Natural Language Processing (NLP) Training in Dobrogea Sud-Est

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

This instructor-led live training, available either online or on-site, is tailored for finance practitioners and IT professionals at an intermediate level who aim to implement, customize, and operationalize AI solutions based on Ollama within financial contexts.

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

• Deploy and configure Ollama to ensure secure operations within financial environments.
• Incorporate local large language models into analytical and reporting processes.
• Adapt models to align with 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 scenarios focused on finance.

Options for Course Customization

• To request a tailored training program for this course, please reach out to us to make arrangements.

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

This instructor-led live training, available both online and onsite, is tailored for intermediate-level healthcare professionals and IT teams looking to deploy, customize, and operationalize Ollama-based AI solutions 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 for healthcare-specific terminology and tasks.
• Apply best practices for privacy, security, and regulatory compliance.

Course Format

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

Customization Options

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

Ollama serves as a platform for executing large language and multimodal models locally, with built-in support for governance and responsible AI practices.

This instructor-led live training, available both online and onsite, targets intermediate to advanced professionals looking to integrate fairness, transparency, and accountability into applications powered by Ollama.

Upon completing this course, participants will be able to:

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

Course Format

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

Customization Options

• To request a customized version of this training, please contact us to make arrangements.

Mistral AI represents a versatile suite of open-source and enterprise-grade AI models designed for language processing, multimodal tasks, and agentic workflows.

This live, instructor-led course—available online or on-site—is tailored for intermediate to advanced professionals looking to construct, deploy, and oversee AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.

Upon completion, participants will be equipped to:

• Comprehend the architecture and core capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Architect and develop AI agents that harness Mistral models for both enterprise and developer-focused scenarios.
• Embed coding systems, connectors, and enterprise data into seamless agent workflows.
• Enhance the performance, cost-efficiency, and regulatory compliance of agents powered by Mistral.

Course Format

• Engaging lectures accompanied by collaborative discussions.
• Extensive exercises and practical application activities.
• Real-world implementation within a live laboratory environment.

Customization Availability

• To explore tailored training options for this curriculum, please reach out to us to discuss specific requirements.

Ollama is a platform designed for running large language and multimodal models locally, while also supporting secure deployment strategies.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who want 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 containerized and on-premises environments.
• Apply differential privacy techniques to protect sensitive data.
• Implement secure logging, monitoring, and auditing practices.
• Enforce data access control in alignment with compliance requirements.

Course Format

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

Course Customization Options

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

Claude AI represents a sophisticated language model engineered to assist with complex analytical, strategic, and organizational challenges.

This instructor-led training session, available both online and onsite, is tailored for project management and planning professionals at the beginner level who aim to utilize Claude AI to enhance project design, documentation, communication, and long-term strategic planning.

After successfully completing this training, participants will be equipped to:

• Generate essential project documentation, including charters, briefs, and scopes, using Claude AI.
• Evaluate risks, constraints, and dependencies through AI-driven reasoning.
• Formulate stakeholder communications and reports customized for various target audiences.
• Utilize Claude AI to facilitate sprint planning, task prioritization, and roadmap refinement.

Course Delivery Format

• A blend of instructor-led explanations and guided practical demonstrations.
• Experiential learning through real-world project management scenarios.
• Structured exercises that apply Claude AI within a live operational environment.

Customization Opportunities

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

Mistral AI offers an open-source AI platform that empowers teams to develop and embed conversational assistants into both enterprise operations and customer-facing workflows.

This instructor-led live training, available either online or onsite, targets beginner to intermediate product managers, full-stack developers, and integration engineers looking to design, integrate, and commercialize conversational assistants using Mistral connectors and integrations.

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

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

Course Format

• Interactive lectures and discussions.
• Practical integration exercises.
• Live lab sessions for developing conversational assistants.

Course Customization Options

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

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

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

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

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

Format of the Course

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

Course Customization Options

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

Claude AI is a generative artificial intelligence system engineered to facilitate reasoning, content creation, information retrieval, and workflow automation.

This instructor-led training session, available online or onsite, targets beginner-level professionals eager to apply Claude AI to customer support and service operations.

After completing this program, participants will be able to:

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

Course Format

• Instructor-guided lectures featuring real-world support scenarios.
• Practical exercises based on enterprise service cases.
• Hands-on application of Claude within a simulated support environment.

