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☁ Intensive bootcamp · 14 weeks

Cloud & DevOps Bootcamp

From Linux to production deployments in the cloud

Learn to build, automate, secure and monitor modern cloud infrastructure. Heavy on practice, light on theory: every module ends with a hands-on lab, in environments that mirror real-world working conditions.

15
Modules
14
Weeks
12
Portfolio projects
1
Cloud infrastructure
Who is it for?

For people who want to ship

No prior cloud expertise is required. Some programming, Linux or networking experience is a plus, but the bootcamp covers the fundamentals step by step.

🌱
Motivated beginners
💻
Developers
📊
Data Engineers & Data Scientists
🖥
System administrators
🔄
Career changers
🎓
Students
Program

15 modules, 15 hands-on labs

Every module ends with a lab. You learn by building, not by listening.

1
Foundations
01

Cloud & DevOps fundamentals

Cloud computing, IaaS, PaaS and SaaS, public, private and hybrid cloud, AWS, Azure and Google Cloud, regions and availability zones, high availability, scalability, DevOps culture and an introduction to DevSecOps.

Lab: Design the cloud architecture of a web application

02

Linux for Cloud & DevOps

Linux architecture, terminal and shell, files, users, groups and permissions, processes, services and systemctl, packages, environment variables, logs, Bash, SSH and cron.

Lab: Configure and administer a Linux server

03

Networking for the Cloud

OSI model, TCP/IP, public and private IP addressing, subnets, ports, DNS, HTTP and HTTPS, routing, NAT, firewalls, load balancers, reverse proxies, VPN, SSH and VPC/VNet concepts.

Lab: Design the network of a cloud infrastructure

2
Code & containers
04

Git & GitHub

Repository, clone, add, commit, push and pull, branches, merge, conflict resolution, .gitignore, GitHub, pull requests, code review, tags and releases, branching strategies and teamwork.

Lab: Manage an application's development with Git and GitHub

05

Docker & containerization

Virtualization and containerization, Docker architecture, images, containers, Docker Hub, Dockerfile, build, ports, volumes, networks, Docker Compose, multi-stage builds, optimization and security.

Lab: Containerize a complete application

3
Automation & Cloud
06

CI/CD & automation

Continuous integration, delivery and deployment, CI/CD pipelines, automated tests, build, versioning, artifacts, dev, test, staging and production environments, GitHub Actions, secrets and rollback.

Project: Build a complete CI/CD pipeline

07

AWS, Azure & GCP fundamentals

The three clouds compared: compute, storage, databases, networking, IAM, serverless, containers, monitoring, cost control and the shared responsibility model. EC2, S3, Lambda, Blob Storage, Entra ID, Cloud Run, BigQuery and the rest.

Lab: Deploy an application to the cloud

4
Infrastructure as Code & orchestration
08

Infrastructure as Code with Terraform

Why infrastructure as code, providers, resources, variables, outputs, state and remote state, modules, environments, secret handling and best practices, on AWS, Azure or GCP.

Project: Build a complete cloud infrastructure with Terraform

09

Kubernetes

Cluster architecture, control plane and nodes, pods, deployments, ReplicaSets, services, ConfigMaps, secrets, namespaces, persistent volumes, ingress, scaling, rolling updates, rollbacks, health checks and Helm.

Project: Deploy a containerized application on Kubernetes

5
Architecture & observability
10

Cloud Native & microservices

Monolith and microservices, APIs, containers, service discovery, API gateway, load balancing, horizontal scalability, stateless and stateful, high availability, resilience, event-driven and serverless.

Lab: Design a scalable cloud-native architecture

11

Monitoring, logging & observability

Logs, metrics and traces, observability, alerting, dashboards, Prometheus and Grafana, application logs, Kubernetes and cloud monitoring, incident analysis, SLAs, SLOs and SLIs.

Lab: Build a monitoring dashboard for an application

6
Security, resilience & cost
12

DevSecOps & cloud security

DevSecOps principles, IAM and least privilege, secret management, network, container and Kubernetes security, dependency analysis, vulnerability scanning, pipeline security, encryption, backups and audit.

Lab: Secure a CI/CD pipeline and a cloud infrastructure

13

High availability, scalability & resilience

Horizontal and vertical scaling, auto scaling, load balancing, multi-zone, replication, backup, disaster recovery, RTO and RPO, health checks, fault tolerance and failure handling.

Lab: Design an architecture that survives an outage

14

FinOps & cloud cost optimization

Understanding compute, storage, network and database billing, idle resources, right-sizing, auto scaling, budgets, cost alerts, tags and an introduction to FinOps.

Lab: Analyze and optimize the cost of a cloud infrastructure

15

DevOps for Data & AI

DevOps and MLOps, infrastructure for AI applications, deploying a Python/FastAPI API, containerizing a model, CI/CD for AI, model storage, secrets, GPUs, scaling, monitoring and MLflow.

