LLMs for Content Generation Training Course

LangGraph is a framework designed for constructing stateful, multi-actor LLM applications as composable graphs, featuring persistent state and execution control.

This instructor-led live training, available online or onsite, targets advanced AI platform engineers, AI DevOps specialists, and ML architects aiming to optimize, debug, monitor, and operate production-grade LangGraph systems.

Upon completing this training, participants will be able to:

• Design and optimize complex LangGraph topologies for speed, cost-efficiency, and scalability.
• Ensure reliability through retries, timeouts, idempotency, and checkpoint-based recovery.
• Debug and trace graph executions, inspect state, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces, deploy to production, and monitor SLAs and costs.

Course Format

• Interactive lecture and discussion.
• Ample 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.

Devstral is an open-source framework engineered for creating and executing coding agents capable of interacting with code repositories, developer tools, and APIs to boost engineering productivity.

This instructor-led live training, available online or on-site, targets intermediate to advanced ML engineers, developer-tooling teams, and Site Reliability Engineers (SREs) looking to design, implement, and optimise coding agents using Devstral.

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

• Install and configure 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 practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Devstral and Mistral models are open-source artificial intelligence technologies engineered for flexible deployment, fine-tuning, and scalable integration.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced machine learning engineers, platform teams, and research engineers who intend to self-host, fine-tune, and govern Mistral and Devstral models within production environments.

Upon completing this training, participants will be equipped 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 mechanisms.
• Ensure security, compliance, and responsible usage of open-source models.

Course Format

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

Customization Options

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

LangGraph is a framework designed for constructing stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and operate LangGraph-based finance solutions with proper governance, observability, and compliance.

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

• Design finance-specific LangGraph workflows aligned to regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph state and tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems for performance, cost, and SLAs.

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.

LangGraph is a framework designed for constructing graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution.

This instructor-led live training (available online or on-site) targets beginner-level developers, prompt engineers, and data practitioners who want to design and build reliable, multi-step LLM workflows using LangGraph.

By the conclusion of this training, participants will be capable of:

• Explaining core LangGraph concepts (nodes, edges, state) and understanding when to apply them.
• Constructing prompt chains that branch, invoke tools, and maintain memory.
• Integrating retrieval mechanisms and external APIs into graph workflows.
• Testing, debugging, and evaluating LangGraph applications to ensure reliability and safety.

Course Format

• Interactive lectures and facilitated discussions.
• Guided labs and code walkthroughs within a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation.

Course Customization Options

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

LangGraph empowers the creation of stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are vital for ensuring compliance, interoperability, and the development of decision-support systems that seamlessly align with clinical workflows.

This instructor-led live training, available online or on-site, targets intermediate to advanced professionals eager to design, implement, and manage LangGraph-based healthcare solutions. The course addresses the regulatory, ethical, and operational challenges inherent in this field.

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

• Designing healthcare-specific LangGraph workflows that prioritise compliance and auditability.
• Integrating LangGraph applications with medical ontologies and standards such as FHIR, SNOMED CT, and ICD.
• Applying best practices for reliability, traceability, and explainability within sensitive environments.
• Deploying, monitoring, and validating LangGraph applications in healthcare production settings.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises grounded in real-world case studies.
• Practical implementation within a live laboratory environment.

Customisation Options

• To arrange a tailored training session for this course, please get in touch with us.

LangGraph serves as a framework for constructing stateful, multi-actor LLM applications by composing them into graphs that maintain persistent state and offer precise control over execution.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced professionals seeking to design, implement, and operate LangGraph-based legal solutions with the necessary compliance, traceability, and governance controls.

Upon completing this training, participants will be able to:

• Design legal-specific LangGraph workflows that ensure auditability and compliance.
• Integrate legal ontologies and document standards into graph state and processing.
• Implement guardrails, human-in-the-loop approvals, and traceable decision paths.
• Deploy, monitor, and maintain LangGraph services in production with observability and cost controls.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

LangGraph serves as a framework designed for composing graph-structured LLM workflows that facilitate branching, tool utilization, memory management, and controlled execution.

