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Duration 7 hours
Course Outline
- Day 1: Delegation of workflows via browser agents
- Mechanics of browser agent operations
- Page analysis, action planning, interaction execution, and verification
- Distinctions from conversational research methodologies
- Current reliability benchmarks and operational limitations
- Practical exercise: Monitor an agent executing a basic workflow and document each procedural step.
- Comparative analysis of available tools
- ChatGPT Agent and the Atlas browser
- Claude integration within the Chrome ecosystem
- Perplexity Comet capabilities
- Evaluation of availability, cost structures, and data security protocols
- Practical exercise: Execute an identical research objective using two distinct platforms and analyze the variances.
- Research and comparative assessments
- Systematic comparison of vendors, pricing, and terms across multiple sources
- Generation of tabular results with source citations
- Verification of data accuracy against primary sources
- Practical exercise: Generate a vendor comparison matrix based on five criteria and validate two specific data points.
- Form processing and web application integration
- Population of forms using pre-existing datasets
- Extraction of data from web applications into structured tables
- Implementation of mandatory checkpoints prior to submission, payment, or deletion
- Practical exercise: Populate a test form with data from a table and conduct a pre-submission audit.
- Security considerations
- Mitigation of prompt injection via hidden instructions on web pages
- Management of authenticated sessions, credentials, and payment information
- Utilization of isolated browser profiles and approval workflows
- Practical exercise: Interact with a prepared test page containing hidden instructions and assess the agent’s response.
- Governance and usage protocols
- Definition of permitted task categories
- Establishment of review and approval hierarchies
- Planning for recurring automated tasks
- Practical exercise: Draft a one-page policy document and three specific use cases for internal teams.
- Outcome: Each participant will have delegated two tasks to a browser agent, verified the outcomes, and established team usage guidelines for government contexts.
- Mechanics of browser agent operations
Requirements
- Laptop equipped with Chrome, an active account for at least one supported tool (ChatGPT, Claude, or Perplexity), and a non-sensitive test account for exercises.
- Programming expertise is not required.
Target Audience
- Specialist staff, administrative assistants, and researchers seeking to delegate recurring web-based and application-centric tasks to AI agents for government operations.
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt