Natural Language Processing (NLP) Training in Tashkent

Ollama serves as a lightweight platform designed for executing large language models on local devices.

This instructor-led live training, available both online and onsite, targets intermediate-level finance professionals and IT specialists aiming to implement, customize, and operationalize AI solutions based on Ollama within financial contexts.

Upon completion of this training, participants will acquire the necessary skills to:

• Deploy and configure Ollama to ensure secure usage in financial operations.
• Integrate local large language models into analytical and reporting workflows.
• Adapt models to meet finance-specific terminology and task requirements.
• Apply best practices for security, privacy, and regulatory compliance.

Course Format

• Interactive lectures and discussions.
• Practical exercises using financial data.
• Live laboratory implementation of finance-focused scenarios.

Customization Options

• For a customized training program tailored to your needs, please contact us to make arrangements.

Ollama serves as a streamlined platform for executing large language models directly on local infrastructure.

This instructor-led live training, available both online and onsite, targets intermediate-level healthcare professionals and IT teams looking to deploy, customize, and implement Ollama-based AI solutions within clinical and administrative settings.

Upon completing this training, participants will be able to:

• Install and configure Ollama to ensure secure usage in healthcare environments.
• Integrate local LLMs into clinical workflows and administrative processes.
• Customize models to accommodate healthcare-specific terminology and tasks.
• Apply best practices for privacy, security, and regulatory compliance.

Format of the Course

• Interactive lecture and discussion.
• Hands-on demonstrations and guided exercises.
• Practical implementation in a sandboxed healthcare simulation environment.

Course Customization Options

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

Ollama is a platform for running large language and multimodal models locally, supporting governance and responsible AI practices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to implement fairness, transparency, and accountability in Ollama-powered applications.

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

• Apply responsible AI principles in Ollama deployments.
• Implement content filtering and bias mitigation strategies.
• Design governance workflows for AI alignment and auditability.
• Establish monitoring and reporting frameworks for compliance.

Format of the Course

• Interactive lecture and discussion.
• Hands-on governance workflow design labs.
• Case studies and compliance-focused exercises.

Course Customization Options

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

This instructor-led, live training in Tashkent (online or on-site) is designed for advanced-level AI researchers and policymakers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when building AI solutions with LangChain.

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

• Identify key ethical issues in AI development with LangChain.
• Understand the impact of AI on society and decision-making processes.
• Develop strategies for building fair and transparent AI systems.
• Implement ethical AI guidelines into LangChain-based projects.

Mistral AI is a powerful family of open-source and enterprise-ready AI models designed for language, multimodal, and agentic applications.

This instructor-led, live training (available online or on-site) is tailored for intermediate to advanced-level professionals who aim to build, deploy, and manage AI agents using Mistral's Medium 3, Le Chat Enterprise, and Devstral models.

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

• Comprehend the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Design and implement AI agents that leverage Mistral models for enterprise and developer use cases.
• Integrate coding systems, connectors, and enterprise data into agent workflows.
• Optimize performance, cost efficiency, and compliance for Mistral-powered agents.

Course Format

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

Course Customization Options

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

Ollama is a platform that enables the local execution of large language and multimodal models while supporting secure deployment strategies.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals seeking to deploy Ollama with robust data privacy and regulatory compliance measures.

Upon completing this training, participants will be able to:

• Deploy Ollama securely within containerized and on-premises environments.
• Apply differential privacy techniques to protect sensitive data.
• Implement secure logging, monitoring, and auditing practices.
• Enforce data access controls that align with compliance requirements.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring secure deployment patterns.
• Compliance-focused case studies and practical exercises.

Customization Options

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

Claude AI is a sophisticated language model engineered to facilitate complex analytical, strategic, and organizational responsibilities.

This instructor-led live training, available either online or onsite, targets beginner-level project management and planning professionals who aim to leverage Claude AI to enhance project design, documentation, communication, and long-term strategic planning.

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

• Generate essential project documentation, including charters, briefs, and scopes, utilizing Claude AI.
• Analyze risks, constraints, and dependencies through AI-supported reasoning.
• Develop tailored stakeholder communications and reporting outputs suitable for diverse audiences.
• Utilize Claude AI to aid in sprint planning, prioritization tasks, and roadmap refinement.

