Natural Language Processing (NLP) Training in Riga

This instructor-led live training in Riga empowers finance practitioners and IT personnel with the expertise to implement Ollama on local systems. Learners will master the deployment, configuration, and integration of large language models into secure financial workflows, while adhering to compliance standards and automation best practices.

This live training session in Riga enables healthcare practitioners and IT teams to deploy Ollama for local LLM utilization. It focuses on integrating AI into clinical workflows, adapting models for specific duties, and maintaining rigorous data privacy and regulatory compliance within secure medical environments.

This practical training in Riga is designed for intermediate to advanced professionals seeking to construct, deploy, and oversee AI agents. Participants will learn to utilize Mistral Medium 3, Le Chat Enterprise, and Devstral to address robust enterprise and developer use cases, focusing on integrating connectors, RAG patterns, and compliance standards.

This live training in Riga focuses on integrating Mistral conversational assistants into enterprise workflows. Participants will learn to link SaaS tools, apply retrieval-augmented generation, and craft effective UX patterns for customer-facing and internal chat interfaces.

This live, instructor-led training in Riga enables beginners to apply Claude AI to customer support and service operations. Participants will gain the skills to automate triage, draft tone-appropriate responses, and integrate AI into existing workflows through practical, hands-on exercises.

This live Mistral Responsible AI training in Riga is designed for compliance and security leaders. It enables you to master privacy-preserving techniques, data residency strategies, and enterprise controls like RBAC and SSO, ensuring secure and compliant AI deployment.

This live Claude AI training in Riga assists professionals in leveraging the tool for data analysis and BI operations. It addresses exploratory data analysis, SQL generation, and dashboard design through natural language prompting, with the goal of streamlining workflows and enhancing the extraction of insights from business data.

Master the development of multimodal applications using Mistral models, with a focus on OCR, document understanding, and vision-text search. This practical training guides you through pipeline implementation, NLP integration, and enterprise-grade design, available online or in Riga.

This live, instructor-guided training, delivered at Riga (either online or on-site), is designed for intermediate data scientists and developers seeking to implement NLP techniques using Python within the Google Colab environment.

Following the completion of this program, participants will be equipped to:

• Comprehend the fundamental concepts underlying natural language processing.
• Apply preprocessing and cleaning methods to text data for NLP applications.
• Implement sentiment analysis using the NLTK and SpaCy libraries.
• Manage text data via Google Colab to support scalable and collaborative development efforts.

This live, instructor-led training in Riga (online or onsite) is tailored for intermediate researchers, analysts, and knowledge workers seeking to utilize Claude AI for data processing, information synthesis, and research automation.

By the end of the session, participants will be equipped to:

• Apply Claude AI to streamline literature reviews and research synthesis.
• Summarize reports, research papers, and long-form content.
• Extract significant insights and trends from structured and unstructured data.
• Integrate Claude AI into existing research and knowledge management workflows.

This instructor-led training in Riga targets ML engineers seeking to master self-hosting and fine-tuning Devstral and Mistral models. Participants learn practical governance, monitoring, and compliance techniques to deploy open-source AI with confidence in production environments.

This instructor-led, live training in Riga (online or onsite) targets beginner to intermediate content creators, writers, and marketers who aim to use Claude AI for content generation, editing, and summarization to improve blogs, reports, and marketing materials.

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

• Utilize Claude AI for brainstorming and expanding content ideas.
• Enhance writing through AI-assisted editing and proofreading.
• Create summaries for long-form content and reports.
• Streamline the creation of marketing copy for various platforms.

This live, instructor-led training in Riga (delivered online or on-site) is designed for advanced professionals seeking to refine and adapt AI models on Ollama to boost performance and meet domain-specific requirements.

By the conclusion of this program, participants will have the ability to:

• Configure an efficient workspace for fine-tuning AI models on Ollama.
• Structure datasets for both supervised fine-tuning and reinforcement learning.
• Tune AI models for optimal performance, accuracy, and efficiency.
• Implement customized models within production environments.
• Measure model progress and guarantee robust outcomes.

