Online Natural Language Processing (NLP) Training in Uzbekistan

Ollama is a lightweight platform designed for running large language models locally.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level finance professionals and IT personnel who aim to implement, customize, and operationalize AI solutions based on Ollama within financial environments.

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

• Deploy and configure Ollama to ensure secure use in financial operations.
• Integrate local language models into analytical and reporting workflows.
• Adapt models to finance-specific terminology and tasks.
• Implement best practices for security, privacy, and compliance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises with financial data.
• Live-lab implementation of finance-focused scenarios.

Course Customization Options

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

Ollama is a lightweight platform designed for running large language models locally.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level healthcare professionals and IT teams who aim to deploy, customize, and operationalize AI solutions based on Ollama within clinical and administrative settings.

After completing this training, participants will be able to:

• Install and configure Ollama for secure use in healthcare environments.
• Integrate local large language models into clinical workflows and administrative processes.
• Customize models to suit healthcare-specific terminology and tasks.
• Implement best practices for privacy, security, and regulatory compliance.

Format of the Course

• Interactive lectures and discussions.
• Hands-on demonstrations and guided exercises.
• Practical implementation in a simulated healthcare environment.

Course Customization Options

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

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

This instructor-led, live training (available online or on-site) is targeted at intermediate to advanced professionals who aim to implement fairness, transparency, and accountability in applications powered by Ollama.

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

• Apply responsible AI principles in their Ollama deployments.
• Implement strategies for content filtering and bias mitigation.
• Design governance workflows that ensure AI alignment and auditability.
• Set up monitoring and reporting frameworks to meet compliance requirements.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs for designing governance workflows.
• Case studies and exercises focused on compliance.

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) is tailored for intermediate to advanced 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 using Mistral models for enterprise and developer scenarios.
• Integrate coding systems, connectors, and enterprise data into agent workflows.
• Optimize the performance, cost, and compliance of Mistral-powered agents.

Format of the Course

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

Course Customization Options

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

Ollama is a platform designed to enable the local execution of large language and multimodal models while ensuring secure deployment practices.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level professionals who aim to deploy Ollama with robust data privacy and regulatory compliance measures.

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

• Deploy Ollama securely in both containerized and on-premises environments.
• Apply differential privacy methods to protect sensitive information.
• Implement secure logging, monitoring, and auditing procedures.
• Ensure data access control that aligns with compliance requirements.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs focusing on secure deployment strategies.
• Case studies and practical exercises centered on compliance.

Course Customization Options

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

Claude AI is an advanced language model designed to support complex analytical, strategic, and organizational tasks.

This instructor-led, live training (online or onsite) is aimed at beginner-level project management and planning professionals who wish to leverage Claude AI to enhance project design, documentation, communication, and long-term planning activities.

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

• Create project documentation such as charters, briefs, and scopes using Claude AI.
• Analyze risks, constraints, and dependencies with AI-supported reasoning.
• Develop stakeholder communications and reporting outputs tailored to different audiences.
• Use Claude AI to support sprint planning, prioritization, and roadmap refinement.

Format of the Course

• Instructor explanations combined with guided demonstrations.
• Hands-on practice using real-world project management scenarios.
• Structured exercises applying Claude AI in a live environment.

Course Customization Options

• Custom scenarios, organization-specific templates, or industry-focused workflows can be integrated upon request.

Mistral AI is an open artificial intelligence platform that allows teams to develop and integrate conversational assistants into both internal and customer-facing processes.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate level product managers, full-stack developers, and integration engineers who are interested in designing, integrating, and commercializing conversational assistants using Mistral connectors and integrations.

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

• Integrate Mistral's conversational models with enterprise and SaaS connectors.
• Implement retrieval-augmented generation (RAG) to provide contextually accurate responses.
• Create user experience patterns for both internal and external chat assistants.
• Deploy conversational assistants into real-world product workflows.

Format of the Course

• Interactive lectures and discussions.
• Practical integration exercises.
• Live development sessions for creating conversational assistants.

Course Customization Options

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

Ollama is a platform that enables the local execution of large language and multimodal models.

This instructor-led, live training (conducted online or onsite) is designed for intermediate-level practitioners who aim to master prompt engineering techniques to optimize Ollama's outputs.

