Practical AI Tools for Communication, Design, and Media Work Training Course

LangGraph is a framework designed for constructing stateful, multi-actor LLM applications using composable graphs that maintain persistent state and offer control over execution.

This instructor-led, live training (available online or on-site) is tailored for advanced AI platform engineers, DevOps professionals specializing in AI, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.

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

• Design and optimize complex LangGraph topologies for enhanced speed, cost efficiency, and scalability.
• Ensure reliability through mechanisms such as retries, timeouts, idempotency, and checkpoint-based recovery.
• Effectively debug and trace graph executions, inspect state, and systematically reproduce issues encountered in production environments.
• Instrument graphs with logs, metrics, and traces, deploy them to production, and monitor SLAs and associated costs.

Format of the Course

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

Course Customization Options

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

Devstral is an open-source framework designed to facilitate the creation and operation of coding agents that can interact with codebases, developer tools, and APIs, thereby enhancing engineering productivity.

This instructor-led, live training (available both online and on-site) is tailored for intermediate to advanced ML engineers, developer-tooling teams, and SREs who are interested in designing, implementing, and optimizing coding agents using Devstral.

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

• Set up and configure Devstral for developing coding agents.
• Create agentic workflows for exploring and modifying codebases.
• Integrate coding agents with developer tools and APIs.
• Apply best practices for secure and efficient deployment of agents.

Format of the Course

• Interactive lectures and discussions.
• 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.

Devstral and Mistral models represent open-source AI technologies engineered for flexible deployment, precise fine-tuning, and scalable integration within diverse infrastructure.

This instructor-led, live training—available either online or onsite—is tailored for intermediate to advanced-level ML engineers, platform teams, and research engineers seeking to self-host, fine-tune, and govern Mistral and Devstral models effectively within production environments.

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

• Establish and configure self-hosted environments for both Mistral and Devstral models.
• Apply advanced fine-tuning techniques to optimize performance for specific domains.
• Implement robust versioning, monitoring, and lifecycle governance strategies.
• Guarantee security, regulatory compliance, and responsible usage of open-source AI models.

Course Format

• Interactive lectures coupled with in-depth discussions.
• Practical, hands-on exercises focused on self-hosting and model fine-tuning.
• Live-lab implementation of comprehensive governance and monitoring pipelines.

Customisation Options

• Should you require a customised training programme for this course, please contact us to arrange a tailored session.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level to intermediate-level researchers and laboratory professionals who wish to process and analyze images related to histological tissues, blood cells, algae, and other biological samples.

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

• Navigate the Fiji interface and utilize ImageJ’s core functions.
• Preprocess and enhance scientific images for better analysis.
• Analyze images quantitatively, including cell counting and area measurement.
• Automate repetitive tasks using macros and plugins.
• Customize workflows for specific image analysis needs in biological research.

LangGraph serves as a robust framework for constructing stateful, multi-actor Large Language Model (LLM) applications. It enables the development of composable graphs that maintain persistent state while offering precise control over execution flows.

This instructor-led, live training—available either online or on-site—is specifically tailored for intermediate to advanced-level professionals. The programme is designed to empower participants to design, implement, and operate finance-focused solutions built on LangGraph, ensuring they adhere to strict governance, observability, and compliance standards.

Upon completing this training, participants will be equipped to:

• Architect finance-specific LangGraph workflows that align seamlessly with regulatory and audit obligations.
• Integrate established financial data standards and ontologies directly into graph states and supporting tooling.
• Implement robust reliability, safety, and human-in-the-loop controls for mission-critical processes.
• Deploy, monitor, and optimise LangGraph systems to meet demanding performance metrics, cost targets, and Service Level Agreements (SLAs).

Format of the Course

• Interactive lectures complemented by in-depth discussions.
• Extensive exercises and practical application sessions.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

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

LangGraph serves as a framework designed for developing graph-structured LLM applications that facilitate planning, branching, tool integration, memory retention, and controllable execution.

This instructor-led live training, available either online or on-site, is tailored for beginner-level developers, prompt engineers, and data professionals aiming to design and construct dependable, multi-step LLM workflows using LangGraph.

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

• Articulate core LangGraph concepts, including nodes, edges, and state, and understand their appropriate application scenarios.
• Develop prompt chains capable of branching, invoking tools, and sustaining memory.
• Seamlessly integrate retrieval mechanisms and external APIs into graph-based workflows.
• Conduct testing, debugging, and evaluation of LangGraph applications to ensure reliability and safety.

