CANN SDK for Computer Vision and NLP Pipelines Training Course

LangGraph provides a framework for developing stateful, multi-agent large language model (LLM) applications through composable graphs that maintain persistent state and precise execution control.

This instructor-led training, available online or onsite, targets advanced AI platform engineers, DevOps specialists for AI systems, and machine learning architects seeking to optimize, debug, monitor, and manage production-grade LangGraph environments. The curriculum is specifically designed for government

• Design and optimize complex LangGraph topologies for speed, cost, and scalability.
• Engineer reliability with 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.

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.

Devstral is an open-source framework engineered to facilitate the creation and execution of coding agents capable of interacting with code repositories, development tools, and application programming interfaces (APIs) to improve engineering efficiency.

This instructor-led live training, available online or on-site, targets intermediate to advanced machine learning engineers, developer tooling teams, and Site Reliability Engineers (SREs) seeking to design, implement, and optimize coding agents using Devstral for government applications.

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

• Establish and configure Devstral for coding agent development.
• Design agentic workflows for codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Course Format

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Customization Options

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

Devstral and Mistral represent open-source artificial intelligence frameworks engineered for adaptable deployment, targeted fine-tuning, and scalable system integration.

This instructor-led instructional program, available via online or onsite delivery, targets intermediate to advanced machine learning engineers, platform operations teams, and research specialists seeking to self-host, fine-tune, and manage the governance of Mistral and Devstral models within operational production environments for government applications.

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

• Deploy and configure self-hosted infrastructure for Mistral and Devstral architectures.
• Execute fine-tuning methodologies to optimize domain-specific performance metrics.
• Establish robust version control, monitoring protocols, and lifecycle governance frameworks.
• Assure security standards, regulatory compliance, and responsible utilization of open-source models.

Course Format

• Engaging lectures and structured discussion panels.
• Practical laboratory exercises focused on self-hosting and fine-tuning processes.
• Real-time implementation of governance and monitoring pipelines within a live lab environment.

Course Customization Options

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

This instructor-led, live training conducted at US (via online or onsite delivery) is designed for entry-level law enforcement officers seeking to modernize their practices by transitioning from traditional manual facial sketching to leveraging artificial intelligence (AI) technologies for facial recognition applications.

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

• Grasp the core principles of Artificial Intelligence and Machine Learning methodologies.
• Acquire foundational knowledge of digital image processing techniques and their specific utility in facial recognition workflows.
• Cultivate proficiency in utilizing AI tools and frameworks to construct facial recognition models tailored for government operations.
• Obtain practical experience in the development, training, and validation of facial recognition systems.
• Recognize ethical implications and adhere to established best practices governing the deployment of facial recognition technology.

Fiji is an open-source image processing environment based on ImageJ, specifically designed for rigorous scientific image analysis, with significant applications in biological research.

This instructor-led live training session, available online or on-site, is designed for researchers and laboratory professionals at the beginner to intermediate level who require proficiency in processing and analyzing images of histological tissues, blood cells, algae, and other biological specimens.

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

• Navigate the Fiji interface and utilize the core functions of ImageJ.
• Preprocess and enhance scientific imagery to improve analytical accuracy.
• Perform quantitative analysis of images, including cell counting and area measurement.
• Automate repetitive procedural tasks using macros and integrated plugins.
• Customize analytical workflows to address specific image analysis requirements for government biological research initiatives.

Course Structure

• Interactive instructional sessions and facilitated discussions.
• Comprehensive exercises and practical application activities.
• Hands-on implementation within a controlled live-lab environment.

Customization for Government Requirements

• To request a customized training curriculum aligned with specific operational needs for government, please contact the program administration to arrange details.

LangGraph provides a structured framework for developing state-preserving, multi-agent LLM applications as composable graphs, enabling persistent state management and precise control over execution flows.

This instructor-led live training, available in online or onsite formats, is designed for intermediate to advanced professionals seeking to design, implement, and operate LangGraph-based financial solutions with adherence to governance, observability, and compliance standards. This program delivers essential capabilities for government and public sector entities requiring robust, secure AI infrastructure.

