AI in Crisis Communication Management Training Course

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level professionals who wish to attract top international candidates with minimal effort.  

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

• Go From a Briefing Call to a SAM
• Design Modern and Catchy Job Descriptions
• Apply Employer Branding & EVP Strategies
• Post Single or Multiple Job Ads
• Receive a Tailored Long-List

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 on-site) is tailored for advanced-level AI platform engineers, DevOps professionals specializing in AI, and ML architects who aim to optimize, debug, monitor, and operate production-grade LangGraph systems.

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

• Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and ensure scalability.
• Engineer system reliability through 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 environments, and monitor SLAs and operational costs.

Course Format

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

Course Customization Options

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

Devstral is an open-source framework purpose-built for creating and operating coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.

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

Upon completing this training, participants will be able to:

• Configure and set up Devstral for coding agent development.
• Design agentic workflows for exploring and modifying codebases.
• Integrate coding agents with developer tools and APIs.
• Apply best practices for secure and efficient agent deployment.

Course Format

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

Customization Options

• To arrange a tailored version of this course, please contact us.

Devstral and Mistral are open-source AI technologies designed to enable flexible deployment, fine-tuning, and scalable integration.

This instructor-led live training, available online or onsite, targets intermediate to advanced machine learning engineers, platform teams, and research engineers who want to self-host, fine-tune, and govern Mistral and Devstral models in 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 processes.
• 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.

This instructor-led, live training in Uzbekistan (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 is a framework designed for constructing stateful, multi-actor LLM applications as composable graphs, featuring persistent state and precise control over execution flow.

This instructor-led, live training session (available online or onsite) targets intermediate to advanced professionals who aim to design, implement, and manage LangGraph-based financial solutions with appropriate governance, observability, and compliance.

Upon completing this training, participants will be able to:

• Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph state and tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to enhance performance, reduce costs, and meet SLAs.

Course Format

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

Course Customization Options

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

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

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

Upon completing this training, participants will be able to:

• Explain core LangGraph concepts (nodes, edges, state) and their appropriate use cases.
• Create prompt chains that branch, invoke tools, and maintain memory.
• Integrate retrieval mechanisms and external APIs into graph workflows.
• Test, debug, and evaluate LangGraph applications for reliability and safety.

Course Format

• Interactive lectures and guided discussions.
• Hands-on labs and code walkthroughs in a sandbox environment.
• Scenario-based exercises focused on design, testing, and evaluation.

Customization Options

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

LangGraph enables stateful, multi-actor workflows driven by large language models (LLMs), offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are essential for ensuring compliance, interoperability, and the development of decision-support systems that align with established medical workflows.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced-level professionals seeking to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.

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

• Design healthcare-specific LangGraph workflows with compliance and auditability as core priorities.
• Integrate LangGraph applications with medical ontologies and standards such as FHIR, SNOMED CT, and ICD.
• Apply best practices to ensure reliability, traceability, and explainability within sensitive healthcare environments.
• Deploy, monitor, and validate LangGraph applications in production healthcare settings.

Course Format

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

Course Customization Options

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

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 on-site) is tailored for intermediate to advanced professionals aiming to design, implement, and operate LangGraph-based legal solutions, ensuring robust compliance, traceability, and governance controls.

Upon completing this training, participants will be able to:

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

Course Format

• Interactive lectures and group discussions.
• Extensive hands-on exercises and practical sessions.
• Real-time implementation within a live-lab environment.

Course Customisation Options

• To request a customised version of this training, please contact us to arrange a session.

LangGraph is a framework designed for creating graph-structured LLM workflows that support branching, tool usage, memory management, and controlled execution.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level engineers and product teams who aim to integrate LangGraph's graph logic with LLM agent loops to develop dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.

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

• Design graph-based workflows that coordinate LLM agents, tools, and memory.
• Implement conditional routing, retries, and fallback mechanisms for robust execution.
• Integrate retrieval systems, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and strengthen agent behavior to ensure reliability and safety.

Course Format

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

Course Customization Options

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

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.

Overview

This five-day program is designed to help participants enhance their strategic thinking, planning, and management capabilities, covering the tactical and operational essentials required for successful execution in high-pressure environments. The course addresses critical challenges such as conflict resolution, change management, leadership qualities, and team motivation. By utilizing interactive case studies and industry-specific examples, attendees are encouraged to share their experiences and challenges, fostering the creation of practical, work-oriented solutions that can be immediately applied in their professional contexts.

The primary goal of this program is to empower executives with the ability to scan the business landscape, identify profitable opportunities, and formulate strategies to secure a competitive edge in an increasingly competitive market. Additionally, the program offers insights into leadership best practices and behaviors that strengthen executives' capacity to navigate the complexities and uncertainties associated with managing high-performing organizations.

Learning Objectives

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

• Identify the primary challenges faced by an organization;
• Articulate various approaches to organizational development planning;
• Analyze the current business environment and its impact on the organization;
• Evaluate resources both internal and external to the organization;
• Describe various approaches to strategy management and its integration into the business plan;
• Assess alternative development strategies to recommend the most suitable options for the firm;
• Apply a deeper understanding of strategic development plans;
• Objectively discuss the risks, benefits, and costs associated with implementing new strategies, including managing team conflict;
• Define approaches to managing identified risks;
• Analyze the potential positive and negative impacts on the firm resulting from the new strategy;
• Design policies, systems, and processes to successfully implement emerging strategic plans;
• Outline the key steps in change management.

Who Should Attend

• Product/Service Managers
• Newly appointed and established Managers and Team Leaders
• Heads of Operations
• Senior Bank Managers
• Human Resource Managers
• Operations Managers
• Marketing Managers

Methodology
The course features facilitated workshops supported by case studies derived from published real-life examples and practical experience. Attendees will have opportunities to work in small groups to synthesize ideas and strategies, applying the material within the context of their own organizations or departments. Open forum discussions will also play a crucial role in the learning process.

This course is designed for decision-makers whose primary objective is not to perform calculations or analyses themselves, but to understand these processes and identify which statistical methods are most relevant for an organization's strategic planning.

For instance, a prospective participant may need to decide how many samples to collect before determining whether to launch a product.

If you require a more comprehensive course that covers the fundamentals of statistical thinking, please consider our 5-day 'Statistics for Managers' training.

In this instructor-led, live training session Uzbekistan, we guide new managers through the fundamental concepts of strategic thinking, translating theory into practice through task-based activities derived from real-life cases. Participants have the unique opportunity to learn new modes of thought, implement key concepts to resolve challenges, reflect on the relevance of these principles to their professional roles, and exchange perspectives with the instructor and classmates.

This training course has been developed for investors, business owners, directors, managers, executives, and analysts who need to build practical strategic planning capabilities. It is not intended for academic study but to help you begin turning your goals into reality today.

The course concentrates on strategic planning for businesses where flexibility and continuous learning are paramount. The primary focus is on corporate and investment strategy, illustrated through current real-world examples. Every participant will have the opportunity to develop a strategic plan and learn how to apply it effectively in practice.