Online
On-site
Hybrid

Advanced GoLang Bootcamp (AWS + EKS + Terraform + GitLab CI/CD)

Build a strong foundation in production-grade Go backend engineering, from clean architecture to secure APIs and enterprise observability. Learn how to build, containerize, test, and deploy microservices with PostgreSQL, authentication, metrics, CI/CD automation, and Kubernetes operations aligned to real production standards.

Duration:
5 days
Rating:
4.8/5.0
Level:
Advanced
1500+ users onboarded

Who will Benefit from this Training?

  • Experienced Java Developers (Spring Boot, backend services)
  • Experienced .NET Developers (ASP.NET Core, backend APIs)
  • Backend Engineers building production microservices
  • DevOps and Platform Engineers supporting backend delivery
  • SRE engineers improving reliability, observability, and automation
  • Technical leads modernizing backend architecture and tooling

Training Objectives

  • Master Go language fundamentals with a backend engineering mindset (Java/.NET transition).
  • Build clean architecture microservices with layered design and interface-driven development.
  • Develop REST APIs with middleware, validation, and clean error handling.
  • Implement JWT authentication, RBAC patterns, and security-focused API practices.
  • Integrate PostgreSQL using repository patterns, migrations, pooling, and transactions.
  • Implement config management using 12-factor patterns and safe secrets handling.
  • Write unit tests, integration tests, and benchmarks for performance validation.
  • Implement structured logging, Prometheus metrics, and production health endpoints.
  • Containerize applications using multi-stage builds and distroless images.
  • Build GitLab CI/CD pipelines for build, test, scan, push, and deploy workflows.
  • Provision AWS infrastructure using Terraform including VPC, RDS, and EKS.
  • Deploy Go services to EKS with ingress, autoscaling, and monitoring.
  • Harden production services using graceful shutdown, rate limiting, retries, and reliability patterns.

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Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut

