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

LangGraph serves as a robust framework for constructing stateful, multi-agent LLM applications by designing composable graphs that maintain persistent state and offer precise control over execution flows.

This instructor-led live training, available both online and on-site, is tailored for advanced AI platform engineers, AI DevOps specialists, and ML architects seeking to refine, troubleshoot, monitor, and operate production-ready LangGraph systems.

Upon completion, participants will be equipped to:

• Design and enhance complex LangGraph topologies to maximize speed, manage costs, and ensure scalability.
• Build resilience into systems through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Systematically debug and trace graph executions, inspect state details, and accurately reproduce production incidents.
• Implement comprehensive instrumentation with logs, metrics, and traces to deploy to production while closely monitoring SLAs and expenditures.

Course Structure

• Interactive lectures paired with open discussions.
• Extensive exercises and practical application tasks.
• Hands-on implementation within a live-lab environment.

Customization Availability

• Interested in a tailored training program? Please reach out to discuss bespoke arrangements.

Devstral serves as an open-source framework tailored for creating and deploying coding agents. These agents are capable of interacting with codebases, developer tools, and APIs, ultimately boosting engineering productivity.

This is an instructor-led, live training session available either online or onsite. It is specifically designed for intermediate to advanced ML engineers, developer-tooling teams, and SREs who aim to design, implement, and optimize coding agents using the Devstral framework.

Upon completing this training, participants will be equipped to:

• Configure and set up Devstral for the development of coding agents.
• Architect agentic workflows focused on codebase exploration and modification.
• Seamlessly integrate coding agents with existing developer tools and APIs.
• Apply best practices for secure and efficient agent deployment.

Course Format

• Engaging interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Live hands-on implementation within a lab environment.

Customization Options

• For those seeking a tailored training experience, please reach out to arrange a customized course.

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

This instructor-led, live training—available both online and on-site—is tailored for intermediate to advanced ML engineers, platform teams, and research engineers looking 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 optimize domain-specific performance.
• Implement robust versioning, monitoring, and lifecycle governance.
• Guarantee security, compliance, and responsible usage of open-source models.

Course Format

• Interactive lectures and facilitated discussions.
• Hands-on exercises focused on self-hosting and fine-tuning.
• Live-lab implementation of governance and monitoring pipelines.

Course Customization Options

• Please reach out to us to discuss arrangements for customized training on this course.

Fiji is a powerful, open-source image processing suite built upon the foundation of ImageJ, specifically designed for scientific image analysis and particularly effective in biological research contexts.

This live, instructor-led training session—available both online and on-site—is tailored for researchers and laboratory professionals at beginner to intermediate levels who aim to process and analyze images of histological tissues, blood cells, algae, and various other biological samples.

Upon completion of this program, participants will possess the skills to:

• Confidently navigate the Fiji interface and leverage the core functionalities of ImageJ.
• Preprocess and optimize scientific images to enhance analytical accuracy.
• Perform quantitative image analysis, encompassing cell counting and precise area measurements.
• Streamline repetitive workflows through the automation of macros and plugins.
• Adapt and customize specific workflows to meet the unique demands of biological image analysis.

Course Delivery Format

• Engaging interactive lectures combined with open discussions.
• Extensive opportunities for practical exercises and skill refinement.
• Direct, hands-on application within a live laboratory environment.

Course Customization

• For organizations seeking a tailored training experience, please reach out to discuss specific requirements and arrangements.

LangGraph is a robust framework designed to construct stateful, multi-agent Large Language Model (LLM) applications using composable graphs, offering persistent state management and precise control over execution flows.

This instructor-led, live training—available online or onsite—is tailored for intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based financial solutions with a strong focus on governance, observability, and regulatory compliance.

Upon completion, participants will be equipped to:

• Develop finance-specific LangGraph workflows that align with regulatory standards and audit requirements.
• Incorporate financial data standards and ontologies directly into graph states and tooling.
• Establish reliability, safety mechanisms, and human-in-the-loop controls for critical operations.
• Deploy, monitor, and optimize LangGraph systems to meet performance, cost, and SLA targets.

Course Format

• Interactive lectures and facilitated discussions.
• Extensive practical exercises and hands-on practice.
• Live-lab implementation sessions.

Customization Options

• Interested in a tailored training program? Please contact us to discuss customization arrangements.

LangGraph is a framework that enables the creation of graph-structured Large Language Model (LLM) applications, supporting capabilities such as planning, branching, tool utilization, memory management, and controlled execution.

This live, instructor-led training session, available either online or on-site, is designed for developers, prompt engineers, and data practitioners at a beginner level. It focuses on designing and constructing reliable, multi-stage LLM workflows using LangGraph.

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

• Describe fundamental LangGraph concepts, including nodes, edges, and state, and determine their appropriate applications.
• Construct prompt chains that incorporate branching logic, tool invocation, and persistent memory.
• Seamlessly integrate retrieval systems and external APIs into graph-based workflows.
• Conduct thorough testing, debugging, and evaluation of LangGraph applications to ensure reliability and safety.

Course Format

• Engaging lectures combined with facilitated group discussions.
• Hands-on labs and detailed code walkthroughs conducted in a secure sandbox environment.
• Practical exercises based on real-world scenarios covering design, testing, and evaluation.

