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

This instructor-led, live training session in Argentina (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.

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 engineered for the creation and operation of coding agents capable of interacting with codebases, developer utilities, and APIs to boost engineering productivity.

This instructor-led, live training session, available either online or onsite, targets intermediate to advanced ML engineers, developer-tooling teams, and SREs who aim to design, implement, and optimize coding agents using Devstral.

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

• Configure and set up Devstral for coding agent development.
• Design agentic workflows tailored for codebase exploration and modification.
• Seamlessly integrate coding agents with developer tools and APIs.
• Apply best practices to ensure secure and efficient agent deployment.

Course Format

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

Customization Options

• To request a customized training curriculum for this course, please contact us for arrangement.

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

This instructor-led, live training—available online or onsite—is designed 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 completing this training, participants will be able to:

• Set up and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques to enhance domain-specific performance.
• Implement versioning, monitoring, and lifecycle governance.
• Ensure 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.

Course Customization Options

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

This instructor-led, live training in Argentina (online or onsite) is designed for beginner-level DevOps professionals and IT managers who want to explore Kubiya AI's capabilities and integrate them with their current 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 Argentina (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 Argentina (online or onsite) targets 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 Argentina (online or onsite) is designed for advanced DevOps teams and IT architects who want 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.

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

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

Upon completing this training, participants will be capable of:

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

Course Format

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

Course Customization Options

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

This live, instructor-led training in Argentina (online or onsite) targets advanced marketing professionals who seek to master ManyChat automation for complex marketing campaigns and audience engagement.

Upon completing 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 Argentina (available online or onsite) is designed for advanced professionals looking to integrate ManyChat with AI tools. The course focuses on building intelligent chatbots, enhancing customer engagement, and automating business processes.

By the conclusion 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 Argentina (online or on-site) 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 provides an open platform that empowers teams to build and incorporate conversational assistants into both enterprise internal processes and customer-facing workflows.

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

Upon completing this training, participants will be equipped to:

• Connect Mistral conversational models with enterprise and SaaS connectors.
• Implement retrieval-augmented generation (RAG) to deliver 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 focused on developing conversational assistants.

Customization Options

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

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

This instructor-led training, available both online and onsite, targets intermediate to advanced AI/ML engineers, platform architects, and MLOps professionals seeking to deploy, optimize, and secure Mistral Medium 3 for business applications.

Upon completion, participants will be equipped to:

• Deploy Mistral Medium 3 via APIs or self-hosted solutions.
• Enhance inference efficiency and manage associated costs.
• Execute multimodal applications using Mistral Medium 3.
• Adopt security and compliance standards suited for enterprise environments.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical drills.
• Hands-on implementation in a live laboratory setting.

Customization Options

• For tailored training solutions, please reach out to us to coordinate.

Mistral AI offers an open, enterprise-grade AI platform equipped with features designed to support secure, compliant, and responsible AI deployment.

This instructor-led live training, available both online and onsite, targets intermediate-level compliance leaders, security architects, and legal/operations stakeholders who aim to adopt responsible AI practices using Mistral through robust privacy, data residency, and enterprise control mechanisms.

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

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

Course Format

• Interactive lectures and discussions.
• Compliance-focused case studies and practical exercises.
• Hands-on implementation of enterprise AI controls.

Customization Options

• For customized training arrangements, please contact us.

Mistral models are open-source artificial intelligence technologies that have expanded into multimodal workflows, supporting both language processing and vision tasks for enterprise and research initiatives.

This instructor-led, live training (available online or on-site) is designed for intermediate-level ML researchers, applied engineers, and product teams who aim to construct multimodal applications using Mistral models, specifically focusing on OCR and document analysis pipelines.

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

• Set up and configure Mistral models for multimodal tasks.
• Implement OCR workflows and integrate them with NLP pipelines.
• Design document analysis applications for enterprise use cases.
• Develop vision-text search and assistive UI functionalities.

Course Format

• Interactive lecture and discussion.
• Hands-on coding exercises.
• Live-lab implementation of multimodal pipelines.

Customization Options

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