CANN SDK for Computer Vision and NLP Pipelines Training Course

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

This instructor-led, live training session, available both online and onsite, is designed for advanced AI platform engineers, AI-focused DevOps professionals, and ML architects seeking to optimize, debug, monitor, and operate production-grade LangGraph systems.

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

• Designing and optimizing complex LangGraph topologies to enhance speed, reduce costs, and improve scalability.
• Building system reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debugging and tracing graph executions, inspecting state variables, and systematically reproducing issues encountered in production.
• Instrumenting graphs with logs, metrics, and traces; deploying to production environments; and monitoring SLAs and associated costs.

Course Format

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

Customization Options

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

Devstral is an open-source framework specifically crafted for the creation and operation of coding agents. These agents interact with codebases, developer tools, and APIs to significantly 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) who aim to design, implement, and optimize coding agents leveraging Devstral.

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

• Establish and configure Devstral for coding agent development.
• Design agentic workflows for exploring and modifying codebases.
• Integrate coding agents seamlessly with developer tools and APIs.
• Apply best practices for 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 arrange customized training for this course, please contact us.

Devstral and Mistral 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 machine learning 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 capable of:

• Setting up and configuring self-hosted environments for Mistral and Devstral models.
• Applying fine-tuning techniques to achieve domain-specific performance.
• Implementing versioning, monitoring, and lifecycle governance.
• Ensuring 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.

Customization Options

• To arrange customized training for this course, please contact us to make the necessary arrangements.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level law enforcement personnel who wish to transition from manual facial sketching to using AI tools for developing facial recognition systems.

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

• Understand the fundamentals of Artificial Intelligence and Machine Learning.
• Learn the basics of digital image processing and its application in facial recognition.
• Develop skills in using AI tools and frameworks to create facial recognition models.
• Gain hands-on experience in creating, training, and testing facial recognition systems.
• Understand ethical considerations and best practices in the use of facial recognition technology.

Fiji is a powerful open-source image processing suite that combines ImageJ (a program designed for scientific multidimensional images) with a comprehensive suite of plugins for scientific image analysis.

In this instructor-led, live training, participants will learn how to leverage the Fiji distribution and its underlying ImageJ program to create robust image analysis applications.

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

• Utilize Fiji's advanced programming features and software components to extend ImageJ capabilities
• Assemble large 3D images from overlapping tiles
• Automate the update of a Fiji installation upon startup using the integrated update system
• Choose from a wide range of scripting languages to develop custom image analysis solutions
• Utilize Fiji's robust libraries, such as ImgLib, to process large bioimage datasets efficiently
• Deploy applications and collaborate effectively with other scientists on similar projects

Format of the Course

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

Course Customization Options

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

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 developing stateful, multi-agent LLM applications through composable graphs, offering persistent state management and precise execution control.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions that adhere to strict governance, observability, and compliance standards.

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

• Design LangGraph workflows tailored to financial sectors, ensuring alignment with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph states and supporting tools.
• Implement robust reliability, safety mechanisms, and human-in-the-loop controls for critical operations.
• Deploy, monitor, and optimize LangGraph systems to meet performance, cost, and Service Level Agreement (SLA) targets.

Course Format

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

Customization Options

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

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

This instructor-led, live training (available online or on-site) is tailored for beginner-level developers, prompt engineers, and data professionals seeking to design and implement reliable, 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 identify appropriate use cases for each.
• Develop prompt chains that support branching, tool invocation, and memory retention.
• Integrate retrieval mechanisms and external APIs into graph-based workflows.
• Test, debug, and evaluate LangGraph applications to ensure reliability and safety.

Course Format

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

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 Large Language Models (LLMs), offering precise control over execution paths and state persistence. These capabilities are essential in the healthcare sector for ensuring compliance, enabling interoperability, and developing decision-support systems that seamlessly align with medical workflows.

This instructor-led training, available online or onsite, is designed for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational challenges.

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

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

Course Format

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

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based legal solutions equipped with necessary compliance, traceability, and governance controls.

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

• Designing legal-specific LangGraph workflows that maintain auditability and compliance.
• Integrating legal ontologies and document standards into graph state and processing.
• Implementing guardrails, human-in-the-loop approvals, and traceable decision paths.
• Deploying, monitoring, and maintaining LangGraph services in production with observability and cost controls.

Course Format

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

Course Customization Options

• For customized training arrangements for this course, please contact us.

LangGraph serves as a framework designed for composing graph-structured workflows involving Large Language Models (LLMs). It supports branching logic, tool integration, memory management, and controllable execution paths.

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

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

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

Course Format

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

Customization Options

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

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

This live, instructor-led training, available both online and on-site, targets intermediate-level marketers, content strategists, and automation developers eager to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

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

• Design graph-structured workflows for content and email campaigns that incorporate conditional logic.
• Integrate LLMs, APIs, and various data sources to enable automated personalization.
• Effectively manage state, memory, and context throughout multi-step campaigns.
• Evaluate, monitor, and optimize workflow performance to improve delivery outcomes.

Course Format

• Interactive lectures paired with group discussions.
• Practical hands-on labs focused on implementing email workflows and content pipelines.
• Scenario-based exercises addressing personalization, segmentation, and branching logic.

Course Customization Options

• For organizations seeking tailored training, please reach out to us to arrange a customized session.

Le Chat Enterprise offers a secure, customizable, and governed conversational AI solution designed for organizational use, featuring support for RBAC, SSO, connectors, and enterprise app integrations.

This instructor-led live training (available online or onsite) is designed for 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.

This instructor-led, live training in the UAE (online or onsite) is aimed at software engineers who wish to program in Python with OpenCV 4 for deep learning.

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

• View, load, and classify images and videos using OpenCV 4.
• Implement deep learning in OpenCV 4 with TensorFlow and Keras.
• Run deep learning models and generate impactful reports from images and videos.

This instructor-led, live training in the UAE (online or onsite) is tailored for intermediate-level professionals who wish to use Vision Builder AI to design, implement, and optimize automated inspection systems for SMT (Surface-Mount Technology) processes.

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

• Set up and configure automated inspections using Vision Builder AI.
• Acquire and preprocess high-quality images for analysis.
• Implement logic-based decisions for defect detection and process validation.
• Generate inspection reports and optimize system performance.