Course Format

• Interactive lectures coupled with facilitated discussions.
• Guided laboratory sessions and code walkthroughs conducted within a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation methodologies.

Course Customization Options

• Should you wish to request a customized version of this training, please contact us to make the necessary arrangements.

LangGraph empowers the creation of stateful, multi-actor workflows driven by Large Language Models (LLMs), offering precise command over execution paths and state persistence. In the healthcare sector, these capabilities are vital for ensuring regulatory compliance, achieving interoperability, and developing decision-support systems that seamlessly align with clinical workflows.

This instructor-led, live training, available either online or on-site, is tailored for intermediate to advanced-level professionals aspiring to design, implement, and manage LangGraph-based healthcare solutions. The programme addresses the unique regulatory, ethical, and operational challenges inherent to the industry.

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

• Architect healthcare-specific LangGraph workflows with a strong emphasis on compliance and auditability.
• Integrate LangGraph applications with essential medical ontologies and standards, including FHIR, SNOMED CT, and ICD.
• Implement best practices to ensure reliability, traceability, and explainability within sensitive clinical environments.
• Deploy, monitor, and validate LangGraph applications effectively in live healthcare production settings.

Course Format

• Interactive lectures followed by in-depth discussions.
• Practical exercises grounded in real-world case studies.
• Hands-on implementation practice within a dedicated live-lab environment.

Customisation Options

• To arrange a customised training session tailored to your specific needs, please contact us.

LangGraph is a framework designed for building stateful, multi-actor LLM applications as composable graphs, offering persistent state management and precise control over execution.

This instructor-led, live training (available online or onsite) is tailored for intermediate to advanced professionals aiming to design, implement, and operate LangGraph-based legal solutions while ensuring the necessary compliance, traceability, and governance controls.

Upon completing this training, participants will be equipped to:

• Design legal-specific LangGraph workflows that maintain full auditability and regulatory compliance.
• Integrate legal ontologies and document standards directly into the graph state and processing logic.
• Implement robust guardrails, human-in-the-loop approval mechanisms, and fully traceable decision paths.
• Deploy, monitor, and sustain LangGraph services in production environments with comprehensive observability and cost management.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a customized version of this training, please contact us to arrange the details.

LangGraph serves as a framework designed for orchestrating graph-structured LLM workflows, enabling sophisticated features such as branching logic, tool integration, persistent memory, and precise execution control.

This instructor-led, live training session—available either online or on-site—is tailored for intermediate-level engineers and product teams seeking to merge LangGraph's graph logic with LLM agent loops. The programme empowers participants to develop dynamic, context-aware applications, including customer support agents, decision trees, and advanced information retrieval systems.

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

• Architect graph-based workflows that seamlessly coordinate LLM agents, external tools, and memory systems.
• Deploy conditional routing, automated retries, and fallback mechanisms to ensure robust execution.
• Integrate retrieval capabilities, APIs, and structured outputs directly into agent loops.
• Assess, monitor, and fortify agent behaviour to uphold reliability and safety standards.

Course Format

• Engaging lectures complemented by facilitated discussions.
• Hands-on labs and code walkthroughs conducted within a sandbox environment.
• Scenario-based design exercises paired with peer reviews.

Course Customization Options

• Should you require a bespoke training programme tailored to your specific needs, please contact us to arrange a consultation.

LangGraph serves as a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving Large Language Models (LLMs) and tools, making it an ideal solution for automating and personalizing content pipelines.

This live, instructor-led training, available either online or on-site, is tailored for intermediate-level marketers, content strategists, and automation developers seeking to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

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

• Architect graph-structured content and email workflows incorporating conditional logic.
• Seamlessly integrate LLMs, APIs, and data sources to drive automated personalization.
• Effectively manage state, memory, and context throughout multi-step campaign sequences.
• Assess, monitor, and refine workflow performance to optimize delivery outcomes.

Course Format

• Engaging lectures complemented by group discussions.
• Practical labs focused on implementing email workflows and content pipelines.
• Scenario-driven exercises covering personalization, segmentation, and branching logic.

Course Customization Options

• To arrange a customized version of this training, please contact us to discuss your specific requirements.

