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Course Outline
Foundations of Chatbot Development
- Insights into chatbot utility and real-world applications
- Overview of Google AutoML’s role in building chatbots
- Deconstructing the essential elements of a chatbot
Initial Setup with Google Cloud Platform and AutoML
- Provisioning a Google Cloud Platform account
- Mastering navigation within the Google Cloud Console
- Exploring Google AutoML and its core functionalities
Readying Data for Chatbot Training
- Gathering and pre-processing training datasets
- Assigning labels to chatbot intents and entities
- Leveraging data visualization tools within Google Cloud Platform
Training Custom Chatbot Models via AutoML
- Initiating a new AutoML project for chatbot creation
- Importing and uploading training data into AutoML
- Adjusting training configurations and parameters
Assessing and Refining Chatbot Models
- Analyzing performance metrics for chatbots
- Refining models based on evaluation outcomes
- Optimizing chatbot models for enhanced precision and efficiency
Chatbot Deployment and System Integration
- Rolling out chatbots to various platforms and communication channels
- Integrating chatbots with web applications, messaging services, and other interfaces
- Conducting real-world scenario testing for user experience and interaction
Performance Monitoring and Optimization
- Establishing monitoring and logging frameworks for deployed chatbots
- Evaluating usage patterns and user feedback to enhance performance
- Applying continuous improvement strategies for long-term viability
Conclusions and Future Directions
Requirements
- Fundamental knowledge of AI concepts
- Aquaintance with Google Cloud Platform (suggested but not mandatory)
Target Audience
- Individuals without a development background
- Business decision-makers and professionals
- Technology enthusiasts
14 Hours
Testimonials (2)
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