This instructor-led live training, available either online or onsite, targets intermediate-level engineers and product teams looking to merge LangGraph’s graph logic with LLM agent loops. The goal is to develop dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.

Upon completing this training, participants will be equipped to:

• Design graph-based workflows that effectively coordinate LLM agents, tools, and memory.
• Implement conditional routing, retries, and fallback mechanisms to ensure robust execution.
• Integrate retrieval processes, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and harden agent behavior to guarantee reliability and safety.

Course Format

• Interactive lectures and facilitated discussions.
• Guided labs and code walkthroughs conducted in a sandbox environment.
• Scenario-based design exercises accompanied by peer reviews.

Course Customization Options

• For those interested in a customized training session for this course, please reach out to us to arrange it.

LangGraph is a graph-based orchestration framework that empowers conditional, multi-step LLM and tool workflows, making it ideal for automating and personalising content pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level marketers, content strategists, and automation developers who wish to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

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

• Design graph-structured content and email workflows with conditional logic.
• Integrate LLMs, APIs, and data sources for automated personalisation.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimise workflow performance and delivery outcomes.

Format of the Course

• Interactive lectures and group discussions.
• Hands-on labs implementing email workflows and content pipelines.
• Scenario-based exercises on personalisation, segmentation, and branching logic.

Course Customization Options

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

Le Chat Enterprise offers a private ChatOps solution that enables organizations to leverage secure, customizable, and governed conversational AI features. It supports role-based access control (RBAC), single sign-on (SSO), connectors, and integration with enterprise applications.

This instructor-led training session, available online or on-site, is designed for intermediate-level product managers, IT leads, solution engineers, and security and compliance teams who want to deploy, configure, and manage Le Chat Enterprise within their organizations.

Upon completing this training, participants will be able to:

• Deploy and configure Le Chat Enterprise for secure operations.
• Implement RBAC, SSO, and compliance-driven controls.
• Connect Le Chat with enterprise applications and data repositories.
• Create and apply governance and administrative playbooks for ChatOps.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

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

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.

Mistral AI is an open AI platform that empowers teams to build and integrate conversational assistants into enterprise and customer-facing workflows.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level product managers, full-stack developers, and integration engineers who wish to design, integrate, and productize conversational assistants using Mistral connectors and integrations.

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

• Integrate Mistral conversational models with enterprise and SaaS connectors.
• Implement retrieval-augmented generation (RAG) for grounded responses.
• Design UX patterns for internal and external chat assistants.
• Deploy assistants into product workflows for real-world use cases.

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 production-grade deployment across enterprise environments.

This instructor-led live training (available online or onsite) targets intermediate to advanced AI/ML engineers, platform architects, and MLOps teams seeking to deploy, optimize, and secure Mistral Medium 3 for enterprise applications.

Upon completing this training, participants will be able to:

• Deploy Mistral Medium 3 via API and self-hosted solutions.
• Enhance inference performance and manage costs.
• Implement multimodal use cases leveraging Mistral Medium 3.
• Apply security and compliance best practices suitable for enterprise environments.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

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

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

This instructor-led training session, available online or onsite, is specifically tailored for intermediate-level compliance leads, security architects, and legal/operations stakeholders who aim to establish responsible AI practices using Mistral. Participants will learn to leverage privacy safeguards, data residency options, and enterprise control mechanisms.

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

• Implementing privacy-preserving techniques within Mistral deployments.
• Applying data residency strategies to ensure alignment with regulatory requirements.
• Configuring enterprise-grade controls, including RBAC, SSO, and audit logs.
• Evaluating vendor and deployment options to ensure compliance alignment.

Format of the Course

• Interactive lectures and discussions.
• Compliance-focused case studies and practical exercises.
• Hands-on implementation of enterprise AI controls.

Course Customization Options

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

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

This instructor-led, live training (online or onsite) is aimed at 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.