# Interactive Learning Paths for AITBC Agent Training

**Last Updated:** 2026-05-09  
**Version:** 1.0  
**Purpose:** Role-based learning paths for different user types in the AITBC ecosystem

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## Overview

This document provides interactive, role-based learning paths through the AITBC agent training curriculum. Each path is tailored to a specific role and focuses on the most relevant training stages and scenarios for that role.

## Learning Paths

### Path 1: Wallet Operator

**Target Audience:** Users who need to manage AIT tokens, send transactions, and participate in basic blockchain operations  
**Prerequisites:** Basic computer literacy, understanding of blockchain concepts  
**Estimated Duration:** 3-4 hours

#### Stage Sequence

**Stage 1: Foundation** (Required)
- [01 Wallet Basics](../scenarios/01_wallet_basics.md) - Create and manage wallets
- [02 Transaction Sending](../scenarios/02_transaction_sending.md) - Send AIT tokens
- [06 Basic Trading](../scenarios/06_basic_trading.md) - Basic trading operations

**Stage 2: Operations Mastery** (Recommended)
- [10 Plugin Development](../scenarios/10_plugin_development.md) - Extend wallet functionality
- [13 Mining Setup](../scenarios/13_mining_setup.md) - Earn tokens through mining
- [14 Staking Basics](../scenarios/14_staking_basics.md) - Earn passive rewards

**Stage 4: Marketplace Economics** (Optional)
- [08 Marketplace Bidding](../scenarios/08_marketplace_bidding.md) - Acquire resources
- [09 GPU Listing](../scenarios/09_gpu_listing.md) - Monetize GPU resources

#### Key Learning Outcomes
- Create and secure AIT wallets
- Send and receive transactions
- Participate in marketplace operations
- Earn rewards through mining and staking

#### Assessment Criteria
- Successfully create a wallet and send a transaction
- Complete a marketplace bid or listing
- Set up mining or staking operations

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### Path 2: AI Specialist

**Target Audience:** Users focused on AI job submission, model training, and distributed computing  
**Prerequisites:** Python programming, machine learning basics, GPU computing concepts  
**Estimated Duration:** 4-5 hours

#### Stage Sequence

**Stage 1: Foundation** (Required)
- [01 Wallet Basics](../scenarios/01_wallet_basics.md) - Wallet for AI payments
- [02 Transaction Sending](../scenarios/02_transaction_sending.md) - Pay for compute resources

**Stage 3: AI Operations** (Required)
- [07 AI Job Submission](../scenarios/07_ai_job_submission.md) - Submit AI compute jobs
- [22 AI Training Agent](../scenarios/22_ai_training_agent.md) - AI training workflows
- [37 Distributed AI Training](../scenarios/37_distributed_ai_training.md) - Distributed training

**Stage 4: Marketplace Economics** (Required)
- [08 Marketplace Bidding](../scenarios/08_marketplace_bidding.md) - Acquire GPU resources
- [21 Compute Provider Agent](../scenarios/21_compute_provider_agent.md) - Provide compute resources

**Stage 8: Advanced Agent Specialization** (Recommended)
- [32 AI Power Advertiser](../scenarios/32_ai_power_advertiser.md) - AI service advertising
- [40 Enterprise AI Agent](../scenarios/40_enterprise_ai_agent.md) - Enterprise AI operations

#### Key Learning Outcomes
- Submit and manage AI compute jobs
- Acquire GPU resources from marketplace
- Implement distributed AI training
- Monetize AI services

#### Assessment Criteria
- Successfully submit an AI job
- Complete a distributed training workflow
- Deploy an AI service to the marketplace

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### Path 3: Network Administrator

**Target Audience:** Users responsible for deploying, maintaining, and monitoring AITBC blockchain nodes  
**Prerequisites:** Linux system administration, networking, blockchain concepts  
**Estimated Duration:** 5-6 hours

#### Stage Sequence

**Stage 1: Foundation** (Required)
- [03 Genesis Deployment](../scenarios/03_genesis_deployment.md) - Deploy blockchain networks
- [05 Island Creation](../scenarios/05_island_creation.md) - Create network islands

**Stage 2: Operations Mastery** (Required)
- [13 Mining Setup](../scenarios/13_mining_setup.md) - Configure mining operations
- [15 Blockchain Monitoring](../scenarios/15_blockchain_monitoring.md) - Monitor network health
- [18 Analytics Collection](../scenarios/18_analytics_collection.md) - Collect network metrics

**Stage 5: Expert Operations** (Required)
- [16 Agent Registration](../scenarios/16_agent_registration.md) - Manage agent registration
- [19 Security Setup](../scenarios/19_security_setup.md) - Configure security
- [28 Monitoring Agent](../scenarios/28_monitoring_agent.md) - Automated monitoring

