Claude Training

Master Anthropic's Claude - From Basics to Production

Most people use Claude like a slightly smarter Google search. A well-trained Claude user builds automations, writes better code in hours, analyzes 200-page documents in seconds, and builds agents that work while they sleep.

The gap between casual use and expert use is not raw intelligence - it's technique. This training closes that gap.

What You'll Master

Claude has capabilities most users never touch. These sessions cover the full stack - not just "write better prompts," but how to architect Claude into real workflows.

Prompt Engineering for Claude Specifically

Claude has its own idioms. XML tags for structured inputs, system prompt design that holds across conversation turns, multi-shot examples that actually transfer, and the key differences between Claude Haiku 4.5, Sonnet 4.6, and Opus 4.8 so you're not over-paying or under-powered.

• XML-structured prompts vs plain prose - when each wins
• System prompt architecture for consistent outputs
• Chain-of-thought and step-by-step reasoning patterns
• Role and persona assignment that sticks
• Temperature and sampling controls

Extended Thinking

Claude's extended thinking mode lets it reason through hard problems before answering. Most users don't know it exists. Expert users route complex analysis, multi-step planning, and edge-case logic through it automatically.

• When to enable extended thinking vs standard mode
• Budget tokens effectively for cost vs quality tradeoffs
• Interpreting and acting on thinking traces
• Patterns where extended thinking eliminates entire debugging loops

Tool Use & Function Calling

Claude becomes exponentially more powerful when it can call tools - search the web, query databases, run code, read files. This module covers both sides: building tools Claude can use, and writing prompts that make Claude use them correctly.

• Defining tool schemas Claude respects
• Parallel tool calls and multi-step tool chains
• Handling tool errors and partial results gracefully
• Security boundaries and what not to expose as a tool

Claude Code & Developer Workflows

Claude Code (the CLI) turns Claude into a pair programmer that can read your entire codebase, write tests, refactor across files, and handle multi-step tasks autonomously. If you write software for a living, this one session is worth more than any other.

• Claude Code installation, configuration, and CLAUDE.md setup
• Custom slash commands for your most repeated tasks
• Multi-file refactors without losing context
• Hooks and automation triggers
• Git integration and PR workflows

Building Agents with Claude

Agents are Claude instances that plan, act, observe results, and loop - not one-shot responses. This module covers the mental models and implementation patterns that make agents reliable rather than impressive demos.

• ReAct pattern and when to use it
• Memory strategies: in-context, external, summarization
• Evaluation loops and how to catch drift
• Human-in-the-loop checkpoints that don't kill the workflow
• Multi-agent coordination without chaos

Enterprise Integration

Claude runs on Anthropic's API, Amazon Bedrock, and Google Vertex. Each path has different compliance, latency, and pricing implications. This module covers deployment decisions and API patterns that don't leak keys or rack up unexpected costs.

• API vs Bedrock vs Vertex - the actual differences
• Prompt caching: how to cut token costs by 80%+ on repeat tasks
• Batch API for high-volume workloads
• Rate limits, retry logic, and graceful degradation
• PII handling and data residency considerations

Training Curriculum

A structured path from first prompt to production deployment.

Foundation (Sessions 1–2) Claude models and pricing, context windows and token counting, your first structured prompt, reading and interpreting Claude's outputs, the three things that make Claude different from GPT.

Core Skills (Sessions 3–5) Prompt engineering patterns, XML structure, system prompts, multi-turn conversations, handling long documents, summarization and extraction techniques.

Advanced Capabilities (Sessions 6–8) Extended thinking, tool use and function calling, code generation and review, working with Claude Code, debugging Claude's reasoning when outputs go sideways.

Production Patterns (Sessions 9–11) Agent design, memory and state management, evaluation and regression testing, API integration, prompt caching, cost monitoring dashboards.

Enterprise Track (Sessions 12–14) Bedrock and Vertex deployment, security and compliance, team rollout playbooks, building internal Claude tooling, measuring ROI.

Training Options

One-on-One Sessions Focused on your specific use case and existing workflows. These move fast because there's no curriculum to follow - just the problems you're actually solving. Sessions are 90 minutes. Most clients do a 6-session block.

Team Workshops Half-day or full-day workshops for teams of 4–20. We work through real examples from your industry, not generic demos. Teams leave with a prompt library and at least one working automation.

Enterprise Training Package Structured rollout for organizations. Includes needs assessment, custom curriculum, hands-on labs, a prompt template library, and follow-up office hours for 60 days. Designed for teams where Claude becomes infrastructure, not a toy.

Who This Is For

This training is for people who already sense Claude is more powerful than they're using it - but don't want to spend weeks reading documentation to close the gap.

• Developers who want to build faster and stop writing boilerplate by hand
• Business analysts and operators who spend hours on tasks Claude can draft in minutes
• Team leads rolling out AI tooling and responsible for making it stick
• Founders building products on top of Claude's API
• Consultants who bill for thinking - and want to think faster

Why Claude Specifically

There are generic AI training courses. This isn't one.

Claude has a specific architecture, specific strengths, and specific failure modes. Prompt patterns from ChatGPT tutorials don't always transfer. Extended thinking doesn't exist anywhere else. The Constitutional AI guardrails affect what you can and can't ask Claude to do - and knowing those boundaries stops you from fighting the model.

If your stack runs on Claude, train on Claude.

Frequently Asked Questions

Do I need a technical background? No. Training scales to your level. Operators and analysts work through workflow automation. Developers go deeper into API patterns and code generation. Both tracks produce real results.

How long until I see results? Most clients deploy their first working automation by session 3. The extended thinking and tool use modules are the biggest force multipliers - those tend to unlock after session 6.

Can the training cover our internal tools and data? Yes. Enterprise and one-on-one sessions are designed around your actual environment. We can cover connecting Claude to your databases, documents, and APIs.

What models are covered? Claude Haiku 4.5, Claude Sonnet 4.6, and Claude Opus 4.8 - with guidance on when to use which model and how to set up routing so you're not paying Opus prices for Haiku tasks.

Is this a recorded course or live sessions? Live sessions only. The model landscape changes fast enough that recorded courses are outdated before you finish them. Every session is current.