usersVideo · 1 min
  • Great Expectations OverviewVideo · 14 min
  • Comparing row counts between modelsVideo · 4 min
  • Looking for outliers in your dataVideo · 3 min
  • Implementing test warnings for extremal itemsVideo · 4 min
  • Validating column typesVideo · 2 min
  • Monitoring categorical variables in the source dataVideo · 4 min
  • Debugging dbt tests and Working with regular expressionsVideo · 15 min
  • dbt-expectations and test debugging quizCuestionario · 0 min
  • Course Feedback and Moving onCuestionario · 5 min
UNIDAD 14 - Debugging with Logging · 4 lecciones

UNIDAD 14 - Debugging with Logging

  • Logging to the dbt Log FileVideo · 3 min
  • Logging to the ScreenVideo · 1 min
  • Disabling Log MessagesVideo · 2 min
  • A short knowledge checkCuestionario · 0 min
UNIDAD 15 - Debugging YAML, SQL, models and General dbt Bugs · 4 lecciones

UNIDAD 15 - Debugging YAML, SQL, models and General dbt Bugs

  • An Overview of Advanced dbt CommandsVideo · 5 min
  • Taking Debugging Commands to ActionVideo · 4 min
  • Speeding up Development with --empty and Sampling (--sample)Video · 5 min
  • Using FlagsVideo · 1 min
UNIDAD 16 - Tags and Selectors · 3 lecciones

UNIDAD 16 - Tags and Selectors

  • TagsVideo · 3 min
  • Model Selection Deep DiveVideo · 8 min
  • YAML SelectorsVideo · 5 min
UNIDAD 17 - Python Models · 5 lecciones

UNIDAD 17 - Python Models

  • Python Models OverviewVideo · 3 min
  • Implementing a Simple Python ModelVideo · 3 min
  • Using Snowflake's Pandas-compatible connectorLectura · 0 min
  • Advanced Python ModelsVideo · 7 min
  • Assignment - Create a Python Model to Extract Sentiment ScoresCuestionario · 20 min
UNIDAD 18 - Using Variables · 6 lecciones

UNIDAD 18 - Using Variables

  • Working with Jinja VariablesVideo · 3 min
  • A note for Windows users using cmdLectura · 0 min
  • Working with dbt VariablesVideo · 4 min
  • Setting Default ValuesVideo · 3 min
  • Using Date Ranges to Make Incremental Models Production-ReadyVideo · 5 min
  • A quick quiz on variablesCuestionario · 0 min
UNIDAD 19 - dbt in Production - Microbatching Incremental Models · 2 lecciones

UNIDAD 19 - dbt in Production - Microbatching Incremental Models

  • MicrobatchingVideo · 7 min
  • Excluding Models from Full RefreshVideo · 2 min
UNIDAD 20 - dbt in Production - Model Lifecycle - Versioning, Deprecating, Disabling Models · 4 lecciones

UNIDAD 20 - dbt in Production - Model Lifecycle - Versioning, Deprecating, Disabling Models

  • Model Lifecycle IntroductionVideo · 4 min
  • Model VersioningVideo · 6 min
  • Deploying and Deprecating VersionsVideo · 2 min
  • Disabling ModelsVideo · 1 min
UNIDAD 21 - dbt in Production - Preparing a Project for Slim CI · 10 lecciones

UNIDAD 21 - dbt in Production - Preparing a Project for Slim CI

  • Slim CI Introduction and Learning ObjectivesVideo · 1 min
  • Working with Multiple TargetsVideo · 3 min
  • Using Environment VariablesVideo · 6 min
  • Setting Up Your Environment Variables for a Production-Ready ProfileVideo · 3 min
  • Custom Schemas: Separating Production and Development EnvironmentsVideo · 4 min
  • Cleaning Up Development SchemasVideo · 3 min
  • Retrying Failed Executions - --retryVideo · 2 min
  • Comparing Production and Development StateVideo · 5 min
  • Using --defer for a Production-Ready Developer ExperienceVideo · 3 min
  • A Case Study - How Bitrise manages 1200+ models in productionVideo · 25 min
UNIDAD 22 - Implementing an End-to-End Slim-CI-Based Production System · 6 lecciones

