mkdocs.yml

site_name: mindstack
site_description: A comprehensive learning platform for modern technologies
site_author: mindstack
# Updated: Added Quantitative Research & Trading course

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nav:
  - Home: index.md
  - Quant Trading:
    - Overview: courses/quant-research-trader/README.md
    - Fundamentals:
      - Introduction: courses/quant-research-trader/01-introduction.md
      - Mathematics Fundamentals: courses/quant-research-trader/02-mathematics-fundamentals.md
      - Financial Markets Basics: courses/quant-research-trader/03-financial-markets-basics.md
      - Python for Quantitative Finance: courses/quant-research-trader/04-python-quant-finance.md
      - Financial Data Analysis: courses/quant-research-trader/05-financial-data-analysis.md
    - Trading Strategies:
      - Technical Analysis: courses/quant-research-trader/06-technical-analysis.md
      - Statistical Concepts for Trading: courses/quant-research-trader/07-statistical-concepts.md
      - Trading Strategies: courses/quant-research-trader/08-trading-strategies.md
      - Risk Management: courses/quant-research-trader/09-risk-management.md
    - Advanced Topics:
      - Advanced Trading Strategies: courses/quant-research-trader/10-advanced-strategies.md
      - Backtesting & Validation: courses/quant-research-trader/11-backtesting-validation.md
      - Portfolio Management: courses/quant-research-trader/12-portfolio-management.md
      - Options & Derivatives: courses/quant-research-trader/13-options-derivatives.md
    - Research & Production:
      - Quantitative Research Methods: courses/quant-research-trader/14-quantitative-research.md
      - Machine Learning for Trading: courses/quant-research-trader/15-machine-learning-trading.md
      - Paper Trading & Live Trading: courses/quant-research-trader/16-paper-trading-live.md
      - Performance Analysis: courses/quant-research-trader/17-performance-analysis.md
      - Resources & Further Learning: courses/quant-research-trader/18-resources.md
  - PyTorch Course:
    - Overview: courses/pytorch/README.md
    - Fundamentals:
      - Introduction & Installation: courses/pytorch/01-introduction.md
      - Tensors Basics: courses/pytorch/02-tensors-basics.md
      - Tensor Operations: courses/pytorch/03-tensor-operations.md
      - Autograd & Gradients: courses/pytorch/04-autograd.md
    - Neural Networks:
      - Building Neural Networks: courses/pytorch/05-neural-networks.md
      - Loss Functions: courses/pytorch/06-loss-functions.md
      - Optimizers: courses/pytorch/07-optimizers.md
      - Training Loop: courses/pytorch/08-training-loop.md
    - Data Handling:
      - Datasets & DataLoaders: courses/pytorch/09-datasets-dataloaders.md
      - Data Transformations: courses/pytorch/10-data-transformations.md
      - Custom Datasets: courses/pytorch/11-custom-datasets.md
    - Advanced Architectures:
      - Convolutional Neural Networks: courses/pytorch/12-cnns.md
      - Recurrent Neural Networks: courses/pytorch/13-rnns.md
    - Advanced Topics:
      - Transfer Learning: courses/pytorch/14-transfer-learning.md
      - Model Saving & Loading: courses/pytorch/15-model-saving.md
      - GPU Acceleration: courses/pytorch/16-gpu-acceleration.md
      - Model Deployment: courses/pytorch/17-deployment.md
      - Debugging & Visualization: courses/pytorch/18-debugging-visualization.md
      - Advanced Topics: courses/pytorch/19-advanced-topics.md
      - Best Practices: courses/pytorch/20-best-practices.md
    - Quick References:
      - Quick Reference: courses/pytorch/quick-reference.md
      - Debugging Checklist: courses/pytorch/debugging-checklist.md
      - Performance Tips: courses/pytorch/performance-tips.md
      - Complete Guide: courses/pytorch/GUIDE.md
  - Docker Course:
    - Overview: courses/docker/README.md
    - Fundamentals:
      - Introduction: courses/docker/01-intro.md
      - Working with Containers: courses/docker/02-containers.md
      - Docker Images: courses/docker/03-images.md
      - Advanced Dockerfiles: courses/docker/04-dockerfiles-advanced.md
    - Core Concepts:
      - Docker Networking: courses/docker/05-networking.md
      - Volumes and Data Management: courses/docker/06-volumes.md
      - Docker Compose: courses/docker/07-docker-compose.md
    - Production Ready:
      - Security: courses/docker/08-security.md
      - Performance Optimization: courses/docker/09-performance.md
      - Production Deployment: courses/docker/10-production.md
    - Advanced Topics:
      - System Troubleshooting: courses/docker/11-troubleshooting.md
      - Advanced Topics: courses/docker/12-advanced.md
      - Best Practices: courses/docker/13-best-practices.md