Customization Options

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

LangGraph serves as a framework for developing stateful, multi-actor LLM applications through composable graphs that maintain persistent state and offer precise execution control.

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based legal solutions with robust compliance, traceability, and governance controls.

Upon completion, participants will be capable of:

• Designing legal-specific LangGraph workflows that ensure auditability and regulatory compliance.
• Integrating legal ontologies and document standards into graph state and processing logic.
• Implementing guardrails, human-in-the-loop approvals, and traceable decision paths.
• Deploying, monitoring, and maintaining LangGraph services in production environments with observability and cost management.

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.

Mistral AI offers an open, enterprise-ready AI platform designed to facilitate secure, compliant, and responsible AI deployment.

This instructor-led training, available online or onsite, is designed for intermediate-level compliance leads, security architects, and legal/operations stakeholders seeking to implement responsible AI practices with Mistral by leveraging its privacy, data residency, and enterprise control capabilities.

Upon completing this training, participants will be able to:

• Deploy privacy-preserving techniques within Mistral environments.
• Apply data residency strategies to satisfy regulatory requirements.
• Establish enterprise-grade controls, including RBAC, SSO, and audit logging.
• Evaluate vendor and deployment options to ensure compliance alignment.

Course Format

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

Customization Options

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

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

This instructor-led training, available online or onsite, targets intermediate to advanced engineers seeking to expand Ollama deployments for multi-user, high-throughput, and cost-effective environments.

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

• Setting up Ollama to support multi-user and distributed workloads.
• Optimizing the allocation of GPU and CPU resources.
• Deploying strategies for autoscaling, batching, and latency reduction.
• Monitoring and optimizing infrastructure to enhance performance and cost efficiency.

Course Format

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

Customization Options

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

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

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

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

• Deploy and optimize CV and NLP models utilizing CANN and AscendCL.
• Leverage CANN tools to convert models and seamlessly integrate them into live pipelines.
• Enhance inference performance for tasks such as detection, classification, and sentiment analysis.
• Construct real-time CV/NLP pipelines tailored for edge or cloud deployment environments.

Course Format

• Interactive lectures combined with live demonstrations.
• Practical labs focusing on model deployment and performance profiling.
• Live pipeline design exercises using real-world CV and NLP scenarios.

Course Customization Options

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

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

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to use Claude to accelerate data analysis, generate insights, and streamline BI processes.

After completing this training, attendees will be able to:

• Apply Claude to perform 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 enhanced 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 within BI-focused scenarios.

Course Customization Options

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

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

This instructor-led live training, available online or on-site, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based financial solutions with robust governance, observability, and regulatory compliance.

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

• Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph states and associated tools.
• Implement reliability, safety measures, and human-in-the-loop controls for critical operations.
• Deploy, monitor, and optimize LangGraph systems to ensure high performance, cost efficiency, and adherence to SLAs.

Course Format

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

Customization Options

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

Ollama is a platform designed for running and fine-tuning large language and multimodal models on local devices.

This instructor-led live training, available either online or onsite, targets advanced-level ML engineers, AI researchers, and product developers seeking to build and deploy multimodal applications using Ollama.

Upon completing this training, participants will be able to:

• Configure and execute multimodal models with Ollama.
• Integrate text, image, and audio inputs for practical applications.
• Construct systems for document understanding and visual question answering.
• Develop multimodal agents capable of reasoning across different data modalities.

Course Format

• Interactive lectures and discussions.
• Practical exercises using real-world multimodal datasets.
• Live-lab implementation of multimodal pipelines via Ollama.

Course Customization Options

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

Mistral models represent open-source AI technologies that are expanding into multimodal workflows, effectively supporting both linguistic and visual tasks for enterprise and research initiatives.

This live training, led by an instructor and available either online or on-site, is designed for intermediate-level machine learning researchers, applied engineers, and product teams interested in creating multimodal applications using Mistral models. The curriculum includes the development of OCR and document understanding pipelines.

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

• Configure and set up Mistral models for multimodal tasks.
• Implement OCR workflows and seamlessly integrate them with NLP pipelines.
• Design document understanding applications tailored to enterprise use cases.
• Develop functionalities for vision-text search and assistive user interfaces.

