IHeartAI.ai AI Learning Agent

The IHeartAI.ai AI Learning Agent recommends tutorials, guides learners through AI projects, and provides personalized learning paths for AI and machine learning education.

Overview

This agent specializes in AI education, helping learners at all levels navigate the complex landscape of AI/ML concepts, tools, and best practices through personalized guidance.

Key Capabilities

Tutorial Recommendations

• Personalized learning paths based on skill level
• Curated tutorials for specific topics and technologies
• Interactive coding exercises and challenges
• Progress tracking and skill assessment

Project Guidance

• Step-by-step project walkthroughs
• Code review and debugging assistance
• Best practice recommendations
• Portfolio project suggestions

Learning Path Curation

• Custom learning roadmaps for career goals
• Prerequisite tracking and recommendations
• Resource aggregation (courses, books, papers)
• Skill gap analysis

Example Tools

recommend_tutorials

Get personalized tutorial recommendations.

Code
 
{
  "name": "recommend_tutorials",
  "description": "Recommend tutorials based on learning goals and current skill level",
  "inputSchema": {
    "type": "object",
    "properties": {
      "topic": {
        "type": "string",
        "description": "AI/ML topic to learn (e.g., 'deep learning', 'NLP', 'computer vision')"
      },
      "skill_level": {
        "type": "string",
        "enum": ["beginner", "intermediate", "advanced"],
        "description": "Current skill level"
      },
      "learning_style": {
        "type": "string",
        "enum": ["video", "text", "interactive", "hands_on", "mixed"],
        "default": "mixed"
      },
      "time_commitment": {
        "type": "string",
        "description": "Available time per week (e.g., '5 hours')"
      },
      "goals": {
        "type": "array",
        "items": { "type": "string" },
        "description": "Learning goals (e.g., ['build chatbot', 'get ML job'])"
      },
      "include_prerequisites": {
        "type": "boolean",
        "default": true,
        "description": "Include prerequisite tutorials"
      }
    },
    "required": ["topic", "skill_level"]
  }
}

create_learning_path

Generate a personalized learning path.

Code
 
{
  "name": "create_learning_path",
  "description": "Create a comprehensive learning path for a specific goal",
  "inputSchema": {
    "type": "object",
    "properties": {
      "goal": {
        "type": "string",
        "description": "Learning goal (e.g., 'Become an ML Engineer', 'Master NLP')"
      },
      "current_skills": {
        "type": "array",
        "items": { "type": "string" },
        "description": "Skills you already have"
      },
      "target_skills": {
        "type": "array",
        "items": { "type": "string" },
        "description": "Skills you want to acquire"
      },
      "timeline": {
        "type": "string",
        "description": "Timeframe to achieve goal (e.g., '6 months')"
      },
      "include_projects": {
        "type": "boolean",
        "default": true,
        "description": "Include hands-on projects in path"
      },
      "include_certifications": {
        "type": "boolean",
        "default": false,
        "description": "Include certification recommendations"
      }
    },
    "required": ["goal"]
  }
}

guide_project

Get step-by-step guidance for an AI project.

Code
 
{
  "name": "guide_project",
  "description": "Get guided assistance for building an AI/ML project",
  "inputSchema": {
    "type": "object",
    "properties": {
      "project_description": {
        "type": "string",
        "description": "What you want to build"
      },
      "project_type": {
        "type": "string",
        "enum": [
          "chatbot",
          "image_classifier",
          "recommender",
          "nlp_app",
          "computer_vision",
          "time_series"
        ],
        "description": "Type of project"
      },
      "current_progress": {
        "type": "string",
        "enum": ["not_started", "planning", "data_collection", "model_building", "deployment"],
        "description": "Current stage of project"
      },
      "tech_stack": {
        "type": "array",
        "items": { "type": "string" },
        "description": "Technologies you're using or want to use"
      },
      "help_needed": {
        "type": "array",
        "items": {
          "type": "string",
          "enum": [
            "architecture",
            "data_prep",
            "model_selection",
            "training",
            "debugging",
            "deployment"
          ]
        }
      }
    },
    "required": ["project_description", "project_type"]
  }
}

assess_skills

Assess current AI/ML skills and identify gaps.

Code
 
{
  "name": "assess_skills",
  "description": "Assess skills and identify learning gaps",
  "inputSchema": {
    "type": "object",
    "properties": {
      "domain": {
        "type": "string",
        "enum": [
          "machine_learning",
          "deep_learning",
          "nlp",
          "computer_vision",
          "mlops",
          "data_science"
        ],
        "description": "Domain to assess"
      },
      "self_assessment": {
        "type": "object",
        "additionalProperties": {
          "type": "integer",
          "minimum": 1,
          "maximum": 5
        },
        "description": "Self-rated skills (1-5 scale)"
      },
      "target_role": {
        "type": "string",
        "description": "Target job role (e.g., 'ML Engineer', 'Data Scientist')"
      },
      "include_quiz": {
        "type": "boolean",
        "default": false,
        "description": "Include interactive skill quiz"
      },
      "generate_roadmap": {
        "type": "boolean",
        "default": true,
        "description": "Generate learning roadmap to close gaps"
      }
    },
    "required": ["domain"]
  }
}

Available Resources

• Tutorial Library: Curated collection of AI/ML tutorials and courses
• Project Templates: Starter templates for common AI projects
• Learning Roadmaps: Pre-built learning paths for various goals
• Code Examples: Annotated code examples and best practices

Connection Details

Code
 
# MCP Server URL (Placeholder)
mcp://learning.iheartai.ai

# Server Name
iheartai-learning

# Required Environment Variables
IHEARTAI_API_KEY=your-api-key

Example Prompts

Code
 
Recommend tutorials for learning transformer models, I'm intermediate in deep learning,
    prefer video content, have 10 hours per week.

Use Cases

• Career Transition: "I want to switch from web dev to ML engineering"
• Skill Building: "Learn computer vision for my robotics project"
• Project Help: "How do I fine-tune BERT for my use case?"
• Assessment: "What skills do I need to become a senior ML engineer?"

Next Steps

Related Agents

• GetDIYAI.com - Build AI apps without deep ML knowledge
• BrightPath.ai - Understand model selection
• MLNinjas.com - Learn experiment tracking