"Democratizing enterprise-grade cloud and AI knowledge for the next generation of technology leaders"
Empowerin developers worldwide to master cloud computing and AI technologies through hands-on, production-ready learning experiences. We believe that cutting-edge technical skills should be accessible to everyone—from complete beginners taking their first steps into the cloud, to seasoned professionals architecting the future of enterprise AI.
Meet Raphaël MANSUY—your guide on this journey. With hands-on experience leading cloud and AI projects at startups and global enterprises, Raphaël is passionate about making advanced technology accessible to all developers. As CTO of Elitizon and founder of QuantaLogic, he brings practical insights and a collaborative approach to help you master real-world cloud and AI skills.
Welcome to your comprehensive enterprise training ecosystem for modern cloud computing, DevOps, and AI development! This repository delivers hands-on, production-ready tutorials that transform developers into cloud architects and AI engineers—spanning from fundamental containerization to cutting-edge multi-agent AI systems and enterprise-scale cloud architecture.
- 🎯 Accelerated Learning Paths: 24-hour challenges for rapid, hands-on skill mastery
- 💼 Business Impact Focus: Measurable ROI analysis and competitive market insights
- 🔧 Multi-Framework Support: Flexible implementation options for maximum adoption
Ready to transform your career? Whether you're taking your first steps into cloud computing or architecting enterprise-grade AI solutions for Fortune 500 companies—this hub provides your complete learning pathway to success.
This project provides a complete learning pathway with production-ready training materials designed to accelerate your journey from cloud beginner to enterprise architect and AI specialist. Our comprehensive curriculum covers the entire modern technology stack:
- Google Cloud Platform (GCP): Enterprise services, advanced configurations, and production deployments
- Amazon Web Services (AWS): Migration strategies, managed services, and infrastructure as code
- Kubernetes & Containerization: Advanced orchestration, scaling, and production management
- Machine Learning & AI Agents: End-to-end ML pipelines, Vertex AI, and intelligent multi-agent systems
- Cloud Storage & Data Management: Enterprise-grade storage solutions, database optimization, and data engineering
- DevOps & CI/CD: Advanced automation, GitLab pipelines, AWS ECR, and deployment strategies
- AI-Powered Development: Revolutionary development acceleration with Amazon Q and VS Code Copilot Agent
- Enterprise Authentication & Security: OAuth2, OpenID Connect, API management, and enterprise identity
- Cloud Migration & Infrastructure: Strategic HAProxy-to-AWS migrations and infrastructure transformation
- 🏗️ Infrastructure as Code: Advanced Terraform, AWS CDK TypeScript, and scalable architecture patterns
%%{init: {'mindmap': {'themeVariables': {'primaryColor': '#6b7280', 'primaryTextColor': '#22223b', 'primaryBorderColor': '#6b7280', 'lineColor': '#6b7280'}}}}%%
mindmap
root((Enterprise Cloud & AI Hub))
Cloud Platforms
GCP Enterprise
AWS Solutions
Multi-Cloud Architecture
AI & Machine Learning
Vertex AI Production
Multi-Agent Systems
AI-Powered Development
DevOps & Automation
Advanced CI/CD
Container Orchestration
Infrastructure as Code
Enterprise Solutions
Authentication & Security
Cloud Migration
SaaS Development
Each tutorial is enterprise-grade and features:
- Step-by-step, production-ready instructions with enterprise best practices
- Real-world examples and business use cases with measurable ROI analysis
- Clear prerequisites and detailed cost estimates for budget planning
- Comprehensive troubleshooting guides and professional debugging techniques
- 24-hour challenges for accelerated, hands-on mastery
- Business impact analysis with competitive market insights
- Multi-framework support for maximum adoption flexibility
Start your journey with confidence—whether you're new to the cloud or architecting enterprise-grade solutions for Fortune 500 companies.
Start your journey with confidence—whether you’re new to the cloud or aiming for advanced, production-ready skills.