Course Format

• Interactive lectures and discussions.
• Practical coding exercises.
• Live laboratory sessions for implementing multimodal pipelines.

Customization Options

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

This instructor-led live training in Dobrogea Sud-Est (online or onsite) targets intermediate 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.

The Advanced Ollama Model Debugging & Evaluation course provides a comprehensive deep dive into diagnosing, testing, and assessing model behavior for local or private Ollama deployments.

This instructor-led live training, available online or onsite, targets advanced AI engineers, ML Ops professionals, and QA specialists who aim to ensure the reliability, fidelity, and operational readiness of Ollama-based models in production environments.

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

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

Course Format

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

Course Customization Options

• To request a tailored training version of this course, please contact us to arrange.

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

By the end 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 into existing research and knowledge management workflows.

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

This instructor-led live training (available online or onsite) is tailored for intermediate to advanced ML engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern Mistral and Devstral models within production environments.

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

• Setting up and configuring self-hosted environments for Mistral and Devstral models.
• Applying fine-tuning techniques to enhance domain-specific performance.
• Implementing versioning, monitoring, and lifecycle governance strategies.
• Ensuring 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 tailored training for this course, please contact us to arrange.

LangGraph empowers stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. For the healthcare sector, these capabilities are essential for ensuring compliance, enabling interoperability, and developing decision-support systems that seamlessly integrate with medical workflows.

This instructor-led, live training—available either online or on-site—is designed for intermediate to advanced professionals looking to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational challenges.

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

• Designing healthcare-specific LangGraph workflows that prioritize compliance and auditability.
• Integrating LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
• Applying best practices for reliability, traceability, and explainability within sensitive environments.
• Deploying, monitoring, and validating LangGraph applications in healthcare production settings.

Format of the Course

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

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) targets advanced AI platform engineers, AI DevOps specialists, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.

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

• Design and optimize complex LangGraph topologies for enhanced speed, cost-efficiency, and scalability.
• Engineer reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debug and trace graph executions, inspect state variables, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces; deploy to production; and monitor SLAs and costs.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practical application.
• 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 Dobrogea Sud-Est (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 Dobrogea Sud-Est (online or onsite) is designed for advanced professionals who want to fine-tune and customize AI models on Ollama to achieve better performance and support domain-specific applications.

By the conclusion 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 represents a high-performance suite of large language models, specifically engineered for scalable and cost-effective production deployments.

This instructor-led training, available both online and onsite, targets advanced infrastructure engineers, cloud architects, and MLOps leaders seeking to design, deploy, and optimize Mistral-based architectures to achieve peak throughput while minimizing costs.

Upon completing this training, participants will be equipped to:

• Execute scalable deployment patterns for Mistral Medium 3.
• Utilize batching, quantization, and efficient serving strategies.
• Reduce inference expenses without compromising performance.
• Architect production-ready serving topologies tailored for enterprise workloads.

Course Format

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

Customization Options

• For tailored training on this topic, please contact us to arrange.

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is designed for advanced professionals seeking to implement secure and efficient AI-driven workflows using Ollama.

Upon completion 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 strict data privacy.
• Automate business processes using on-premise AI capabilities.
• Ensure compliance with enterprise security and governance policies.

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is designed for intermediate-level software developers and AI engineers looking to integrate Claude AI into their applications, create AI-driven chatbots, and improve software functionality with AI-based automation.

After completing this training, participants will be able to:

• Integrate AI into applications using the Claude AI API.
• Create AI-driven chatbots and virtual assistants.
• Improve applications with AI automation and natural language processing.
• Optimize and fine-tune Claude AI models for various use cases.

LangGraph is a graph-based orchestration framework that enables conditional, multi-step LLM and tool workflows, ideal for automating and personalizing content pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level marketers, content strategists, and automation developers who wish to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

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

• Design graph-structured content and email workflows with conditional logic.
• Integrate LLMs, APIs, and data sources for automated personalization.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimize workflow performance and delivery outcomes.

Format of the Course

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

Course Customization Options

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

Le Chat Enterprise 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 engineered for the creation and execution of coding agents capable of interacting with code repositories, developer utilities, and APIs to boost engineering efficiency.