UNIDAD 22 - Implementing an End-to-End Slim-CI-Based Production System

  • Slim CI Workflow OverviewVideo · 4 min
  • Integration and Deployment Using Github ActionsVideo · 3 min
  • GitHub Secrets - Storing Credentials Sensitive DataVideo · 1 min
  • Production Pipelines and ArtifactsVideo · 5 min
  • Creating and Testing Feature Branches and Integrating to ProductionVideo · 7 min
  • Automized Production Deployment and Development Environment CleanupVideo · 4 min
UNIDAD 23 - dbt Fusion and the Official Visual Studio Code Extension · 15 lecciones

UNIDAD 23 - dbt Fusion and the Official Visual Studio Code Extension

  • dbt Fusion - IntroductionVideo · 1 min
  • Exploring the Technical Differences Between dbt Fusion and dbt CoreVideo · 3 min
  • dbt Fusion Feature MatrixVideo · 1 min
  • Licence ChangesVideo · 2 min
  • Instructions if you want to use our Plug-and-Play CodeSpaceVideo · 1 min
  • dbt Fusion and the VSCode Extension Installation and WalkthroughVideo · 4 min
  • dbt Fusion Installation for Production SystemsVideo · 1 min
  • Running dbt Core and dbt Fusion side by sideVideo · 2 min
  • Upgrade your Projects to Fusion and dbt 1.10+ using dbt-autofixVideo · 2 min
  • Building our Project with FusionVideo · 2 min
  • Official VSCode Extension - Development Workflow & ExecutionVideo · 5 min
  • Official VSCode Extension - Navigation & Code Intelligence FeaturesVideo · 5 min
  • Official VSCode Extension - Project and Column-Level LineageVideo · 3 min
  • Upgrading Fusion with the dbtf System UtilityVideo · 1 min
  • dbt Fusion QuizCuestionario · 0 min
UNIDAD 24 - Orchestrating dbt with Dagster · 7 lecciones

UNIDAD 24 - Orchestrating dbt with Dagster

  • Overview of the Popular dbt Orchestration Tools and how to Choose the Right ToolVideo · 15 min
  • A Note on Installing DagsterLectura · 0 min
  • Creating a Dagster project and connecting it to our dbt ProjectVideo · 3 min
  • Dagster dbt files and UI OverviewVideo · 5 min
  • Manage, Orchestrate and Debug your dbt Project with DagsterVideo · 11 min
  • A Note on the Advanced Dagster SectionLectura · 0 min
  • Advanced Dagster: Using Partitions with Incremental ModelsVideo · 26 min
UNIDAD 25 - Capstone Project · 2 lecciones

UNIDAD 25 - Capstone Project

  • Capstone Project BriefingVideo · 2 min
  • Capstone Project InstructionsCuestionario · 2 h
UNIDAD 26 - An alternative VSCode Extension - Power User for dbt Core · 15 lecciones

UNIDAD 26 - An alternative VSCode Extension - Power User for dbt Core

  • dbt Power User - Extension and Codespace IntroductionVideo · 3 min
  • dbt Power User OverviewVideo · 1 min
  • dbt Power User - SetupVideo · 5 min
  • Sign Up for a Free AccountVideo · 6 min
  • dbt Power User - Working with and Fixing Legacy CodeVideo · 5 min
  • dbt Power User - Review Existing FoundationVideo · 2 min
  • The Prompt we use for AI Model BuildingLectura · 0 min
  • dbt Power User - Building Models with AIVideo · 14 min
  • dbt Power User - Compiling and Running ModelsVideo · 10 min
  • dbt Power User - Use AI to Generate DocumentationVideo · 8 min
  • dbt Power User - Creating Data Quality TestsVideo · 5 min
  • dbt Power User - Project Health CheckVideo · 2 min
  • dbt Power User - RecapVideo · 2 min
  • Altimate Code: A Coding Agent for dbtVideo · 15 min
  • dbt Power User - What's Next?Video · 3 min
UNIDAD 27 - Best Practices for Introducing and Using dbt in your Company · 1 lecciones

