Natural Language Processing (NLP) Training in Varna

Ollama serves as a lightweight platform designed for executing large language models locally.

This instructor-led, live training, available online or on-site, targets finance professionals and IT staff with intermediate expertise who aim to implement, customize, and operationalize Ollama-based AI solutions within financial settings.

Upon completing this training, participants will acquire the capabilities to:

• Deploy and configure Ollama to ensure secure usage in financial operations.
• Integrate local LLMs into analytical and reporting processes.
• Tailor models to meet finance-specific terminology and tasks.
• Apply best practices regarding security, privacy, and compliance.

Course Format

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

Customization Options for the Course

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

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level healthcare practitioners and IT teams who wish to deploy, customize, and operationalize Ollama-based AI solutions within clinical and administrative environments.

Upon completing this training, participants will be able to:

• Install and configure Ollama for secure use in healthcare settings.
• Integrate local LLMs into clinical workflows and administrative processes.
• Customize models for 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 serves as a platform for locally executing large language and multimodal models, while supporting governance and responsible AI practices.

This instructor-led, live training (available online or onsite) targets intermediate to advanced-level professionals who want to implement fairness, transparency, and accountability in applications powered by Ollama.

Upon completing this training, participants will be equipped 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 Varna (online or onsite) 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 constructing 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 offers a robust suite of open-source and enterprise-grade AI models designed for language, multimodal, and agentic applications.

This instructor-led training, available online or onsite, is tailored for intermediate to advanced professionals seeking to construct, deploy, and manage AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.

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

• Grasp the architecture and functionalities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Design and implement AI agents tailored for enterprise and developer scenarios using Mistral models.
• Seamlessly integrate coding systems, connectors, and enterprise data into agent workflows.
• Optimize the performance, cost efficiency, and compliance of Mistral-powered agents.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange a session.

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

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

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

• Deploy Ollama securely in containerized and on-premises environments.
• Apply differential privacy techniques to safeguard sensitive data.
• Implement secure logging, monitoring, and auditing practices.
• Enforce data access control aligned with compliance requirements.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with secure deployment patterns.
• Compliance-focused case studies and practical exercises.

Course Customization Options

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

Claude AI is an advanced language model engineered to assist with complex analytical, strategic, and organizational challenges.

This instructor-led live training, available either online or on-site, targets beginner-level professionals in project management and planning who seek to utilize Claude AI to enhance project design, documentation, communication, and long-term strategic planning.

After completing this training, participants will be equipped to:

• Generate project documentation, including charters, briefs, and scope definitions, using Claude AI.
• Conduct risk, constraint, and dependency analysis supported by AI-driven reasoning.
• Develop customized stakeholder communications and reporting materials tailored to diverse audiences.
• Utilize Claude AI to assist with sprint planning, prioritization tasks, and roadmap refinement.

Course Format

• Instructor-led explanations paired with guided demonstrations.
• Practical exercises using real-world project management scenarios.
• Structured activities applying Claude AI in a live environment.

Customization Options

• Upon request, the course can incorporate custom scenarios, organization-specific templates, or industry-focused workflows.

Mistral AI is an open AI platform that empowers teams to construct and embed conversational assistants within enterprise and customer-facing workflows.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate-level product managers, full-stack developers, and integration engineers aiming to design, integrate, and productize conversational assistants leveraging Mistral connectors and integrations.

Upon completing this training, participants will be equipped to:

• Integrate Mistral conversational models with enterprise and SaaS connectors.
• Implement retrieval-augmented generation (RAG) to ensure grounded responses.
• Design user experience patterns for both internal and external chat assistants.
• Deploy assistants into product workflows to address real-world use cases.

Course Format

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

Course Customization Options

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

Ollama is a platform that allows users to run large language and multimodal models on their own devices.

This instructor-led live training, available either online or onsite, is designed for intermediate practitioners who want to master prompt engineering techniques to enhance Ollama's output quality.

