Advanced Conversational AI - 2 days Training Course

This instructor-led, live training in China (online or onsite) is aimed at advanced-level developers, AI specialists, and tech professionals who wish to delve into advanced techniques for customizing AI chatbots for specific needs.

By the end of this training, participants will be able to:

• Develop advanced chatbot functionalities using custom code.
• Integrate chatbots with complex external APIs and services.
• Implement advanced natural language processing (NLP) techniques.
• Optimize chatbot performance and user interactions.
• Ensure security and privacy in chatbot applications.
• Deploy and scale chatbots for high-demand environments.

This instructor-led, live training in China (online or onsite) is aimed at advanced-level DevOps engineers and automation specialists who wish to deepen their understanding of Kubiya AI and leverage its full capabilities for large-scale operations.

By the end of this training, participants will be able to:

• Automate complex workflows using Kubiya AI.
• Customize AI responses and actions.
• Scale DevOps operations with Kubiya AI.
• Troubleshoot and optimize Kubiya AI implementations.
• Understand and implement security and compliance measures.
• Integrate Kubiya AI with advanced CI/CD tools and additional cloud services.
• Set up performance monitoring and create custom reports.

This instructor-led, live training in China (online or onsite) is aimed at beginner-level participants, including business professionals and tech enthusiasts, who wish to learn how to create and customize chatbots using user-friendly AI tools.

By the end of this training, participants will be able to:

• Understand the basics of chatbot technology.
• Navigate and utilize tools like Dialogflow and Microsoft Azure Bot Service.
• Design and customize chatbot conversations.
• Integrate chatbots with various platforms and services.
• Deploy chatbots for real-world applications.
• Monitor and improve chatbot performance.

This instructor-led, live training in China (online or onsite) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized chatbots for various applications.

By the end of this training, participants will be able to:

• Understand the fundamentals of chatbot development.
• Navigate the Google Cloud Platform and access AutoML.
• Prepare data for training chatbot models.
• Train and evaluate custom chatbot models using AutoML.
• Deploy and integrate chatbots into various platforms and channels.
• Monitor and optimize chatbot performance over time.

This instructor-led, live training in China (online or onsite) is aimed at advanced-level Conversational AI developers who wish to gain practical experience with advanced skills necessary for developing, managing, and optimizing sophisticated conversational AI projects.

By the end of this training, participants will be able to:

• Master advanced design and development principles for conversational AI.
• Implement robust conversational flows with adaptive learning.
• Integrate AI models with various enterprise-level systems.
• Ensure effective project management and lifecycle strategies for AI-driven projects.
• Evaluate and refine conversation models based on user feedback and data analysis.

This instructor-led, live training in China (online or onsite) is aimed at intermediate-level developers, data scientists, and tech enthusiasts who wish to gain hands-on experience in building and deploying custom chatbots using AI platforms.

By the end of this training, participants will be able to:

• Understand the fundamentals of chatbot development.
• Explore different AI platforms for chatbot creation.
• Design and implement custom chatbot solutions.
• Deploy chatbots to various channels and platforms.
• Analyze chatbot performance and user interaction.
• Integrate chatbots with existing systems and databases.

This instructor-led, live training in China (online or onsite) is aimed at beginner-level DevOps professionals and IT managers who wish to explore the capabilities of Kubiya AI and integrate it with their existing tools.

By the end of this training, participants will be able to:

• Understand the features and benefits of Kubiya AI.
• Set up and configure Kubiya AI in their environment.
• Implement basic use cases for Kubiya AI in DevOps.
• Integrate Kubiya AI with existing DevOps tools.

This instructor-led, live training in China (online or onsite) is aimed at intermediate-level cloud engineers and operations managers who wish to improve their cloud infrastructure management using Kubiya AI.

By the end of this training, participants will be able to:

• Integrate Kubiya AI into cloud infrastructure.
• Automate cloud resource provisioning and management.
• Optimize cloud costs using AI-powered analytics.
• Enhance cloud security with AI-driven monitoring.

This instructor-led, live training in China (online or onsite) is aimed at intermediate-level DevOps engineers and CI/CD managers who wish to enhance their pipelines with AI automation using Kubiya AI.

By the end of this training, participants will be able to:

• Understand the fundamentals of integrating AI into DevOps pipelines.
• Implement Kubiya AI within popular CI/CD tools such as Jenkins and GitLab CI.
• Automate CI/CD pipeline tasks with Kubiya AI.
• Monitor and manage CI/CD pipelines using AI for proactive problem detection.

This instructor-led, live training in China (online or onsite) is aimed at advanced-level DevOps teams and IT architects who wish to leverage Kubiya AI to automate and optimize enterprise-level DevOps operations.

By the end of this training, participants will be able to:

• Customize Kubiya AI for specific enterprise DevOps environments.
• Integrate Kubiya AI with CI/CD tools used in enterprise DevOps.
• Enhance DevOps automation with AI-driven workflows.
• Ensure security and compliance within AI-driven DevOps processes.

This live training in China covers Le Chat Enterprise, a private ChatOps solution for secure, governed conversational AI. Learners will deploy, configure, and integrate it with enterprise apps, enabling RBAC, SSO, and compliance-driven controls for scalable, secure AI workflows.

This instructor-led, live training in China (online or onsite) is aimed at advanced-level marketing professionals who wish to master ManyChat automation for sophisticated marketing campaigns and audience engagement.

By the end of this training, participants will be able to:

• Develop advanced automation workflows with ManyChat.
• Optimize multi-channel campaigns across Messenger, Instagram, and WhatsApp.
• Implement A/B testing for chatbot interactions.
• Utilize advanced audience segmentation for personalized marketing.

This instructor-led, live training in China (online or onsite) is aimed at advanced-level professionals who wish to integrate ManyChat with AI tools to build intelligent chatbots, enhance customer engagement, and automate business processes.

By the end of this training, participants will be able to:

• Integrate ManyChat with AI models for smarter customer interactions.
• Develop NLP-driven chatbot responses using ChatGPT.
• Automate customer support and marketing workflows with AI.
• Analyze chatbot performance using data-driven insights.

This instructor-led, live training in China (online or onsite) is aimed at beginner-level marketing professionals who wish to create basic chatbots and automate customer engagement using ManyChat.

By the end of this training, participants will be able to:

• Understand the fundamentals of ManyChat and chatbot automation.
• Set up and configure a ManyChat account connected to their business page.
• Create basic chatbots for lead generation and customer support.
• Automate simple marketing workflows to enhance customer engagement.

This instructor-led, live training in China (online or onsite) is aimed at intermediate-level UX designers, product managers, and customer service professionals who wish to optimize user interactions and satisfaction through the customization of chatbots.

By the end of this training, participants will be able to:

• Understand the principles of user-centered chatbot design.
• Customize chatbots to align with user needs and preferences.
• Implement best practices for enhancing user interaction.
• Utilize analytics to measure and improve chatbot performance.
• Integrate chatbots into existing customer service workflows.
• Ensure a consistent and engaging user experience across platforms.