Key training modules

Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
  • Module 1: Go Fundamentals for Backend Engineers (Java/.NET Transition)
    1. Go language philosophy and where it fits in backend engineering
    2. Core syntax and types (structs, slices, maps, pointers)
    3. Functions, methods, interfaces, and composition
    4. Concurrency fundamentals (goroutines, channels, context basics)
    5. Hands-on: Lab: Build small CLI utilities to practice Go basics and concurrency
  • Module 2: Clean Architecture Microservices in Go
    1. Clean architecture layers (handlers, services/usecases, repositories)
    2. Interface-driven development and dependency injection patterns
    3. Project structure for maintainable microservices
    4. Error handling strategy across layers (domain vs transport)
    5. Hands-on: Lab: Scaffold a clean architecture Go microservice with proper folder structure
  • Module 3: REST API Development (Middleware + Validation + Errors)
    1. Building REST endpoints (routing, handlers, request/response patterns)
    2. Middleware design (logging, auth, request id, timing)
    3. Validation patterns (schema validation, custom validators)
    4. Consistent API error responses (status codes, error envelope)
    5. Hands-on: Lab: Build CRUD REST APIs with middleware and validation
  • Module 4: Authentication and Authorization (JWT + RBAC)
    1. JWT fundamentals (claims, signing, expiry, refresh basics)
    2. RBAC patterns (roles, permissions, scopes)
    3. Security best practices for APIs (rate limiting intro, secure headers concept)
    4. Protecting endpoints using middleware and policy checks
    5. Hands-on: Lab: Implement JWT auth + RBAC for protected REST endpoints
  • Module 5: PostgreSQL Integration (Repo Pattern + Migrations + Transactions)
    1. Repository patterns for clean separation of persistence layer
    2. DB migrations strategy (versioned schema evolution)
    3. Connection pooling and configuration tuning basics
    4. Transactions and consistency patterns (commit/rollback, isolation awareness)
    5. Hands-on: Lab: Integrate PostgreSQL with CRUD + migrations + transactional workflow
  • Module 6: Configuration Management and Secrets (12-Factor Patterns)
    1. 12-factor config principles (env-driven configuration)
    2. Config loading patterns and validation at startup
    3. Safe secrets handling (no hardcoding, secret injection concepts)
    4. Environment separation (dev/stage/prod)
    5. Hands-on: Lab: Implement config loader with env overrides and secrets-safe patterns
  • Module 7: Testing Strategy (Unit, Integration, Benchmarks)
    1. Unit testing in Go (table-driven tests, mocks, interfaces)
    2. Integration testing with database dependencies
    3. Benchmarking and performance testing fundamentals
    4. Test coverage and CI integration best practices
    5. Hands-on: Lab: Write unit + integration tests and run benchmarks for API and repository layers
  • Module 8: Production Observability (Logging, Metrics, Health Endpoints)
    1. Structured logging patterns (JSON logs, correlation ids)
    2. Prometheus metrics basics (counters, histograms, gauges)
    3. Health endpoints (liveness/readiness patterns)
    4. Operational visibility (latency, errors, traffic signals)
    5. Hands-on: Lab: Add structured logs + Prometheus metrics + health endpoints to the Go service
  • Module 9: Containerization (Multi-Stage Builds + Distroless)
    1. Multi-stage Docker builds for small secure images
    2. Distroless images concept and reduced attack surface
    3. Tagging strategies (versioning + git sha) and immutability
    4. Container runtime hardening (non-root user, minimal permissions)
    5. Hands-on: Lab: Containerize the Go service with multi-stage build + distroless runtime image
  • Module 10: GitLab CI/CD for Go Microservices (Build, Test, Scan, Push, Deploy)
    1. GitLab pipeline structure (stages, jobs, artifacts)
    2. Automating build and tests with caching
    3. Security scans in CI (dependency scan concepts, image scan intro)
    4. Build + push Docker images to registry and deploy workflow patterns
    5. Hands-on: Lab: Build GitLab CI pipeline for test → build → scan → push → deploy
  • Module 11: Provision AWS Infrastructure with Terraform (VPC, RDS, EKS)
    1. Terraform workflow (init, plan, apply, state basics)
    2. Provisioning a VPC with subnets, routing, and security rules
    3. Provisioning RDS PostgreSQL with secure networking
    4. Provisioning EKS cluster basics (node groups, IAM roles concept)
    5. Hands-on: Lab: Deploy AWS VPC + RDS + EKS using Terraform modules
  • Module 12: Deploy Go Services to EKS (Ingress, Autoscaling, Monitoring)
    1. Kubernetes manifests for Go apps (Deployment, Service, ConfigMap, Secret)
    2. Ingress setup and routing concepts
    3. Autoscaling basics (HPA and scaling triggers concept)
    4. Monitoring integration overview (Prometheus metrics scraping patterns)
    5. Hands-on: Lab: Deploy the Go service to EKS with ingress + autoscaling and validate metrics
  • Module 13: Production Hardening (Reliability and Safety Patterns)
    1. Graceful shutdown patterns using context cancellation
    2. Rate limiting and abuse prevention basics
    3. Retries and timeouts for outbound dependencies
    4. Resilience patterns for production stability
    5. Hands-on: Capstone Lab: Harden service reliability and validate behavior under failures and load

Hands-on Experience with Tools

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Training Delivery Format

Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
100% Live
on-site/online training
Hands-on
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program

1

Personalisation

Customising curriculum and projects to prepare your team for challenges within your industry

2

Implementation

Supplementing training with consulting support to ensure implementation in real projects

3

Why Advanced GoLang Bootcamp for your business?

  • High-performance services: Build fast, scalable backend systems for modern business workloads.
  • Better cloud-native development: Go is widely used for Kubernetes, tooling, and microservices ecosystems.
  • Reduced infrastructure cost: Efficient Go services consume fewer resources at scale.
  • Improved maintainability: Clean architecture patterns lead to stable, production-ready codebases.
  • Faster product delivery: Teams ship reliable APIs and services with fewer runtime surprises.

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Frequently Asked Questions

1. What are the pre-requisites for this training?
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The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
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We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
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Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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