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

• Develop finance-specific LangGraph workflows that align with regulatory mandates and audit requirements.
• Integrate financial data standards and ontologies into graph state architectures and tooling ecosystems.
• Establish reliability, safety protocols, and human-in-the-loop controls for critical operational processes.
• Deploy, monitor, and optimize LangGraph systems to ensure performance, cost-efficiency, and service level agreement (SLA) compliance.

Course Format

• Interactive lecture and group discussion.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a customized training program tailored to specific agency needs, please contact us for arrangement.

LangGraph provides a framework for developing graph-based large language model applications that facilitate planning, branching, tool integration, memory management, and controlled execution.

This instructor-led, live training program, available in online or onsite formats, targets entry-level developers, prompt engineers, and data practitioners seeking to design and implement reliable, multi-step LLM workflows using LangGraph. This curriculum is specifically structured for government

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

• Articulate fundamental LangGraph principles, including nodes, edges, and state, and identify appropriate use cases.
• Construct prompt chains capable of branching logic, tool invocation, and memory retention.
• Incorporate retrieval mechanisms and external application programming interfaces into graph-based workflows.
• Test, debug, and evaluate LangGraph applications to ensure reliability and safety.

Course Format

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

Customization Options

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

LangGraph facilitates stateful, multi-agent workflows driven by large language models, offering precise governance over execution pathways and data persistence. Within the healthcare sector, these technical capabilities are essential for ensuring regulatory compliance, system interoperability, and the development of clinical decision-support tools that integrate seamlessly with established medical protocols.

This instructor-led training, available in online or onsite formats, targets intermediate to advanced professionals seeking to architect, deploy, and govern LangGraph-based healthcare solutions. The curriculum addresses critical regulatory, ethical, and operational complexities inherent in public health infrastructure.

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

• Architect healthcare-specific LangGraph workflows that prioritize compliance documentation and audit trails.

• Integrate LangGraph applications with medical ontologies and industry standards, including FHIR, SNOMED CT, and ICD.

• Implement best practices for system reliability, traceability, and explainability within sensitive operational environments.

• Deploy, monitor, and validate LangGraph applications in healthcare production settings to ensure consistent performance.

Instructional Format

• Interactive lectures and structured discussions.

• Practical exercises utilizing real-world case studies.

• Implementation practice within a live-lab environment tailored for government.

Course Customization Options

• For agencies requiring customized training aligned with specific mandates, please contact the program office to arrange bespoke sessions.

LangGraph is an open-source framework designed for constructing stateful, multi-agent large language model applications through composable graphs that maintain persistent state and offer precise execution control.

This instructor-led training program, available in online or onsite formats, targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based legal solutions with rigorous compliance, traceability, and governance standards. The curriculum is specifically structured for government agencies requiring robust technical oversight and accountability mechanisms for AI-driven workflows.

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

• Design legal-specific LangGraph workflows that ensure auditability and regulatory compliance.
• Integrate legal ontologies and document standards into graph state management and processing logic.
• Implement protective guardrails, human-in-the-loop approval processes, and traceable decision pathways.
• Deploy, monitor, and maintain LangGraph services in production environments with enhanced observability and cost controls.

Course Format

• Interactive lectures and structured discussions.
• Extensive practical exercises and skill-building activities.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a customized training configuration for this course, please contact our team to arrange scheduling and specific requirements.

LangGraph provides a framework for constructing graph-structured workflows with large language models (LLMs) that facilitate branching logic, tool integration, memory management, and controlled execution flows.

This instructor-led live training, available online or onsite, targets intermediate-level engineers and product teams seeking to integrate LangGraph’s graph-based logic with LLM agent cycles. The curriculum supports the development of dynamic, context-aware applications, including customer service agents, decision trees, and information retrieval systems.

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

• Design graph-driven workflows that coordinate LLM agents, external tools, and memory components.
• Implement conditional routing, retry mechanisms, and fallback protocols to ensure robust execution.
• Integrate retrieval systems, APIs, and structured outputs into agent cycles.
• Evaluate, monitor, and secure agent behavior to enhance reliability and safety standards.