Customization Options

• To explore tailored training options for this course, please reach out to our team to make arrangements.

LangGraph empowers developers to build stateful, multi-actor workflows driven by LLMs, offering granular control over execution paths and state persistence. In the healthcare sector, these features are essential for ensuring compliance, facilitating interoperability, and developing decision-support systems that seamlessly integrate with clinical workflows.

This instructor-led, live training—available online or onsite—targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational complexities.

Upon completing this training, participants will be able to:

• Develop healthcare-specific LangGraph workflows with a strong focus on compliance and auditability.
• Integrate LangGraph applications with medical ontologies and standards such as FHIR, SNOMED CT, and ICD.
• Implement best practices for reliability, traceability, and explainability within sensitive environments.
• Deploy, monitor, and validate LangGraph applications in live healthcare production settings.

Course Format

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

Customization Options

• Please contact us to arrange a tailored training experience for this course.

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

This instructor-led, live training (available online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and operate LangGraph-based legal solutions with the necessary compliance, traceability, and governance controls.

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

• Design legal-specific LangGraph workflows that preserve 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.

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 serves as a robust framework for architecting graph-structured workflows that harness LLMs, enabling complex branching, tool utilization, persistent memory, and precise control over execution flows.

This instructor-led live training, available online or onsite, is tailored for intermediate-level engineers and product teams looking to leverage LangGraph’s graph logic alongside LLM agent loops. The goal is to create dynamic, context-aware applications, such as intelligent customer support agents, complex decision trees, and advanced information retrieval systems.

Upon completion of this training, participants will possess the ability to:

• Architect graph-based workflows that seamlessly coordinate LLM agents, external tools, and memory states.
• Implement conditional routing, retry mechanisms, and fallback strategies to ensure robust execution.
• Integrate retrieval systems, external APIs, and structured outputs directly into agent loops.
• Evaluate, monitor, and reinforce agent behavior to guarantee high reliability and safety standards.

Course Format

• Engaging interactive lectures paired with facilitated group discussions.
• Hands-on guided labs and detailed code walkthroughs within a secure sandbox environment.
• Practical scenario-based design exercises complemented by peer review sessions.

Customization Options

• Interested in a tailored version of this curriculum? Please reach out to our team to discuss and arrange custom training solutions.

LangGraph is a graph-based orchestration framework that facilitates conditional, multi-step workflows for LLMs and tools. It is an excellent solution for automating and personalizing content pipelines.

This live, instructor-led training, available online or onsite, is designed for intermediate-level marketers, content strategists, and automation developers looking to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

Upon completion, participants will be able to:

• Construct graph-structured content and email workflows incorporating conditional logic.
• Combine LLMs, APIs, and data sources to drive automated personalization.
• Manage state, memory, and context throughout multi-step campaigns.
• Assess, monitor, and refine workflow performance and delivery outcomes.

Course Format

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

Customization Options

• If you require a tailored training for this course, please contact us to make arrangements.

Le Chat Enterprise is a private ChatOps solution that provides secure, customizable, and governed conversational AI capabilities for organizations, with support for RBAC, SSO, connectors, and enterprise app integrations.

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.

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.
• 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 represents a high-performance family of large language models specifically designed for cost-efficient production deployment at scale.

This instructor-led live training, available both online and on-site, is tailored for advanced infrastructure engineers, cloud architects, and MLOps leads seeking to design, deploy, and optimize Mistral-based architectures to maximize throughput while minimizing costs.

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

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

Course Format

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

Customization Options

• Contact us to arrange a tailored training solution for this course.

Mistral AI provides an open-source platform designed to help teams develop and embed conversational assistants into both enterprise operations and customer-facing processes.

This live, instructor-led session—available either online or on-site—targets beginner to intermediate professionals, including product managers, full-stack developers, and integration engineers, who aim to design, integrate, and launch conversational assistants leveraging Mistral's connectors and integrations.

Upon completion, participants will be equipped to:

• Connect Mistral conversational models with enterprise systems and SaaS platforms.
• Apply retrieval-augmented generation (RAG) techniques to ensure accurate, grounded responses.
• Craft effective UX patterns for both internal and external chat assistants.
• Deploy assistants within product workflows for practical, real-world applications.

Course Format

• Interactive presentations and guided discussions.
• Practical, hands-on integration tasks.
• Live laboratory sessions for building conversational assistants.

Customization Opportunities

• Reach out to us if you require a tailored training experience for this course.

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, optimize, 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.
• Optimize 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 facilitate secure, compliant, and responsible AI deployment through a comprehensive set of features.

This instructor-led live training, available both online and on-site, is tailored for intermediate-level compliance leads, security architects, and legal or operational stakeholders seeking to establish responsible AI practices with Mistral by utilizing privacy, data residency, and enterprise control mechanisms.

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

• Implement privacy-preserving techniques within Mistral deployments.
• Apply data residency strategies to satisfy regulatory requirements.
• Configure enterprise-grade controls, including RBAC, SSO, and audit logs.
• Evaluate vendor and deployment options to ensure compliance alignment.

Course Format

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

Course Customization Options

• To arrange customized training for this course, please contact us to discuss your requirements.