d1ffb4dc02
- Add Wallet Operator path (3-4 hours) - Add AI Specialist path (4-5 hours) - Add Network Administrator path (5-6 hours) - Add Developer path (6-8 hours) - Include stage sequences, learning outcomes, and assessment criteria - Add cross-path recommendations and customization options - Version 1.0 with last updated date
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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
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 - Create and manage wallets
- 02 Transaction Sending - Send AIT tokens
- 06 Basic Trading - Basic trading operations
Stage 2: Operations Mastery (Recommended)
- 10 Plugin Development - Extend wallet functionality
- 13 Mining Setup - Earn tokens through mining
- 14 Staking Basics - Earn passive rewards
Stage 4: Marketplace Economics (Optional)
- 08 Marketplace Bidding - Acquire resources
- 09 GPU Listing - 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
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 - Wallet for AI payments
- 02 Transaction Sending - Pay for compute resources
Stage 3: AI Operations (Required)
- 07 AI Job Submission - Submit AI compute jobs
- 22 AI Training Agent - AI training workflows
- 37 Distributed AI Training - Distributed training
Stage 4: Marketplace Economics (Required)
- 08 Marketplace Bidding - Acquire GPU resources
- 21 Compute Provider Agent - Provide compute resources
Stage 8: Advanced Agent Specialization (Recommended)
- 32 AI Power Advertiser - AI service advertising
- 40 Enterprise AI Agent - 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
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 - Deploy blockchain networks
- 05 Island Creation - Create network islands
Stage 2: Operations Mastery (Required)
- 13 Mining Setup - Configure mining operations
- 15 Blockchain Monitoring - Monitor network health
- 18 Analytics Collection - Collect network metrics
Stage 5: Expert Operations (Required)
- 16 Agent Registration - Manage agent registration
- 19 Security Setup - Configure security
- 28 Monitoring Agent - Automated monitoring
Stage 7: Cross-Node Training (Required)
- 20 Cross Chain Transfer - Cross-chain operations
- 26 Staking Validator Agent - Validator operations
- 33 Multi Chain Validator - 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
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 - Wallet integration
- 02 Transaction Sending - Transaction API
- 04 Messaging Basics - Agent communication
Stage 2: Operations Mastery (Required)
- 10 Plugin Development - Plugin architecture
- 11 IPFS Storage - Decentralized storage
- 12 Database Operations - Database services
Stage 3: AI Operations (Recommended)
- 07 AI Job Submission - AI service integration
- 22 AI Training Agent - AI agent development
Stage 6: Agent Identity SDK (Required)
- 16 Agent Registration - Agent SDK usage
- 24 Swarm Coordinator - Multi-agent coordination
Stage 8: Advanced Agent Specialization (Recommended)
- 41 Bounty System - Bounty integration
- 42 Portfolio Management - Financial features
- 43 Knowledge Graph Market - Knowledge integration
Stage 9: Multi-Chain Architecture (Optional)
- 47 Cross Chain Atomic Swap - Cross-chain contracts
- 45 Zero Knowledge Proofs - 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
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
Assessment and Certification
Completion Criteria
Each learning path is considered complete when:
- All required scenarios are completed
- Key learning outcomes are demonstrated
- Assessment criteria are met
- Practical exercises are successfully executed
Certification
Upon completion of a learning path, users should:
- Document their learning journey
- Provide examples of completed work
- Demonstrate practical application of skills
- Receive feedback from peers or mentors
Additional Resources
- Agent Training Documentation - Full training curriculum
- Scenarios Documentation - All available scenarios
- Agent SDK Documentation - Developer resources
- Master Glossary - Terminology reference
Related Documentation:
- HERMES_LEARNING_PROMPT.md - AI agent learning instructions
- TRAINING_SCHEMA.json - Training stage definitions