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

This instructor-led, live training in [location] (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 for government. 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 for government. - 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 to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral for government applications. 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 in alignment with public sector standards. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - 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 [location] (online or onsite) is aimed at web developers who wish to use Microsoft Bot Framework Composer to design, build, and test conversational AI applications for government. By the end of this training, participants will be able to: - Set up the necessary development environment to begin developing bot projects. - Create a bot and integrate additional functionalities and elements using Composer. - Enhance bot features with Composer API and customize interactions using command-line interface (CLI) tools. - Test, debug, and validate bots, then deploy them to Azure for government use.

The Devstral and Mistral models are open-source artificial intelligence technologies designed for flexible deployment, fine-tuning, and scalable integration. This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced machine learning engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern the use of Mistral and Devstral models in production environments for government. 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 to optimize performance for specific domains. - Implement versioning, monitoring, and lifecycle governance practices. - Ensure security, compliance, and responsible usage of open-source models. **Format of the Course** - Interactive lectures and discussions. - 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 government use, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for beginner-level DevOps professionals and IT managers who are interested in exploring the capabilities of Kubiya AI and integrating it into their current workflows. 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 within their environment. - Implement basic use cases for Kubiya AI in DevOps operations. - Integrate Kubiya AI with existing DevOps tools and systems for government.

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level cloud engineers and operations managers who wish to enhance their cloud infrastructure management using Kubiya AI for government. By the end of this training, participants will be able to: - Integrate Kubiya AI into their cloud infrastructure. - Automate the provisioning and management of cloud resources. - Optimize cloud costs through AI-powered analytics. - Enhance cloud security with AI-driven monitoring.

This instructor-led, live training (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 end of this training, participants will be able to: - Comprehend the core principles of integrating AI into DevOps pipelines. - Deploy Kubiya AI within widely used CI/CD tools such as Jenkins and GitLab CI. - Automate various CI/CD pipeline tasks with Kubiya AI. - Utilize AI for proactive monitoring and management of CI/CD pipelines, ensuring timely issue detection. This training aligns with best practices for government agencies looking to optimize their DevOps processes.

This instructor-led, live training (online or onsite) is designed for advanced-level DevOps teams and IT architects who aim to utilize Kubiya AI to automate and optimize enterprise-level DevOps operations for government. By the end of this training, participants will be able to: - Tailor Kubiya AI to meet the specific requirements of their enterprise DevOps environments. - Seamlessly 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 for government.

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, specifically tailored for government applications.

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

• Implement scalable deployment patterns for Mistral Medium 3 in a government context.
• Apply batching, quantization, and efficient serving strategies to meet public sector requirements.
• Optimize inference costs while maintaining performance for government workloads.
• Design production-ready serving topologies for enterprise and government workloads.

Format of the Course

• Interactive lecture and discussion tailored to public sector needs.
• Lots of exercises and practice relevant to government operations.
• Hands-on implementation in a live-lab environment designed for government use cases.

Course Customization Options

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

This instructor-led, live training in [location] (online or onsite) is aimed at advanced-level marketing professionals who wish to master ManyChat automation for sophisticated marketing campaigns and audience engagement for government. 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 (online or onsite) is designed for advanced-level professionals in the public sector who aim to integrate ManyChat with artificial intelligence tools to develop intelligent chatbots, enhance customer engagement, and streamline business processes for government. By the end of this training, participants will be able to: - Integrate ManyChat with AI models to facilitate more intelligent customer interactions. - Develop NLP-driven chatbot responses using ChatGPT. - Automate customer support and marketing workflows with AI solutions. - Analyze chatbot performance through data-driven insights for government.

This instructor-led, live training in [location] (online or onsite) is designed for 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 linked to their business page. - Develop basic chatbots for lead generation and customer support. - Automate simple marketing workflows to improve customer engagement, aligning with best practices for government communication and service delivery.

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

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

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• 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 artificial intelligence platform designed to provide secure, compliant, and responsible AI deployment solutions. This instructor-led, live training (available online or on-site) is tailored for intermediate-level compliance leads, security architects, and legal/operations stakeholders who seek to implement responsible AI practices with Mistral. The training emphasizes leveraging privacy, data residency, and enterprise control mechanisms to ensure alignment with regulatory standards. By the end of this training, participants will be able to: - Implement privacy-preserving techniques in Mistral deployments. - Apply data residency strategies to comply with regulatory requirements. - Set up enterprise-grade controls such as Role-Based Access Control (RBAC), Single Sign-On (SSO), and audit logs. - Evaluate vendor and deployment options to ensure compliance alignment. **Format of the Course** - Interactive lectures and discussions. - Compliance-focused case studies and exercises. - Hands-on implementation of enterprise AI controls. **Course Customization Options for Government** - To request a customized training for government, please contact us to arrange.

Mistral models are open-source AI technologies that now support multimodal workflows, enabling both language and vision tasks for enterprise and research applications. This instructor-led, live training (online or onsite) is designed for intermediate-level ML researchers, applied engineers, and product teams who wish to develop multimodal applications using 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 for Government** - To request a customized training for this course, tailored to specific needs and requirements, please contact us to arrange.