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

• Create effective prompts for a variety of use cases.
• Utilize techniques such as priming and chain-of-thought structuring.
• Implement prompt templates and context management strategies.
• Develop multi-stage prompting pipelines for complex workflows.

Format of the Course

• Interactive lecture and discussion sessions.
• Practical exercises focused on prompt design.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Claude AI is a generative artificial intelligence system designed to assist with reasoning, content generation, knowledge retrieval, and workflow automation.

This instructor-led, live training (available online or on-site) is aimed at beginner-level professionals who want to apply Claude AI to customer support and service operations tasks.

Upon completing this program, learners will be able to:

• Use Claude to speed up support triage and classification.
• Generate tone-consistent customer responses and summaries.
• Automate ticket drafting and knowledge retrieval processes.
• Integrate Claude into existing customer support workflows.

Format of the Course

• Guided lectures with real-world support scenarios.
• Practical exercises based on enterprise service cases.
• Hands-on use of Claude in a simulated support environment.

Course Customization Options

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

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.

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

This instructor-led, live training (available online or on-site) is designed for intermediate-level compliance leads, security architects, and legal/operations stakeholders who want to implement responsible AI practices using 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 their Mistral deployments.
• Apply data residency strategies to comply with regulatory requirements.
• Set up enterprise-grade controls such as Role-Based Access Control (RBAC), Single Sign-On (SSO), and audit logs.
• Evaluate vendor and deployment options for alignment with compliance standards.

Format of the Course

• Interactive lectures and discussions.
• 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 designed for running large language and multimodal models locally and at scale.

This instructor-led, live training (conducted online or on-site) is targeted at intermediate to advanced engineers who want to scale Ollama deployments in multi-user, high-throughput, and cost-efficient environments.

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

• Set up Ollama for multi-user and distributed workloads.
• Optimize the allocation of GPU and CPU resources.
• Implement strategies for autoscaling, batching, and reducing latency.
• Monitor and optimize infrastructure to enhance performance and cost efficiency.

Format of the Course

• Interactive lectures and discussions.
• Practical deployment and scaling labs.
• Real-world 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 robust tools for deploying and optimizing real-time AI applications in computer vision and natural language processing, particularly on Huawei Ascend hardware.

This instructor-led, live training (available both online and onsite) is designed for intermediate-level AI practitioners who aim to build, deploy, and optimize vision and language models using the CANN SDK for production scenarios.

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

• Deploy and optimize computer vision (CV) and natural language processing (NLP) models using CANN and AscendCL.
• Utilize CANN tools for model conversion and integration into live pipelines.
• Enhance inference performance for tasks such as detection, classification, and sentiment analysis.
• Construct real-time CV/NLP pipelines suitable for edge or cloud-based deployment scenarios.

Format of the Course

• Interactive lecture with demonstrations.
• Hands-on lab sessions focusing on model deployment and performance profiling.
• Live pipeline design using practical CV and NLP use cases.

Course Customization Options

• For a customized training session tailored to your specific needs, please contact us to arrange.

Claude AI is an advanced language and reasoning system that supports structured data tasks, analytical workflows, and business intelligence enhancement.

This instructor-led, live training (online or onsite) is designed for professionals at beginner to intermediate levels who want to use Claude to speed up data analysis, generate insights, and streamline BI processes.

After completing this training, participants will be able to:

• Utilize Claude for conducting ad-hoc exploratory data analysis.
• Generate SQL queries, summaries, and transformations using natural language prompts.
• Use Claude to design dashboards, KPIs, and analytical views more efficiently.
• Interpret business data with greater accuracy through structured AI-assisted reasoning.

Format of the Course

• Instructor-led demonstrations and guided discussions.
• Hands-on exercises using real-world business datasets.
• Practical application of Claude in BI-focused scenarios.

Course Customization Options

• If customization is needed to align with your internal BI tools or workflows, please contact us to arrange a tailored version of this course.

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.

Ollama is a platform that facilitates the local execution and fine-tuning of large language and multimodal models.

This instructor-led, live training (available online or on-site) is designed for advanced ML engineers, AI researchers, and product developers who aim to build and deploy multimodal applications using 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 practical applications.
• Create systems for document understanding and visual question answering (QA).
• Develop multimodal agents capable of reasoning across different types of data.