  - DevOps Interview Course:
    - Overview: courses/devops-interview/README.md
    - Fundamentals:
      - Introduction: courses/devops-interview/01-introduction.md
      - Linux Fundamentals: courses/devops-interview/02-linux-fundamentals.md
      - Shell Scripting: courses/devops-interview/03-shell-scripting.md
      - Git & Version Control: courses/devops-interview/04-git-version-control.md
    - Container Technologies:
      - Docker Deep Dive: courses/devops-interview/05-docker-deep-dive.md
      - Kubernetes Mastery: courses/devops-interview/06-kubernetes-mastery.md
      - Container Orchestration: courses/devops-interview/07-container-orchestration.md
    - CI/CD & Automation:
      - CI/CD Pipelines: courses/devops-interview/08-cicd-pipelines.md
      - GitHub Actions & GitLab CI: courses/devops-interview/09-github-actions-gitlab.md
      - Infrastructure as Code: courses/devops-interview/10-infrastructure-as-code.md
    - Cloud & Infrastructure:
      - AWS Services: courses/devops-interview/11-aws-services.md
      - Cloud Architecture: courses/devops-interview/12-cloud-architecture.md
      - Monitoring & Logging: courses/devops-interview/13-monitoring-logging.md
    - Advanced Topics:
      - System Design: courses/devops-interview/14-system-design.md
      - Security Best Practices: courses/devops-interview/15-security.md
      - Troubleshooting: courses/devops-interview/16-troubleshooting.md
      - Interview Questions: courses/devops-interview/17-interview-questions.md
      - Resources & Reading: courses/devops-interview/18-resources-reading.md
      - SRE AIML Resources: courses/devops-interview/19-sre-aiml-resources.md
  - eBPF Practical Course:
    - Overview: courses/ebpf/README.md
    - Fundamentals:
      - Introduction to eBPF: courses/ebpf/01-introduction.md
      - eBPF Architecture: courses/ebpf/02-architecture.md
      - Development Environment: courses/ebpf/03-development-environment.md
    - Core Concepts:
      - eBPF Programs: courses/ebpf/04-ebpf-programs.md
      - Maps & Data Structures: courses/ebpf/05-maps-data-structures.md
      - Helper Functions: courses/ebpf/06-helper-functions.md
    - Practical Examples:
      - System Monitoring: courses/ebpf/07-system-monitoring.md
      - Network Tracing: courses/ebpf/08-network-tracing.md
      - Security & Enforcement: courses/ebpf/09-security-enforcement.md
      - Performance Profiling: courses/ebpf/10-performance-profiling.md
    - Advanced Topics:
      - XDP Programming: courses/ebpf/11-xdp-programming.md
      - BPF CO-RE: courses/ebpf/12-bpf-core.md
      - Advanced Techniques: courses/ebpf/13-advanced-techniques.md
    - Resources & Research:
      - Research Papers: courses/ebpf/14-research-papers.md
      - Articles & Blogs: courses/ebpf/15-articles-blogs.md
      - Recommended Reading: courses/ebpf/16-recommended-reading.md
      - Tools & Libraries: courses/ebpf/17-tools-libraries.md
  - AI & ML Research Guide:
    - Overview: courses/ai-ml-research-guide/README.md
    - Quick Reference: courses/ai-ml-research-guide/quick-reference.md
    - Research Prompts Guide: courses/ai-ml-research-guide/research-prompts-guide.md
    - Research Topics:
      - Transfer Learning & Fine-tuning: courses/ai-ml-research-guide/topic-01-transfer-learning.md
      - Data Augmentation: courses/ai-ml-research-guide/topic-02-data-augmentation.md
      - Attention & Transformers: courses/ai-ml-research-guide/topic-03-attention-transformers.md
    - Beginner Level:
      - Introduction to Research: courses/ai-ml-research-guide/01-introduction.md
      - How to Read Research Papers: courses/ai-ml-research-guide/02-reading-papers.md
      - Finding and Organizing Resources: courses/ai-ml-research-guide/03-finding-resources.md
      - Research Topics Selection: courses/ai-ml-research-guide/04-topic-selection.md
      - Basic Research Methodology: courses/ai-ml-research-guide/05-basic-methodology.md
    - Intermediate Level:
      - Literature Review: courses/ai-ml-research-guide/06-literature-review.md
      - Research Design & Experimental Setup: courses/ai-ml-research-guide/07-research-design.md
      - Data Collection & Management: courses/ai-ml-research-guide/08-data-management.md
      - Reproducing Research Papers: courses/ai-ml-research-guide/09-reproducing-papers.md
      - Research Tools & Platforms: courses/ai-ml-research-guide/10-research-tools.md
    - Advanced Level:
      - Writing Research Papers: courses/ai-ml-research-guide/11-writing-papers.md
      - Publication Process: courses/ai-ml-research-guide/12-publication-process.md
      - Research Ethics & Best Practices: courses/ai-ml-research-guide/13-ethics-practices.md
