Productizing Conversational Assistants with Mistral Connectors & Integrations Training Course

This instructor-led, live training in Australia (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.

Upon completing this training, participants will be able to:

• Automate complex workflows using Kubiya AI.
• Customise AI responses and actions.
• Scale DevOps operations with Kubiya AI.
• Troubleshoot and optimise 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.

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

This instructor-led, live training (online or onsite) is aimed at intermediate–level to advanced–level ML engineers, platform teams, and research engineers who wish to self-host, fine-tune, and govern Mistral and Devstral models in 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 Australia (online or onsite) targets beginner-level DevOps practitioners and IT managers keen on exploring Kubiya AI's capabilities and integrating it into their current tooling stack.

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

• Grasp the features 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 existing DevOps tools.

This instructor-led, live training in Australia (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 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 Australia (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 Australia (online or onsite) is designed for advanced-level DevOps teams and IT architects who wish to utilise Kubiya AI to automate and optimize enterprise-level DevOps operations.

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

• Adapt Kubiya AI for specific enterprise DevOps environments.
• Connect Kubiya AI with the CI/CD tools prevalent in enterprise DevOps.
• Elevate DevOps automation through AI-driven workflows.
• Uphold security and compliance standards within AI-driven DevOps processes.

Le Chat Enterprise offers a private ChatOps solution that delivers secure, customisable, and governed conversational AI capabilities for organisations, including support for RBAC, SSO, connectors, and enterprise app integrations.

This instructor-led, live training (available online or onsite) is designed for intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who want to deploy, configure, and govern Le Chat Enterprise in enterprise environments.

By the end 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.
• Ample 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 optimised for cost-effective production deployment at scale.

This instructor-led, live training (available online or onsite) is aimed at advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimise 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, quantisation, and efficient serving strategies.
• Optimise inference costs while maintaining performance.
• Design production-ready serving topologies for enterprise workloads.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises and practice.
• Practical implementation in a live-lab environment.

Course Customisation Options

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

This instructor-led live training in Australia (online or onsite) is tailored for advanced marketing professionals seeking to master ManyChat automation for sophisticated marketing campaigns and audience engagement.

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

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

This instructor-led, live training in Australia (online or onsite) targets 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 Australia (online or onsite) is tailored for beginner-level marketing professionals who want to build basic chatbots and automate customer engagement using ManyChat.

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

• Grasp the fundamentals of ManyChat and chatbot automation.
• Set up and configure a ManyChat account linked 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 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, optimise, 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.
• Optimise 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 offers an open, enterprise-ready platform designed to support secure, compliant, and responsible AI deployments.

This instructor-led training session (available online or onsite) targets intermediate-level compliance leaders, security architects, and legal or operations stakeholders keen on embedding responsible AI practices within their organisations using Mistral’s privacy, data residency, and enterprise control capabilities.

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

• Deploy privacy-preserving techniques within Mistral environments.
• Execute 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.
• Practical implementation of enterprise AI controls.

Customisation Options

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

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 onsite) is designed for intermediate-level ML researchers, applied engineers, and product teams who wish 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.

Format of the Course

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

Course Customization Options

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