Whether delivered online or onsite, instructor-led live Natural Language Processing (NLP) training courses utilize interactive discussions and hands-on practice to demonstrate how to extract meaningful insights from data. By leveraging programming languages such as Python and R, along with specialized NLP libraries, our training programs integrate concepts and techniques from computer science, artificial intelligence, and computational linguistics. This approach helps participants comprehend the underlying meaning of textual data. Our NLP courses guide participants through a step-by-step process of evaluating and applying the appropriate algorithms to analyze data and interpret its significance.
NLP training is offered in two formats: "online live training" and "onsite live training". The online option (also referred to as "remote live training") is conducted via an interactive remote desktop. For onsite live training, sessions can be held locally at the customer's premises in Sofia or at NobleProg corporate training centers in Sofia.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
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.
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.
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 Sofia (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 Sofia (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 instructor-led, live training in Sofia (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 Sofia (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 high-performance family of large language models optimized for cost-effective production deployment at scale.
This instructor-led, live training (online or onsite) is aimed at advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimum cost.
By the end of this training, participants will be able to:
Implement scalable deployment patterns for Mistral Medium 3.
Apply batching, quantization, and efficient serving strategies.
Optimize inference costs while maintaining performance.
Design production-ready serving topologies for enterprise workloads.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training session in Sofia (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 Sofia (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 Sofia (online or onsite) is designed for intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.
By the end of this training, participants will be able to:
Set up and deploy LLMs using Ollama.
Optimize AI models for performance and efficiency.
Leverage GPU acceleration for improved inference speeds.
Integrate Ollama into workflows and applications.
Monitor and maintain AI model performance over time.
LangGraph is a framework designed for composing graph-structured workflows involving LLMs, enabling features such as branching, tool usage, memory management, and controllable execution.
This instructor-led, live training (available online or onsite) targets intermediate-level engineers and product teams looking to integrate LangGraph’s graph logic with LLM agent loops to create dynamic, context-aware applications. Examples include customer support agents, decision trees, and information retrieval systems.
Upon completing this training, participants will be capable of:
Designing graph-based workflows that effectively coordinate LLM agents, tools, and memory.
Implementing conditional routing, retries, and fallback mechanisms to ensure robust execution.
Integrating retrieval mechanisms, APIs, and structured outputs into agent loops.
Evaluating, monitoring, and hardening agent behavior to enhance reliability and safety.
Course Format
Interactive lectures and facilitated discussions.
Guided labs and code walkthroughs within a sandbox environment.
Scenario-based design exercises and peer reviews.
Course Customization Options
To request a customized training session for this course, please contact us to arrange.
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 Sofia (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 (online or on-site) 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.
LangGraph is a specialized framework designed for constructing LLM applications with a graph-based architecture. It facilitates advanced capabilities such as planning, branching logic, tool utilization, memory management, and controllable execution flows.
This instructor-led live training, available both online and onsite, is tailored for beginner-level developers, prompt engineers, and data practitioners aiming to design and implement reliable, multi-step LLM workflows using LangGraph.
Upon completion of this training, participants will be equipped to:
Articulate core LangGraph concepts, including nodes, edges, and state, and understand appropriate use cases.
Construct prompt chains that support branching, tool invocation, and persistent memory.
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 coupled with facilitated discussions.
Guided laboratory exercises and code walkthroughs within a sandbox environment.
Scenario-based exercises focusing on design, testing, and evaluation strategies.
Customization Options
For requests regarding customized training for this course, please contact us to arrange suitable arrangements.
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 Sofia (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.
It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.
This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.
By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.
Format of the Course
Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
This program is designed for managers, solutions architects, innovation specialists, CTOs, software architects, and anyone seeking a comprehensive understanding of applied artificial intelligence and its upcoming trends.
This two-phase training programme is tailored for software delivery teams aiming to embed AI-assisted engineering workflows into their daily operations using Claude Code.
