Le Chat Enterprise: Private ChatOps, Integrations & Admin Controls Training Course

This instructor-led live training Romania (online or onsite) is designed for advanced DevOps engineers and automation specialists who aim to deepen their expertise in Kubiya AI and utilize its comprehensive capabilities for large-scale operations.

By the conclusion 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 engineered for the creation and execution of coding agents capable of interacting with code repositories, developer utilities, and APIs to boost engineering efficiency.

This instructor-led, live training (available online or on-site) targets intermediate to advanced ML engineers, developer-tooling teams, and Site Reliability Engineers (SREs) who aim to design, implement, and optimize coding agents using Devstral.

Upon completing this training, participants will be able to:

• Establish and configure the Devstral environment for coding agent development.
• Design agentic workflows for exploring and modifying codebases.
• Integrate coding agents with developer tools and APIs.
• Apply best practices for secure and efficient agent deployment.

Course Format

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

Customization Options

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

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

This instructor-led live training (available online or onsite) is tailored for 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.

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

• Setting up and configuring self-hosted environments for Mistral and Devstral models.
• Applying fine-tuning techniques to enhance domain-specific performance.
• Implementing versioning, monitoring, and lifecycle governance strategies.
• Ensuring security, compliance, and responsible usage of open-source models.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises focused on self-hosting and fine-tuning.
• Live-lab implementation of governance and monitoring pipelines.

Customization Options

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

This guided, live training session in Romania (online or in-person) is designed for beginner-level DevOps engineers and IT managers who want to explore Kubiya AI's capabilities and integrate them into their current tools.

Upon completion of this course, attendees will be equipped to:

• Grasp the functionality 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 their existing DevOps infrastructure.

This instructor-led, live training in Romania (online or onsite) is designed for intermediate-level cloud engineers and operations managers who aim 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 Romania (online or onsite) is designed for intermediate-level DevOps engineers and CI/CD managers who want to enhance their pipelines using AI automation via 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 Romania (online or onsite) is designed for advanced DevOps teams and IT architects who wish to utilize Kubiya AI to automate and optimize enterprise-level DevOps operations.

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

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

Mistral represents a high-performance suite of large language models, specifically engineered for scalable and cost-effective production deployments.

This instructor-led training, available both online and onsite, targets advanced infrastructure engineers, cloud architects, and MLOps leaders seeking to design, deploy, and optimize Mistral-based architectures to achieve peak throughput while minimizing costs.

Upon completing this training, participants will be equipped to:

• Execute scalable deployment patterns for Mistral Medium 3.
• Utilize batching, quantization, and efficient serving strategies.
• Reduce inference expenses without compromising performance.
• Architect production-ready serving topologies tailored for enterprise workloads.

Course Format

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

Customization Options

• For tailored training on this topic, please contact us to arrange.

This instructor-led live training in Romania (online or onsite) is designed for advanced 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 Romania (online or on-site) is tailored for advanced professionals who want to integrate ManyChat with AI tools to construct intelligent chatbots, enhance customer engagement, and automate business processes.

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

• Merge ManyChat with AI models to enable smarter customer interactions.
• Create NLP-driven chatbot responses using ChatGPT.
• Automate customer support and marketing workflows with AI.
• Analyze chatbot performance through data-driven insights.

This instructor-led, live training in Romania (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.

Mistral AI offers an open-source AI platform that empowers teams to develop and embed conversational assistants into both enterprise operations and customer-facing workflows.

This instructor-led live training, available either online or onsite, targets beginner to intermediate product managers, full-stack developers, and integration engineers looking to design, integrate, and commercialize conversational assistants using Mistral connectors and integrations.

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

• Connect Mistral conversational models with enterprise and SaaS connectors.
• Implement retrieval-augmented generation (RAG) to ensure grounded responses.
• Create UX patterns for both internal and external chat assistants.
• Deploy assistants into product workflows for practical, real-world applications.

Course Format

• Interactive lectures and discussions.
• Practical integration exercises.
• Live lab sessions for developing conversational assistants.

Course Customization Options

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

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

This instructor-led live training, available either online or on-site, targets intermediate to advanced AI/ML engineers, platform architects, and MLOps teams looking to deploy, optimize, and secure Mistral Medium 3 for enterprise use cases.

Upon completing this training, participants will be able to:

• Deploy Mistral Medium 3 via API and self-hosted solutions.
• Optimize inference performance and associated costs.
• Implement multimodal use cases utilizing Mistral Medium 3.
• Apply security and compliance best practices suitable for enterprise environments.

Course Format

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

Customization Options

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

Mistral AI offers an open, enterprise-ready AI platform designed to facilitate secure, compliant, and responsible AI deployment.

This instructor-led training, available online or onsite, is designed for intermediate-level compliance leads, security architects, and legal/operations stakeholders seeking to implement responsible AI practices with Mistral by leveraging its privacy, data residency, and enterprise control capabilities.

Upon completing this training, participants will be able to:

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

Course Format

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

Customization Options

• To request a customized version of this course, please contact us to arrange.

Mistral models represent open-source AI technologies that are expanding into multimodal workflows, effectively supporting both linguistic and visual tasks for enterprise and research initiatives.

This live training, led by an instructor and available either online or on-site, is designed for intermediate-level machine learning researchers, applied engineers, and product teams interested in creating multimodal applications using Mistral models. The curriculum includes the development of OCR and document understanding pipelines.

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

• Configure and set up Mistral models for multimodal tasks.
• Implement OCR workflows and seamlessly integrate them with NLP pipelines.
• Design document understanding applications tailored to enterprise use cases.
• Develop functionalities for vision-text search and assistive user interfaces.

Course Format

• Interactive lectures and discussions.
• Practical coding exercises.
• Live laboratory sessions for implementing multimodal pipelines.

Customization Options

• To request tailored training for this course, please contact us to make arrangements.