🤖 AI Agent Orchestration (Training & Content)

1. Service Overview & Scope

• Interactive Workshops & Masterclasses:
  • Multi-agent state graph design, dynamic subagent execution, and tool routing workshops.
  • Tool-calling frameworks (MCP servers, REST APIs, local CLI execution) live masterclasses.
  • Persistent memory architectures and context compression tutorials.
• Target Frameworks & Agent Platforms:
  • LangGraph, AutoGen, CrewAI, Microsoft Agent Framework, and LlamaIndex Workflows.
  • Frontier agentic platforms (OpenClaw, Hermes Agent, Google Antigravity SDK).

2. Standard Architecture & Tools

• Agent Topology & Control Flow:
  • Hierarchical supervisor-worker topologies and peer-to-peer agent networks.
  • Deterministic agent swarms, retry policies, and fallback model routing.
• Execution Runtime & Verification:
  • 100% verified Python, Golang, and Rust agent code with executable Jupyter notebook labs.

3. Deliverable Examples

1. Multi-Agent Training Workshops & Course Materials:
   • Executable Python/LangGraph notebook modules, custom tool definitions, and trace log analysis.
2. Agent Evaluation & Benchmarking Guides:
   • Benchmark test guides measuring tool call precision, token efficiency, and completion rate.

4. Guarantees & Commitments

• 100% Training Notebook Runtime Verification: Every exercise and tool loop is tested in live runtime before delivery.
• 30-Day Post-Training Q&A Support: Included email follow-up for attendee questions.

5. Investment & Pricing Quote

1. Base Investment Range: $400 – $800 USD (Standard Scope).
2. Purchasing Power Parity (PPP) Tier Adjustments:
   • Tier 1 (Developed Nations - USA, EU, UK): 100% Base Price ($400 – $800 USD).
   • Tier 2 (Developing Nations - India, Brazil, SEA): 75% Parity Price ($300 – $600 USD).
   • Tier 3 (Least Developed Nations - Haiti, Sub-Saharan Africa): 50% Parity Price ($200 – $400 USD).
3. Payment Schedule:
   • 50% upfront milestone initialization / 50% final verified delivery.