Online Natural Language Processing (NLP) Training in Uzbekistan

This live, instructor-led course in Uzbekistan empowers finance practitioners and IT staff with the skills to deploy Ollama locally. Participants will learn to install, configure, and integrate large language models into secure financial workflows, while adhering to compliance and automation best practices.

This live training in Uzbekistan empowers healthcare practitioners and IT teams to deploy Ollama for local LLM utilization. Participants will learn to integrate AI into clinical workflows, customize models for specific tasks, and uphold strict data privacy and regulatory compliance standards within secure healthcare settings.

This live, instructor-led session on Uzbekistan empowers beginners to effectively deploy Claude AI in customer support and service operations. Participants will master the automation of triage, the creation of tone-aligned responses, and the integration of AI into existing workflows through engaging, hands-on exercises.

This live Claude AI training session in Uzbekistan empowers professionals to utilize the platform for data analysis and BI tasks. It explores exploratory data analysis, SQL generation, and dashboard design through natural language prompting, with the goal of streamlining workflows and enhancing the extraction of insights from business data.

This instructor-led live training in Uzbekistan (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.

This instructor-led, live training in Uzbekistan (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.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (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.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (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.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (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.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (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 Uzbekistan (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.

A two-day program designed for developers who already utilize AI coding tools like Cursor, Claude Code, or Copilot. The curriculum focuses on delegating comprehensive tasks to agents, constructing the personalization stack (Rules, AGENTS.md, Skills, MCP, Agents), establishing and building MCP servers, executing agents in parallel, and implementing a structured agentic workflow. The content is tool-agnostic and builds upon the Foundations course.

This two-day course serves as an introduction to AI-assisted software development, designed for individuals new to these tools, including those with minimal or no coding background. Participants will learn how these tools function, how to effectively guide them using prompts, and how to apply them to routine tasks such as building a small project from the ground up, working within an existing codebase, and reviewing outputs. The curriculum is tool-agnostic, making it applicable to platforms like Cursor, Claude Code, Copilot, and similar solutions. This course serves as a prerequisite for the Agentic AI Development: Advanced Workflows course.

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.

This course provides AI technology training in Uzbekistan, covering data analysis, distributed machine learning, and natural language processing to assist developers in building large-scale intelligent systems. It explores practical methods for Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, helping professionals transform raw data into automated decision-making pipelines ready for production deployment, thereby comprehensively enhancing their core capabilities in building intelligent systems.

This two-day programme equips finance teams with the skills to integrate AI and Claude into their daily operations. The emphasis is placed on practical application rather than theoretical concepts, guiding finance professionals on how to leverage Claude responsibly for analysis, reconciliation support, reporting, documentation, stakeholder communication, and workflow optimization.

This programme is tailored for investment, finance, and analyst teams aiming to leverage Claude more effectively within their daily operations, including financial modelling, forecasting, investment analysis, comprehensive document reviews, model commentary, and creating presentation-ready materials.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at senior leaders and executives who wish to harness Claude as a strategic business assistant to enhance decision-making, accelerate planning and build competitive advantage through AI-augmented leadership.

Ollama is an open-source utility designed for executing large language models locally on both consumer-grade and enterprise hardware. It simplifies complex tasks such as model quantization, GPU resource allocation, and API deployment into a single command-line interface. This allows organizations to self-host prominent LLMs like Llama, Mistral, and Qwen, ensuring that prompts and sensitive data are never sent to external providers like OpenAI, Anthropic, or Google.