**Stage 7: Cross-Node Training** (Required)
- [20 Cross Chain Transfer](../scenarios/20_cross_chain_transfer.md) - Cross-chain operations
- [26 Staking Validator Agent](../scenarios/26_staking_validator_agent.md) - Validator operations
- [33 Multi Chain Validator](../scenarios/33_multi_chain_validator.md) - Multi-chain validation

**Stage 10: Failure Recovery** (Required)
- Error handling strategies
- Recovery procedures
- Fault tolerance mechanisms

#### Key Learning Outcomes
- Deploy and maintain blockchain nodes
- Monitor network health and performance
- Configure security and access controls
- Handle network failures and recoveries

#### Assessment Criteria
- Successfully deploy a blockchain node
- Configure monitoring and alerts
- Handle a network partition recovery

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### Path 4: Developer

**Target Audience:** Developers building applications on the AITBC platform, creating agents, or integrating with the blockchain  
**Prerequisites:** Python 3.13+, REST API concepts, smart contract basics  
**Estimated Duration**: 6-8 hours

#### Stage Sequence

**Stage 1: Foundation** (Required)
- [01 Wallet Basics](../scenarios/01_wallet_basics.md) - Wallet integration
- [02 Transaction Sending](../scenarios/02_transaction_sending.md) - Transaction API
- [04 Messaging Basics](../scenarios/04_messaging_basics.md) - Agent communication

**Stage 2: Operations Mastery** (Required)
- [10 Plugin Development](../scenarios/10_plugin_development.md) - Plugin architecture
- [11 IPFS Storage](../scenarios/11_ipfs_storage.md) - Decentralized storage
- [12 Database Operations](../scenarios/12_database_operations.md) - Database services

**Stage 3: AI Operations** (Recommended)
- [07 AI Job Submission](../scenarios/07_ai_job_submission.md) - AI service integration
- [22 AI Training Agent](../scenarios/22_ai_training_agent.md) - AI agent development

**Stage 6: Agent Identity SDK** (Required)
- [16 Agent Registration](../scenarios/16_agent_registration.md) - Agent SDK usage
- [24 Swarm Coordinator](../scenarios/24_swarm_coordinator.md) - Multi-agent coordination

**Stage 8: Advanced Agent Specialization** (Recommended)
- [41 Bounty System](../scenarios/41_bounty_system.md) - Bounty integration
- [42 Portfolio Management](../scenarios/42_portfolio_management.md) - Financial features
- [43 Knowledge Graph Market](../scenarios/43_knowledge_graph_market.md) - Knowledge integration

**Stage 9: Multi-Chain Architecture** (Optional)
- [47 Cross Chain Atomic Swap](../scenarios/47_cross_chain_atomic_swap.md) - Cross-chain contracts
- [45 Zero Knowledge Proofs](../scenarios/45_zero_knowledge_proofs.md) - ZK integration

#### Key Learning Outcomes
- Integrate AITBC wallets into applications
- Develop custom plugins and agents
- Use Agent SDK for identity and communication
- Implement cross-chain operations

#### Assessment Criteria
- Build a custom plugin
- Create and register an agent
- Integrate wallet operations into an application
- Implement a cross-chain operation

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## Cross-Path Recommendations

### Shared Foundation
All paths should complete **Stage 1: Foundation** scenarios to establish baseline knowledge:
- Wallet operations are prerequisites for all advanced operations
- Transaction sending is required for marketplace participation
- Understanding blockchain basics is essential for all roles

### Progressive Complexity
Each path follows a progression from:
- **Beginner** (Stages 1-3): Basic operations and concepts
- **Intermediate** (Stages 4-6): Marketplace operations and agent identity
- **Advanced** (Stages 7-9): Multi-node, specialized, and multi-chain operations
- **Expert** (Stages 10-11): Failure recovery and advanced communication

### Customization
Users can customize their learning path by:
- Skipping scenarios not relevant to their role
- Adding scenarios from other paths for cross-functional knowledge
- Revisiting stages for reinforcement and deeper understanding

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## Assessment and Certification

### Completion Criteria
Each learning path is considered complete when:
1. All required scenarios are completed
2. Key learning outcomes are demonstrated
3. Assessment criteria are met
4. Practical exercises are successfully executed

### Certification
Upon completion of a learning path, users should:
1. Document their learning journey
2. Provide examples of completed work
3. Demonstrate practical application of skills
4. Receive feedback from peers or mentors

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## Additional Resources

- [Agent Training Documentation](./README.md) - Full training curriculum
- [Scenarios Documentation](../scenarios/README.md) - All available scenarios
- [Agent SDK Documentation](../agent-sdk/README.md) - Developer resources
- [Master Glossary](../GLOSSARY.md) - Terminology reference

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**Related Documentation:**
- [HERMES_LEARNING_PROMPT.md](./HERMES_LEARNING_PROMPT.md) - AI agent learning instructions
- [TRAINING_SCHEMA.json](./training_schema.json) - Training stage definitions