Cloud AI Campus
Master Cloud & AI skills — learn by doing, not just watching.
Hands-on labs in your browser. Real terminals, real environments, no installs. Spin one up in five seconds.
Why Cloud AI Campus
Think beyond certifications. Build real cloud & AI engineering skills.
Go beyond standard cloud certifications — learn hands-on cloud infrastructure and AI engineering skills from people who do this for a living. Whether you are jumpstarting your career or re-skilling with modern cloud, AI, and data analytics skills, pick the most in-demand path and build the abilities your role actually needs.
Invest in yourself — explore career pathsReal terminals, in-browser
Each lesson opens a real Linux shell in your tab. No VM, no docker daemon to install — just type and run.
Scenario-based labs
Learn by doing — real scenario-based labs on Generative AI, LLMs, Kubernetes, Docker, Machine Learning, Spark and much more.
Career-path programs
Pragmatic career-path courses focused on the hands-on skills your role actually needs — AI engineer, cloud-native developer, MLOps engineer, data analytics engineer.
Real-world use cases
Learn real-world cloud & AI use cases from experienced industry professionals — skills pertaining to your role, not just certifications.
Career paths
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⚙️ Career path
AI Platform Engineer
Architect, serve, and cost-optimize enterprise AI platforms in production.
6 paths · 20 labs
Explore role -
🛡️ Career path
AI Security & Governance Engineer
Secure and govern GenAI: red-teaming, guardrails, RBAC, and PII protection.
5 paths · 19 labs
Explore role -
🔍 Career path
Agentic AI Tester & QA Engineer
Test, evaluate, and trace autonomous AI agent systems.
5 paths · 24 labs
Explore role -
📊 Career path
Data Engineer
Build data pipelines for analytics and GenAI - streaming, warehousing, and RAG ingestion.
6 paths · 27 labs
Explore role -
🚀 Career path
DevOps Engineer
Ship code reliably from commit to production.
9 paths · 36 labs
Explore role -
🔌 Career path
Gen AI Backend Engineer
Build the high-performance backend that serves LLMs: streaming, caching, async, state.
6 paths · 20 labs
Explore role -
🎨 Career path
Generative AI Engineer
Orchestrate agentic workflows, fine-tune models, and deploy secure RAG pipelines.
7 paths · 23 labs
Explore role -
⚙️ Career path
MLOps & LLMOps Engineer
Ship models and LLMs to production: registry, serving, monitoring, and safe rollouts.
7 paths · 26 labs
Explore role
Learning paths
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💸 Learning path
AI FinOps & Cost Management
Optimize token usage and infrastructure costs.
1 lab
Start path -
🚀 Learning path
AI Model Serving & Inferencing
Deploy and optimize local LLMs.
3 labs
Start path -
🧠 Learning path
Agent Engineering (LangGraph & ADK)
Build stateful, multi-agent cognitive architectures.
1 lab
Start path -
🔍 Learning path
Agentic AI Testing & Observability
Evaluate RAG outputs, trace multi-agent graph runs, and automate red teaming.
9 labs
Start path -
⚙️ Learning path
Ansible
Automate infrastructure with declarative playbooks.
7 labs
Start path -
🔁 Learning path
CI/CD Pipelines
Automate build, test, and deploy with GitHub Actions workflows.
2 labs
Start path -
🤖 Learning path
Capstone: Autonomous Support Agent
Build a multi-tool ReAct agent from scratch.
1 lab
Start path -
🏗️ Learning path
Capstone: End-to-End GenAI Platform
Assemble ingestion, registry, an eval gate, safe serving, and a PII guard into one pipeline.
1 lab
Start path -
🛤️ Learning path
Capstone: End-to-End ML Pipeline
Train, track, and deploy a machine learning model.
1 lab
Start path -
🧪 Learning path
Capstone: Evaluating an Autonomous Agent
Build a CI pipeline for an AI agent.
1 lab
Start path -
🕵️ Learning path
Capstone: Fraud Detection Pipeline
Build a real-time event streaming pipeline.
1 lab
Start path -
🏗️ Learning path
Capstone: Microservices Architecture
Deploy a highly-available application from scratch.
1 lab
Start path -
🏦 Learning path
Capstone: Red Teaming a Banking Bot
Exploit and patch an enterprise AI agent.
1 lab
Start path -
⚖️ Learning path
Capstone: Scaling Inference & FinOps
Deploy a model server and estimate its infrastructure cost.
1 lab
Start path -
🗄️ Learning path
Data Engineering
Build batch and streaming data pipelines, search, and warehousing at scale.
11 labs
Start path -
🐳 Learning path
Docker
Build, ship, and run anything in containers.
7 labs
Start path -
🔌 Learning path
Gen AI Backend Engineering
The plumbing behind GenAI apps: streaming, caching, async jobs, and state.
4 labs
Start path -
🎨 Learning path
Generative AI Engineering
Build production RAG pipelines, fine-tune models, and configure input/output guardrails.
6 labs
Start path -
🏗️ Learning path
Infrastructure as Code with Terraform
Declare, plan, and provision infrastructure with Terraform.
1 lab
Start path -
☸️ Learning path
Kubernetes
Run, scale, and update containers across a fleet.
7 labs
Start path -
🔒 Learning path
LLM Security & Guardrails
Learn to hack and defend Large Language Models.
6 labs
Start path -
🐧 Learning path
Linux Administration
From the command line and filesystem to users, processes, storage, and NFS.
4 labs
Start path -
🤖 Learning path
MLOps & AI Infrastructure
Deploy, scale, and manage LLMs and AI services in production.
6 labs
Start path -
⚙️ Learning path
Machine Learning Engineering
Deploy, optimize, and profile machine learning models in production.
4 labs
Start path -
🔭 Learning path
Observability & Logging
Centralize, structure, and query logs across your systems.
1 lab
Start path -
🐍 Learning path
Python for AI
Skip the basics - the Python paradigms data, AI, and agent engineers actually use.
3 labs
Start path -
📐 Learning path
Vector Databases & Semantic Search
Build high-dimensional vector search pipelines for RAG and AI Agents.
1 lab
Start path
Featured labs
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Hands-on lab
A/B Testing & Shadow Deployments
3 steps
Open lab -
Hands-on lab
Advanced Kafka Clustering
3 steps
Open lab -
Hands-on lab
Advanced RAG Architectures
2 steps
Open lab -
Hands-on lab
Agent Loop Detection & Chaos Testing
3 steps
Open lab -
Hands-on lab
Architecture & Inventories
5 steps
Open lab -
Hands-on lab
Async Orchestration & Task Queues
3 steps
Open lab
Trusted by learners worldwide
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“Upon finishing, you can directly work in a production environment — that is a confidence I got. I am pretty sure everyone would too after the training. Thanks, Cloud AI Campus!”
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“I was looking for a place to sharpen my hands-on Kubernetes & GKE skills. Cloud AI Campus gave me the right level of hands-on exposure, and I am confident to leverage it in my current role.”
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“Market leaders in teaching the latest technologies. They craft the course content around real market needs and our interests — one of the best in the industry.”
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“One of the best places to learn new technologies. Trending skills are taught with real-time scenarios, and the instructors have deep, current subject knowledge.”
Stop reading. Start typing.
Every lab is free to try. No card, no account walls between you and a working terminal.
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