Where teams start
Most Popular Anthropic Courses
Training Managers usually assign AI Prompt Engineering with ChatGPT, Gemini, and Claude to the whole team first, since it sets the data rules and privacy checklist everyone follows. Developers who already code then add AI Agentic Coding.
Prompt Engineering
AI is only as good as the prompts you give it. Learn how to engineer prompts the right way, and get better results from LLMs like ChatGPT, Gemini, and Claude. In this course for everyday AI users, you’ll learn prompt engineering best practices that turn AI from a guessing game into a reliable tool. Lay down guardrails, reuse AI prompt templates, and shape responses for tone, structure, and audience. Compare ChatGPT, Gemini, and Claude to discover what each model does best. By the end of this training, you’ll get more accurate outputs, and walk away with an AI toolkit you can start using on the job. Get accurate content, save time, and safely use AI in your natural flow of work.
Jonathan Barrios
AI Agentic Coding
This AI coding course shows you how to code effectively with agentic coding, using Cursor AI, Claude Code CLI, GitHub Copilot, Grok 4, and ChatGPT as reliable partners. Examine prompt engineering for writing code, debugging with Claude, Cursor AI coding workflows, and turning specs into working programs. If you’re serious about practical, safe, and effective coding using AI agents, this course gives you the tools to start making apps and automations that provide real value.
Jonathan Barrios
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Frequently asked questions about Anthropic training
Common questions IT directors ask when evaluating Anthropic training for their team.
Who on an IT team should a Training Manager assign to this Anthropic training?
AI Prompt Engineering with ChatGPT, Gemini, and Claude fits anyone who uses AI chat tools in daily work, technical or not. AI Agentic Coding: ChatGPT, Cursor, Claude, and Copilot is aimed at developers, automation engineers, and QA testers who already code; the instructor states it is not entry-level.
Is this Anthropic hub aligned to a certification exam?
No. Both live courses teach applied workplace practice rather than exam objectives: safe chat workspaces, structured and grounded prompting, and a repeatable workflow for AI-assisted development with Claude Code and related tools. The value for a Team Lead is a consistent, documented way the whole team uses Claude.
What order works best when rolling these courses out to a team?
Start everyone on AI Prompt Engineering so the team shares the same data rules, privacy checklist, and CRE (context, role, expectation) prompting method. Then move coders to AI Agentic Coding, where they apply the Plan-Act-Check framework with Claude Code CLI, Cursor, and GitHub Copilot in VS Code.
How does this training lower the risk of sensitive data reaching AI tools?
Learners classify organizational data with a green, yellow, and red framework, locate privacy settings in Claude, ChatGPT, and Gemini, and run a 60-second privacy checklist before each session. The agentic coding course also targets leaked keys and secrets, exposed PII, and unreviewed AI-generated code reaching production.
What practical skills will developers come away with?
Developers work with Claude Code CLI and GitHub Copilot in VS Code, use Cursor with repository context, and apply prompting for code debugging, generation, and documentation. The course also covers turning specifications into working code with AI, inside a safety-first workflow the whole team can follow.
How can an IT Director confirm the team completed this training?
Team reporting shows per-learner progress and completion, cohort and group views, and completion exports you can use as audit evidence for AI usage policies. It also shows IT Trainerbot usage, including questions per member, top topics, and the training the answers came from.