Course Format

• A blend of instructor-led explanations and guided demonstrations.
• Practical, hands-on exercises using real-world project management scenarios.
• Structured activities that apply Claude AI in a live operational environment.

Customization Options

• Participants may request the integration of custom scenarios, organization-specific templates, or industry-focused workflows.

Mistral AI is an open artificial intelligence platform that empowers teams to construct and incorporate conversational assistants into both enterprise-internal and customer-facing operational workflows.

This instructor-led live training (available online or onsite) is tailored for beginner to intermediate-level product managers, full-stack developers, and integration engineers looking to design, integrate, and commercialize conversational assistants by leveraging Mistral connectors and integrations.

Upon completing this training, participants will be equipped to:

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

Course Format

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

Customization Options

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

Ollama is a platform that enables running large language and multimodal models locally.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to master prompt engineering techniques to optimize Ollama outputs.

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

• Design effective prompts for diverse use cases.
• Apply techniques such as priming and chain-of-thought structuring.
• Implement prompt templates and context management strategies.
• Build multi-stage prompting pipelines for complex workflows.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with prompt design.
• Practical 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 Tashkent (online or onsite) is designed for beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.

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

• Understand the basics of API integration with LangChain.
• Automate repetitive workflows using LangChain and Python.
• Utilize LangChain to connect various APIs for efficient business processes.
• Create and automate custom workflows using APIs and LangChain’s automation capabilities.

Claude AI is a generative AI system engineered to support reasoning, content creation, knowledge retrieval, and workflow automation.

This instructor-led, live training (available online or onsite) is designed for beginner-level professionals aiming to apply Claude AI to customer support and service operations tasks.

Upon completing this program, learners will be able to:

• Utilize Claude to expedite support triage and classification.
• Generate customer responses and summaries that maintain consistent tone.
• Automate processes for ticket drafting and knowledge retrieval.
• Integrate Claude into existing customer support workflows.

Course Format

• Guided lectures featuring real-world support scenarios.
• Practical exercises rooted in enterprise service cases.
• Hands-on application of Claude within a simulated support environment.

Course Customization Options

• If you require this course to be tailored to your organization’s support workflows, please contact us to discuss customization.

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.

Mistral AI is an open and enterprise-ready AI platform that provides features for secure, compliant, and responsible AI deployment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level compliance leads, security architects, and legal/ops stakeholders who wish to implement responsible AI practices with Mistral by leveraging privacy, data residency, and enterprise control mechanisms.

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

• Implement privacy-preserving techniques in Mistral deployments.
• Apply data residency strategies to meet regulatory requirements.
• Set up enterprise-grade controls such as RBAC, SSO, and audit logs.
• Evaluate vendor and deployment options for compliance alignment.

Format of the Course

• Interactive lecture and discussion.
• Compliance-focused case studies and exercises.
• Hands-on implementation of enterprise AI controls.

Course Customization Options

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

Ollama is a platform for running large language and multimodal models locally and at scale.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level engineers who wish to scale Ollama deployments for multi-user, high-throughput, and cost-efficient environments.

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

• Configure Ollama for multi-user and distributed workloads.
• Optimize GPU and CPU resource allocation.
• Implement autoscaling, batching, and latency reduction strategies.
• Monitor and optimize infrastructure for performance and cost efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on deployment and scaling labs.
• Practical optimization exercises in live environments.

Course Customization Options

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

The CANN SDK (Compute Architecture for Neural Networks) offers powerful deployment and optimisation tools for real-time AI applications in computer vision and natural language processing (NLP), particularly on Huawei Ascend hardware.

This instructor-led, live training (available online or on-site) is designed for intermediate-level AI practitioners who aim to build, deploy, and optimise vision and language models using the CANN SDK for production-grade use cases.

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

• Deploy and optimise computer vision (CV) and NLP models using CANN and AscendCL.
• Leverage CANN tools to convert models and integrate them into live pipelines.
• Optimise inference performance for tasks such as object detection, classification, and sentiment analysis.
• Construct real-time CV/NLP pipelines tailored for edge or cloud-based deployment scenarios.

Course Format

• Interactive lectures and demonstrations.
• Practical labs covering model deployment and performance profiling.
• Live pipeline design using real-world CV and NLP use cases.

Course Customisation Options

• To request a customised version of this course, please contact us to arrange the details.