Le Chat Enterprise stands as a private ChatOps solution designed to deliver secure, customizable, and fully governed conversational AI capabilities for organizations. It features robust support for Role-Based Access Control (RBAC), Single Sign-On (SSO), diverse connectors, and seamless enterprise application integrations.

This instructor-led, live training, available either online or on-site, is tailored for intermediate-level product managers, IT leads, solution engineers, and security and compliance teams. The programme aims to equip these professionals with the skills necessary to effectively deploy, configure, and govern Le Chat Enterprise within complex enterprise environments.

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

• Establish and configure Le Chat Enterprise to ensure secure deployments.
• Activate RBAC, SSO, and other compliance-driven controls.
• Integrate Le Chat with existing enterprise applications and data repositories.
• Design and execute comprehensive governance and administration playbooks for ChatOps.

Course Format

• Interactive lectures followed by open discussions.
• Extensive exercises and practical application sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• Should you require a customized version of this training, please contact us to arrange a tailored session.

Mistral represents a high-performance suite of large language models, specifically engineered for cost-effective production deployment at scale.

This instructor-led, live training—available either online or on-site—is tailored for advanced-level infrastructure engineers, cloud architects, and MLOps leads who aspire to design, deploy, and refine Mistral-based architectures to achieve maximum throughput while minimizing operational costs.

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

• Execute scalable deployment patterns for Mistral Medium 3.
• Implement batching, quantization, and efficient serving strategies.
• Optimize inference expenses without compromising performance.
• Architect production-ready serving topologies suited for enterprise workloads.

Course Format

• Interactive lectures followed by dynamic discussions.
• Extensive exercises and practical application sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a bespoke training session tailored to your specific needs for this course, please contact us to make arrangements.

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

This live, instructor-led training—available either online or on-site—is tailored for product managers, full-stack developers, and integration engineers at beginner to intermediate levels who aim to design, integrate, and bring conversational assistants to market using Mistral connectors and integrations.

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

• Connect Mistral conversational models with enterprise and SaaS connectors.
• Apply retrieval-augmented generation (RAG) to deliver contextually grounded responses.
• Design intuitive UX patterns for both internal and external chat assistants.
• Deploy assistants into product workflows to address real-world business scenarios.

Course Format

• Interactive lectures and guided discussions.
• Practical, hands-on integration exercises.
• Live laboratory sessions focused on developing conversational assistants.

Customisation Options

• To arrange a customised training session for this course, please contact us to discuss your specific requirements.

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

This instructor-led, live training, available either online or on-site, is designed for intermediate to advanced-level AI and ML engineers, platform architects, and MLOps teams who aim to successfully deploy, optimize, and secure Mistral Medium 3 for critical enterprise use cases.

Upon completing this training, participants will be equipped to:

• Deploy Mistral Medium 3 via both API integration and self-hosted solutions.
• Optimize inference performance while managing operational costs effectively.
• Implement diverse multimodal use cases leveraging the capabilities of Mistral Medium 3.
• Apply industry-leading security and compliance best practices tailored for enterprise settings.

Course Format

• Interactive lectures supported by in-depth discussions.
• Extensive practical exercises and hands-on practice sessions.
• Real-world implementation within a live-lab environment.

Course Customization Options

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

Mistral AI stands as an open, enterprise-grade AI platform designed to deliver secure, compliant, and responsible AI deployment capabilities.

This instructor-led live training, available either online or on-site, is tailored for intermediate-level compliance leads, security architects, and legal and operational stakeholders seeking to embed responsible AI practices within their organisations using Mistral. The programme focuses on leveraging privacy safeguards, data residency frameworks, and robust enterprise control mechanisms to ensure alignment with local and global standards.

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

• Deploy privacy-preserving techniques within Mistral environments.
• Implement data residency strategies that satisfy regulatory obligations.
• Configure enterprise-grade controls, including Role-Based Access Control (RBAC), Single Sign-On (SSO), and comprehensive audit logging.
• Assess vendor and deployment models to ensure full compliance alignment.

Course Format

• Interactive lectures paired with guided discussions.
• Real-world, compliance-oriented case studies and practical exercises.
• Hands-on sessions for implementing enterprise AI governance controls.

Customisation Options

• To request a customised version of this training tailored to your organisation's specific needs, please contact us to arrange a consultation.