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

• Create effective prompts tailored to various use cases.
• Utilize techniques like priming and chain-of-thought structuring.
• Deploy prompt templates and manage context strategies.
• Construct multi-stage prompting pipelines for intricate workflows.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on prompt design.
• Hands-on implementation in a live-lab environment.

Customization Options

• For a customized training session, please contact us to arrange one.

This instructor-led, live training in Varna (online or onsite) is designed for beginner-level business analysts and automation engineers who want to understand how to use LangChain and APIs to automate repetitive tasks and workflows.

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

• Grasp the fundamentals of API integration with LangChain.
• Automate repetitive workflows using LangChain and Python.
• Employ LangChain to connect various APIs for efficient business processes.
• Design and automate custom workflows leveraging APIs and LangChain’s automation capabilities.

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

This instructor-led, live training session (available online or on-site) is designed for beginner-level professionals looking to implement Claude AI within customer support and service operations.

Upon completing this program, participants will be able to:

• Accelerate support triage and classification using Claude.
• Generate customer responses and summaries that maintain consistent tone.
• Automate the drafting of tickets and streamline knowledge retrieval processes.
• Seamlessly integrate Claude into existing customer support workflows.

Course Format

• Guided lectures accompanied by real-world support scenarios.
• Practical exercises grounded in enterprise service cases.
• Interactive application of Claude in a simulated support environment.

Customization Options

• For organizations seeking to tailor this course to their specific support workflows, please contact us to discuss customization possibilities.

LangGraph serves as a framework designed to build stateful, multi-agent LLM applications through composable graphs that maintain persistent state and offer precise control over execution.

This instructor-led training, available either online or on-site, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based legal solutions while ensuring necessary compliance, traceability, and governance controls.

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

• Create legal-specific LangGraph workflows that maintain auditability and compliance.
• Incorporate legal ontologies and document standards into graph states and processing.
• Implement guardrails, human-in-the-loop approvals, and traceable decision pathways.
• Deploy, monitor, and maintain LangGraph services in production environments with effective observability and cost management.

Course Format

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

Customization Options

• For tailored training on this subject, please contact us to arrange your specific requirements.

Mistral AI serves as an open and enterprise-ready AI platform, offering capabilities designed for the secure, compliant, and responsible deployment of artificial intelligence.

This instructor-led training, available either online or onsite, is tailored for compliance leads, security architects, and legal or operations stakeholders at an intermediate proficiency level. The course focuses on implementing responsible AI practices using Mistral by leveraging specific mechanisms for privacy, data residency, and enterprise controls.

Upon completion of this training, participants will be capable of:

• Implementing privacy-preserving techniques within Mistral deployments.
• Applying data residency strategies to satisfy regulatory requirements.
• Establishing enterprise-grade controls, including RBAC, SSO, and audit logging.
• Evaluating vendor and deployment options to ensure alignment with compliance standards.

Format of the Course

• Interactive lectures and discussions.
• Case studies and exercises focused on compliance.
• Hands-on implementation of enterprise AI controls.

Course Customization Options

• For organizations requesting a customized version of this training, please contact us to make arrangements.

Ollama serves as a platform for executing large language models (LLMs) and multimodal models locally and at scale.

This instructor-led live training (available online or onsite) targets intermediate to advanced engineers seeking to scale Ollama deployments for environments requiring multi-user support, high throughput, and cost efficiency.

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

• Configure Ollama to handle multi-user and distributed workloads.
• Optimize resource allocation for GPUs and CPUs.
• Implement strategies for autoscaling, batching, and reducing latency.
• Monitor and optimize infrastructure to enhance performance and cost-effectiveness.

Course Format

• Interactive lectures and discussions.
• Practical labs focused on deployment and scaling.
• Real-world optimization exercises conducted in live environments.

Customization Options

• For customized training requests, please contact us to arrange.

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

This instructor-led live training, available online or onsite, targets intermediate-level AI professionals looking to build, deploy, and optimize vision and language models using the CANN SDK for production scenarios.

Upon completion of this training, participants will be capable of:

• Deploying and optimizing CV and NLP models via CANN and AscendCL.
• Utilizing CANN tools to convert models and integrate them into active pipelines.
• Enhancing inference performance for tasks such as detection, classification, and sentiment analysis.
• Developing real-time CV/NLP pipelines suitable for edge or cloud deployment environments.