Gain expertise in cost-efficient Mistral LLM architectures through this 14-hour live training in Riga. Discover how to deploy, optimize, and scale Mistral Medium 3 for peak throughput and minimal cost, leveraging batching, quantization, and efficient serving strategies tailored for enterprise needs.

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

By the end of this program, 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 live, instructor-led training in Riga (delivered online or on-site) targets intermediate software developers and AI engineers seeking to integrate Claude AI into their systems, develop smart chatbots, and augment software capabilities with AI-powered automation.

By the end of the session, participants will be equipped to:

• Utilize the Claude AI API to embed AI into their applications.
• Build intelligent chatbots and virtual assistants.
• Enhance application features through AI-driven automation and NLP.
• Optimize and fine-tune Claude AI models for specific requirements.

This live training in Riga explores Le Chat Enterprise, a secure and governed private ChatOps solution for conversational AI. Participants will learn to deploy and configure the platform, integrating it with enterprise applications while enabling RBAC, SSO, and compliance controls to support scalable, secure AI workflows.

Gain proficiency in Devstral through this live training session hosted in Riga. The curriculum encompasses architecture, agentic workflow design, and tool integration. Suited for advanced engineers, the course utilizes hands-on labs to construct coding agents that improve both productivity and security in modern development settings.

This instructor-led live training in Riga (online or onsite) is designed for beginner-level professionals looking to incorporate Claude AI into their daily operations to elevate efficiency and automation.

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

• Utilizing Claude AI to automate repetitive tasks and optimize workflows.
• Improving personal and team productivity via AI-powered automation.
• Integrating Claude AI with established business tools and platforms.
• Enhancing AI-driven decision-making and task management processes.

This live, instructor-led training in Riga, conducted online or on-site, is tailored for intermediate-level professionals looking to deploy, optimize, and integrate LLMs using Ollama.

By the end of this course, participants will be capable of:

• Setting up and deploying LLMs using Ollama.
• Optimizing AI models for enhanced performance and efficiency.
• Leveraging GPU acceleration for superior inference speeds.
• Integrating Ollama into various workflows and applications.
• Monitoring and maintaining long-term AI model performance.

This instructor-led, live training session, available either online or onsite, is designed for mid-level data scientists, AI developers, and technology enthusiasts aiming to leverage LLMs for diverse NLP tasks and the creation of varied, novel content.

Upon completion, participants will be equipped to:

• Set up a development environment equipped with LLMs and necessary tools.
• Skilfully execute NLU and NLI tasks using LLMs.
• Effectively extract, infer, and leverage knowledge graphs.
• Create and control dialogues with LLMs for conversational applications.
• Assess the quality and diversity of content produced by LLMs and generative AI.
• Implement ethical guidelines to ensure equitable and responsible LLM usage.

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

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

• Grasp the core principles of fine-tuning for NLP tasks.
• Adapt pre-trained models like GPT, BERT, and T5 for specific NLP use cases.
• Tune hyperparameters to enhance model performance.
• Assess and deploy fine-tuned models in production environments.

This instructor-led training in Riga supports advanced AI engineers in deploying and securing Mistral Medium 3. Learn to optimize inference costs, implement multimodal workflows, and apply enterprise compliance standards. The course includes hands-on labs covering both API and self-hosted setups.

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

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

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

This two-day advanced course is designed for developers already integrating AI coding tools like Cursor, Claude Code, or Copilot into their workflow. It focuses on delegating comprehensive tasks to autonomous agents and constructing a robust personalisation stack comprising Rules, AGENTS.md, Skills, MCP, and Agents. Participants will learn to build and connect MCP servers, execute parallel agent operations, and adopt structured agentic workflows. The curriculum is tool-agnostic and serves as a continuation of the Foundations course.