🔰 Complete Beginner - New to cloud computing
What you'll achieve: Deploy your first application to the cloud in under 4 hours
Recommended Path:
- Install Google Cloud CLI (30-45 min)
- Create Your First GCP Storage (1-2 hours)
- Kubernetes Basics (2-3 hours)
Time Investment: 2-4 hours/week for 2-3 weeks Cost: $0-5 USD (mostly free tier)
🚀 Intermediate - Have some cloud experience
What you'll achieve: Build production-ready applications with CI/CD automation
Recommended Path:
- GCP Crash Course for AWS Users (4-6 hours)
- AI-Powered Development with Amazon Q (4-6 hours)
- Deploy Applications to Cloud Platforms (3-4 hours)
- CI/CD Automation with GitLab and AWS (6-8 hours)
Time Investment: 5-10 hours/week for 3-4 weeks Cost: $5-25 USD
🎓 Advanced - Experienced professionals seeking enterprise-grade solutions
What you'll achieve: Master AI agent development and enterprise architecture
Recommended Path:
- Complete ML Production Pipeline (6-8 hours)
- Enterprise AI Agent Development (40-60 hours)
- Multi-Agent System Orchestration (12-24 hours)
- Business Impact & ROI Analysis
Time Investment: 10-20 hours/week for 6-8 weeks Cost: $20-80 USD
| I Want To... | Recommended Path | Time | Level |
|---|---|---|---|
| 🚀 Deploy my first app | Quick Deployment Track | 4-6 hours | Beginner |
| 🤖 Build AI applications | AI Developer Track | 20-40 hours | Intermediate-Advanced |
| 🔄 Automate my workflow | DevOps Automation Track | 15-25 hours | Intermediate |
| 🏢 Lead enterprise migration | Enterprise Architecture Track | 40-80 hours | Advanced |
| 👨💻 Accelerate development | AI-Powered Developer Track | 12-20 hours | Intermediate |
| 🏗️ Build production SaaS | SaaS Architecture Track | 30-50 hours | Advanced |
⚡ Quick Wins (30 min - 2 hours) - Perfect for evenings
- Install Google Cloud CLI (30-45 min)
- Create GCP Storage Bucket (1-2 hours)
- Prompts for Diagram Generation (1-2 hours)
- Modern Python Development Toolkit (2-4 hours)
Perfect for: Busy professionals, quick skill building
🛠️ Weekend Projects (2-8 hours) - Comprehensive learning
- Kubernetes for Absolute Beginners (2-3 hours)
- Deploy Next.js to GCP (3-4 hours)
- Transcribing Audio/Video with Gemini 2.5 (3-5 hours)
- Amazon Q Developer (4-6 hours)
- GCP Crash Course (4-6 hours)
- GitLab CI/CD with AWS ECR (6-8 hours)
- Intent-Based Development (6-8 hours)
Perfect for: Hands-on learners, weekend warriors
🏗️ Deep Dives (8+ hours) - Mastery-focused
- MCP 2025-06-18 Documentation (8-12 hours)
- A2A Protocol Mastery (8-12 hours)
- Vertex AI Agent Engine (12-24 hours)
- AWS ECS Fargate SaaS Development (24 hours)
- Google Agent Development Kit (ADK) (40-60 hours)
Perfect for: Career transitions, skill specialization
🎯 Learning Sprints (Week-long commitments) - Intensive growth
Week 1: Cloud Foundations
- Days 1-2: CLI Setup + Storage
- Days 3-4: GCP Crash Course
- Days 5-7: First Deployment + Practice
Week 2: AI-Powered Development
- Days 1-2: Amazon Q Developer
- Days 3-5: Intent-Based Development
- Days 6-7: Real project implementation
Week 3: Enterprise AI
- Days 1-3: Vertex AI Complete
- Days 4-5: AI Agent Development
- Days 6-7: Production deployment
Perfect for: Bootcamp-style learning, career pivots
Based on your selections above, here are your personalized recommendations:
🔰 New to Cloud? → Start with Install Google Cloud CLI 🚀 Have Experience? → Jump to GCP Crash Course 🤖 Want AI Focus? → Begin with Amazon Q Developer ⚡ Need Quick Win? → Try Modern Python Toolkit
Current Skill Level: Select Your Level Above Active Track: Choose Your Track Progress: ░░░░░░░░░░ 0% Complete
🔰 Foundation Achievements (Beginner Level)
- 🔧 Cloud Tools Master - Completed CLI installation and setup
- 💾 Storage Architect - Set up and managed cloud storage solutions
- 📦 Container Orchestrator - Deployed first Kubernetes application
- 🚀 First Deployment - Successfully deployed application to cloud
Unlock Requirement: Complete any 3 foundation tutorials Next Level: Intermediate Achievements unlocked!
🚀 Intermediate Achievements (Developing Expertise)
- ☁️ Cloud Professional - Completed GCP crash course
- 🔄 CI/CD Automation Master - Built automated Docker pipelines
- 🤖 AI-Powered Developer - Mastered Amazon Q and VS Code Copilot
- 📱 Full-Stack Deployer - Deployed complex applications to production
Unlock Requirement: Complete Foundation level + 2 intermediate tutorials Next Level: Advanced Achievements unlocked!