Course Format

• Interactive lectures paired with live demonstrations.
• Practical labs focused on model deployment and performance profiling.
• Designing live pipelines using real-world CV and NLP use cases.

Customization Options

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

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

This instructor-led training session, available online or on-site, targets beginner to intermediate-level professionals seeking to utilize Claude to speed up data analysis, derive actionable insights, and streamline BI processes.

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

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

Course Format

• Instructor-led demonstrations coupled with guided discussions.
• Hands-on exercises utilizing real-world business datasets.
• Practical application of Claude within BI-focused scenarios.

Course Customization Options

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

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications that operate as composable graphs with persistent state and precise control over execution.

This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based finance solutions that adhere to proper governance, observability, and compliance standards.

Upon completion of this training, participants will be capable of:

• Designing finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrating financial data standards and ontologies into graph states and tooling.
• Implementing reliability, safety, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems to ensure performance, cost efficiency, and SLA compliance.

Course Format

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

Course Customization Options

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

Ollama is a platform designed to facilitate the execution and fine-tuning of large language and multimodal models directly on your local infrastructure.

This instructor-led live training session, available either online or on-site, is tailored for advanced ML engineers, AI researchers, and product developers who aim to construct and deploy multimodal applications leveraging Ollama.

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

• Configure and operate multimodal models via Ollama.
• Combine text, image, and audio inputs for practical, real-world applications.
• Create systems for document understanding and visual question answering.
• Develop multimodal agents capable of reasoning across different data modalities.

Course Format

• Interactive lectures and group discussions.
• Practical exercises using authentic multimodal datasets.
• Live laboratory implementation of multimodal pipelines with Ollama.

Customization Options

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

Mistral models are open-source artificial intelligence technologies that now support multimodal workflows, handling both language and vision tasks for enterprise and research purposes.

This instructor-led, live training (available online or onsite) is designed for intermediate-level machine learning researchers, applied engineers, and product teams looking to build multimodal applications with Mistral models, including OCR and document understanding pipelines.

Upon completing 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 to enterprise use cases.
• Develop vision-text search and assistive UI functionalities.

Course Format

• Interactive lectures and discussions.
• Hands-on coding exercises.
• Live laboratory implementation of multimodal pipelines.

Customization Options

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

This instructor-led live training in Varna (online or onsite) is designed for intermediate-level data scientists and developers who want 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 a comprehensive course dedicated to diagnosing, testing, and assessing model behavior in local or private Ollama deployments.

Delivered as instructor-led live training (available online or onsite), this program targets experienced AI engineers, MLOps professionals, and QA specialists who aim to ensure the reliability, accuracy, and operational readiness of Ollama-based models in production environments.

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

• Systematically debug Ollama-hosted models and reliably reproduce failure scenarios.
• Design and execute robust evaluation pipelines using both quantitative and qualitative metrics.
• Implement observability measures (logs, traces, metrics) to monitor model health and detect drift.
• Automate testing, validation, and regression checks within CI/CD pipelines.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Varna (online or onsite) is designed for intermediate-level researchers, analysts, and knowledge workers who wish to use Claude AI to process large volumes of data, synthesize information, and automate research activities.

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

• Utilize Claude AI for literature reviews and research synthesis.
• Summarize reports, research papers, and lengthy documents.
• Extract key insights and trends from both structured and unstructured data.
• Incorporate Claude AI into research and knowledge management workflows.

Devstral and Mistral are open-source AI technologies engineered for flexible deployment, fine-tuning, and scalable integration.

This instructor-led live training, available online or onsite, targets intermediate to advanced ML engineers, platform teams, and research engineers seeking to self-host, fine-tune, and govern Mistral and Devstral models within production environments.

Upon completion 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 domain-specific performance.
• Implement versioning, monitoring, and lifecycle governance mechanisms.
• 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.

Customization Options

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

LangGraph facilitates 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, enabling interoperability, and developing decision-support systems that seamlessly align with clinical workflows.

