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Duration 7 hours
Course Outline
Introduction
- Overview of Langdock and its positioning relative to other artificial intelligence solutions
- Model selection, data management, and hosting architectures
Day-to-Day Operations
- Interactive communication, model configuration, and document analysis
- Processing and leveraging organizational records
- Practical exercise: Optimizing three standard administrative procedures
Assistant Development
- Defining operational instructions, knowledge bases, and system parameters
- Testing, validation, and iterative improvement of assistant capabilities
- Distributing assistants across team structures
- Hands-on lab: Designing an assistant tailored to a specific operational workflow
System Integrations and Knowledge Management
- Establishing connections with Microsoft 365, Google Workspace, and other enterprise systems
- Managing knowledge sources and ensuring content currency
- Hands-on lab: Configuring an assistant with access to shared team documentation
Workflow Automation
- Configuring triggers, processing steps, and output generation
- Common automation scenarios for administrative functions
- Hands-on lab: Automating a recurring administrative task
Administration and Deployment
- Role-based access control, permissions, and workspace management
- Governance policies, usage standards, and quality assurance protocols
- Training strategies and performance metrics
- Deployment roadmap for organizational implementation
Requirements
- Fundamental experience with artificial intelligence chat interfaces
- Proficiency with standard business applications and documentation
- No programming proficiency required
Target Audience
- Organizations implementing or evaluating Langdock as a comprehensive AI platform
- Department heads, AI advocates, and IT personnel
- Project teams focused on developing shared assistants for operational processes
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