🎓 Advanced Achievements (Expert Level)
- 🏢 SaaS Architect - Built complete production-ready SaaS platform
- 🧠 AI Agent Developer - Created intelligent AI agents
- 🌐 API Management Expert - Implemented enterprise API solutions
- 🔐 Security Specialist - Mastered OAuth2 and OpenID Connect
- 🚀 Cloud Migration Expert - Led infrastructure transformation
Unlock Requirement: Complete Intermediate level + 2 advanced tutorials Next Level: Enterprise Master unlocked!
🏆 Enterprise Master (Industry Leadership)
- 🎯 Enterprise AI Specialist - Mastered multi-agent systems deployment
- 🏗️ Data Platform Engineer - Built production data engineering solutions
- 🌟 Cloud Transformation Leader - Led complete enterprise cloud adoption
- 💼 Solution Architect - Designed enterprise-grade cloud architectures
Unlock Requirement: Complete Advanced level + 3 enterprise tutorials Reward: Industry recognition & career advancement opportunities!
Based on your progress, here are your next suggested tutorials:
🎯 Immediate Next Steps:
- Complete your current tutorial
- Review and practice concepts
- Plan your next learning milestone
🚀 Suggested Progression:
- [Your recommendations will appear here based on completed tutorials]
💡 Pro Tips:
- Set aside dedicated learning time each week
- Practice with real projects between tutorials
- Join the community discussions for support
Perfect for newcomers who want to see immediate results
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Install Google Cloud CLI | 30-45 min | Beginner | Development environment setup |
| 📖 Create GCP Storage Bucket | 1-2 hours | Beginner | Cloud storage for your apps |
| 📖 Deploy Next.js to GCP | 3-4 hours | Beginner-Advanced | Live web application |
🎉 End Result: A production-ready web application running on Google Cloud 💰 Cost: $0-5 USD | ⏱️ Total Time: 4-6 hours
Perfect for developers who want to work smarter, not harder
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Amazon Q for the Impatient | 4-6 hours | Beginner-Advanced | AI-powered code generation |
| 📖 Intent-Based Development with VS Code Copilot | 6-8 hours | Beginner-Advanced | Natural language programming |
| 📖 GitLab CI/CD with AWS ECR | 6-8 hours | Beginner-Advanced | Automated deployment pipeline |
| 📖 Modern Python Development Toolkit | 2-4 hours | Intermediate-Advanced | Optimized Python workflow |
🎉 End Result: AI-accelerated development with fully automated deployments 💰 Cost: $10-30 USD | ⏱️ Total Time: 18-26 hours
Perfect for developers ready to integrate AI into their applications
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Vertex AI Crash Course | 6-8 hours | Advanced | Complete ML pipeline |
| 📖 Google Agent Development Kit (ADK) | 40-60 hours | Advanced | Intelligent AI agents |
| 📖 Vertex AI Agent Engine | 12-24 hours | Advanced | Enterprise AI agent platform |
| 📖 Transcribing Audio/Video with Gemini 2.5 | 3-5 hours | Beginner-Advanced | AI transcription service |
| 📖 A2A Protocol | 8-12 hours | Beginner-Advanced | Agent-to-agent communication |
| 📖 MCP 2025-06-18 Documentation | 8-12 hours | Beginner-Advanced | AI integration protocols |
| 📖 LLM Documentation Mastery | 4-8 hours | Intermediate-Advanced | AI-optimized knowledge systems |
| 📖 Documentation for GenAI | 2-4 hours | Intermediate | LLM-friendly content strategy |
🎉 End Result: Production-ready AI applications with intelligent agents 💰 Cost: $30-80 USD | ⏱️ Total Time: 77-111 hours
Perfect for teams and organizations ready for enterprise-grade solutions
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 GCP Crash Course for AWS Professionals | 4-6 hours | Intermediate | Multi-cloud expertise |
| 📖 AWS ECS Fargate SaaS Development | 24 hours | Intermediate-Advanced | Complete SaaS platform |
| 📖 OAuth2 Authentication | 2-3 hours | Intermediate | Enterprise authentication |
| 📖 OpenID Connect (OIDC) | 2-3 hours | Intermediate | Identity management |
| 📖 Apigee API Management | 3-4 hours | Intermediate | Enterprise API platform |
| 📖 HAProxy to AWS Migration | 8-12 hours | Advanced | Infrastructure transformation |
🎉 End Result: Enterprise-grade cloud architecture with security and scalability 💰 Cost: $25-75 USD | ⏱️ Total Time: 43-52 hours
Perfect for building solid cloud computing fundamentals
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Kubernetes for Absolute Beginners | 2-3 hours | Beginner | Container orchestration |
| 📖 Google Cloud SQL for Postgres | 3-5 hours | Beginner-Intermediate | Cloud database |
| 📖 Google Cloud IAM | 2-3 hours | Intermediate | Identity and access management |
| 📖 Google Cloud Run | 2-3 hours | Intermediate | Serverless containers |
| 📖 Terraform Foundations | 4-6 hours | Intermediate | Infrastructure as Code |
🎉 End Result: Solid foundation in cloud computing essentials 💰 Cost: $5-20 USD | ⏱️ Total Time: 13-20 hours
Perfect for deep diving into specific technologies and methodologies
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Bruno for API Testing | 2-4 hours | Beginner-Advanced | API testing automation |
| 📖 AG-UI Protocol | 6-10 hours | Beginner-Advanced | Interactive AI interfaces |
| 📖 Vertex AI Observability | 2-4 hours | Intermediate-Advanced | Production monitoring |
| 📖 Mastering Embedding Types | 8-12 hours | Intermediate-Advanced | Semantic search systems |
| 📖 Context Engineering | 4-6 hours | Intermediate-Advanced | AI context optimization |
| 📖 Prompt Engineering for Diagrams | 1-2 hours | Beginner-Advanced | AI diagram generation |
| 📖 Agentic AI Design Patterns | 8-12 hours | Advanced | Agentic system architecture → Unlock AI Agent Collaboration: Convert ADK Agents for A2A (Google Cloud Blog) |
| 📖 Data Context Modeling: Context Engineering | 4-6 hours | Intermediate-Advanced | AI context optimization |
| 📖 Context Engineering for Sales Agents | 8-12 hours | Advanced-Executive | Enterprise-grade AI sales agent context, frameworks, and production code |
🎉 End Result: Specialized expertise in cutting-edge technologies 💰 Cost: $10-40 USD | ⏱️ Total Time: 23-38 hours
Essential for organizations and professionals seeking to manage, govern, and deploy AI responsibly
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 AI Risk Management: Best Practices & Implementation | 8-12 hours | Intermediate-Advanced | Comprehensive AI risk framework, compliance mapping, and implementation strategies |
🎉 End Result: Responsible, compliant, and trustworthy AI systems 💰 Cost: $10-30 USD | ⏱️ Total Time: 8-12 hours
A complete, step-by-step framework to transform your documentation for AI and LLM systems. Includes templates, architecture, business impact analysis, and a comprehensive metadata schema for agentic AI navigation.
- Guide: Complete Guide to Creating LLM-Optimized Documentation
- What you'll learn:
- How to architect AI-discoverable documentation
- Metadata and knowledge graph best practices
- Automation, QA, and ROI analysis for documentation
- Real-world business impact and case studies
Recommended for teams and individuals seeking to make their documentation AI-ready and dramatically improve developer experience.
"Democratizing enterprise-grade cloud and AI knowledge for the next generation of technology leaders"
Empowerin developers worldwide to master cloud computing and AI technologies through hands-on, production-ready learning experiences. We believe that cutting-edge technical skills should be accessible to everyone—from complete beginners taking their first steps into the cloud, to seasoned professionals architecting the future of enterprise AI.
Meet Raphaël MANSUY—your guide on this journey. With hands-on experience leading cloud and AI projects at startups and global enterprises, Raphaël is passionate about making advanced technology accessible to all developers. As CTO of Elitizon and founder of QuantaLogic, he brings practical insights and a collaborative approach to help you master real-world cloud and AI skills.
Welcome to your comprehensive enterprise training ecosystem for modern cloud computing, DevOps, and AI development! This repository delivers hands-on, production-ready tutorials that transform developers into cloud architects and AI engineers—spanning from fundamental containerization to cutting-edge multi-agent AI systems and enterprise-scale cloud architecture.
- 🎯 Accelerated Learning Paths: 24-hour challenges for rapid, hands-on skill mastery
- 💼 Business Impact Focus: Measurable ROI analysis and competitive market insights
- 🔧 Multi-Framework Support: Flexible implementation options for maximum adoption
Ready to transform your career? Whether you're taking your first steps into cloud computing or architecting enterprise-grade AI solutions for Fortune 500 companies—this hub provides your complete learning pathway to success.
This project provides a complete learning pathway with production-ready training materials designed to accelerate your journey from cloud beginner to enterprise architect and AI specialist. Our comprehensive curriculum covers the entire modern technology stack:
- Google Cloud Platform (GCP): Enterprise services, advanced configurations, and production deployments
- Amazon Web Services (AWS): Migration strategies, managed services, and infrastructure as code
- Kubernetes & Containerization: Advanced orchestration, scaling, and production management
- Machine Learning & AI Agents: End-to-end ML pipelines, Vertex AI, and intelligent multi-agent systems
- Cloud Storage & Data Management: Enterprise-grade storage solutions, database optimization, and data engineering
- DevOps & CI/CD: Advanced automation, GitLab pipelines, AWS ECR, and deployment strategies
- AI-Powered Development: Revolutionary development acceleration with Amazon Q and VS Code Copilot Agent
- Enterprise Authentication & Security: OAuth2, OpenID Connect, API management, and enterprise identity
- Cloud Migration & Infrastructure: Strategic HAProxy-to-AWS migrations and infrastructure transformation
- 🏗️ Infrastructure as Code: Advanced Terraform, AWS CDK TypeScript, and scalable architecture patterns
%%{init: {'mindmap': {'themeVariables': {'primaryColor': '#6b7280', 'primaryTextColor': '#22223b', 'primaryBorderColor': '#6b7280', 'lineColor': '#6b7280'}}}}%%
mindmap
root((Enterprise Cloud & AI Hub))
Cloud Platforms
GCP Enterprise
AWS Solutions
Multi-Cloud Architecture
AI & Machine Learning
Vertex AI Production
Multi-Agent Systems
AI-Powered Development
DevOps & Automation
Advanced CI/CD
Container Orchestration
Infrastructure as Code
Enterprise Solutions
Authentication & Security
Cloud Migration
SaaS Development
Each tutorial is enterprise-grade and features:
- Step-by-step, production-ready instructions with enterprise best practices
- Real-world examples and business use cases with measurable ROI analysis
- Clear prerequisites and detailed cost estimates for budget planning
- Comprehensive troubleshooting guides and professional debugging techniques
- 24-hour challenges for accelerated, hands-on mastery
- Business impact analysis with competitive market insights
- Multi-framework support for maximum adoption flexibility
Start your journey with confidence—whether you're new to the cloud or architecting enterprise-grade solutions for Fortune 500 companies.
Start your journey with confidence—whether you’re new to the cloud or aiming for advanced, production-ready skills.
🔰 Complete Beginner - New to cloud computing
What you'll achieve: Deploy your first application to the cloud in under 4 hours
Recommended Path:
- Install Google Cloud CLI (30-45 min)
- Create Your First GCP Storage (1-2 hours)
- Kubernetes Basics (2-3 hours)
Time Investment: 2-4 hours/week for 2-3 weeks Cost: $0-5 USD (mostly free tier)
🚀 Intermediate - Have some cloud experience
What you'll achieve: Build production-ready applications with CI/CD automation
Recommended Path:
- GCP Crash Course for AWS Users (4-6 hours)
- AI-Powered Development with Amazon Q (4-6 hours)
- Deploy Applications to Cloud Platforms (3-4 hours)
- CI/CD Automation with GitLab and AWS (6-8 hours)
Time Investment: 5-10 hours/week for 3-4 weeks Cost: $5-25 USD
🎓 Advanced - Experienced professionals seeking enterprise-grade solutions
What you'll achieve: Master AI agent development and enterprise architecture
Recommended Path:
- Complete ML Production Pipeline (6-8 hours)
- Enterprise AI Agent Development (40-60 hours)
- Multi-Agent System Orchestration (12-24 hours)
- Business Impact & ROI Analysis
Time Investment: 10-20 hours/week for 6-8 weeks Cost: $20-80 USD
| I Want To... | Recommended Path | Time | Level |
|---|---|---|---|
| 🚀 Deploy my first app | Quick Deployment Track | 4-6 hours | Beginner |
| 🤖 Build AI applications | AI Developer Track | 20-40 hours | Intermediate-Advanced |
| 🔄 Automate my workflow | DevOps Automation Track | 15-25 hours | Intermediate |
| 🏢 Lead enterprise migration | Enterprise Architecture Track | 40-80 hours | Advanced |
| 👨💻 Accelerate development | AI-Powered Developer Track | 12-20 hours | Intermediate |
| 🏗️ Build production SaaS | SaaS Architecture Track | 30-50 hours | Advanced |
⚡ Quick Wins (30 min - 2 hours) - Perfect for evenings
- Install Google Cloud CLI (30-45 min)
- Create GCP Storage Bucket (1-2 hours)
- Prompts for Diagram Generation (1-2 hours)
- Modern Python Development Toolkit (2-4 hours)
Perfect for: Busy professionals, quick skill building
🛠️ Weekend Projects (2-8 hours) - Comprehensive learning
- Kubernetes for Absolute Beginners (2-3 hours)
- Deploy Next.js to GCP (3-4 hours)
- Transcribing Audio/Video with Gemini 2.5 (3-5 hours)
- Amazon Q Developer (4-6 hours)
- GCP Crash Course (4-6 hours)
- GitLab CI/CD with AWS ECR (6-8 hours)
- Intent-Based Development (6-8 hours)
Perfect for: Hands-on learners, weekend warriors
🏗️ Deep Dives (8+ hours) - Mastery-focused
- MCP 2025-06-18 Documentation (8-12 hours)
- A2A Protocol Mastery (8-12 hours)
- Vertex AI Agent Engine (12-24 hours)
- AWS ECS Fargate SaaS Development (24 hours)
- Google Agent Development Kit (ADK) (40-60 hours)
Perfect for: Career transitions, skill specialization
🎯 Learning Sprints (Week-long commitments) - Intensive growth
Week 1: Cloud Foundations
- Days 1-2: CLI Setup + Storage
- Days 3-4: GCP Crash Course
- Days 5-7: First Deployment + Practice
Week 2: AI-Powered Development
- Days 1-2: Amazon Q Developer
- Days 3-5: Intent-Based Development
- Days 6-7: Real project implementation
Week 3: Enterprise AI
- Days 1-3: Vertex AI Complete
- Days 4-5: AI Agent Development
- Days 6-7: Production deployment
Perfect for: Bootcamp-style learning, career pivots
Based on your selections above, here are your personalized recommendations:
🔰 New to Cloud? → Start with Install Google Cloud CLI 🚀 Have Experience? → Jump to GCP Crash Course 🤖 Want AI Focus? → Begin with Amazon Q Developer ⚡ Need Quick Win? → Try Modern Python Toolkit
Current Skill Level: Select Your Level Above Active Track: Choose Your Track Progress: ░░░░░░░░░░ 0% Complete
🔰 Foundation Achievements (Beginner Level)
- 🔧 Cloud Tools Master - Completed CLI installation and setup
- 💾 Storage Architect - Set up and managed cloud storage solutions
- 📦 Container Orchestrator - Deployed first Kubernetes application
- 🚀 First Deployment - Successfully deployed application to cloud
Unlock Requirement: Complete any 3 foundation tutorials Next Level: Intermediate Achievements unlocked!
🚀 Intermediate Achievements (Developing Expertise)
- ☁️ Cloud Professional - Completed GCP crash course
- 🔄 CI/CD Automation Master - Built automated Docker pipelines
- 🤖 AI-Powered Developer - Mastered Amazon Q and VS Code Copilot
- 📱 Full-Stack Deployer - Deployed complex applications to production
Unlock Requirement: Complete Foundation level + 2 intermediate tutorials Next Level: Advanced Achievements unlocked!
🎓 Advanced Achievements (Expert Level)
- 🏢 SaaS Architect - Built complete production-ready SaaS platform
- 🧠 AI Agent Developer - Created intelligent AI agents
- 🌐 API Management Expert - Implemented enterprise API solutions
- 🔐 Security Specialist - Mastered OAuth2 and OpenID Connect
- 🚀 Cloud Migration Expert - Led infrastructure transformation
Unlock Requirement: Complete Intermediate level + 2 advanced tutorials Next Level: Enterprise Master unlocked!
🏆 Enterprise Master (Industry Leadership)
- 🎯 Enterprise AI Specialist - Mastered multi-agent systems deployment
- 🏗️ Data Platform Engineer - Built production data engineering solutions
- 🌟 Cloud Transformation Leader - Led complete enterprise cloud adoption
- 💼 Solution Architect - Designed enterprise-grade cloud architectures
Unlock Requirement: Complete Advanced level + 3 enterprise tutorials Reward: Industry recognition & career advancement opportunities!