Claude AI represents a sophisticated language and reasoning engine designed to support structured data operations, analytical workflows, and enhance business intelligence capabilities.

This instructor-led live training, available either online or in-person, is designed for professionals at the beginner to intermediate level who aim to utilize Claude to expedite data analysis, uncover actionable insights, and optimize business intelligence processes.

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

• Utilize Claude to conduct ad-hoc exploratory data analysis.
• Create SQL queries, summaries, and data transformations using natural language prompts.
• Leverage Claude to more efficiently design dashboards, define KPIs, and construct analytical views.
• Interpret business data with greater precision by employing structured AI-assisted reasoning.

Course Format

• Instructor-led demonstrations paired with guided discussions.
• Practical exercises utilizing real-world business datasets.
• Application of Claude within business intelligence-focused scenarios.

Customization Options

• Should you need the content tailored to align with your internal BI tools or specific workflows, please contact us to arrange a customized version of this course.

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.

Ollama is a platform that enables running and fine-tuning large language and multimodal models locally.

This instructor-led, live training (online or onsite) is aimed at advanced-level ML engineers, AI researchers, and product developers who wish to build and deploy multimodal applications with Ollama.

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

• Set up and run multimodal models with Ollama.
• Integrate text, image, and audio inputs for real-world applications.
• Build document understanding and visual QA systems.
• Develop multimodal agents capable of reasoning across modalities.

Format of the Course

• Interactive lecture and discussion.
• Hands-on practice with real multimodal datasets.
• Live-lab implementation of multimodal pipelines using Ollama.

Course Customization Options

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

Mistral models are open-source AI technologies that are now expanding into multimodal workflows, supporting both language and vision tasks for enterprise and research applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level ML researchers, applied engineers, and product teams who wish to build multimodal applications with Mistral models, including OCR and document understanding pipelines.

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

• Set up and configure Mistral models for multimodal tasks.
• Implement OCR workflows and integrate them with NLP pipelines.
• Design document understanding applications for enterprise use cases.
• Develop vision-text search and assistive UI functionalities.

Format of the Course

• Interactive lecture and discussion.
• Hands-on coding exercises.
• Live-lab implementation of multimodal pipelines.

Course Customization Options

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

This instructor-led live training in Tashkent (online or onsite) is designed for intermediate-level data scientists and developers interested in applying NLP techniques using Python in Google Colab.

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

• Understand the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Perform sentiment analysis using NLTK and SpaCy libraries.
• Work with text data using Google Colab for scalable and collaborative development.

Advanced Ollama Model Debugging & Evaluation is a comprehensive course dedicated to diagnosing, testing, and evaluating model behaviour in local or private Ollama deployments.

This instructor-led, live training (available online or on-site) is designed for advanced-level AI engineers, ML Ops professionals, and QA practitioners seeking to ensure the reliability, fidelity, and operational readiness of Ollama-based models in production environments.

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

• Conduct systematic debugging of Ollama-hosted models and reliably reproduce failure modes.
• Design and execute robust evaluation pipelines using both quantitative and qualitative metrics.
• Implement observability (logs, traces, metrics) to monitor model health and detect drift.
• Automate testing, validation, and regression checks integrated into CI/CD pipelines.

Course Format

• Interactive lectures and discussions.
• Hands-on labs and debugging exercises using Ollama deployments.
• Case studies, group troubleshooting sessions, and automation workshops.

Course Customisation Options

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

This instructor-led, live training in Tashkent (available online or on-site) is designed for intermediate-level researchers, analysts, and knowledge professionals seeking to harness Claude AI for processing vast datasets, synthesizing information, and automating research workflows.

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

• Utilize Claude AI for literature reviews and research synthesis.
• Summarize reports, research papers, and long-form documents.
• Extract key insights and trends from both structured and unstructured data.
• Integrate Claude AI seamlessly into research and knowledge management processes.

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.

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 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.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases.

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

• Understand the fundamentals of LangChain and its application in building conversational agents.
• Develop and deploy conversational agents using LangChain.
• Integrate conversational agents with APIs and external services.
• Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.

This instructor-led, live training in Tashkent (online or onsite) is designed for beginner to intermediate-level content creators, writers, and marketers who want to leverage Claude AI for content generation, editing, and summarization to enhance blogs, reports, and marketing materials.

