Roadmaps

Skunkworks Academy Roadmaps

Welcome to the Skunkworks Academy Roadmaps repository! This repository is dedicated to providing comprehensive roadmaps in various fields such as Cloud Computing, Cybersecurity, Artificial Intelligence, and more. Each roadmap is designed to guide you through mastering key concepts and practical skills.

🚀 Roadmaps Overview

1. Cloud, Cybersecurity, and AI Mastery

This roadmap is divided into three major sections, each containing several topics and subtopics to cover the essential concepts and skills:

Cloud Computing

• Understanding Cloud Computing Concepts
• Different Types of Cloud Services: IaaS, PaaS, SaaS
• Public, Private, and Hybrid Clouds
• Fundamentals of Cloud Storage
• Virtualization in Cloud
• Cloud Networking and Communications

Cloud Service Providers

• Introduction to AWS, Azure, and Google Cloud
• Understanding AWS Services
• Mastering Azure Services
• Exploring Google Cloud Services
• Comparing Different Cloud Service Providers
• Understanding Cloud Pricing and Cost Management

Cloud Security

• Overview of Cloud Security
• Identifying Cloud Security Risks and Threats
• Cloud Security Best Practices
• Cloud Security Tools and Technologies
• Data Security and Privacy in the Cloud
• Cloud Security Policies and Compliance

2. Cybersecurity Fundamentals

This roadmap covers the foundational aspects of cybersecurity, focusing on threat prevention, risk management, and compliance:

Cybersecurity Concepts

• Understanding Cybersecurity Concepts
• Types of Cyber Attacks and Threats
• Understanding Firewalls and VPNs

Cyber Attack Prevention and Mitigation

• Antivirus and Anti-malware Techniques
• Intrusion Detection Systems (IDS)
• Incident Response and Forensics

Compliance and Regulatory Environment

• Understanding IT Laws and Regulations
• Data Privacy Laws and Regulations
• Compliance Auditing

3. Artificial Intelligence Concepts and Applications

This roadmap guides you through AI concepts, machine learning algorithms, tools, and practical applications:

AI Fundamentals

• Understanding AI Concepts and Terminology
• Machine Learning and Deep Learning Basics
• Supervised, Unsupervised, and Reinforcement Learning

Machine Learning Algorithms

• Understanding Linear and Logistic Regression
• Neural Networks and Deep Learning Algorithms
• Decision Trees and Random Forests

Tools and Libraries for AI

• Introduction to Python and R for AI
• Fundamentals of TensorFlow, PyTorch, and Keras
• Understanding OpenAI Gym

Practical AI Applications

• Natural Language Processing (NLP)
• Autonomous Vehicles and Robotics
• AI in Healthcare

4. NEW: Azure Learning Roadmap for M&S Senior Platform Engineers

This new 4-week intensive program is specifically designed for M&S Senior Platform Engineers:

Week 1: Core Azure Tools & Cloud Fundamentals

• Azure Portal and Azure CLI
• GitHub & GitHub Actions
• SSMS & Azure SQL Databases

Week 2: DevOps & Automation

• Azure DevOps
• Kubernetes on Azure (AKS)
• Advanced GitHub Actions

Week 3: Cost Optimization & Monitoring

• Azure Cost Management
• Dynatrace & Azure Monitor

Week 4: AI & Data Tools

• Azure AI Studio
• Databricks
• Power BI

gantt
    title M&S Senior Platform Engineers Roadmap
    dateFormat  YYYY-MM-DD
    section Week 1
    Azure Fundamentals    :a1, 2024-10-01, 5d
    section Week 2
    DevOps & Automation   :a2, 2024-10-08, 5d
    section Week 3
    Cost & Monitoring     :a3, 2024-10-15, 5d
    section Week 4
    AI & Data Tools       :a4, 2024-10-22, 5d

📁 Repository Structure

Here’s how the repository is organized to help you navigate through the roadmaps and related resources:

Roadmaps/
├── Cloud_Cybersecurity_AI-Mastery/
│   ├── README.md
│   ├── css/
│   │   └── styles.css
│   ├── js/
│   │   └── script.js
│   ├── images/
│   │   └── roadmap-diagrams.png
│   ├── index.html
│   ├── foundations.html
│   ├── providers.html
│   ├── security.html
│   └── resources.html
├── Cybersecurity_Fundamentals/
│   ├── README.md
│   ├── css/
│   │   └── styles.css
│   ├── js/
│   │   └── script.js
│   ├── images/
│   │   └── roadmap-diagrams.png
│   ├── index.html
│   ├── concepts.html
│   ├── prevention.html
│   ├── compliance.html
│   └── resources.html
├── AI_Concepts_Applications/
│   ├── README.md
│   ├── css/
│   │   └── styles.css
│   ├── js/
│   │   └── script.js
│   ├── images/
│   │   └── roadmap-diagrams.png
│   ├── index.html
│   ├── ai_fundamentals.html
│   ├── ml_algorithms.html
│   ├── tools_libraries.html
│   ├── ai_applications.html
│   └── resources.html
├── Azure_MS_Platform_Engineers/
│   ├── README.md
│   ├── css/
│   │   └── styles.css
│   ├── js/
│   │   └── script.js
│   ├── images/
│   │   └── roadmap-diagrams.png
│   ├── index.html
│   ├── week1.html
│   ├── week2.html
│   ├── week3.html
│   ├── week4.html
│   └── resources.html
└── README.md

🛠️ How to Use These Roadmaps

1. Start with the Overview: Begin with the roadmap that aligns with your interests or career goals.
2. Follow the Roadmap: Work through each topic in the order provided, utilizing the linked resources for deeper learning.
3. Track Your Progress: Use the interactive checklists and progress bars in the HTML pages to monitor your learning journey.
4. Explore Additional Resources: Each roadmap includes a list of additional resources for further exploration.

🧩 Contributing

We welcome contributions to this repository! If you have suggestions for new roadmaps or improvements to existing ones, feel free to create a pull request or open an issue.

Contribution Guidelines

• Fork the repository.
• Create a new branch (feature/your-feature-name).
• Commit your changes with clear commit messages.
• Push to the branch and submit a pull request.

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🌐 Links and References

• Skunkworks Academy Website
• Skunkworks Academy GitHub

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Happy Learning! 🚀

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