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Duration 14 hours
Course Outline
- Day 1: Conversations, Assistants, and Knowledge Management
- Langdock Overview
- Exploring the interface, navigation paths, and configuration settings.
- Accessing models from Anthropic, OpenAI, Google, and Mistral through a unified interface.
- The strategic advantages of a centralized tool over individual licensing models.
- Practical Exercise: Resolve a typical office task using two different models and critically evaluate which yields superior results.
- Enhancing Productivity via Chat
- Generating text, creating summaries, and formatting tables.
- Directly processing and manipulating files within the chat environment.
- Developing reusable prompt templates for recurring operational tasks.
- Practical Exercise: Design a custom template for a frequent task and validate its effectiveness across two distinct scenarios.
- Knowledge Folders and Project Management
- Organizing folder structures, data sources, and various document types.
- Generating answers grounded in internal documents with precise source citations.
- Understanding limitations, including context window constraints and potential hallucinations.
- Practical Exercise: Assemble a knowledge folder with three documents and stress-test it with ten specific questions.
- Creating AI Assistants
- Defining instructions, attaching knowledge bases, selecting models, and setting conversation starters.
- Managing assistant sharing, permissions, and visibility across the team.
- Exploring application ideas such as generating quotation texts, report templates, and internal FAQs.
- Practical Exercise: Build and distribute an assistant tailored to a common request within your specific department.
- Day 1 Outcome: Each participant will possess a personalized prompt template, a structured knowledge folder, and a shared assistant configured for their specific functional area.
- Langdock Overview
- Day 2: Integrations, Workflows, and Operational Governance
- Data Integrations
- Connecting SharePoint, OneDrive, and Teams as primary data sources.
- Exploring additional integrations such as Confluence, Google Drive, or CRM systems.
- Verifying access controls and permission settings.
- Practical Exercise: Link an authorized file storage service and enable an assistant to retrieve data from it.
- Workflow Automation
- Transitioning from ad-hoc chat interactions to repeatable, automated workflows.
- Structuring processes using triggers, logic blocks, actions, and control mechanisms.
- Implementing human approval gates, termination conditions, and retry logic.
- Practical Exercise: Construct a workflow that categorizes incoming requests and automatically drafts a response.
- Data Protection and Governance
- Understanding data storage, encryption standards, and guarantees against model training on corporate data.
- Defining acceptable data uploads and prohibited content types.
- Managing roles, workspaces, and approval hierarchies.
- Practical Exercise: Draft a one-page usage policy tailored to your specific departmental needs.
- Tool Selection and Deployment Strategy
- Comparative analysis of Langdock, Claude, and Copilot.
- Mapping the journey from pilot projects to team-wide adoption and standard operation.
- Identifying top-tier use cases and formulating a 30-to-60-day implementation plan.
- Practical Exercise: Prioritize three high-impact use cases for your area and define immediate next steps.
- Day 2 Outcome: Each participant will have a functional workflow with approval logic, an integrated knowledge source, and a strategic roadmap for the next 30 to 60 days.
- Data Integrations
Requirements
- Access to a Langdock account or test environment, a laptop, and one or two anonymized sample documents relevant to daily operations.
- No prior programming experience is required.
Target Audience
- Departmental teams and key users in organizations that are currently using or planning to implement Langdock as their central AI platform.
Testimonials (1)
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