Lab: Deploy a containerized AI API to the cloud

🔒

Rest of the program locked

Full details of the remaining modules, including the tools and the lab for each step, are available once you enroll.

Final project

From GitHub to production

Twelve steps to build and deploy a complete cloud infrastructure, combining the technologies covered during the bootcamp.

✓ 1. Application: a real web application or API
✓ 2. Git: version the project with a professional workflow
✓ 3. Docker: build the images the application needs
✓ 4. Infrastructure: provisioned automatically with Terraform
✓ 5. Cloud: deploy to AWS, Azure or Google Cloud
✓ 6. Kubernetes: deploy and orchestrate the containers
✓ 7. CI/CD: commit, test, build, containerize, then deploy
✓ 8. Security: access, secrets, permissions and network rules
✓ 9. Monitoring: metrics, logs, dashboards and alerts
✓ 10. Scalability: configure the application to scale
✓ 11. Resilience: backup, recovery and incident handling
✓ 12. Documentation: architecture and deployment procedures
🔒

The twelve steps of the final project

Enrolled participants get the full walkthrough, practice cloud environments and a review of their work.

Portfolio

Twelve projects to show

By the end, every participant leaves with concrete work to show.

Linux server administration
Cloud network architecture
Containerized application
CI/CD pipeline
Terraform infrastructure
Cloud deployment
Kubernetes cluster
Cloud-native architecture
Monitoring dashboard
DevSecOps-hardened infrastructure
AI API deployment
A complete Cloud & DevOps project
Technologies

The tools of the trade

The technologies companies actually use, not classroom toys.

Systems

Linux · Bash · SSH

Versioning

Git · GitHub

Containers

Docker · Docker Compose

Orchestration

Kubernetes · Helm

CI/CD

GitHub Actions

Infrastructure as Code

Terraform

Cloud

AWS · Microsoft Azure · Google Cloud

Monitoring

Prometheus · Grafana · Cloud Monitoring

Development

Python · APIs · FastAPI

Concepts

DevOps · DevSecOps · Cloud Native · Microservices · FinOps · MLOps

Outcome

What you will be able to do

Administer a Linux environment
Understand network and cloud architectures
Work professionally with Git
Containerize applications with Docker
Build CI/CD pipelines
Create infrastructure with Terraform
Deploy applications to the cloud
Orchestrate containers with Kubernetes
Set up monitoring, logs and alerts
Apply the core principles of DevSecOps
Design scalable and resilient infrastructure
Track and optimize cloud costs
Deploy data and AI applications to production
Format

Your typical week

15 modules over 14 weeks. Around 14 to 18 hours a week, two-thirds of it hands-on.

📚
Class & demos
2h · Live
🛠
Hands-on lab
3.5h · Live
❓
Infrastructure review & Q&A
1h · Live · optional
💼
Project & practice
8 to 12h · Self-directed
Plans

Choose your plan

Four levels of support to match your pace and your goals.

Based in West or Central Africa?
Essential

Full access

€1,990 €990
One-time payment · Lifetime access
  • ✓ All 15 modules, delivered live
  • ✓ Real lab environments
  • ✓ Exercises & labs
  • ✓ Final project review
  • ✓ DataSAI Cloud & DevOps certification
  • - Exercise and lab reviews
  • - Review of your infrastructure
  • - Cloud environment provided
  • - Discord community
Professional

Guided

€3,990 €1,990
One-time payment · Lifetime access
  • ✓ Everything in Essential
  • ✓ Exercise and lab reviews
  • ✓ Review of your infrastructure
  • ✓ Cloud environment provided
  • ✓ Discord community
  • - Group mentoring
  • - Infrastructure portfolio
  • - End-to-end cloud infrastructure
  • - Cloud & DevOps interview preparation
Executive

Premium

€7,990 €4,990
One-time payment · Lifetime access
  • ✓ Everything in Career
  • ✓ One-on-one mentoring
  • ✓ Personalized architecture review
  • ✓ Audit of your cloud infrastructure
  • ✓ Three months of career support
  • ✓ Partner company network
  • ✓ Priority access to future courses
For companies

Training a team?

Enroll several employees, or book a private session for your company built around examples from your industry.

  • Invoice in your company's name
  • Pricing based on the number of participants
  • Private sessions in English or French
  • A single point of contact
or book a call
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Launch prices are reserved for the waiting list. They will be guaranteed for everyone on the list when the cohort opens, with no upfront payment.

💬
Is the price a barrier? Message us on WhatsApp at +1 (904) 243-7876. Installments, country-based pricing or a scholarship: we will look at your situation and find a solution. No motivated learner is turned away over money.

Ready to ship to production?

Join the next cohort and build a complete cloud infrastructure, from GitHub to production.

Questions about the program? Book a free discovery call →

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