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Duration 14 hours
Course Outline
Foundations of Chatbot Development
- An overview of chatbot functionalities and real-world applications
- An introduction to Google AutoML in the context of chatbot creation
- Examining the core components that constitute a chatbot
Initiating Work with Google Cloud Platform and AutoML
- Establishing a Google Cloud Platform account
- Learning to navigate the Google Cloud Console interface
- Accessing Google AutoML and exploring its key features
Data Preparation for Chatbot Training
- Gathering and preprocessing data for training purposes
- Labeling data to define chatbot intents and entities
- Utilizing data visualization tools within the Google Cloud Platform
Training Custom Chatbot Models via AutoML
- Initiating a new AutoML project dedicated to chatbot development
- Uploading and importing training data into the AutoML environment
- Adjusting training configurations and parameters
Assessing and Refining Chatbot Models
- Analyzing performance metrics to evaluate chatbot efficacy
- Implementing iterative improvements based on evaluation outcomes
- Fine-tuning models to enhance accuracy and overall performance
Deploying and Integrating Chatbots
- Releasing chatbots across various platforms and channels
- Connecting chatbots to websites, messaging applications, and other user interfaces
- Testing interactions and user experience in practical, real-world settings
Monitoring and Optimizing Chatbot Performance
- Configuring logging and monitoring systems for deployed chatbots
- Reviewing usage statistics and user feedback to drive performance enhancements
- Applying continuous optimization strategies to ensure long-term success
Course Conclusion and Future Directions
Requirements
- A foundational understanding of artificial intelligence concepts
- Basic familiarity with the Google Cloud Platform (recommended, but not mandatory)
Target Audience
- Non-technical professionals
- Business stakeholders
- Technology enthusiasts
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