This instructor-led live training (available online or onsite) targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based healthcare solutions while navigating 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 key considerations.
• Integrate LangGraph applications with medical ontologies and standards, including FHIR, SNOMED CT, and ICD.
• Apply best practices for reliability, traceability, and explainability in sensitive environments.
• Deploy, monitor, and validate LangGraph applications within healthcare production settings.

Course Format

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

Course Customization Options

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

LangGraph is a framework designed for constructing stateful, multi-agent LLM applications as composable graphs, featuring persistent state and precise execution control.

This instructor-led live training, available online or onsite, targets advanced AI platform engineers, DevOps professionals specializing in AI, and ML architects who aim to optimize, debug, monitor, and manage 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 improve scalability.
• Ensure reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debug and trace graph executions, inspect state changes, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces; deploy them to production; and monitor SLAs and costs.

Format of the Course

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

Course Customization Options

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

This guided, live training session in Varna (delivered online or onsite) is designed for intermediate-level professionals looking to deepen their knowledge of conversational agents and apply LangChain to real-world scenarios.

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

• Comprehend the foundational concepts of LangChain and its role in constructing conversational bots.
• Create and deploy conversational agents using LangChain.
• Link conversational agents with APIs and external services.
• Implement Natural Language Processing (NLP) methods to boost the performance of conversational agents.

This instructor-led, live training in Varna (online or onsite) is aimed at beginner to intermediate 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 Varna (online or onsite) is designed for advanced professionals who wish to fine-tune and customize AI models on Ollama to improve performance and enable 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 family of high-performance large language models specifically optimized for cost-efficient deployment at scale in production environments.

This instructor-led live training, available either online or onsite, is designed for advanced infrastructure engineers, cloud architects, and MLOps leaders who aim to design, deploy, and fine-tune Mistral-based architectures to achieve maximum throughput while minimizing costs.

Upon completing 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 without compromising performance.
• Design enterprise-grade, production-ready serving topologies.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Varna (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.

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 session in Varna (online or on-site) is designed for advanced professionals seeking 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 Varna (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 boost software functionality through AI-driven automation.

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

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

LangGraph is a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving Large Language Models (LLMs) and various tools. It is particularly well-suited for automating and personalizing content pipelines.

This instructor-led live training, available both online and onsite, targets intermediate-level marketers, content strategists, and automation developers looking to build dynamic, branching email campaigns and content generation pipelines using LangGraph.

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

• Create graph-structured workflows for emails and content that incorporate conditional logic.
• Connect LLMs, APIs, and data sources to enable automated personalization.
• Manage state, memory, and context throughout multi-step campaigns.
• Assess, monitor, and optimize the performance and delivery results of workflows.

Course Format

• Interactive lectures accompanied by group discussions.
• Practical labs focused on implementing email workflows and content pipelines.
• Scenario-based exercises covering personalization, segmentation, and branching logic.

Course Customization Options

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

Le Chat Enterprise is a private ChatOps solution that provides secure, customizable, and governed conversational AI capabilities for organizations, with support for RBAC, SSO, connectors, and enterprise app integrations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish to deploy, configure, and govern Le Chat Enterprise in enterprise environments.

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 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 designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish 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 coding agent development.
• Design agentic workflows for codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

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 Varna (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 Varna (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 serves as a framework for assembling graph-structured LLM workflows that facilitate branching, tool utilization, memory management, and controlled execution.

This instructor-led, live training (available online or onsite) targets intermediate engineers and product teams aiming to merge LangGraph’s graph logic with LLM agent loops to create dynamic, context-aware applications, such as customer support agents, decision trees, and information retrieval systems.

Upon completion of this training, participants will be capable of:

• Designing graph-based workflows that coordinate LLM agents, tools, and memory.
• Implementing conditional routing, retries, and fallback mechanisms for robust execution.
• Integrating retrieval, APIs, and structured outputs into agent loops.
• Evaluating, monitoring, and enhancing agent behavior to ensure reliability and safety.