      - Advanced Research Topics: courses/ai-ml-research-guide/14-advanced-topics.md
      - Career in Research: courses/ai-ml-research-guide/15-career-guidance.md
  - Quantum Computing & Machine Learning:
    - Overview: courses/quantum-computing-ml/README.md
    - "Module 1: Introduction to Quantum Computing": courses/quantum-computing-ml/01-introduction.md
    - "Module 2: Postulates of Quantum Computing": courses/quantum-computing-ml/02-postulates.md
    - "Module 3: Introduction to Quantum Algorithms": courses/quantum-computing-ml/03-quantum-algorithms.md
    - "Module 4: Quantum Fourier Transform": courses/quantum-computing-ml/04-quantum-fourier-transform.md
    - "Module 5: Quantum Machine Learning": courses/quantum-computing-ml/05-quantum-ml.md
    - "Module 6: Quantum Deep Learning": courses/quantum-computing-ml/06-quantum-deep-learning.md
    - "Module 7: Variational Optimization": courses/quantum-computing-ml/07-variational-optimization.md
    - Projects: courses/quantum-computing-ml/08-projects.md
    - Terminology Guide: courses/quantum-computing-ml/09-terminology.md
    - Resources & Career Guide: courses/quantum-computing-ml/10-resources-career.md
  - Advanced Kubernetes Troubleshooting:
    - Overview: courses/advanced-kubernetes-troubleshooting/README.md
    - "Part 1: Advanced Architecture & Internals":
      - Advanced Architecture Deep Dive: courses/advanced-kubernetes-troubleshooting/01-advanced-architecture.md
      - API Server & Authentication: courses/advanced-kubernetes-troubleshooting/02-api-server-auth.md
      - etcd Operations & Troubleshooting: courses/advanced-kubernetes-troubleshooting/03-etcd-operations.md
      - Scheduler & Controller Manager: courses/advanced-kubernetes-troubleshooting/04-scheduler-controllers.md
    - "Part 2: Advanced Networking & Service Mesh":
      - Advanced Networking & CNI: courses/advanced-kubernetes-troubleshooting/05-advanced-networking.md
      - Service Mesh Deep Dive: courses/advanced-kubernetes-troubleshooting/06-service-mesh.md
      - Ingress & Load Balancing: courses/advanced-kubernetes-troubleshooting/07-ingress-loadbalancing.md
    - "Part 3: Storage & Stateful Workloads":
      - Advanced Storage Patterns: courses/advanced-kubernetes-troubleshooting/08-advanced-storage.md
      - StatefulSets & Operators: courses/advanced-kubernetes-troubleshooting/09-statefulsets-operators.md
    - "Part 4: Performance & Resource Management":
      - Resource Management & Limits: courses/advanced-kubernetes-troubleshooting/10-resource-management.md
      - Performance Tuning: courses/advanced-kubernetes-troubleshooting/11-performance-tuning.md
      - HPA & VPA Deep Dive: courses/advanced-kubernetes-troubleshooting/12-hpa-vpa.md
    - "Part 5: Security & Compliance":
      - Advanced Security Hardening: courses/advanced-kubernetes-troubleshooting/13-security-hardening.md
      - Compliance & Auditing: courses/advanced-kubernetes-troubleshooting/14-compliance-auditing.md
    - "Part 6: Observability & Troubleshooting":
      - Advanced Monitoring & Metrics: courses/advanced-kubernetes-troubleshooting/15-advanced-monitoring.md
      - Logging & Tracing: courses/advanced-kubernetes-troubleshooting/16-logging-tracing.md
      - Troubleshooting Methodology: courses/advanced-kubernetes-troubleshooting/17-troubleshooting-methodology.md
    - "Part 7: Multi-Cluster & Operations":
      - Multi-Cluster Management: courses/advanced-kubernetes-troubleshooting/18-multi-cluster.md
      - Disaster Recovery & Backup: courses/advanced-kubernetes-troubleshooting/19-disaster-recovery.md
      - Day-2 Operations: courses/advanced-kubernetes-troubleshooting/20-day2-operations.md
  - Resources Hub:
      - Overview: courses/resources-hub/README.md
      - Machine Learning: courses/resources-hub/01-machine-learning.md
      - DevOps: courses/resources-hub/02-devops.md
      - Site Reliability Engineering (SRE): courses/resources-hub/03-sre.md
      - Platform Engineering: courses/resources-hub/04-platform-engineering.md
      - Cloud Computing: courses/resources-hub/05-cloud-computing.md
      - System Design: courses/resources-hub/06-system-design.md
      - Security: courses/resources-hub/07-security.md
      - Data Engineering: courses/resources-hub/08-data-engineering.md
      - AI & ML Graduate Studies: courses/resources-hub/09-ai-ml-graduate-studies.md
      - Databases: courses/resources-hub/10-databases.md
      - Troubleshooting: courses/resources-hub/11-troubleshooting.md
      - Performance Engineering: courses/resources-hub/12-performance-engineering.md

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repo_url: https://github.com/shivam2003-dev/mindstack
repo_name: mindstack
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