← Back to Bootcamps
Next cohort coming. Enrolment is not open yet: join the waiting list, you will hear first and the launch price will be held for you. No payment now.
☁ Intensive bootcamp - 14 weeks

Cloud & DevOps Bootcamp

From Linux to cloud deployment in production

Learn to build, automate, secure and monitor modern cloud infrastructure. Heavy on practice, light on theory: every module ends with a hands-on lab, on environments close to real professional situations.

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 is an advantage, but the fundamentals are covered step by step during the bootcamp.

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

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: Run an application's development with Git and GitHub

05

Docker & containerisation

Virtualisation and containerisation, Docker architecture, images, containers, Docker Hub, Dockerfile, build, ports, volumes, networks, Docker Compose, multi-stage builds, optimisation and security.

Lab: Containerise 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 good practice, 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 containerised 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 chain 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 optimisation

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

Lab: Analyse and optimise the cost of a cloud infrastructure

15

DevOps for Data & AI

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

Lab: Deploy a containerised AI API to the cloud

🔒

Rest of the programme locked

The detail of the remaining modules, the tools taught and each step's lab are available after enrolment.

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 — created automatically with Terraform
✓ 5. Cloud — deployment on AWS, Azure or Google Cloud
✓ 6. Kubernetes — deploy and orchestrate the containers
✓ 7. CI/CD — commit, tests, build, Docker, then deployment
✓ 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

The full walkthrough, the practice cloud environments and the review are provided to enrolled participants.

Portfolio

Twelve projects to show

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

Linux server administration
Cloud network architecture
Containerised 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 actually used in companies, not teaching 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
Containerise 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 optimise cloud costs
Deploy data and AI applications to production
Format

Your typical week

14 weeks, one module a week. Around 14 to 18 hours weekly, two thirds of it hands-on.

📚
Class & demos
2h · Live
🛠
Hands-on lab
3h30 · 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

One-off payment · Lifetime access
  • ✓ All 15 modules, delivered live
  • ✓ Real lab environments
  • ✓ Exercises & labs
  • ✓ Final project reviewed
  • ✓ DataSAI Cloud & DevOps certification
  • - Exercises and labs reviewed
  • - Your infrastructure reviewed
  • - Cloud environment provided
  • - Discord community
Professional

Guided

One-off payment · Lifetime access
  • ✓ Everything in Essential
  • ✓ Exercises and labs reviewed
  • ✓ Your infrastructure reviewed
  • ✓ Cloud environment provided
  • ✓ Discord community
  • - Group mentoring
  • - Infrastructure portfolio
  • - End-to-end cloud infrastructure
  • - Cloud & DevOps interview preparation
Most popular plan
Career

Towards employment

One-off payment · Lifetime access
  • ✓ Everything in Professional
  • ✓ Group mentoring
  • ✓ Infrastructure portfolio
  • ✓ End-to-end cloud infrastructure
  • ✓ Cloud & DevOps interview preparation
  • - One-on-one mentoring
  • - Personalised architecture review
  • - Audit of your cloud infrastructure
  • - Three months of career support
Executive

Premium

One-off payment · Lifetime access
  • ✓ Everything in Career
  • ✓ One-on-one mentoring
  • ✓ Personalised architecture review
  • ✓ Audit of your cloud infrastructure
  • ✓ Three months of career support
  • ✓ Partner company network
  • ✓ Priority access to future courses

Launch prices reserved for the waiting list. They will be guaranteed to pre-registered members when the cohort opens, with no payment before.

💬
Is the price a barrier? Message us on WhatsApp at +1 (904) 243-7876. Instalments, pricing adapted to your country, or a scholarship: we look at your situation and find a way. 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.

contact@datasai.fr · Legal notice · Privacy · Terms of use