This two-day course provides an introductory overview of AI-assisted software development, tailored for individuals new to these tools, including those with minimal or no coding background. The curriculum explores the underlying mechanics of these tools, strategies for directing them via effective prompts, and practical applications for common tasks such as developing a small project from the ground up, integrating into an existing codebase, and evaluating outcomes. The content is tool-agnostic, applicable to platforms like Cursor, Claude Code, Copilot, and comparable solutions. It serves as a prerequisite for the 'Agentic AI Development: Advanced Workflows' course.

This two-part training initiative is tailored for software delivery teams aiming to embed AI-driven engineering practices into their routine operations via Claude Code.

This course Riga provides training in artificial intelligence technologies, covering data analysis, distributed machine learning, and Natural Language Processing to assist developers in building large-scale intelligent systems. The content offers an in-depth look at practical methods for Spark MLlib, recommendation engines, Word2Vec-based semantic analysis, and RNN-LSTM architectures. It empowers professionals to convert raw data into automated decision-making pipelines suitable for production environments, thereby enhancing the core capability to construct intelligent systems.

This instructor-led, live training in Riga is designed for intermediate developers aiming to architect, construct, and test AI agents using the Claude API and the Agent SDK.

By the conclusion of this programme, learners will be capable of:

• Invoking the Messages API with system prompts, structured outputs, and streaming
• Defining tools and implementing a dependable tool-use loop
• Linking agents to external systems via MCP servers
• Creating and executing agents with the Claude Agent SDK, including permissions and subagents
• Minimising costs and latency through prompt caching and effective context handling
• Testing, logging, and monitoring agent behaviour using a small evaluation set

This instructor-led, live training in Riga is tailored for intermediate to advanced developers and tech leads looking to configure and scale Claude Code for dependable team integration.

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

• Structuring CLAUDE.md files, settings, and permissions for specific repositories and teams
• Creating custom subagents with specialized roles and defined tool access
• Writing hooks to automatically enforce formatting, testing, and safety standards
• Packaging recurring workflows as Skills, slash commands, and plugins
• Connecting Claude Code to external systems via MCP servers
• Running Claude Code non-interactively in scripts and CI pipelines, with critical review of its output

This instructor-led, live training in Riga is tailored for: Business professionals looking to build simple internal utilities and prototypes.

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

• Describe a small tool in a manner that allows AI to construct it
• Create a working prototype using Lovable
• Utilize Claude Code for simple helper tools with guidance
• Determine when a prototype necessitates developer support

This live, instructor-led program, hosted in Riga, is tailored for professionals and leaders aiming to offload comprehensive tasks to Claude.

By the conclusion of the training, attendees will gain the ability to:

• Assess what Claude Cowork can independently accomplish
• Delegate research, documentation, and file management duties
• Orchestrate the planning, evaluation, and correction of assigned work
• Understand limitations and implement safe usage protocols

Claude Cowork shifts from responding to individual prompts to executing entire workflows, including research, document preparation, and file management. This course guides you through drafting effective assignments, validating execution plans, and auditing final outputs. Participants will delegate three practical tasks and configure a scheduled workflow.

This live, instructor-led training in Riga is designed for knowledge workers, assistants, and project or department leads who wish to entrust Claude with comprehensive tasks rather than engaging in step-by-step dialogue.

Upon completion, participants will be equipped to:

• Distinguish between conversational interaction and delegated work within Cowork
• Structure assignments by defining goals, resources, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations directly from a folder
• Delegate research processes from initial inquiry to final report generation
• Leverage plugins, skills, and connectors within the Cowork environment
• Establish approval checkpoints, backup protocols, and secure folder access

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions featuring instructor guidance, discussions, and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Each participant will have delegated three real-world tasks to Cowork, reviewed the outcomes, and implemented a scheduled task.

Customization Options

• Contact us to discuss and arrange customized training tailored to this course.

Ollama is an open-source tool that enables the local execution of large language models on both consumer and enterprise hardware. It streamlines model quantization, GPU allocation, and API serving through a single command-line interface. This allows organizations to self-host LLMs like Llama, Mistral, and Qwen, thereby avoiding the transmission of prompts or data to OpenAI, Anthropic, or Google.