Format of the Course

• Interactive lectures and discussions.
• 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 now support multimodal workflows, enabling both language and vision tasks for enterprise and research applications.

This instructor-led, live training (available online or on-site) is designed for intermediate-level ML researchers, applied engineers, and product teams who want to develop multimodal applications using 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 tailored for enterprise use cases.
• Develop vision-text search and assistive UI functionalities.

Format of the Course

• Interactive lectures and discussions.
• Hands-on coding exercises.
• Live implementation of multimodal pipelines in a lab environment.

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 intermediate-level data scientists and developers who wish to apply 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 an in-depth course designed to help participants diagnose, test, and measure the behavior of models when deployed locally or privately using Ollama.

This instructor-led, live training (available online or onsite) targets advanced-level AI engineers, ML Ops professionals, and QA practitioners who aim to ensure the reliability, accuracy, 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 models hosted on Ollama and reliably reproduce failure scenarios.
• Create and execute robust evaluation pipelines using both quantitative and qualitative metrics.
• Implement observability features such as logs, traces, and metrics to monitor model health and detect drift.
• Integrate automated testing, validation, and regression checks into CI/CD pipelines.

Format of the Course

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

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 intermediate-level researchers, analysts, and knowledge workers who want to leverage Claude AI for processing large amounts of data, synthesizing information, and automating research tasks.

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

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

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.

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 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.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level 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 with AI-assisted editing and proofreading.
• Generate summaries for long-form content and reports.
• Automate marketing copy creation for different platforms.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at advanced-level professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications.

By the end 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.
• Optimize AI models for performance, accuracy, and efficiency.
• Deploy customized models in production environments.
• Evaluate model improvements and ensure robustness.

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

This instructor-led, live training (available online or on-site) is targeted at advanced-level infrastructure engineers, cloud architects, and MLOps leads who aim to design, deploy, and optimize Mistral-based architectures to achieve maximum throughput with minimal costs.

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 levels.
• Design production-ready serving topologies for enterprise workloads.

Format of the Course

• Interactive lectures and discussions.
• Extensive 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.

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.
• Optimize 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 aimed at intermediate-level software developers and AI engineers who wish to integrate Claude AI into their applications, build AI-powered chatbots, and enhance software functionality with 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 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.

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

This instructor-led, live training (available online or on-site) is targeted at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who are looking to deploy, configure, and manage Le Chat Enterprise in enterprise settings.

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 lectures and discussions.
• Extensive 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 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.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at 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:

• Use Claude AI for automating repetitive tasks and streamlining workflows.
• Enhance personal and team productivity using AI-powered automation.
• Integrate Claude AI with existing business tools and platforms.
• Optimize 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.

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.

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 (online or onsite) is aimed at data scientists, machine learning engineers, NLP researchers, and AI enthusiasts who wish to understand the inner workings of GPT models, explore the capabilities of GPT-3 and GPT-4, and learn how to leverage these models for their NLP tasks.

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

• Understand the key concepts and principles behind Generative Pre-trained Transformers.
• Comprehend the architecture and training process of GPT models.
• Utilize GPT-3 for tasks such as text generation, completion, and translation.
• Explore the latest advancements in GPT-4 and its potential applications.
• Apply GPT models to their own NLP projects and tasks.

This instructor-led, live training in Uzbekistan (online or onsite) 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 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.

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

This instructor-led, live training (available online or on-site) is targeted at intermediate to advanced AI/ML engineers, platform architects, and MLOps teams who aim to deploy, optimize, and secure Mistral Medium 3 for enterprise applications.

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

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

Format of the Course

• Interactive lectures and discussions.
• A wide range 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.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.

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

• Understand the fundamentals of Ollama and its capabilities.
• Set up Ollama for running local AI models.
• Deploy and interact with LLMs using Ollama.
• Optimize performance and resource usage for AI workloads.
• Explore use cases for local AI deployment in various industries.

It is estimated that unstructured data makes up more than 90 percent of all data, with a significant portion being text. Blog posts, tweets, social media content, and other digital publications continuously contribute to this expanding body of data.