This instructor-led, live training (available online or on-site) targets intermediate to advanced ML engineers, developer-tooling teams, and Site Reliability Engineers (SREs) who aim to design, implement, and optimize coding agents using Devstral.

Upon completing this training, participants will be able to:

• Establish and configure the Devstral environment for coding agent development.
• Design agentic workflows for exploring and modifying codebases.
• Integrate coding agents with developer tools and APIs.
• Apply best practices for secure and efficient agent deployment.

Course Format

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

Customization Options

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

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is designed for beginner-level professionals who wish to integrate Claude AI into their daily workflows to enhance 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 Dobrogea Sud-Est (online or onsite) is designed for intermediate-level professionals aiming to deploy, optimize, and integrate LLMs using Ollama.

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

• Install and deploy LLMs using Ollama.
• Tune AI models for enhanced performance and operational efficiency.
• Harness GPU acceleration to boost inference speeds.
• Seamlessly integrate Ollama into existing workflows and applications.
• Monitor and sustain AI model performance over time.

LangGraph serves as a framework designed for composing graph-structured LLM workflows that facilitate branching, tool utilization, memory management, and controllable execution.

This instructor-led, live training (available online or onsite) targets intermediate-level 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 completing 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 hardening agent behavior to ensure reliability and safety.

Format of the Course

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

Course Customization Options

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

This instructor-led live training in Dobrogea Sud-Est (online or onsite) is targeted at intermediate-level data scientists, AI developers, and AI enthusiasts who wish to utilize LLMs for various NLP tasks and generate novel, 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 Dobrogea Sud-Est (online or onsite) is designed for intermediate-level professionals looking 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:

• Grasp 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 to improve model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

LangGraph is a framework designed for constructing graph-structured LLM applications that facilitate planning, branching, tool utilization, memory management, and controlled execution.

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

By the conclusion of this training, participants will be capable of:

• Describing core LangGraph concepts (nodes, edges, state) and understanding their appropriate use cases.
• Constructing prompt chains that support branching, tool invocation, and memory retention.
• Integrating retrieval mechanisms and external APIs into graph-based workflows.
• Testing, debugging, and evaluating LangGraph applications to ensure reliability and safety.

Course Format

• Interactive lectures and facilitated discussions.
• Guided laboratory exercises and code walkthroughs within a sandbox environment.
• Scenario-based exercises focused on design, testing, and evaluation.

Course Customization Options

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

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

This instructor-led live training, available either online or on-site, targets intermediate to advanced AI/ML engineers, platform architects, and MLOps teams looking to deploy, optimize, and secure Mistral Medium 3 for enterprise use cases.

Upon completing this training, participants will be able to:

• Deploy Mistral Medium 3 via API and self-hosted solutions.
• Optimize inference performance and associated costs.
• Implement multimodal use cases utilizing Mistral Medium 3.
• Apply security and compliance best practices suitable for enterprise environments.

Course Format

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

Customization Options

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

This instructor-led, live training in Dobrogea Sud-Est (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.

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

• Grasp the fundamentals of Ollama and its capabilities.
• Set up Ollama to run 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 across various industries.

An exploration of artificial intelligence fundamentals reveals how intelligent technology reshapes digital strategy, automation, and decision making across enterprise operations. Examines core concepts spanning AI history, problem-solving frameworks, knowledge representation, uncertain reasoning, and machine learning paradigms alongside communication, perception, and autonomous action. Guides executives and architects to evaluate AI-driven transformation opportunities, assess emerging technology trends, and integrate practical intelligent solutions to accelerate business agility.

A two-day course designed for developers who already utilize AI coding tools such as Cursor, Claude Code, or Copilot. The curriculum addresses delegating end-to-end tasks to agents, constructing the personalization stack (Rules, AGENTS.md, Skills, MCP, Agents), linking and developing MCP servers, executing agents in parallel, and implementing a structured agentic workflow. The instructional material is tool-agnostic and serves as a continuation of the Foundations course.

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

This two-step training program is designed for software delivery teams looking to integrate AI-assisted engineering workflows into their daily activities 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 to build large-scale intelligent systems. The course content includes Distributed Machine Learning, Apache Spark MLlib, and the core principles of MapReduce-based prediction, and deeply explores practical methods for recommendation engines, text classification, semantic analysis using Word2Vec, and RNN-LSTM architectures. This course helps professionals deploy production-ready AI pipelines, transforming raw data into automated decision-making capabilities.

