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Backend Engineering with Go

The complete guide for building and deploying production web APIs in Golang (PostgreSQL, Docker and Google Cloud)

  1. Topics
  2. Development
  3. Go Programming Language

Backend Engineering with Go

InstructorTiago Taquelim
Duration17h 8m
Students9,701
Rating4.4 (861)
Sponsored
Price
$17.99
Coupon
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Comidoc Analysis

Production-ready Go API development with advanced architectural patterns

Editorial course preview

What the public course preview actually shows

These 2 complementary views highlight concrete, legible examples from the course presentation.

Preview 1 of 2

A code editor displaying Go source code for an API server, flanked by a file explorer and a course content sidebar listing backend topics.

Preview 2 of 2

A code editor displays Go source code for API routing and server setup, alongside a course curriculum sidebar listing sections on testing and rate limiting.

Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.

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Strengths

Advanced Backend Infrastructure

The technical path covers sophisticated topics including Redis caching, rate limiting, and CI/CD automation.

Concrete Pattern Implementation

Instruction includes step-by-step coding for the Repository Pattern and practical concepts like graceful shutdown.

Limitations

Inconsistent Instructional Flow

The lecture progression can feel confusing, occasionally lacking clear explanations for specific design decisions.

Best suited to

  • Developers transitioning to backend engineering
  • Engineers seeking practical cloud deployment workflows
  • Learners interested in Go concurrency and database patterns

Less suited to

  • Those preferring highly structured or predictable instructional pacing
  • Learners who require highly articulated design decision explanations

Comidoc Score

6.4/10

Worth considering
Defined audience

Comidoc verdict

The learning path moves from basic Go networking to a full-scale production deployment on Google Cloud. It emphasizes essential backend engineering skills, such as implementing the Repository Pattern for PostgreSQL and managing concurrency with Goroutines and Mutexes.

The technical depth is significant, particularly regarding Redis caching and CI/CD workflows. However, the experience is hampered by inconsistent instructional clarity; some learners find the lecturer's train of thought difficult to follow during live coding sessions, and others report a pacing that requires frequent pausing.

This course is best suited for developers who prioritize high-level technical coverage and are comfortable navigating a less predictable instructional style to gain practical deployment skills.

Score breakdown

Curriculum depth
9.5

The curriculum provides significant coverage of advanced Go concurrency, database patterns, and caching layers.

Applied learning
5.8

The course is project-led, covering API construction and cloud deployment, though resource availability varies.

Clarity & experience
3.5

Instructional signals suggest difficulties with lecture flow and pacing.

Currency & reliability
5.0

The available evidence does not establish enough about current reliability to move this dimension away from neutral.

Audience fit
5.8

Variable Pacing and Resource Availability

Learners have noted a need for frequent pausing to follow coding examples, alongside difficulty due to missing code snippets.

The curriculum aligns with the goal of building production APIs for developers with basic Go knowledge.

More Related Topics

  • API Development & Design459
  • PostgreSQL Database339
  • Docker & Containerization759
  • Google Cloud Platform324
  • Go Programming Basics20
  • Concurrency & Parallelism116
  • gRPC Framework27
  • Protocol Buffers11
  • Advanced Go Features5
  • Backend Development483