Based on your progress, here are your next suggested tutorials:
🎯 Immediate Next Steps:
- Complete your current tutorial
- Review and practice concepts
- Plan your next learning milestone
🚀 Suggested Progression:
- [Your recommendations will appear here based on completed tutorials]
💡 Pro Tips:
- Set aside dedicated learning time each week
- Practice with real projects between tutorials
- Join the community discussions for support
Perfect for newcomers who want to see immediate results
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Install Google Cloud CLI | 30-45 min | Beginner | Development environment setup |
| 📖 Create GCP Storage Bucket | 1-2 hours | Beginner | Cloud storage for your apps |
| 📖 Deploy Next.js to GCP | 3-4 hours | Beginner-Advanced | Live web application |
🎉 End Result: A production-ready web application running on Google Cloud 💰 Cost: $0-5 USD | ⏱️ Total Time: 4-6 hours
Perfect for developers who want to work smarter, not harder
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Amazon Q for the Impatient | 4-6 hours | Beginner-Advanced | AI-powered code generation |
| 📖 Intent-Based Development with VS Code Copilot | 6-8 hours | Beginner-Advanced | Natural language programming |
| 📖 GitLab CI/CD with AWS ECR | 6-8 hours | Beginner-Advanced | Automated deployment pipeline |
| 📖 Modern Python Development Toolkit | 2-4 hours | Intermediate-Advanced | Optimized Python workflow |
🎉 End Result: AI-accelerated development with fully automated deployments 💰 Cost: $10-30 USD | ⏱️ Total Time: 18-26 hours
Perfect for developers ready to integrate AI into their applications
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Vertex AI Crash Course | 6-8 hours | Advanced | Complete ML pipeline |
| 📖 Google Agent Development Kit (ADK) | 40-60 hours | Advanced | Intelligent AI agents |
| 📖 Vertex AI Agent Engine | 12-24 hours | Advanced | Enterprise AI agent platform |
| 📖 Transcribing Audio/Video with Gemini 2.5 | 3-5 hours | Beginner-Advanced | AI transcription service |
| 📖 A2A Protocol | 8-12 hours | Beginner-Advanced | Agent-to-agent communication |
| 📖 MCP 2025-06-18 Documentation | 8-12 hours | Beginner-Advanced | AI integration protocols |
| 📖 LLM Documentation Mastery | 4-8 hours | Intermediate-Advanced | AI-optimized knowledge systems |
| 📖 Documentation for GenAI | 2-4 hours | Intermediate | LLM-friendly content strategy |
🎉 End Result: Production-ready AI applications with intelligent agents 💰 Cost: $30-80 USD | ⏱️ Total Time: 77-111 hours
Perfect for teams and organizations ready for enterprise-grade solutions
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 GCP Crash Course for AWS Professionals | 4-6 hours | Intermediate | Multi-cloud expertise |
| 📖 AWS ECS Fargate SaaS Development | 24 hours | Intermediate-Advanced | Complete SaaS platform |
| 📖 OAuth2 Authentication | 2-3 hours | Intermediate | Enterprise authentication |
| 📖 OpenID Connect (OIDC) | 2-3 hours | Intermediate | Identity management |
| 📖 Apigee API Management | 3-4 hours | Intermediate | Enterprise API platform |
| 📖 HAProxy to AWS Migration | 8-12 hours | Advanced | Infrastructure transformation |
🎉 End Result: Enterprise-grade cloud architecture with security and scalability 💰 Cost: $25-75 USD | ⏱️ Total Time: 43-52 hours
Perfect for building solid cloud computing fundamentals
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Kubernetes for Absolute Beginners | 2-3 hours | Beginner | Container orchestration |
| 📖 Google Cloud SQL for Postgres | 3-5 hours | Beginner-Intermediate | Cloud database |
| 📖 Google Cloud IAM | 2-3 hours | Intermediate | Identity and access management |
| 📖 Google Cloud Run | 2-3 hours | Intermediate | Serverless containers |
| 📖 Terraform Foundations | 4-6 hours | Intermediate | Infrastructure as Code |
🎉 End Result: Solid foundation in cloud computing essentials 💰 Cost: $5-20 USD | ⏱️ Total Time: 13-20 hours
Perfect for deep diving into specific technologies and methodologies
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 Bruno for API Testing | 2-4 hours | Beginner-Advanced | API testing automation |
| 📖 AG-UI Protocol | 6-10 hours | Beginner-Advanced | Interactive AI interfaces |
| 📖 Vertex AI Observability | 2-4 hours | Intermediate-Advanced | Production monitoring |
| 📖 Mastering Embedding Types | 8-12 hours | Intermediate-Advanced | Semantic search systems |
| 📖 Context Engineering | 4-6 hours | Intermediate-Advanced | AI context optimization |
| 📖 Prompt Engineering for Diagrams | 1-2 hours | Beginner-Advanced | AI diagram generation |
| 📖 Agentic AI Design Patterns | 8-12 hours | Advanced | Agentic system architecture → Unlock AI Agent Collaboration: Convert ADK Agents for A2A (Google Cloud Blog) |
| 📖 Data Context Modeling: Context Engineering | 4-6 hours | Intermediate-Advanced | AI context optimization |
| 📖 Context Engineering for Sales Agents | 8-12 hours | Advanced-Executive | Enterprise-grade AI sales agent context, frameworks, and production code |
🎉 End Result: Specialized expertise in cutting-edge technologies 💰 Cost: $10-40 USD | ⏱️ Total Time: 23-38 hours
Essential for organizations and professionals seeking to manage, govern, and deploy AI responsibly
| Tutorial | Duration | Level | What You'll Build |
|---|---|---|---|
| 📖 AI Risk Management: Best Practices & Implementation | 8-12 hours | Intermediate-Advanced | Comprehensive AI risk framework, compliance mapping, and implementation strategies |
🎉 End Result: Responsible, compliant, and trustworthy AI systems 💰 Cost: $10-30 USD | ⏱️ Total Time: 8-12 hours
A complete, step-by-step framework to transform your documentation for AI and LLM systems. Includes templates, architecture, business impact analysis, and a comprehensive metadata schema for agentic AI navigation.
