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AI/ML Engineer Roadmap

Generate personalized AI/ML engineering career roadmaps based on individual experience, skills, and goals.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.0
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AI/ML Engineer Roadmap

# Overview The AI/ML Engineer Roadmap API is a professional career development platform designed to help aspiring and current engineers navigate the complex path to entry-level AI/ML engineering roles. By analyzing your current experience, existing technical skills, and career aspirations, this API generates a customized learning roadmap that bridges gaps between where you are today and where you want to be. This platform is ideal for self-taught developers transitioning into machine learning, computer science graduates seeking specialization, and career-changers aiming to enter the AI/ML industry. The API leverages assessment data to create personalized guidance, ensuring that your learning path is efficient, relevant, and aligned with real-world industry requirements. Key capabilities include comprehensive skill gap analysis, personalized curriculum recommendations, milestone tracking through session management, and continuous roadmap refinement based on your evolving profile. Whether you're starting from fundamentals or building on existing knowledge, this roadmap generator ensures a structured approach to career advancement in AI/ML engineering. ## Usage ### Sample Request ```json { "assessmentData": { "experience": { "yearsInIT": 2, "previousRoles": ["Software Developer", "Data Analyst"], "industryBackground": "Finance" }, "skills": { "programming": ["Python", "SQL", "Java"], "mathematics": ["Statistics", "Linear Algebra"], "ml_frameworks": ["Scikit-learn"] }, "goals": { "targetRole": "ML Engineer", "timeline": "12 months", "specialization": "Computer Vision" }, "sessionId": "sess_abc123def456", "timestamp": "2024-01-15T10:30:00Z" }, "sessionId": "sess_abc123def456", "userId": 42, "timestamp": "2024-01-15T10:30:00Z" } ``` ### Sample Response ```json { "roadmapId": "roadmap_xyz789", "userId": 42, "sessionId": "sess_abc123def456", "generatedAt": "2024-01-15T10:30:15Z", "timeline": "12 months", "phases": [ { "phase": 1, "title": "Foundation Strengthening", "duration": "3 months", "focus": ["Advanced Python", "Mathematics for ML", "Data Structures"], "resources": ["Andrew Ng's ML Specialization", "Linear Algebra by 3Blue1Brown"], "milestones": ["Complete Python fundamentals", "Master linear algebra basics"] }, { "phase": 2, "title": "Core ML Concepts", "duration": "3 months", "focus": ["Supervised Learning", "Unsupervised Learning", "Model Evaluation"], "resources": ["Hands-On Machine Learning book", "Kaggle competitions"], "milestones": ["Build 3 end-to-end projects", "Achieve 80% accuracy on benchmark"] }, { "phase": 3, "title": "Computer Vision Specialization", "duration": "4 months", "focus": ["CNN architectures", "Image preprocessing", "Transfer Learning", "Object Detection"], "resources": ["Fast.ai Computer Vision course", "OpenCV documentation"], "milestones": ["Complete 2 CV projects", "Understand ResNet and VGG"] }, { "phase": 4, "title": "Industry Readiness", "duration": "2 months", "focus": ["Production ML", "Model deployment", "Portfolio building", "Interview prep"], "resources": ["MLOps.community resources", "System design for ML"], "milestones": ["Deploy model to cloud", "Complete portfolio with 5+ projects"] } ], "skillGaps": [ { "skill": "Deep Learning Frameworks", "current": "Beginner", "required": "Advanced", "priority": "High" }, { "skill": "Production ML Engineering", "current": "None", "required": "Intermediate", "priority": "High" }, { "skill": "Cloud Platforms (AWS/GCP)", "current": "Beginner", "required": "Intermediate", "priority": "Medium" } ], "recommendations": [ "Focus on TensorFlow and PyTorch for deep learning", "Build projects with real-world datasets from Kaggle", "Contribute to open-source ML projects to gain practical experience", "Practice system design for ML systems", "Network with ML engineers on LinkedIn and in local communities" ] } ``` ## Endpoints ### GET / **Description:** Root endpoint that returns basic API information. **Parameters:** None **Response:** Basic API metadata object. --- ### GET /health **Description:** Health check endpoint to verify API availability and operational status. **Parameters:** None **Response:** Health status object indicating the API is operational. --- ### POST /api/aiml/roadmap **Description:** Generate a personalized AI/ML engineering career roadmap based on assessment data, experience level, current skills, and career goals. **Request Body Parameters:** | Name | Type | Required | Description | |------|------|----------|-------------| | assessmentData | AssessmentData object | Yes | Contains experience, skills, goals, sessionId, and timestamp. The `experience` field is an object capturing years in IT, previous roles, and industry background. The `skills` field is an object documenting programming languages, mathematics knowledge, and ML frameworks. The `goals` field is an object specifying target role, timeline, and specialization area. | | sessionId | String | Yes | Unique identifier for this assessment session, used for tracking and correlating requests. | | userId | Integer or Null | No | Optional user identifier for authenticated requests; omit or set to null for anonymous assessments. | | timestamp | String | Yes | ISO 8601 formatted timestamp indicating when the roadmap request was initiated. | **Response Schema:** ``` { "roadmapId": "string", "userId": "integer or null", "sessionId": "string", "generatedAt": "string (ISO 8601 timestamp)", "timeline": "string", "phases": [ { "phase": "integer", "title": "string", "duration": "string", "focus": ["string"], "resources": ["string"], "milestones": ["string"] } ], "skillGaps": [ { "skill": "string", "current": "string (proficiency level)", "required": "string (proficiency level)", "priority": "string (High/Medium/Low)" } ], "recommendations": ["string"] } ``` **Error Response (422 Validation Error):** If required fields are missing or validation fails, the API returns a 422 Validation Error with details on the specific fields that failed validation. ## Pricing | Plan | Calls/Day | Calls/Month | Price | |------|-----------|-------------|-------| | Free | 5 | 50 | Free | | Developer | 20 | 500 | $39/mo | | Professional | 200 | 5,000 | $99/mo | | Enterprise | 100,000 | 1,000,000 | $299/mo | ## About ToolWeb.in - 200+ security APIs, CISSP & CISM, platforms: Pay-per-run, API Gateway, MCP Server, OpenClaw, RapidAPI, YouTube. - [toolweb.in](https://toolweb.in) - [portal.toolweb.in](https://portal.toolweb.in) - [hub.toolweb.in](https://hub.toolweb.in) - [toolweb.in/openclaw/](https://toolweb.in/openclaw/) - [rapidapi.com/user/mkrishna477](https://rapidapi.com/user/mkrishna477) - [youtube.com/@toolweb-009](https://youtube.com/@toolweb-009) ## References - **Kong Route:** https://api.mkkpro.com/career/ai-ml-engineer - **API Docs:** https://api.mkkpro.com:8055/docs

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 ai-ml-engineer-1776073031 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 ai-ml-engineer-1776073031 技能

通过命令行安装

skillhub install ai-ml-engineer-1776073031

下载 Zip 包

⬇ 下载 AI/ML Engineer Roadmap v1.0.0

文件大小: 4.38 KB | 发布时间: 2026-4-14 13:04

v1.0.0 最新 2026-4-14 13:04
AI/ML Engineer Roadmap (v1.0.0) — Initial release

- Launches a personalized AI/ML engineering career roadmap generator based on user experience, skills, and goals.
- Provides skill gap analysis, curriculum recommendations, and milestone tracking through session management.
- Includes detailed API documentation with usage examples, endpoint descriptions, and response schemas.
- Offers multiple pricing plans, including a free tier.
- Supports both authenticated and anonymous assessments with session tracking.

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