Claude for Business Productivity and AI Agents is a two-day instructor-led training that teaches business professionals how to use Claude effectively to improve productivity, automate everyday tasks, and create AI-powered assistants without programming. Participants will learn prompt engineering, document and data processing, project organization, and how AI agents work. Through practical exercises and real-world business scenarios, they will gain the knowledge and confidence to design, build, and refine their own no-code AI agents using Claude.

Level

Beginner to Intermediate

Learning Objectives

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

• Understand the capabilities, limitations, and best practices for using Claude in a business environment.

• Write effective prompts using proven prompt engineering techniques.

• Use Claude to generate, summarize, analyze, and transform business documents and data.

• Create reusable Claude Projects to organize knowledge, instructions, and recurring tasks.

• Apply Claude to common business activities such as reporting, project management, document creation, research, and data organization.

• Explain how AI agents work and identify business processes that can benefit from AI-driven automation.

• Distinguish between prompts, AI assistants, workflows, and AI agents.

• Analyze the structure and key components of an AI agent.

• Design AI agents using a structured, no-code methodology.

• Use Claude's AI capabilities to create and refine business assistants and automated workflows.

• Apply best practices for testing, improving, and governing AI-generated solutions.

Format of the Course

• Interactive lectures and instructor demonstrations

• Guided discussions and best-practice recommendations

• Hands-on exercises using Claude

• Individual and group workshops

• Practical business scenarios based on real organizational use cases

Course Customization Options

This course can be customized to include organization-specific use cases, documents, workflows, and business processes. Practical exercises may be adapted to participants' roles, such as management, finance, operations, merchandising, administration, sales, customer service, or project management. Additional focus can also be placed on document automation, data analysis, AI agent design, or industry-specific applications.

Target Audience

This instructor-led, live training is intended for business professionals, managers, team leaders, executive assistants, project managers, operations specialists, and knowledge workers who want to use Claude to improve productivity, automate business processes, and understand how to create AI agents without programming.

This instructor-led, live training in Dobrogea Sud-Est (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.

This intensive two-day program is tailored for professionals aiming to shift from treating AI as a casual conversational tool to integrating it as a fundamental digital work partner.

The course combines strategic theoretical insights—fully aligned with the 2026 AI ecosystem—with a robust practical component featuring nine hands-on exercises applied directly to participants' real-world business scenarios.

• Day 1 (In-Person): Mastering the Anthropic Ecosystem. This session focuses on advanced prompting techniques, profile personalization through Custom Instructions, and leveraging persistent workspaces (Projects, Artifacts, Skills) to manage internal knowledge bases.
• Day 2 (Online): Automation and Ecosystem Integration. This session covers running Claude in the background via Cowork features, the MCP (Model Context Protocol) ecosystem, and seamless, native integration with the Microsoft 365 suite (Word, Excel, PowerPoint, Teams, SharePoint, and OneDrive).

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

This instructor-led, live training in Dobrogea Sud-Est is designed for intermediate-level developers who wish to take a project from idea to a deployed, production-ready application using Claude Code.

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

• Configure Claude Code and effectively guide it using a CLAUDE.md file.
• Scaffold an application and integrate data with a CMS.
• Build test suites and run QA processes using subagents.
• Set up automated deployment pipelines to Vercel or Cloud Run.

Natural Language Processing turns raw text into actionable insights, allowing machines to understand human communication. The course covers essential techniques including corpus analysis, sentence structure parsing, text preprocessing pipelines, and dimensionality reduction using SVD and NMF methods. Participants will engage in practical implementations of document clustering, topic modeling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation with Python. This training empowers practitioners to develop intelligent text analytics systems for automated content classification and search.

Ollama is an open-source utility designed to run large language models locally on both consumer and enterprise-grade hardware. It simplifies complex tasks such as model quantization, GPU allocation, and API service provision into a single command-line interface, allowing organizations to host LLMs like Llama, Mistral, and Qwen on their own infrastructure without transmitting prompts or data to external providers like OpenAI, Anthropic, or Google.