This instructor-led, live course focuses on extracting insights and meaning from this vast amount of data. By using the R Language and Natural Language Processing (NLP) libraries, we integrate concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples can be provided in various languages according to customer requirements.

By the end of this training, participants will be able to prepare data sets, both large and small, from diverse sources, and then apply the appropriate algorithms to analyze and report on their significance.

Format of the Course

• Combination of lectures, discussions, extensive hands-on practice, and occasional tests to assess understanding

This course has been designed for managers, solutions architects, innovation officers, CTOs, software architects, and anyone else who is keen to gain an understanding of applied artificial intelligence and the near-term outlook for its advancement.

AI is a suite of technologies designed to create intelligent systems that can interpret data and the activities around it to make "smart decisions". For Telecom providers, developing applications and services that leverage AI can significantly enhance operations and service delivery in areas such as maintenance and network optimization.

In this course, we delve into the various components of AI and the skills necessary to implement them effectively. We will explore specific AI applications within the Telecom industry throughout the course.

Audience

• Network engineers
• Network operations personnel
• Telecom technical managers

Format of the course

• Combination of lectures, discussions, and hands-on exercises

This course is designed for developers and data scientists who are interested in understanding and implementing artificial intelligence within their applications. It places a special emphasis on data analysis, distributed AI, and natural language processing.

ChatBots are computer programs designed to automatically mimic human responses through chat interfaces. These programs enhance organizational efficiency by offering users faster and more convenient interaction options.

In this instructor-led, live training, participants will learn how to develop chatbots using Python.

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

• Grasp the foundational concepts of building chatbots
• Create, test, deploy, and troubleshoot various chatbots using Python

Audience

• Developers

Format of the course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

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

In this instructor-led, live training in Uzbekistan, participants will learn to use Python libraries for NLP as they create an application that processes a set of pictures and generates captions. 

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

• Design and code DL for NLP using Python libraries.
• Create Python code that reads a substantially huge collection of pictures and generates keywords.
• Create Python Code that generates captions from the detected keywords.

This classroom-based training session will delve into NLP techniques alongside the practical application of AI and Robotics in business. Participants will engage in computer-based exercises and case studies, utilizing Python to solve real-world problems.

This instructor-led, live training (online or onsite) is designed for developers and data scientists who want to utilize spaCy to process vast amounts of text to uncover patterns and gain insights.

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

• Install and configure spaCy.
• Understand spaCy’s approach to Natural Language Processing (NLP).
• Extract patterns and derive business insights from large-scale data sources.
• Integrate the spaCy library with existing web and legacy applications.
• Deploy spaCy in live production environments to predict human behavior.
• Use spaCy to pre-process text for deep learning.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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.
• To learn more about spaCy, visit: https://spacy.io/

In Python Machine Learning, the Text Summarization feature can read input text and generate a concise summary. This functionality is accessible both from the command-line and as a Python API or library. One notable application is the quick creation of executive summaries, which is especially beneficial for organizations that need to review extensive amounts of text data before preparing reports and presentations.

During this instructor-led, live training, participants will learn how to use Python to develop a simple application that automatically generates a summary from input text.

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

• Utilize a command-line tool for summarizing text.
• Design and implement Text Summarization code using Python libraries.
• Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17

Audience

• Developers
• Data Scientists

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

TensorFlow™ is an open-source software library designed for numerical computation using data flow graphs.

SyntaxNet is a neural-network framework for Natural Language Processing built on TensorFlow.

Word2Vec is a technique used to learn vector representations of words, known as "word embeddings." Word2vec is particularly efficient at learning these embeddings from raw text and comes in two variations: the Continuous Bag-of-Words model (CBOW) and the Skip-Gram model (as described in Chapter 3.1 and 3.2 of Mikolov et al.).

When used together, SyntaxNet and Word2Vec enable users to generate Learned Embedding models from natural language input.

Audience

This course is aimed at developers and engineers who plan to work with SyntaxNet and Word2Vec models within their TensorFlow graphs.

After completing this course, participants will:

• understand the structure and deployment mechanisms of TensorFlow
• be able to perform installation, production environment setup, architecture tasks, and configuration
• be able to evaluate code quality, perform debugging, and monitoring
• be capable of implementing advanced production tasks such as training models, embedding terms, building graphs, and logging