- Guide: Complete Guide to Creating LLM-Optimized Documentation
- What you'll learn:
- How to architect AI-discoverable documentation
- Metadata and knowledge graph best practices
- Automation, QA, and ROI analysis for documentation
- Real-world business impact and case studies
Recommended for teams and individuals seeking to make their documentation AI-ready and dramatically improve developer experience.
- Choose your learning approach from the options above
- Set up prerequisites for your chosen tutorials
- Follow the tutorials at your own pace
- Track your progress using our achievement system
- Clean up resources after each tutorial to avoid unnecessary costs
If you encounter issues while following these tutorials:
- Check prerequisites - ensure all requirements are met
- Review error messages carefully - most include helpful hints
- Consult troubleshooting sections in individual tutorials
- Search for similar issues in cloud provider documentation
- Ask for help by opening an issue in this repository
🤝 Contributing: Found an error or want to add content? We welcome contributions! Open an issue or submit a pull request.
Happy Learning! 🎓
Transform your career with enterprise-grade cloud and AI skills
This repository has been developed with ❤️ by Raphaël MANSUY - a passionate technologist and AI expert with decades of experience transforming businesses through cloud and AI technologies.
Raphaël's Background:
- 🚀 CTO & Founder - Running Elitizon startup studio in Hong Kong
- 🤖 AI Pioneer - Founder of QuantaLogic AI Platform
- 📚 Published Author - The Definitive Guide to Data Integration
- 🎯 Board Member - French Tech Board Member & Technical Advisor
- 👨💻 Lifelong Developer - Coding since age 14, passionate about DataEngineering, DataScience & AI
Connect with 10,000+ AI developers, cloud architects, and tech innovators worldwide:
| Platform | Link | What You'll Get |
|---|---|---|
| raphaelmansuy | Professional insights & industry updates | |
| 🐦 Twitter/X | @raphaelmansuy | Daily AI tips & tech discussions |
| 📧 Newsletter | Exponential AI | Weekly AI breakthroughs & analysis |
| 📝 Medium | @raphael.mansuy | In-depth AI & Data Engineering articles |
| 💬 Consultation | Book a Session | 1-on-1 technical guidance |
Check out Raphaël's other innovative projects:
- 🏛️ Digital Palace - Personal knowledge management system & AI insights
- 🔧 Code2Prompt - Transform codebases into LLM-ready prompts (850+ ⭐)
- 🤖 QuantaLogic - ReAct coding agent framework (425+ ⭐)
- 🧠 Iteration of Thought - Advanced AI reasoning implementation
- 📚 Course Generator - AI-powered educational content creation
- 🆘 Need Help? Open an issue in this repository with detailed questions
- 💡 Share Ideas Contribute improvements via pull requests
- 📚 Study Groups Connect with other learners in the community
- 🔧 Technical Issues Get help from experienced developers
- 🏢 Enterprise Consulting Available for cloud migration projects
- 📈 Business Strategy AI adoption and digital transformation guidance
- 🎤 Speaking Engagements Conference talks and workshops
- 🎯 Mentorship Career guidance for aspiring cloud architects and AI engineers
- ⭐ Star this repository if you find it valuable
- 🔄 Share with colleagues and on social media
- 📢 Spread the word about your learning success stories
- 💼 Recommend to teams looking for cloud/AI training
- 📝 Contribute tutorials based on your expertise
- 🐛 Report issues or suggest improvements
- 💡 Submit new ideas for tutorials or learning paths
- 🎨 Improve documentation and user experience
- 🔍 Code Reviews - Get expert feedback on your cloud projects
- 🎯 Custom Training - Tailored workshops for your team
- 📊 Architecture Consulting - Enterprise-grade solution design
- 🚀 Implementation Support - Hands-on project assistance
Join an emerging ecosystem of learners and innovators - we're just getting started!
| Metric | Current Status | Growth Potential |
|---|---|---|
| 🌟 Community Interest |  |
📈 Just launched - growing daily |
| 📚 Tutorial Collection | 30+ comprehensive guides | 🚀 Expanding with new content weekly |
| 🌍 Global Accessibility | Available worldwide | 🌐 Reaching developers in every timezone |
| 💼 Career Impact Focus | Enterprise-grade training | 📊 Designed for measurable skill transformation |
Choose your path above and begin your transformation from cloud beginner to enterprise architect and AI specialist.
📧 Contact Raphaël | 💬 Book Consultation | 🔗 Connect on LinkedIn
"Technology is best when it brings people together." - Matt Mullenweg
Let's build the future of cloud and AI together!
Last updated: June 2025