Build, deploy and run production Claude solutions — from client discovery to executive demo.
Duration: 20 Days / 160 Hours | Level: Intermediate to Advanced | Format: VILT or Classroom | Hands-on: ~70% labs | Batch: 15–25
Overview
This programme trains engineers to do what a Claude Forward Deployed Engineer does: sit with a client, find the right problem, and ship a secure, evaluated Claude solution into production. Participants learn the Claude API, Claude Code, Agent Skills, MCP servers and the Claude Agent SDK, then deploy on Amazon Bedrock, Google Cloud and Microsoft Foundry. Alongside the build work, they learn the BRIDGE Method™ for discovery, solution storytelling, adoption and value realisation.
Stalwart Learning is a Registered Partner in the Anthropic Claude Partner Network.
This is our Forward Deployed Engineer training focused specifically on the Claude stack (Claude API, MCP, Agent SDK, Agent Skills). For the complete 25-day programme see the FDE Academy; for the consulting/client-facing skills alone see our FDE Consulting Skills training.
Software engineers and full-stack developers moving into applied AI roles
Solution architects and pre-sales or solutions engineers designing Claude solutions for clients
AI/ML engineers taking LLM prototypes into production
Consultants and delivery leads at IT services firms, GCCs and system integrators building a Claude practice
Technical founders and product engineers building on Claude
Prerequisites
Required: 2+ years of hands-on software development; working Python (TypeScript/JavaScript a plus); REST APIs, JSON, Git and the command line; basic knowledge of AWS, Azure or Google Cloud; basic SQL.
Recommended: prior use of any LLM via API or chat; exposure to Docker and CI/CD; some client-facing experience.
Learning Objectives
Participants will be able to:
Run a client engagement end-to-end using the BRIDGE Method™.
Select the right Claude model tier and balance quality, latency and cost.
Build production apps on the Claude API with streaming, tool use, structured outputs, prompt caching and batch processing.
Engineer, version and test prompts for reliable enterprise behaviour.
Design RAG systems on Claude with grounded, cited answers.
Build, secure and deploy MCP servers that connect Claude to enterprise systems.
Author Agent Skills and automate workflows with Claude Code, sub-agents and hooks.
Build multi-step and multi-agent systems with the Claude Agent SDK.
Design evaluation suites that gate releases.
Defend against prompt injection, data leakage and excessive tool permissions.
Deploy on Amazon Bedrock, Google Cloud and Microsoft Foundry with proper identity, networking and data-residency controls.
Operate Claude in production with observability, cost control and model-upgrade practices.
Present ROI to executives and hand over with a client-owned runbook.
Curriculum
Phase 1 — Claude Platform Foundations (Days 1–4)
Day 1
The FDE role and operating model; the Claude ecosystem; intro to the BRIDGE Method™; capstone kickoff
Day 2
Claude API deep dive — Messages API, system prompts, streaming, tokens, context windows, model tiers, rate limits, cost estimation
Day 3
Production prompt engineering — XML structuring, few-shot, extended thinking, long context, templates and versioning
Day 4
Tool use, structured outputs, citations, vision and PDF inputs, prompt caching, batch processing
Phase 2 — Building with Claude (Days 5–9)
Day 5
RAG on Claude — chunking, embeddings, hybrid search, reranking, contextual retrieval, cited answers
Day 6
Model Context Protocol (MCP) — architecture; building MCP servers in Python and TypeScript
Client simulation — executive demo, ROI readout, handoff, final assessment
Capstone
Each participant or team takes one real enterprise problem from discovery to a deployed, evaluated Claude solution and presents it to a simulated client leadership panel. Examples: support agent over ticketing via MCP; contract review assistant with citations and human approval; CRM-connected sales-ops agent; engineering rollout with Claude Code and Skills.
What participants leave with
Use-Case Scoping Sheet, Reframe Canvas, Claude Solution Architecture, deployed MCP server and Agent Skill pack, Eval Charter and eval suite, AI Security Threat Model, LLMOps deployment pipeline, ROI model and Handoff Runbook.
Tools covered
Claude API, Claude Agent SDK, Claude Code, Agent Skills, MCP (Python/TypeScript), embeddings and vector search, Amazon Bedrock, Google Cloud, Microsoft Foundry, Docker, Git, CI/CD, eval and tracing tools.
An engineer who works directly with a client to find a high-value problem and ship an AI solution into production, owning both the technical build and the business outcome.
How is this different from Stalwart's Forward Deployed Engineer Academy?
The Academy is a 25-day, multi-platform programme. This course is a 20-day track built entirely on the Claude stack.
Is this an official Anthropic course?
No. It is designed and delivered by Stalwart Learning, a Registered Partner in the Anthropic Claude Partner Network.
Does it prepare participants for Claude certifications?
It covers much of the hands-on ground those exams test. Dedicated certification-prep courses are available separately.
Can the duration be customised?
Yes. Teams with strong Claude experience can take a compressed version, and the BRIDGE customer-engagement phase can run as a standalone module.
Is it available onsite?
Yes, as classroom training across India, or as live virtual training (VILT) for distributed teams.