AI in Crisis Communication Management Training Course

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level / intermediate-level / 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 constructing stateful, multi-actor LLM applications using composable graphs that maintain persistent state and offer control over execution.

This instructor-led, live training (available both online and onsite) is targeted at advanced-level AI platform engineers, DevOps for AI, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.

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

• Design and optimize complex LangGraph topologies for improved speed, cost efficiency, and scalability.
• Ensure reliability through techniques such as retries, timeouts, idempotency, and checkpoint-based recovery.
• Effectively debug and trace graph executions, inspect state, and systematically reproduce issues encountered in production environments.
• Instrument graphs with logs, metrics, and traces, deploy them to production, and monitor SLAs and costs.

Format of the Course

• Interactive lectures and discussions.
• Ample exercises and hands-on practice.
• Practical 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 designed to build and run coding agents that can interact with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led, live training (available both online and on-site) is targeted at intermediate to advanced ML engineers, developer-tooling teams, and SREs who want to design, implement, and optimize coding agents using Devstral.

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

• Set up and configure Devstral for developing coding agents.
• Create agentic workflows for exploring and modifying codebases.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Format of the Course

• Interactive lectures and discussions.
• Plenty of exercises and practice sessions.
• 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 and Mistral models are open-source AI technologies designed for flexible deployment, fine-tuning, and scalable integration.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced ML engineers, platform teams, and research engineers who want to self-host, fine-tune, and manage Mistral and Devstral models in production environments.

By the end of 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 performance for specific domains.
• Implement versioning, monitoring, and lifecycle governance practices.
• Ensure security, compliance, and responsible use of open-source models.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises in self-hosting and fine-tuning.
• Live-lab implementation of governance and monitoring pipelines.

Course Customization Options

• To request a 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 through composable graphs that maintain persistent state and provide control over execution.

This instructor-led, live training (available both online and onsite) is tailored for intermediate to advanced professionals who aim to design, implement, and manage LangGraph-based financial solutions with proper governance, observability, and compliance.

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

• Create finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Incorporate 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 ensure performance, cost efficiency, and service level agreements (SLAs).

Format of the Course

• Interactive lectures and discussions.
• Plenty of exercises and practical sessions.
• 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 is a framework designed for creating graph-structured LLM applications that support planning, branching, tool integration, memory management, and controlled execution.

This instructor-led, live training (available online or on-site) is tailored for beginner-level developers, prompt engineers, and data professionals who aim to design and build reliable, multi-step LLM workflows using LangGraph.

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

• Understand key LangGraph concepts such as nodes, edges, and state, and know when to apply them.
• Create prompt chains that can branch out, call external tools, and maintain a memory state.
• Incorporate retrieval mechanisms and external APIs into graph-based workflows.
• Test, debug, and assess LangGraph applications for reliability and safety.

Format of the Course

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

Course Customization Options

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

LangGraph facilitates stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these features are essential for compliance, interoperability, and developing decision-support systems that align with medical processes.

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

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

• Create healthcare-specific LangGraph workflows with a 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 in sensitive environments.
• Deploy, monitor, and validate LangGraph applications in healthcare production settings.

Format of the Course

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

Course Customization Options

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

LangGraph is a framework designed for constructing stateful, multi-actor LLM applications through composable graphs that maintain persistent state and offer precise control over execution.

This instructor-led, live training (conducted online or on-site) targets intermediate to advanced professionals who aim to design, implement, and manage 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 ensure auditability and compliance.
• Integrate legal ontologies and document standards into the graph state and processing.
• Implement safeguards, 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 lectures and discussions.
• Numerous exercises and practice sessions.
• 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 is a framework designed to create graph-structured workflows for LLMs, enabling branching, tool usage, memory management, and controllable execution.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level engineers and product teams who want 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 effectively coordinate LLM agents, tools, and memory.
• Implement conditional routing, retries, and fallback mechanisms for robust execution.
• Integrate retrieval processes, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and enhance the reliability and safety of agent behavior.

Format of the Course

• 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 for this course, please contact us to arrange.

LangGraph is a graph-based orchestration framework that facilitates conditional, multi-step workflows involving LLMs and tools, making it ideal for automating and personalizing content pipelines.

This instructor-led, live training (available online or on-site) is designed for intermediate-level marketers, content strategists, and automation developers who want 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 incorporating conditional logic.
• Integrate LLMs, APIs, and data sources for automated personalization.
• Manage state, memory, and context throughout multi-step campaigns.
• Evaluate, monitor, and optimize the performance and delivery outcomes of workflows.

Format of the Course

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

Course Customization Options

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

Overview

This 5-day course is designed to help participants enhance their strategic thinking, planning, and management skills, including the tactical and operational requirements for successful implementation in high-stakes environments. The course will address challenging topics such as conflict resolution, change management, leadership qualities, and team motivation. Through interactive case studies and sector-specific examples, participants will be encouraged to share their experiences and challenges to develop practical, work-focused solutions that they can apply back at their organizations.

The primary goal of the program is to equip executives with the skills to analyze the business environment to identify profitable opportunities and devise strategies for gaining a competitive edge in an increasingly competitive market. Additionally, the program will provide insights into best practices and behaviors in leadership that will enhance the capacity of executives to navigate the complexities and uncertainties of managing high-performance organizations.

Learning Objectives

After completing this course, participants will be able to:

• Describe the main challenges faced by an organization;
• Explain various approaches to organizational development planning;
• Analyze the current business environment and its impact on the organization;
• Assess internal and external resources available to the organization;
• Explain different methods for managing strategy and their role in the business plan;
• Evaluate alternative development strategies to recommend those best suited to the organization's needs;
• Gain a deeper understanding of strategic development plans;
• Objectively discuss the risks, benefits, and costs associated with implementing new strategies, including managing team conflicts;
• Define approaches to managing identified risks;
• Analyze the potential positive and negative impacts on their organization from implementing a new strategy;
• Design policies, systems, and processes to effectively implement emerging strategic plans;
• Understand 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 includes facilitated workshops, complemented by case studies drawn from real-life examples and practical experiences. Participants will have the opportunity to work in small groups to synthesize ideas and strategies and apply the material in the context of their own organizations or departments. Open forum discussions will also be a key component of the learning process.

This course has been designed for decision makers whose primary objective is not to perform calculations and analyses but to understand them and be capable of selecting the appropriate statistical methods for strategic planning within the organization.

For instance, a potential participant might need to decide how many samples should be collected before determining whether to launch a product or not.

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

In this instructor-led, live training in Uzbekistan, we walk new managers through the most important concepts of strategic thinking, putting theory into practice through task-based activities based on real-life cases. Participants get a unique opportunity to learn new ways of thinking, implement key concepts to solve problems, reflect on how these principles apply to their own work, and listen to and share their own perspectives with their instructor and class peers.

This training program is tailored for investors, business proprietors, directors, managers, executives, and analysts aiming to enhance their strategic planning abilities. It's geared towards practical application rather than academic study, enabling you to start achieving your goals immediately.

The curriculum centers on the strategic planning process for enterprises, highlighting adaptability and ongoing education as key components. The primary focus is on corporate and investment strategies, supported by contemporary real-world illustrations. Participants will gain hands-on experience in crafting a strategic plan and understanding its practical implementation.