Course Format

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

Customization Options

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

This instructor-led, live training in Bulgaria (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 Varna (online or onsite) is designed for intermediate-level professionals seeking to enhance their NLP projects through the effective fine-tuning of pre-trained language models.

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

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

This instructor-led, live training in Varna (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 constructing graph-structured Large Language Model (LLM) applications that facilitate planning, branching, tool integration, memory management, and controllable execution.

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

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

• Explain core LangGraph concepts, including nodes, edges, and state, and understand when to apply them.
• Create prompt chains that support branching, tool invocation, and memory retention.
• Integrate retrieval mechanisms and external APIs into graph-based workflows.
• Test, debug, and evaluate LangGraph applications to ensure reliability and safety.

Course Format

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

Course Customization Options

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

Mistral Medium 3 is a powerful, multimodal large language model built for production-ready deployment within enterprise settings.

This instructor-led live training, available online or on-site, is designed for intermediate to advanced AI/ML engineers, platform architects, and MLOps teams looking to deploy, optimize, and secure Mistral Medium 3 for business applications.

Upon completion, participants will be able to:

• Deploy Mistral Medium 3 via API or self-hosted solutions.
• Enhance inference performance while managing costs.
• Develop multimodal applications using Mistral Medium 3.
• Apply industry best practices for security and compliance in enterprise environments.

Course Format

• Engaging lectures and discussions.
• Extensive exercises and practical work.
• Live-lab implementation experience.

Customization Options

• For tailored training on this course, please get in touch with us.

This instructor-led, live training in Varna (online or onsite) is tailored for beginner-level professionals who wish to install, configure, and utilize 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.

Understanding the fundamentals of artificial intelligence highlights how intelligent technologies are transforming digital strategy, automation, and decision-making processes across enterprise operations. This course covers essential topics including the history of AI, problem-solving frameworks, knowledge representation, reasoning under uncertainty, and machine learning approaches, alongside areas such as communication, perception, and autonomous behavior. It equips executives and architects with the insights needed to evaluate AI-driven transformation opportunities, assess emerging technology trends, and implement practical intelligent solutions to enhance business agility.

This two-part training program is tailored for software delivery teams aiming to incorporate AI-assisted engineering workflows into their daily operations using Claude Code.

Artificial Intelligence training covers data analysis, distributed AI, and natural language processing, aiming to provide developers and data scientists with the applied technologies for building large-scale intelligent systems. The course content includes distributed machine learning, Apache Spark MLlib, and the core principles of prediction based on MapReduce, and deeply explores the practical methods of recommendation engines, text classification, semantic analysis using Word2Vec, and RNN-LSTM architectures. This course helps professionals deploy AI pipelines usable in production environments, transforming raw data into automated decision-making capabilities.

Claude Code goes beyond simple code completion—it operates as a terminal-native development agent that reads your codebase, plans multi-step changes, runs tests, and drives tasks from a single instruction to deliver working results. This one-day workshop offers participants structured, hands-on training in configuring Claude Code for real projects, writing effective delegations for reviewable outcomes, using CLAUDE.md as persistent project memory, and connecting internal tools through the Model Context Protocol.

This instructor-led, live training in Varna (online or onsite) is designed for 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 using natural language, leverage approval modes, and integrate with Git and CI/CD.

Natural Language Processing (NLP) converts unstructured text into valuable insights, allowing machines to interpret human language. This course covers essential techniques including corpus analysis, sentence parsing, text preprocessing workflows, and dimensionality reduction using SVD and NMF methods. Participants will gain hands-on experience implementing document clustering, topic modeling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation with Python. By the end of the training, learners will be equipped to develop intelligent text analytics systems for automated content classification and search capabilities.

Ollama is an open-source solution designed to run large language models locally on both consumer and enterprise-grade hardware. It streamlines complex tasks such as model quantization, GPU resource allocation, and API serving into a unified command-line interface. This allows organizations to self-host LLMs like Llama, Mistral, and Qwen, ensuring that prompts and data remain private without being transmitted to external providers like OpenAI, Anthropic, or Google.