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

This instructor-led, live training in Malaysia (online or onsite) is aimed at advanced-level 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 engineered for the creation and execution of coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led, live training, available online or onsite, targets intermediate to advanced-level ML engineers, developer-tooling teams, and SREs keen on designing, implementing, and optimizing coding agents using Devstral.

Upon completion of this training, participants will be equipped 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.

Course Format

• Interactive lecture and discussion.
• Ample exercises and practice opportunities.
• Hands-on implementation within a live-lab environment.

Customization Options

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

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

This instructor-led live training, available both online and onsite, targets intermediate to advanced machine learning 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:

• Establish and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques to enhance performance for specific domains.
• Implement versioning, monitoring, and lifecycle governance protocols.
• Ensure security, regulatory compliance, and responsible usage of open-source models.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on self-hosting and fine-tuning.
• Live laboratory sessions for implementing governance and monitoring pipelines.

Customization Options

• To arrange a customized version of this course, please get in touch with us.

This instructor-led, live training in Malaysia (online or onsite) is aimed at beginner-level DevOps professionals and IT managers who wish 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 session, accessible online or onsite, is designed for intermediate-level cloud engineers and operations managers seeking 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 Malaysia (online or onsite) is designed for intermediate-level DevOps engineers and CI/CD managers who wish to enhance their pipelines with AI automation using Kubiya AI.

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

• Grasp the fundamentals of integrating AI into DevOps pipelines.
• Deploy Kubiya AI within widely used CI/CD tools like Jenkins and GitLab CI.
• Automate CI/CD pipeline tasks using Kubiya AI.
• Monitor and oversee CI/CD pipelines by leveraging AI for proactive issue detection.

This instructor-led, live training in Malaysia (available online or onsite) is tailored for advanced-level DevOps teams and IT architects who wish 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 high-performance family of large language models optimized for cost-effective production deployment at scale.

This instructor-led, live training (online or onsite) is aimed at advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimum cost.

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

• Implement scalable deployment patterns for Mistral Medium 3.
• Apply batching, quantization, and efficient serving strategies.
• Optimize inference costs while maintaining performance.
• Design production-ready serving topologies for enterprise workloads.

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 Malaysia (online or onsite) is designed for advanced marketing professionals aiming to master ManyChat automation for sophisticated marketing campaigns and audience engagement.

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

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

This instructor-led, live training in Malaysia (online or onsite) is aimed at 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 Malaysia (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 serves as an open-source AI platform that empowers teams to construct 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 productize conversational assistants using Mistral connectors and integrations.

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

• Integrating Mistral conversational models with enterprise and SaaS connectors.
• Implementing retrieval-augmented generation (RAG) to deliver grounded responses.
• Designing UX patterns for both internal and external chat assistants.
• Deploying assistants into product workflows for real-world applications.

Format of the Course

• 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.

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

This instructor-led live training, available either online or at your location, targets intermediate to advanced AI/ML engineers, platform architects, and MLOps professionals seeking to deploy, optimize, and secure Mistral Medium 3 for business-critical applications.

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

• Deploy Mistral Medium 3 via API or self-hosted configurations.
• Enhance inference performance while managing costs effectively.
• Develop multimodal applications leveraging Mistral Medium 3.
• Adopt security and compliance best practices tailored for enterprise environments.

Course Delivery Format

• Engaging interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation within a live-lab setting.

Customization Options

• For customized training sessions, please get in touch with us to make arrangements.

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

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

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

• Implement privacy-preserving techniques in Mistral deployments.
• Apply data residency strategies to meet regulatory requirements.
• Set up enterprise-grade controls such as RBAC, SSO, and audit logs.
• Evaluate vendor and deployment options for compliance alignment.

Format of the Course

• Interactive lecture and discussion.
• Compliance-focused case studies and exercises.
• Hands-on implementation of enterprise AI controls.

Course Customization Options

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

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

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 build multimodal applications with Mistral models, including OCR and document understanding pipelines.

By the end 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 understanding applications for enterprise use cases.
• Develop vision-text search and assistive UI functionalities.

Course Format

• Interactive lectures and discussions.
• Hands-on coding exercises.
• Live-lab implementation of multimodal pipelines.

Customization Options

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