Online Conversational AI Training in Italy

Mistral AI is an open-source artificial intelligence platform that empowers teams to develop and integrate conversational assistants into both enterprise internal operations and customer-facing workflows.

This instructor-led live training, available online or onsite, targets beginner to intermediate-level product managers, full-stack developers, and integration engineers looking to design, integrate, and productize 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) to ensure grounded responses.
• Design user experience patterns for both internal and external chat assistants.
• Deploy assistants into product workflows to address real-world use cases.

Format of the Course

• Interactive lectures and discussions.
• Hands-on integration exercises.
• Live-lab development of conversational assistants.

Course Customization Options

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

This instructor-led, live training in Italy (online or in-person) is designed for advanced-level DevOps teams and IT architects who want to utilize Kubiya AI to automate and optimize enterprise DevOps operations.

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

• Adapt Kubiya AI for specific enterprise DevOps contexts.
• Connect Kubiya AI with CI/CD tools within enterprise DevOps environments.
• Boost DevOps automation through AI-powered workflows.
• Maintain security and compliance standards in AI-driven DevOps processes.

This instructor-led, live training in Italy (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 conclusion 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 Italy (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.

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

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

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

• Setting up and configuring Le Chat Enterprise for secure deployments.
• Enabling RBAC, SSO, and compliance-driven controls.
• Integrating Le Chat with enterprise applications and data stores.
• Designing and implementing governance and admin playbooks for ChatOps.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Italy (online or onsite) is designed for advanced-level professionals who want 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 Italy (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.

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 Italy (online or onsite) is designed for advanced-level Conversational AI developers seeking practical experience with the high-level skills required to develop, manage, and optimize sophisticated conversational AI projects.

Upon completion 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 Italy (online or onsite) is targeted at advanced marketing professionals aiming to master ManyChat automation for complex marketing campaigns and audience engagement.

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

• Design advanced automation workflows within ManyChat.
• Optimize multi-channel campaigns across Messenger, Instagram, and WhatsApp.
• Implement A/B testing to refine chatbot interactions.
• Leverage advanced audience segmentation for personalized marketing strategies.

This instructor-led, live training in Italy (online or onsite) is designed for advanced-level Conversational AI developers seeking practical experience with the sophisticated skills required to develop, manage, and optimize complex 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.
• 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 Italy (online or on-site) is designed for entry-level DevOps professionals and IT managers who want 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 Italy (online or onsite) targets 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 is designed for anyone seeking to ensure their organization is compliant, minimizes risks, and empowers its workforce to leverage AI safely and ethically.

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

• Understand how AI systems function and their potential applications.
• Identify risks and limitations associated with AI systems.
• Adhere to relevant legal and ethical requirements.