Natural Language Processing (NLP) Training in Transylvania Central

This live, instructor-led training in Transylvania Central empowers finance practitioners and IT staff to implement Ollama locally. Learners will master the deployment, configuration, and integration of large language models into secure financial workflows, while applying best practices for compliance and automation.

This live training in Transylvania Central empowers healthcare practitioners and IT teams to deploy Ollama for local LLMs. Discover how to integrate AI into clinical workflows, customize models for specialized tasks, and uphold strict data privacy and regulatory compliance within secure healthcare settings.

This practical training in Transylvania Central is geared toward intermediate and advanced professionals looking to construct, deploy, and manage AI agents. Discover how to utilize Mistral Medium 3, Le Chat Enterprise, and Devstral for strong enterprise and developer applications, including the integration of connectors, RAG patterns, and compliance requirements.

This live training in Transylvania Central focuses on embedding Mistral conversational assistants into enterprise workflows. Learners will master connecting SaaS tools, applying retrieval-augmented generation, and crafting effective UX patterns for customer-facing and internal chat interfaces.

This instructor-led live training in Transylvania Central is designed to help beginners effectively apply Claude AI to customer support and service operations. Participants will develop the skills to automate triage, draft tone-aligned responses, and integrate AI into current workflows through practical, hands-on exercises.

This live Mistral Responsible AI training in Transylvania Central is crafted specifically for compliance and security professionals. You will gain proficiency in privacy-preserving techniques, data residency strategies, and enterprise controls like RBAC and SSO to guarantee secure and compliant AI deployment.

This live Claude AI training in Transylvania Central empowers professionals to utilize the tool for data analysis and BI objectives. It addresses exploratory data analysis, SQL generation, and dashboard design through natural language prompting, with the goal of simplifying workflows and enhancing insight extraction from business data.

Discover how to construct multimodal applications using Mistral models, with a focus on OCR, document understanding, and vision-text search. This hands-on training covers pipeline implementation, NLP integration, and enterprise-grade design, delivered either online or in Transylvania Central.

This instructor-led live training in Transylvania Central (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.

This instructor-led, live training in Transylvania Central (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.

This instructor-led program in Transylvania Central empowers ML engineers to proficiently self-host and fine-tune Devstral and Mistral models. Learners acquire practical skills in governance, monitoring, and compliance to confidently deploy open-source AI solutions in production environments.

This instructor-led, live training in Transylvania Central (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 Transylvania Central (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.

Develop expertise in cost-efficient Mistral LLM architectures through this 14-hour live training in Transylvania Central. Gain the skills to deploy, optimize, and scale Mistral Medium 3 for optimal throughput and reduced costs, leveraging batching, quantization, and efficient serving strategies for enterprise workloads.

This instructor-led, live training in Transylvania Central (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 Transylvania Central (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.

This live training in Transylvania Central explores Le Chat Enterprise, a secure, governed private ChatOps platform for conversational AI. Participants will learn to deploy, configure, and integrate the solution with enterprise applications, enabling RBAC, SSO, and compliance-driven controls to facilitate scalable and secure AI workflows.

Gain mastery over Devstral through this live training conducted in Transylvania Central. The curriculum explores architecture, agentic workflow design, and tool connectivity. Perfect for senior engineers, the program utilizes hands-on labs to construct coding agents that elevate productivity and security in contemporary development contexts.

This instructor-led, live training in Transylvania Central (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 Transylvania Central (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.

This instructor-led live training in Transylvania Central (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 Transylvania Central (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.

This instructor-led training in Transylvania Central empowers advanced AI engineers to deploy and secure Mistral Medium 3. Participants will learn to optimize inference costs, implement multimodal use cases, and apply enterprise compliance practices. The program includes hands-on labs for both API and self-hosted setups.

This instructor-led, live training in Transylvania Central (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.

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.

A two-day introductory course designed for individuals new to AI-assisted software development, including those with minimal or no coding background. This module explores the mechanics of these tools, techniques for guiding them via prompts, and practical applications for common scenarios, such as developing a small project from the ground up, integrating with existing codebases, and evaluating outcomes. The curriculum is tool-agnostic, remaining applicable to platforms like Cursor, Claude Code, and Copilot, among others. This course serves as a prerequisite for the Agentic AI Development: Advanced Workflows module.<\/p>

This two-part training course is tailored for software delivery teams aiming to embed AI-driven engineering processes into their daily operations through the use of Claude Code.

This course provides artificial intelligence technology training in Transylvania Central, covering data analysis, distributed machine learning, and natural language processing to help developers build large-scale intelligent systems. The content explores practical methods for Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, empowering professionals to convert raw data into automated decision pipelines ready for production deployment, thereby enhancing their core competency in building intelligent systems.

This instructor-led, live training delivered in Transylvania Central is tailored for intermediate-level developers looking to design, construct, and validate AI agents using the Claude API and the Agent SDK.

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

• Utilize the Messages API by leveraging system prompts, structured outputs, and streaming
• Establish tools and execute a dependable tool-use cycle
• Integrate agents with external systems via MCP servers
• Develop and operate agents utilizing the Claude Agent SDK, covering permissions and subagents
• Optimize expenses and latency through prompt caching and effective context management
• Conduct testing, logging, and monitoring of agent performance using a concise evaluation set

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 live, instructor-led training in Transylvania Central is tailored for intermediate to advanced developers and tech leads seeking to configure and scale Claude Code for reliable team adoption.

Upon completion, participants will be equipped to:

• Structure CLAUDE.md files, settings, and permissions for both individual repositories and entire teams
• Develop custom subagents with specific roles and controlled tool access
• Implement hooks that automatically enforce formatting, testing, and safety protocols
• Bundle recurring workflows into Skills, slash commands, and plugins
• Integrate Claude Code with external systems using MCP servers
• Execute Claude Code in non-interactive scripts and CI pipelines, including critical output review

This live, instructor-led training held in Transylvania Central targets business users interested in building simple internal tools and prototypes.

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

• Describe a small tool clearly enough for AI to construct it
• Build a working prototype with Lovable
• Use Claude Code for simple helper tools with guidance
• Recognize when a prototype requires the intervention of a developer

This guided live training delivered in Transylvania Central is intended for professionals and managers who wish to delegate complete workflows to Claude.

Participants will gain the ability to:

• Identify the autonomous functions of Claude Cowork
• Assign research, document, and file management tasks
• Structure, evaluate, and adjust delegated work
• Recognize limitations and adhere to safe usage guidelines

Ollama is an open-source utility designed for local execution of large language models on consumer and enterprise systems. It simplifies the complexities of model quantization, GPU allocation, and API serving into a single command-line tool, empowering organizations to self-host models like Llama, Mistral, and Qwen without exposing prompts or data to third-party providers such as OpenAI, Anthropic, or Google.