Productizing Conversational Assistants with Mistral Connectors & Integrations Training Course

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.

Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral.

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

• Set up and configure Devstral for coding agent development.
• Design agentic workflows for codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

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 Italy (online or onsite) is aimed at web developers who wish to use Microsoft Bot Framework Composer to design, build, and test conversational AI applications.

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

• Set up the necessary development environment to start developing bot projects.
• Create a bot and integrate additional functionalities and elements with Composer.
• Enhance bot features with Composer API and customize interactions using CLI tools.
• Test, debug, and validate bots, and then deploy them to Azure.

Devstral and Mistral models are open-source AI technologies designed for flexible deployment, fine-tuning, and scalable integration.

This instructor-led, live training (available online or onsite) targets intermediate to advanced ML engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern Mistral and Devstral models within production environments.

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

• Set up and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques for domain-specific performance.
• Implement versioning, monitoring, and lifecycle governance.
• Ensure security, compliance, and responsible usage of open-source models.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises in self-hosting and fine-tuning.
• Live-lab implementation of governance and monitoring pipelines.

Course Customization Options

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

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) 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.

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.

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.

Mistral is a family of high-performance large language models specifically optimized for cost-effective, large-scale production deployment.

This instructor-led training session, available either online or onsite, is designed for advanced infrastructure engineers, cloud architects, and MLOps leaders who aim to design, deploy, and optimize architectures based on Mistral to achieve maximum throughput while minimizing costs.

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

• Implementing scalable deployment patterns for Mistral Medium 3.
• Applying batching, quantization, and efficient serving techniques.
• Optimizing inference costs without compromising performance.
• Designing production-ready serving topologies tailored for enterprise workloads.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Customization Options

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

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 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 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.

Mistral Medium 3 is a high-performance, multimodal large language model engineered for robust, production-grade deployment across enterprise environments.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced AI/ML engineers, platform architects, and MLOps professionals seeking to deploy, optimize, and secure Mistral Medium 3 for complex enterprise use cases.

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

• Deploy Mistral Medium 3 via API services and self-hosted solutions.
• Optimize inference performance while managing costs.
• Implement diverse multimodal use cases leveraging Mistral Medium 3.
• Apply security and compliance best practices tailored for enterprise settings.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a tailored training experience for this course, please contact us to arrange details.

Mistral AI is an open, enterprise-ready AI platform designed to support secure, compliant, and responsible AI deployments.

This instructor-led training, available both online and onsite, targets intermediate-level compliance leads, security architects, and legal or operations stakeholders who aim to implement responsible AI practices using Mistral. The course focuses on leveraging privacy, data residency, and enterprise control mechanisms.

Upon completion, participants will be able to:

• Deploy privacy-preserving techniques within Mistral environments.
• Implement data residency strategies to satisfy regulatory obligations.
• Establish enterprise-grade controls, including RBAC, SSO, and audit logging.
• Assess vendor and deployment options to ensure alignment with compliance standards.

Course Format

• Interactive lectures and discussions.
• Case studies and exercises focused on compliance.
• Hands-on implementation of enterprise AI controls.

Customization Options

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