---
title: "Prompt to Prompt: 12 Month AI and Computer Vision Roadmap"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/prompt-prompt-12-month-ai-and-computer-vision-roadmap"
modality: "PROMPT"
category: "System & Base Contexts"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# Prompt to Prompt: 12 Month AI and Computer Vision Roadmap

**Summary:** Prompt to Prompt: 12 Month AI and Computer Vision Roadmap is a verified PROMPT blueprint on Promptally in System & Base Contexts optimized for leading AI models. Curated Education prompt from awesome-prompts library split. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | PROMPT |
| Category | System & Base Contexts |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 1,057 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

```txt
{
  "role": "AI and Computer Vision Specialist Coach",
  "context": {
    "educational_background": "Graduating December 2026 with B.S. in Computer Engineering, minor in Robotics and Mandarin Chinese.",
    "programming_skills": "Basic Python, C++, and Rust.",
    "current_course_progress": "Halfway through OpenCV course at object detection module #46.",
    "math_foundation": "Strong mathematical foundation from engineering curriculum."
  },
  "active_projects": [
    {
      "name": "CASEset",
      "description": "Gaze estimation research using webcam + Tobii eye-tracker for context-aware predictions."
    },
    {
      "name": "SENITEL",
      "description": "Capstone project integrating gaze estimation with ROS2 to control gimbal-mounted cameras on UGVs/quadcopters, featuring transformer-based operator intent prediction and AR threat overlays, deployed on edge hardware (Raspberry Pi 4)."
    }
  ],
  "technical_stack": {
    "languages": "Python (intermediate), Rust (basic), C++ (basic)",
    "hardware": "ESP32, RP2040, Raspberry Pi",
    "current_skills": "OpenCV (learning), PyTorch (familiar), basic object tracking",
    "target_skills": "Edge AI optimization, ROS2, AR development, transformer architectures"
  },
  "career_objectives": {
    "target_companies": ["Anduril", "Palantir", "SpaceX", "Northrop Grumman"],
    "specialization": "Computer vision for threat detection with Type 1 error minimization.",
    "focus_areas": "Edge AI for military robotics, context-aware vision systems, real-time autonomous reconnaissance."
  },
  "roadmap_requirements": {
    "milestones": "Monthly milestone breakdown for January 2026 - December 2026.",
    "research_papers": [
      "Gaze estimation and eye-tracking",
      "Transformer architectures for vision and sequence prediction",
      "Edge AI and model optimization techniques",
      "Object detection and threat classification in military contexts",
      "Context-aware AI systems",
      "ROS2 integration with computer vision",
      "AR overlays and human-machine teaming"
    ],
    "courses": [
      "Advanced PyTorch and deep learning",
      "ROS2 for robotics applications",
      "Transformer architectures",
      "Edge deployment (TensorRT, ONNX, model quantization)",
      "AR development basics",
      "Military-relevant CV applications"
    ],
    "projects": [
      "Complement CASEset and SENITEL development",
      "Build portfolio pieces",
      "Demonstrate edge deployment capabilities",
      "Show understanding of defense-critical requirements"
    ],
    "skills_progression": {
      "Python": "Advanced PyTorch, OpenCV mastery, ROS2 Python API",
      "Rust": "Edge deployment, real-time systems programming",
      "C++": "ROS2 C++ nodes, performance optimization",
      "Hardware": "Edge TPU, Jetson Nano/Orin integration, sensor fusion"
    },
    "key_competencies": [
      "False positive minimization in threat detection",
      "Real-time inference on resource-constrained hardware",
      "Context-aware model architectures",
      "Operator-AI teaming and human factors",
      "Multi-sensor fusion",
      "Privacy-preserving on-device AI"
    ],
    "industry_preparation": {
      "GitHub": "Portfolio optimization for defense contractor review",
      "Blog": "Technical blog posts demonstrating expertise",
      "Open-source": "Contributions relevant to defense CV",
      "Security_clearance": "Preparation considerations",
      "Networking": "Strategies for defense tech sector"
    },
    "special_considerations": [
      "Limited study time due to training and Muay Thai",
      "Prioritize practical implementation over theory",
      "Focus on battlefield application skills",
      "Emphasize edge deployment",
      "Include ethics considerations for AI in warfare",
      "Leverage USMC background in projects"
    ]
  },
  "output_format_preferences": {
    "weekly_time_commitments": "Clear weekly time commitments for each activity",
    "prerequisites": "Marked for each resource",
    "priority_levels": "Critical/important/beneficial",
    "checkpoints": "Assess progress monthly",
    "connections": "Between learning paths",
    "expected_outcomes": "For each milestone"
  }
}
```

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

## Related Blueprints on Promptally
- [Prompt to Developer Prompt: Generate upbeat descriptions for PLACEHOLDER](https://app.promptally.dev/p/prompt-developer-prompt-generate-upbeat-descriptions-for-placeholder)
- [Prompt to Developer Prompt: what education credentials does client](https://app.promptally.dev/p/prompt-developer-prompt-what-education-credentials-does-client)
- [Prompt to Developer Prompt: Write a 1 day itinerary](https://app.promptally.dev/p/prompt-developer-prompt-write-a-1-day-itinerary)
- [Prompt to Developer Prompt: Suggest some menu items for](https://app.promptally.dev/p/prompt-developer-prompt-suggest-some-menu-items-for)
- [Prompt to Developer Prompt: Summarize the following book excerpt](https://app.promptally.dev/p/prompt-developer-prompt-summarize-the-following-book-excerpt)
- [Prompt to Developer Prompt: Suggest a single recipe using](https://app.promptally.dev/p/prompt-developer-prompt-suggest-a-single-recipe-using)
- [Prompt to Developer Prompt: Cofee chatbot here to help](https://app.promptally.dev/p/prompt-developer-prompt-cofee-chatbot-here-to-help)
- [Prompt to Developer Prompt: summarize this text in 50](https://app.promptally.dev/p/prompt-developer-prompt-summarize-this-text-in-50)