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期間 7 時間
コース概要
- Day 1: Handing over tasks in the browser
- How browser agents work
- Reading a page, planning, clicking, typing and checking
- Difference from research in a chat
- Where they are reliable today and where they are not
- Exercise: Observe an agent on a simple task and note down every step.
- The tools compared
- ChatGPT Agent and the Atlas browser
- Claude in Chrome as an extension
- Perplexity Comet
- Availability, cost and data protection
- Exercise: Solve the same research task with two tools and compare them.
- Research and comparisons
- Comparing vendors, prices and terms across several pages
- Results as a table with links
- Cross-checking on the original pages
- Exercise: Have a vendor comparison with five criteria created and verify two values.
- Forms and web applications
- Filling in forms with existing data
- Transferring data from web applications into tables
- Stopping before submitting, paying or deleting
- Exercise: Have a test form filled in with data from a table and review it before submitting.
- Security
- Hidden instructions on web pages (prompt injection)
- Logged-in accounts, passwords and payment data
- Separate browser profiles and approvals
- Exercise: Open a prepared test page with a hidden instruction and evaluate the agent's behavior.
- Rules and usage plan
- Which tasks are allowed
- Who reviews and approves
- Planning recurring tasks
- Exercise: Write a page of rules and three use cases for the own team.
- Outcome: Each participant has handed over two tasks to a browser agent, verified the results and defined rules for use in the team.
- How browser agents work
要求
- Laptop with Chrome, an account for at least one of the tools (ChatGPT, Claude or Perplexity), and a test account without sensitive data for the exercises.
- No programming skills required.
Audience
- Specialist users, assistants and researchers who want to hand over recurring work on web pages and in web applications to AI agents.
お客様の声 (3)
背景に関する包括性;プロンプトの作成方法。
Olaf Kannt - Helios Klinikum Krefeld
コース - Generative AI and Prompt Engineering in Healthcare
機械翻訳
このトレーニングから身につけられる、実践的なヒントと推奨プロンプト
Lee Mei Lin - ST Engineering IHQ Pte Ltd
コース - InVideo AI: Creating Engaging Short-Form Videos
機械翻訳
適切かつ効果的なプロンプトの活用
Marses Pacaldo
コース - Generative AI and Prompt Engineering for Corporate Professionals
機械翻訳
