Advanced Conversational AI - 2 days 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.

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.

This instructor-led, live training in US (online or onsite) is aimed at developers who wish to install, set up, and manage chatbot-building platforms and code-based frameworks to create and deploy chatbot services for government. By the end of this training, participants will be able to design, build, evaluate, and test chatbot services to provide automated chat or voice support interfaces for their users, enhancing efficiency and accessibility in public sector workflows.

This instructor-led, live training (online or onsite) is designed for advanced-level Conversational AI developers who seek to acquire practical experience in the advanced skills required for developing, managing, and optimizing sophisticated conversational AI projects for government. By the end of this training, participants will be able to: - Master advanced design and development principles for conversational AI. - Implement robust conversational flows with adaptive learning capabilities. - Integrate AI models with various enterprise-level systems used in public sector environments. - Ensure effective project management and lifecycle strategies for AI-driven initiatives. - Evaluate and refine conversation models based on user feedback and data analysis, ensuring alignment with government standards and objectives.

This instructor-led, live training is designed for government employees and other professionals who aim to ensure their organization complies with regulations, minimizes risks, and empowers the workforce to leverage AI safely and ethically. By the end of this training, participants will be able to: - Understand how AI systems operate and their potential applications. - Identify risks and limitations associated with AI systems. - Adhere to relevant legal and ethical requirements for government.

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.

Le Chat Enterprise is a private ChatOps solution designed to provide secure, customizable, and governed conversational AI capabilities for organizations. It supports role-based access control (RBAC), single sign-on (SSO), connectors, and integrations with enterprise applications. This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish to deploy, configure, and govern Le Chat Enterprise in enterprise environments for government use. 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 administrative playbooks for ChatOps. **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 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 AI is an open artificial intelligence platform that enables teams to develop and integrate conversational assistants into enterprise and customer-facing workflows.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate level product managers, full-stack developers, and integration engineers who wish to design, integrate, and deploy conversational assistants using Mistral connectors and integrations for government applications.

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

• Integrate Mistral conversational models with enterprise and SaaS connectors for seamless communication.
• Implement retrieval-augmented generation (RAG) to ensure responses are well-grounded and contextually relevant.
• Design user experience (UX) patterns for both internal and external chat assistants, enhancing usability and efficiency.
• Deploy conversational assistants into product workflows for practical and real-world use cases, ensuring they meet the needs of government operations.

Format of the Course

• Interactive lecture and discussion to foster understanding and engagement.
• Hands-on integration exercises to apply concepts in a practical setting.
• Live-lab development of conversational assistants to reinforce learning through real-world scenarios.

Course Customization Options

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

This instructor-led, live training in [location] (online or onsite) is aimed at researchers and developers who wish to install, configure, customize, and manage the ParlAI platform for government use to develop their AI models. By the end of this training, participants will be able to share, train, and evaluate AI models to build and develop conversational solutions across existing chat services for government applications.