Chatbots for Developers Training Course

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

Upon completing this training, participants will be able to:

• Automate complex workflows using Kubiya AI.
• Customise AI responses and actions.
• Scale DevOps operations with Kubiya AI.
• Troubleshoot and optimise 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 Australia (online or onsite) is designed for advanced-level Conversational AI developers seeking practical experience with the sophisticated skills required to develop, manage, and optimise complex conversational AI projects.

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

• Master advanced design and development principles for conversational AI.
• Implement resilient 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 Australia (online or onsite) is designed for advanced-level Conversational AI developers seeking practical experience with the sophisticated skills required to develop, manage, and optimise complex conversational AI projects.

By the conclusion 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.
• Optimise and manage AI projects effectively.

This instructor-led, live training in Australia (online or onsite) targets beginner-level DevOps practitioners and IT managers keen on exploring Kubiya AI's capabilities and integrating it into their current tooling stack.

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

• Grasp the features and advantages offered by Kubiya AI.
• Install and configure Kubiya AI within their specific environment.
• Deploy fundamental use cases for Kubiya AI within DevOps contexts.
• Connect Kubiya AI with existing DevOps tools.

This instructor-led, live training in Australia (online or onsite) is designed for intermediate-level cloud engineers and operations managers who aim to enhance 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.
• Optimise cloud costs using AI-powered analytics.
• Enhance cloud security with AI-driven monitoring.

This instructor-led, live training in Australia (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 Australia (online or onsite) is designed for advanced-level DevOps teams and IT architects who wish to utilise Kubiya AI to automate and optimize enterprise-level DevOps operations.

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

• Adapt Kubiya AI for specific enterprise DevOps environments.
• Connect Kubiya AI with the CI/CD tools prevalent in enterprise DevOps.
• Elevate DevOps automation through AI-driven workflows.
• Uphold security and compliance standards within AI-driven DevOps processes.

Le Chat Enterprise offers a private ChatOps solution that delivers secure, customisable, and governed conversational AI capabilities for organisations, including support for 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 want 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.
• Ample 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 Australia (online or onsite) is tailored for advanced marketing professionals seeking to master ManyChat automation for sophisticated marketing campaigns and audience engagement.

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

• Design advanced automation workflows using ManyChat.
• Optimise multi-channel campaigns across Messenger, Instagram, and WhatsApp.
• Implement A/B testing for chatbot interactions.
• Leverage advanced audience segmentation for personalised marketing.

This instructor-led, live training in Australia (online or onsite) targets 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 Australia (online or onsite) is tailored for beginner-level marketing professionals who want to build basic chatbots and automate customer engagement using ManyChat.

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

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

Mistral AI provides an open AI platform that empowers teams to construct and integrate conversational assistants into both enterprise and customer-facing workflows.

This instructor-led live training, available either online or onsite, is designed for beginner to intermediate product managers, full-stack developers, and integration engineers who aim to design, integrate, and productise conversational assistants using Mistral connectors and integrations.

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

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

Course Format

• Interactive lecture and discussion.
• Hands-on integration exercises.
• Live-lab development of conversational assistants.

Course Customization Options

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

This instructor-led, live training in Australia (online or onsite) is aimed at researchers and developers who wish to install, configure, customise, 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.