UNIDAD 27 - Best Practices for Introducing and Using dbt in your Company

  • An interview with the Data Utilization Head of the Vienna Insurance GroupVideo · 22 min
UNIDAD 28 - dbt Certification Exam Preparation Guide · 4 lecciones

UNIDAD 28 - dbt Certification Exam Preparation Guide

  • Guide and Resources to the Certification Preparation SectionLectura · 0 min
  • How to prepare for the certification exam? An interview with Muizz LateefVideo · 30 min
  • 2026 Analytics Engineer Certification Reflection and Preparation GuideVideo · 16 min
  • Knowledge Check / dbt Analytics Engineer Certification Exam SampleCuestionario · 1 min
UNIDAD 29 - REFERENCE - Theory 1 - The Data Maturity Model · 4 lecciones

UNIDAD 29 - REFERENCE - Theory 1 - The Data Maturity Model

  • Introduction - Maslow's Pyramid of DataVideo · 3 min
  • The Data Maturity ModelVideo · 4 min
  • ETL and ELTVideo · 3 min
  • The Data Maturity ModelCuestionario · 0 min
UNIDAD 30 - REFERENCE - Theory 2 - Data Warehouses, Data Lakes and Lakehouses · 5 lecciones

UNIDAD 30 - REFERENCE - Theory 2 - Data Warehouses, Data Lakes and Lakehouses

  • Data Warehousing - a short introductionVideo · 4 min
  • External Tables and Cloud Data WarehousesVideo · 2 min
  • Data LakesVideo · 1 min
  • Data LakehouseVideo · 1 min
  • Data Warehouses, Data Lakes and LakehousesCuestionario · 0 min
UNIDAD 31 - REFERENCE - Theory 3 - The Modern Data Stack · 2 lecciones

UNIDAD 31 - REFERENCE - Theory 3 - The Modern Data Stack

  • The Modern Data StackVideo · 14 min
  • The Modern Data StackCuestionario · 0 min
UNIDAD 32 - REFERENCE - Theory 4 - Slowly Changing Dimension (SCD) · 6 lecciones

UNIDAD 32 - REFERENCE - Theory 4 - Slowly Changing Dimension (SCD)

  • The Basics of Slowly Changing DimensionsVideo · 1 min
  • Type 0 - Retain OriginalVideo · 1 min
  • Type 1 - OverwriteVideo · 2 min
  • Type 2 / SCD2 - Add New RowVideo · 2 min
  • Type 3 - Add New AttributeVideo · 2 min
  • Slowly Changing Dimension (SCD)Cuestionario · 0 min
UNIDAD 33 - REFERENCE - Python Installation · 2 lecciones

UNIDAD 33 - REFERENCE - Python Installation

  • Which Python Version should I install?Lectura · 0 min
  • OPTIONAL - WINDOWS - Installing Python and pipVideo · 3 min
UNIDAD 34 - Bonus Lecture · 1 lecciones

UNIDAD 34 - Bonus Lecture

  • Bonus LectureLectura · 0 min
Certificado oficial

Tu certificado lo emite la SEP, no solo una plataforma

Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.

Tu certificado con INEC

  • Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
  • Documento oficial con folio verificable en línea
  • Lo otorga la Universidad Tecnológica Fidel Velázquez

Otras plataformas en línea

  • Constancia privada emitida por la misma plataforma
  • Solo acredita horas cursadas o asistencia
  • Sin respaldo de una autoridad educativa
Cómo funciona

Tu itinerario, de la inscripción al certificado

  1. 1

    Inscripción con pago único

    Pagas $2,800 MXN una sola vez y entras de inmediato al curso.

  2. 2

    Estudias a tu ritmo

    34 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.

  3. 3

    Cuestionarios por unidad

    26 cuestionarios para comprobar lo aprendido.

  4. 4

    Certificado

    Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.

Lo que obtienes

Un certificado oficial de la SEP

Muestra del certificado: The Complete dbt Bootcamp: Zero to Hero + Certification Prep

Muestra · verificable por folio y QR

  • Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
  • Contenido impartido por Zoltan C. Toth.
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  • 34 unidades · 206 lecciones · 60 h
  • 12 meses de acceso
  • 26 cuestionarios de evaluación
  • Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
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