Practical AI Tools for Legal Professionals Training Course

LangGraph serves as a framework for constructing stateful, multi-actor LLM applications as composable graphs that maintain persistent state and provide granular control over execution.

This instructor-led live training, available online or onsite, is designed for advanced AI platform engineers, DevOps professionals specializing in AI, and ML architects who aim 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 to enhance speed, reduce costs, and ensure scalability.
• Engineer reliability by implementing retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debug and trace graph executions, inspect state, and systematically reproduce production issues.
• 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 practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Devstral is an open-source framework engineered for the creation and operation of coding agents capable of interacting with codebases, developer utilities, and APIs to boost engineering productivity.

This instructor-led, live training session, available either online or onsite, targets intermediate to advanced ML engineers, developer-tooling teams, and SREs who aim to design, implement, and optimize coding agents using Devstral.

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

• Configure and set up Devstral for coding agent development.
• Design agentic workflows tailored for codebase exploration and modification.
• Seamlessly integrate coding agents with developer tools and APIs.
• Apply best practices to ensure secure and efficient agent deployment.

Course Format

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

Customization Options

• To request a customized training curriculum for this course, please contact us for arrangement.

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

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

Upon completing this training, participants will be able to:

• Set up and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques to enhance domain-specific performance.
• Implement versioning, monitoring, and lifecycle governance.
• Ensure security, compliance, and responsible usage of open-source models.

Course Format

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

Course Customization Options

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

This practical training on Argentina explores the fundamentals of Fiji and ImageJ as applied to biological research. Learners will develop proficient skills in image preprocessing, quantitative analysis, and macro automation, enabling them to optimize workflows for histological tissues, cells, and other samples while ensuring reproducible outcomes.

LangGraph serves as a framework designed for constructing LLM applications with graph structures, enabling capabilities such as planning, branching, tool utilization, memory management, and controllable execution.

This instructor-led live training, available either online or on-site, targets beginner-level developers, prompt engineers, and data practitioners aiming to design and implement reliable, multi-step LLM workflows using LangGraph.

Upon completing this training, participants will be capable of:

• Explaining fundamental LangGraph concepts (nodes, edges, and state) and identifying appropriate use cases for each.
• Constructing prompt chains that feature branching logic, tool invocation, and persistent memory.
• Integrating retrieval mechanisms and external APIs into graph-based workflows.
• Testing, debugging, and evaluating LangGraph applications to ensure reliability and safety.

Course Format

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

Customization Options

• To request customized training for this course, please reach out to us to arrange your session.

LangGraph is a graph-based orchestration framework that enables conditional, multi-step LLM and tool workflows, ideal for automating and personalizing 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 personalization.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimize 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 personalization, segmentation, and branching logic.

Course Customization Options

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

Mistral AI provides an open platform that empowers teams to build and incorporate conversational assistants into both enterprise internal processes and customer-facing workflows.

This instructor-led live training, available either online or onsite, targets beginner to intermediate-level product managers, full-stack developers, and integration engineers who aim to design, integrate, and productize conversational assistants utilizing Mistral connectors and integrations.

Upon completing this training, participants will be equipped to:

• Connect Mistral conversational models with enterprise and SaaS connectors.
• Implement retrieval-augmented generation (RAG) to deliver grounded responses.
• Create UX patterns for both internal and external chat assistants.
• Deploy assistants into product workflows for practical, real-world applications.

Course Format

• Interactive lectures and discussions.
• Practical integration exercises.
• Live lab sessions focused on developing conversational assistants.

Customization Options

• To request a customized version of this course, please contact us to arrange it.

Mistral Medium 3 is a high-performance, multimodal large language model engineered for robust, production-ready deployment within enterprise settings.

This instructor-led training, available both online and onsite, targets intermediate to advanced AI/ML engineers, platform architects, and MLOps professionals seeking to deploy, optimize, and secure Mistral Medium 3 for business applications.

Upon completion, participants will be equipped to:

• Deploy Mistral Medium 3 via APIs or self-hosted solutions.
• Enhance inference efficiency and manage associated costs.
• Execute multimodal applications using Mistral Medium 3.
• Adopt security and compliance standards suited for enterprise environments.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical drills.
• Hands-on implementation in a live laboratory setting.

Customization Options

• For tailored training solutions, please reach out to us to coordinate.

Mistral AI offers an open, enterprise-grade AI platform equipped with features designed to support secure, compliant, and responsible AI deployment.

This instructor-led live training, available both online and onsite, targets intermediate-level compliance leaders, security architects, and legal/operations stakeholders who aim to adopt responsible AI practices using Mistral through robust privacy, data residency, and enterprise control mechanisms.

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

• Deploy privacy-preserving techniques within Mistral environments.
• Utilize data residency strategies to satisfy regulatory obligations.
• Configure enterprise-grade controls, including RBAC, SSO, and audit logging.
• Assess vendor and deployment options to ensure compliance alignment.

Course Format

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

Customization Options

• For customized training arrangements, please contact us.