Training
Prompt Engineering Masterclass
Prompt Engineering Masterclass 2026 is an advanced training for those who already use AI and want to reach the next level. We cover reasoning-model prompting (o3, Claude extended thinking, Gemini Deep Think), agent instructions (ChatGPT Agent, Claude Computer Use), MCP integration and building eval loops.
Tools
GPT-5
o3
Claude Opus 4
Claude Code
ChatGPT Agent
Claude Computer Use
MCP
Custom GPTs
Who it's for
This training fits if…
- Professionals already using AI
- Team AI champions
- Content creators wanting to raise quality
- Anyone wanting 2× more value from AI
Outcomes
What you take away.
- Master reasoning-model prompting (when to prompt less, not more)
- Write agent instructions (Claude Computer Use, ChatGPT Agent)
- Connect AI to your data sources via MCP
- Build eval loops that measure prompt quality
- Create Custom GPTs and Claude Projects for your team
- Take home 50+ prompt templates and 10+ agent specs
Curriculum
Training modules.
01
Model selection and reasoning
- · GPT-5 vs o3 vs Claude Sonnet 4.6 vs Opus 4 — when to use each
- · Reasoning models — fewer instructions, more context
- · Extended thinking and Deep Think
- · Chaining models
02
Agent instructions
- · System prompts for agents
- · ChatGPT Agent — driving the browser agent
- · Claude Computer Use — desktop agent
- · Long-running tasks and control loops
03
MCP — connecting data to AI
- · MCP protocol fundamentals
- · Using existing MCP servers
- · Building your own MCP server (Python / Node)
- · Security and permissions in MCP
04
Building systems
- · Creating and sharing Custom GPTs
- · Claude Projects — shared team context
- · Prompt version control (Git, Dust, Promptlayer)
- · Eval loops: how to measure prompt quality
FAQ
Frequently asked questions.
Related
Other trainings.
Ready to book?
Let's first map your team's needs — the first consultation is free.