Productizing Conversational Assistants with Mistral Connectors & Integrations Training Course

This instructor-led, live training in Uzbekistan (online or onsite) targets advanced-level DevOps engineers and automation specialists aiming to deepen their mastery of Kubiya AI and harness its full potential for large-scale operations.

Upon completing this training, participants will be equipped 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 purpose-built for creating and operating 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 ML engineers, developer-tooling teams, and SREs aiming to design, implement, and optimize coding agents using Devstral.

Upon completing this training, participants will be able to:

• Configure and set up Devstral 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 sessions.
• Hands-on implementation within a live lab environment.

Customization Options

• To arrange a tailored version of this course, please contact us.

This instructor-led, live training in Uzbekistan—available online or on-site—is designed for 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 required development environment to start developing bot projects.
• Create a bot and integrate additional functionalities and elements with Composer.
• Enhance bot features using the Composer API and customise interactions via CLI tools.
• Test, debug, and validate bots, then deploy them to Azure.

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

This instructor-led live training, available online or onsite, targets intermediate to advanced machine learning engineers, platform teams, and research engineers who want to self-host, fine-tune, and govern Mistral and Devstral models in 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 processes.
• 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.

This instructor-led, live training in Uzbekistan (online or onsite) is tailored for beginner-level DevOps professionals and IT managers eager to explore Kubiya AI's capabilities and integrate them into their current toolchains.

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

• Grasp the features and advantages of Kubiya AI.
• Install and configure Kubiya AI within their infrastructure.
• Apply foundational use cases of Kubiya AI in DevOps scenarios.
• Connect Kubiya AI with their existing DevOps ecosystem.

This instructor-led, live training in Uzbekistan (online or on-site) is tailored for intermediate-level cloud engineers and operations managers seeking to improve their cloud infrastructure management through 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.
• Optimise cloud costs using AI-powered analytics.
• Enhance cloud security with AI-driven monitoring.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level DevOps engineers and CI/CD managers who aim to enhance their pipelines with AI automation using Kubiya AI.

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

• Comprehend 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 Uzbekistan (online or onsite) targets advanced-level DevOps teams and IT architects who want to use Kubiya AI to automate and optimize enterprise DevOps operations.

Upon completing this training, participants will be capable of:

• Adapting Kubiya AI to fit particular enterprise DevOps environments.
• Connecting Kubiya AI with CI/CD tools commonly used in enterprise DevOps.
• Upgrading DevOps automation through AI-powered workflows.
• Maintaining security and compliance standards within AI-driven DevOps processes.

Le Chat Enterprise offers a secure, customizable, and governed conversational AI solution designed for organizations. It supports role-based access control (RBAC), single sign-on (SSO), connectors, and enterprise app integrations, ensuring private ChatOps capabilities.

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

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

• Set up and configure Le Chat Enterprise for secure deployments.
• Enable RBAC, SSO, and compliance-driven controls.
• Integrate Le Chat with enterprise applications and data stores.
• Design and implement governance and admin playbooks for ChatOps.

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.

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.

Upon completing 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.

Course Format

• 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 Uzbekistan (available online or onsite) is tailored for advanced marketing professionals aiming to master ManyChat automation for sophisticated campaigns and audience engagement.

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

• Build advanced automation workflows using 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 Uzbekistan (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.
• Analyse chatbot performance using data-driven insights.

This live, instructor-led training in Uzbekistan (online or onsite) is designed for beginner-level marketing professionals who intend to build fundamental chatbots and automate customer engagement using ManyChat.

Upon completing this course, participants will be able to:

• Grasp the core concepts of ManyChat and chatbot automation.
• Configure a ManyChat account and link it to their business page.
• Develop basic chatbots for generating leads and providing customer support.
• Implement simple marketing automation to boost customer interaction.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI/ML engineers, platform architects, and MLOps teams who wish to deploy, optimize, and secure Mistral Medium 3 for enterprise use cases.

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

• Deploy Mistral Medium 3 using API and self-hosted options.
• Optimize inference performance and costs.
• Implement multimodal use cases with Mistral Medium 3.
• Apply security and compliance best practices for enterprise environments.

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.

Mistral AI is an open and enterprise-ready AI platform that provides features for secure, compliant, and responsible AI deployment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level compliance leads, security architects, and legal/ops stakeholders who wish to implement responsible AI practices with Mistral by leveraging privacy, data residency, and enterprise control mechanisms.

By the end 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.