Format of the Course

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

Course Customization Options

• To request customized training tailored for government or enterprise requirements, please contact us to arrange.

LangGraph serves as a graph-based orchestration framework that facilitates conditional, multi-step workflows involving large language models (LLMs) and external tools, making it well-suited for automating and tailoring content production pipelines.

This instructor-led, live training session, available in online or onsite formats, targets intermediate-level marketing professionals, content strategists, and automation developers seeking to deploy dynamic, branching email campaigns and content generation systems using LangGraph. The curriculum is specifically designed for government applications.

Upon completion of this instruction, participants will demonstrate the ability to:

• Construct graph-structured workflows for content and email distribution that incorporate conditional logic.
• Integrate LLMs, application programming interfaces (APIs), and data repositories to enable automated personalization.
• Oversee state management, memory retention, and contextual continuity across complex, multi-step campaigns.
• Assess, monitor, and optimize workflow efficiency and delivery metrics.

Course Delivery Structure

• Interactive lectures coupled with collaborative group discussions.
• Practical laboratory exercises focused on implementing email workflows and content pipelines.
• Scenario-based training addressing personalization strategies, audience segmentation, and branching logic.

Training Customization Availability

• To arrange customized training for this course, please contact the program administrators to coordinate your requirements.

Le Chat Enterprise constitutes a secured, governable ChatOps framework that delivers adaptable conversational artificial intelligence to federal and civilian agencies. The platform supports role-based access control (RBAC), single sign-on (SSO), standardized connectors, and integration with established enterprise applications for government entities.

This instructor-led training, available via secure online channels or at designated federal facilities, targets intermediate professionals including product managers, IT leadership, solution engineers, and compliance officers responsible for deploying and governing Le Chat Enterprise within complex organizational infrastructures.

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

• Configure Le Chat Enterprise to meet rigorous security standards for government deployments.
• Implement RBAC, SSO, and compliance-driven access controls.
• Facilitate integration between Le Chat and existing enterprise applications and federal data repositories.
• Develop and operationalize governance and administrative procedures for government ChatOps operations.

Instructional Methodology

• Interactive instruction accompanied by technical discussion.
• Extensive practical exercises and scenario-based learning.
• Direct implementation experience within a live-lab environment designed for government training.

Curriculum Adaptation

• Agencies requiring specialized curriculum adjustments should contact the training coordination team to establish arrangements.

Mistral comprises a high-performance family of large language models designed to enable cost-effective production deployment at scale.

This instructor-led live training, available online or onsite, targets advanced-level infrastructure engineers, cloud architects, and MLOps leads seeking to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimum cost, including solutions specifically tailored for government.

Upon completion 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 operates as an open-source artificial intelligence platform, empowering teams to construct and embed conversational assistants within enterprise operations and customer engagement workflows.

This instructor-led session, available in online or onsite formats, targets product managers, full-stack developers, and integration engineers with beginner to intermediate proficiency. The curriculum focuses on designing, integrating, and operationalizing conversational assistants utilizing Mistral connectors and integration frameworks for government solutions.

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

• Connecting Mistral conversational models to enterprise and SaaS connectors.
• Implementing retrieval-augmented generation (RAG) to ensure accurate and grounded responses.
• Architecting user experience patterns for both internal and external chat interfaces.
• Deploying assistants into product workflows to address real-world operational requirements.

Course Format

• Interactive lectures and discussions.
• Practical integration exercises.
• Real-time lab development of conversational assistants.

Customization Options

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

This instructor-led, live training session, available in US via remote or on-site delivery, is designed for intermediate-level professionals seeking to leverage Vision Builder AI to design, implement, and optimize automated inspection systems for SMT (Surface-Mount Technology) processes. The curriculum provides comprehensive guidance for government agencies and other public sector entities requiring robust technical solutions for quality control.

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

• Establishing and configuring automated inspections using Vision Builder AI.
• Acquiring and preprocessing high-quality images for detailed analysis.
• Implementing logic-based decision-making protocols for defect detection and process validation.
• Generating inspection reports and optimizing system performance.