Chatbots for Developers Training Course

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

Upon completion of this training, participants will be capable of:

• Automating complex workflows using Kubiya AI.
• Customizing AI responses and actions.
• Scaling DevOps operations with Kubiya AI.
• Troubleshooting and optimizing Kubiya AI implementations.
• Understanding and implementing security and compliance measures.
• Integrating Kubiya AI with advanced CI/CD tools and additional cloud services.
• Setting up performance monitoring and creating custom reports.

This instructor-led, live training in South Korea (online or onsite) is designed for advanced-level Conversational AI developers seeking to gain practical experience with the advanced skills necessary for developing, managing, and optimizing sophisticated conversational AI projects.

Upon completion of this training, participants will be able to:

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

This instructor-led, live training in South Korea (online or onsite) is designed for advanced-level Conversational AI developers who seek to gain practical experience with the sophisticated skills required to develop, manage, and optimize complex conversational AI projects.

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

• Design and develop advanced conversational AI solutions.
• Implement adaptive learning for conversation models.
• Integrate AI models with various enterprise-level systems.
• Optimize and manage AI projects effectively.

This instructor-led, live training in South Korea (online or onsite) is tailored for beginner-level DevOps professionals and IT managers looking to explore the capabilities of Kubiya AI and integrate it with their current tools.

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

• Comprehend the features and benefits of Kubiya AI.
• Install and configure Kubiya AI within their environment.
• Execute basic use cases for Kubiya AI in DevOps.
• Integrate Kubiya AI with existing DevOps tools.

This instructor-led, live training in South Korea (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 South Korea (online or onsite) is intended for intermediate-level DevOps engineers and CI/CD managers who aim to enhance their pipelines with AI automation via Kubiya AI.

By the conclusion 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 South Korea (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.

Le Chat Enterprise offers a private ChatOps solution that delivers secure, customizable, and governed conversational AI capabilities for organizations, supporting RBAC, SSO, connectors, and enterprise app integrations.

This instructor-led live training (available online or onsite) is designed for intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish to deploy, configure, and govern Le Chat Enterprise in enterprise environments.

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

• Set up and configure Le Chat Enterprise for secure deployments.
• Enable RBAC, SSO, and compliance-driven controls.
• Integrate Le Chat with enterprise applications and data stores.
• Design and implement governance and admin playbooks for ChatOps.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training in South Korea (online or onsite) is designed for advanced marketing professionals looking to master ManyChat automation for complex 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, accessible South Korea (online or onsite), is designed for advanced professionals eager to integrate ManyChat with AI tools. The objective is to build intelligent chatbots, elevate customer engagement, and automate key business processes.

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

• Connect ManyChat with AI models for more intelligent customer interactions.
• Engineer NLP-driven chatbot replies using ChatGPT.
• Streamline customer support and marketing workflows via AI automation.
• Assess chatbot effectiveness using data-backed insights.

This instructor-led live training in South Korea (online or onsite) is designed for beginner-level marketing professionals who aim 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.

Mistral AI serves as an open AI platform, empowering teams to develop and embed conversational assistants within enterprise and customer-facing workflows.

This instructor-led training, available in online or onsite formats, is designed for beginner to intermediate product managers, full-stack developers, and integration engineers. The course focuses on designing, integrating, and productizing conversational assistants using Mistral’s connectors and integrations.

Upon completion, participants will be able to:

• Integrate Mistral conversational models with enterprise and SaaS connectors.
• Implement retrieval-augmented generation (RAG) to ensure grounded responses.
• Design UX patterns for both internal and external chat assistants.
• Deploy assistants into product workflows to address real-world use cases.

Course Format

• Interactive lectures and discussions.
• Hands-on integration exercises.
• Live lab sessions for developing conversational assistants.

Course Customization Options

• For customized training requests, please contact us to make arrangements.

This instructor-led, live training in South Korea (online or onsite) is aimed at researchers and developers who wish to install, configure, customize, and manage the ParlAI platform to develop their AI models.

By the end of this training, participants will be able to share, train, and evaluate AI models to build and develop conversational solutions across existing chat services.