AI encompasses a suite of technologies designed to build intelligent systems capable of interpreting data and the surrounding activities to make "intelligent decisions". For telecom providers, developing applications and services that leverage AI can unlock improved operations and servicing in areas such as maintenance and network optimization.
In this course, we explore the various technologies that constitute AI and the skill sets required to apply them effectively. Throughout the course, we examine AI's specific applications within the telecom industry.
This course is designed for developers and data scientists who wish to understand and implement artificial intelligence within their applications. It focuses particularly on data analysis, distributed artificial intelligence, and natural language processing.
Chatbots are automated computer programs designed to simulate human conversation through chat interfaces. By offering more efficient and rapid interaction options, chatbots enable organizations to optimize their operational performance.
During this instructor-led live training, participants will gain the skills necessary to create chatbots using Python.
Upon completion of this course, participants will be capable of:
Grasping the core principles behind chatbot development
Creating, testing, deploying, and resolving issues with various chatbot systems using Python
Target Audience
Software Developers
Course Format
A blend of lectures, group discussions, practical exercises, and extensive hands-on programming
Note
For information on arranging a customized training session for this course, please contact us.
During this instructor-led live training in Sofia, participants will learn to utilize Python libraries for NLP by creating 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 instructor-led training session will investigate NLP techniques alongside the integration of AI and Robotics within business environments. Participants will engage in hands-on computer exercises and case study analysis using Python.
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.
This instructor-led live training, available online or onsite, is designed for developers and data scientists who want to leverage spaCy to process massive volumes of text, uncover patterns, and derive valuable insights.
Upon completing this course, participants will be able to:
Install and configure spaCy.
Grasp spaCy’s approach to Natural Language Processing (NLP).
Extract patterns and gain business insights from large-scale data sources.
Integrate the spaCy library into existing web and legacy applications.
Deploy spaCy in live production environments to predict human behavior.
Utilize spaCy to pre-process text for Deep Learning.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical activities.
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 it.
For more information about spaCy, please visit: https://spacy.io/
Within the realm of Machine Learning in Python, the Text Summarization feature is capable of processing input text and generating a concise summary. This functionality can be accessed either via the command-line interface or through a dedicated Python API/Library. One particularly compelling application is the swift generation of executive summaries, which proves invaluable for organizations that must review extensive volumes of text data prior to compiling reports and presentations.
In this instructor-led live training, participants will learn how to utilize Python to build a straightforward application that automatically generates summaries from input text.
Upon completing this training, participants will be able to:
Utilize a command-line tool for text summarization.
Design and develop Text Summarization code leveraging Python libraries.
Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, and readless 1.0.17.
Audience
Developers
Data Scientists
Format of the course
A mix of lectures, discussions, exercises, and intensive hands-on practice
TensorFlow™ is an open-source software library designed for numerical computation using data flow graphs.
SyntaxNet serves as a neural-network framework for Natural Language Processing built upon TensorFlow.
Word2Vec is utilized for learning vector representations of words, known as "word embeddings." Word2vec is a computationally efficient predictive model that learns these embeddings from raw text. It offers two variations: the Continuous Bag-of-Words model (CBOW) and the Skip-Gram model (as detailed in Chapters 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 designed for developers and engineers who plan to work with SyntaxNet and Word2Vec models within their TensorFlow graphs.
After completing this course, delegates will:
gain a thorough understanding of TensorFlow’s structure and deployment mechanisms
possess the skills to perform installation, production environment setup, architecture tasks, and configuration
be capable of assessing code quality, conducting debugging, and monitoring performance
learn to implement advanced production practices, such as training models, embedding terms, constructing graphs, and logging
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Testimonials (4)
Examples and links excel repository
Olga - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
I really liked the end where we took the time to play around with CHAT GPT. The room was not set up the best for this- instead of one large table a couple of small ones so we could get into small groups and brainstorm would have helped
Nola - Laramie County Community College
Course - Artificial Intelligence (AI) Overview
Very knowledgeable
Usama Adam - TWPI
Course - Natural Language Processing with TensorFlow
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
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