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

• Use Claude AI for content brainstorming and idea expansion.
• Enhance writing through AI-assisted editing and proofreading.
• Generate summaries for long-form content and reports.
• Automate marketing copy creation for various platforms.

This instructor-led, live training in Tashkent (delivered either online or on-site) is designed for advanced-level professionals seeking to fine-tune and customise AI models on Ollama for improved performance and domain-specific applications.

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

• Set up an efficient environment for fine-tuning AI models on Ollama.
• Prepare datasets for supervised fine-tuning and reinforcement learning.
• Optimise AI models for performance, accuracy, and efficiency.
• Deploy customised models in production environments.
• Evaluate model improvements and ensure robustness.

Mistral is a high-performance family of large language models optimized for cost-effective production deployment at scale.

This instructor-led, live training (online or onsite) is aimed at advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimum cost.

By the end 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.

This instructor-led live training in Tashkent (online or onsite) targets developers and IT professionals of all levels who wish to automate tasks and processes using AI without extensive coding.

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

• Design and implement complex workflows using n8n's visual programming interface.
• Integrate AI capabilities into workflows using LangChain.
• Build custom chatbots and virtual assistants for various use cases.
• Perform advanced data analysis and processing with AI agents.

This instructor-led, live training in Tashkent (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.

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

• Deploy and configure Ollama for private AI processing.
• Integrate AI models into secure enterprise workflows.
• Optimise AI performance while maintaining data privacy.
• Automate business processes with on-premise AI capabilities.
• Ensure compliance with enterprise security and governance policies.

This instructor-led, live training in Tashkent (online or onsite) is designed for intermediate-level software developers and AI engineers who want to integrate Claude AI into their applications, create AI-powered chatbots, and improve software functionality using AI-driven automation.

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

• Use the Claude AI API to integrate AI into applications.
• Develop AI-driven chatbots and virtual assistants.
• Enhance applications with AI-powered automation and NLP.
• Optimize and fine-tune Claude AI models for different use cases.

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.

Le Chat Enterprise offers a secure, customizable, and governed conversational AI solution designed for organizations. It supports role-based access control (RBAC), single sign-on (SSO), connectors, and enterprise app integrations, ensuring private ChatOps capabilities.

This instructor-led live training (available online or onsite) targets intermediate-level product managers, IT leads, solution engineers, and security/compliance teams. Participants will learn to deploy, configure, and govern Le Chat Enterprise within enterprise environments.

Upon completion 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.

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.

This instructor-led, live training in Tashkent (online or onsite) is designed for beginner-level professionals who wish to integrate Claude AI into their daily workflows to improve efficiency and automation.

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

• Leverage Claude AI to automate repetitive tasks and streamline workflows.
• Boost personal and team productivity through AI-powered automation.
• Integrate Claude AI with existing business tools and platforms.
• Optimise AI-driven decision-making and task management.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.

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

• Set up and deploy LLMs using Ollama.
• Optimize AI models for performance and efficiency.
• Leverage GPU acceleration for improved inference speeds.
• Integrate Ollama into workflows and applications.
• Monitor and maintain AI model performance over time.

LangGraph is a framework designed for creating graph-structured workflows involving Large Language Models (LLMs). It facilitates branching, tool utilization, memory management, and controllable execution processes.

This instructor-led live training, available both online and onsite, targets intermediate-level engineers and product teams aiming to merge LangGraph’s graph logic with LLM agent loops. The goal is to develop dynamic, context-aware applications, including customer support agents, decision trees, and information retrieval systems.

Upon completing this training, participants will gain the ability to:

• Design graph-based workflows that effectively coordinate LLM agents, tools, and memory.
• Implement conditional routing, retry mechanisms, and fallback options to ensure robust execution.
• Integrate retrieval methods, 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 within a sandbox environment.
• Scenario-based design exercises and peer reviews.

Course Customization Options

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

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use LLMs to perform various NLP tasks and create novel and diverse content for different purposes.

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

• Establish a development environment with LLMs and essential tools.
• Expertly perform NLU and NLI tasks with LLMs.
• Extract, infer, and utilize knowledge graphs effectively.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate content quality and diversity generated by LLMs and generative AI.
• Apply ethical principles, ensuring fairness and responsible use of LLMs.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level professionals who wish to enhance their NLP projects through the effective fine-tuning of pre-trained language models.

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

• Understand the fundamentals of fine-tuning for NLP tasks.
• Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Optimize hyperparameters for improved model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led, live training in Tashkent (available online or on-site) is aimed at beginner-level business professionals, customer support teams, and tech enthusiasts who wish to understand the fundamentals of Claude AI and leverage it for business applications.

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

• Understand Claude AI's capabilities and use cases.
• Set up and interact with Claude AI effectively.
• Automate business workflows with conversational AI.
• Enhance customer engagement and support using AI-driven solutions.

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

This instructor-led live training (available online or onsite) is targeted at beginner-level developers, prompt engineers, and data practitioners who wish to design and build reliable, multi-step LLM workflows using LangGraph.

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

• Explain core LangGraph concepts (nodes, edges, state) and when to use them.
• Build prompt chains that branch, call tools, and maintain memory.
• Integrate retrieval and external APIs into graph workflows.
• Test, debug, and evaluate LangGraph apps for reliability and safety.

Format of the Course

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

Course Customization Options

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

Mistral Medium 3 is a high-performance, multimodal large language model designed for production-grade deployment across enterprise environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI/ML engineers, platform architects, and MLOps teams who wish to deploy, optimize, and secure Mistral Medium 3 for enterprise use cases.

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

• Deploy Mistral Medium 3 using API and self-hosted options.
• Optimize inference performance and costs.
• Implement multimodal use cases with Mistral Medium 3.
• Apply security and compliance best practices for enterprise environments.

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 Tashkent (online or onsite) is designed for beginner-level professionals who want to install, configure, and utilize Ollama to run AI models on their local machines.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Ollama and its capabilities.
• Configure Ollama for running local AI models.
• Deploy and interact with LLMs using Ollama.
• Enhance performance and optimize resource usage for AI workloads.
• Investigate use cases for local AI deployment across various industries.

Delving into the foundations of artificial intelligence reveals how smart technologies are transforming enterprise operations through digital strategy, automation, and enhanced decision-making. The course covers essential concepts such as the history of AI, problem-solving frameworks, knowledge representation, reasoning under uncertainty, and various machine learning approaches. It also explores capabilities related to communication, perception, and autonomous behavior. Designed for executives and architects, this program provides guidance on assessing AI-driven transformation opportunities, understanding emerging tech trends, and implementing practical intelligent solutions to boost business agility.

This two-part training programme is tailored for software delivery teams seeking to embed AI-assisted engineering workflows into their daily operations via Claude Code.

The artificial intelligence training covers Data Analysis, Distributed AI, and Natural Language Processing, aiming to provide developers and data scientists with application technologies to build large-scale AI systems. The course content includes distributed machine learning, Apache Spark MLlib, and core principles of prediction based on MapReduce, and deeply discusses practical methods for recommendation engines, text classification, semantic analysis using Word2Vec, and RNN-LSTM architectures. The course helps professionals deploy AI pipelines that are ready for production environments, transforming raw data into automated decision-making capabilities.

Claude Code goes beyond simple code completion; it is a terminal-native development agent that analyzes your codebase, plans multi-step modifications, executes tests, and transforms a single prompt into a fully working outcome. This one-day workshop provides participants with structured, practical experience in configuring Claude Code for real-world projects, crafting effective delegations to yield reviewable outputs, leveraging CLAUDE.md as persistent project memory, and integrating internal tools through the Model Context Protocol.

This instructor-led, live training in Tashkent (online or onsite) is aimed at software developers and engineering teams who wish to use Claude Code to accelerate development cycles, improve code quality, and automate repetitive programming tasks.

By the end of this training, participants will be able to install and configure Claude Code, edit multi-file codebases with natural language, leverage approval modes, and integrate with Git and CI/CD.

Natural Language Processing converts raw text into actionable insights, empowering machines to understand human communication. It explores core techniques such as corpus analysis, sentence structure parsing, text preprocessing pipelines, and dimensionality reduction using SVD and NMF methods. Participants will engage in practical implementations of document clustering, topic modeling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation with Python. The course prepares practitioners to develop intelligent text analytics systems for automated content classification and search.

Ollama is an open-source tool for running large language models locally on consumer and enterprise hardware. It abstracts model quantization, GPU allocation, and API serving into a single command-line interface, enabling organizations to self-host LLMs like Llama, Mistral, and Qwen without sending prompts or data to OpenAI, Anthropic, or Google.