Natural Language Processing (NLP) Training in Sintra

This instructor-led, live training in Sintra (online or onsite) is designed for senior management professionals who wish to understand what LLMs are, explore their potential impact on business operations, and evaluate the practical uses of AI tools such as ChatGPT, Microsoft Copilot, or Grok for real-world tasks like content creation, data summarization, and decision support.

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

• Understand what LLMs are and how tools like ChatGPT and Copilot function.
• Use prompt techniques to get practical, reliable results from LLMs.
• Evaluate real use cases such as email drafting, summarizing documents, and productivity automation.
• Identify investment opportunities and strategic applications for AI adoption.

This instructor-led, live training in Sintra (online or onsite) is designed for cybersecurity professionals and data scientists at an intermediate level who wish to leverage LLMs to strengthen cybersecurity measures and threat intelligence.

Upon completing this training, participants will be able to:

• Grasp the role of LLMs in cybersecurity.
• Implement LLMs for threat detection and analysis.
• Utilize LLMs for security automation and response.
• Integrate LLMs with existing security infrastructure.

This instructor-led live training in Sintra (online or on-site) is targeted at intermediate-level data scientists seeking to acquire a comprehensive grasp and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).

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

• Understanding the structure and operation of transformer models.
• Optimizing and fine-tuning LLMs for specific tasks and use cases.
• Grasping the core principles and methodologies of reinforcement learning.
• Learning how reinforcement learning techniques can boost LLM performance.

This instructor-led, live training in Sintra (online or onsite) targets beginner to intermediate software developers and data scientists who wish to implement LLMs within speech recognition and synthesis systems.

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

• Grasp the role of LLMs in speech technologies.
• Implement LLMs to achieve accurate speech recognition and natural-sounding speech synthesis.
• Integrate LLMs with speech recognition engines and synthesizers.
• Evaluate and enhance the performance of speech systems using LLMs.
• Keep abreast of current trends and future directions in speech technologies.

This instructor-led, live training in Sintra (online or on-site) is designed for intermediate to advanced-level machine learning engineers, AI developers, and data scientists who wish to learn how to employ QLoRA to efficiently fine-tune large models for specific tasks and customisations.

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

• Comprehend the theory behind QLoRA and quantization techniques for LLMs.
• Implement QLoRA for fine-tuning large language models in domain-specific applications.
• Optimize fine-tuning performance on limited computational resources through quantization.
• Deploy and evaluate fine-tuned models in real-world applications efficiently.

This instructor-led, live training in Sintra (online or onsite) is aimed at intermediate-level to advanced-level developers and data scientists who wish to master LlamaIndex for developing innovative LLM-powered applications.

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

• Set up and configure LlamaIndex for use with LLMs.
• Index and query custom datasets using LlamaIndex to enhance LLM functionality.
• Design and develop sophisticated applications that utilize LlamaIndex and LLMs.
• Understand and apply best practices for working with LLMs and LlamaIndex.
• Navigate the ethical considerations involved in deploying LLM-powered applications.

Ollama is a platform for running large language and multimodal models locally, supporting governance and responsible AI practices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to implement fairness, transparency, and accountability in Ollama-powered applications.

By the end of this training, participants will be able 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 processing, multimodal interactions, and agentic applications.

This live, instructor-led training session, available online or onsite, is tailored for professionals at intermediate to advanced levels who aim to construct, deploy, and oversee AI agents utilizing Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.

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

• Comprehend the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Architect and deploy AI agents leveraging Mistral models for specific enterprise and developer scenarios.
• Seamlessly integrate coding systems, connectors, and enterprise data into agent workflows.
• Refine performance, cost-efficiency, and compliance for agents powered by Mistral.

Course Delivery Format

• Engaging lectures and group discussions.
• Extensive exercises and practical drills.
• Practical implementation within a live-lab environment.

Customization Availability

• Please contact us to discuss arrangements for a customized training experience.

This instructor-led, live training in Sintra (online or onsite) is aimed at intermediate-level web developers and UX designers who wish to leverage LangChain to create intuitive and user-friendly web applications.

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

• Understand the fundamental concepts of LangChain and its role in enhancing web user experience.
• Implement LangChain in web apps to create dynamic and responsive interfaces.
• Integrate APIs into web apps to improve interactivity and user engagement.
• Optimize user experience using LangChain’s advanced customization features.
• Analyze user behavior data to fine-tune web app performance and experience.

This instructor-led, live training in Sintra (online or onsite) is aimed at beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.

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

• Understand the basics of API integration with LangChain.
• Automate repetitive workflows using LangChain and Python.
• Utilize LangChain to connect various APIs for efficient business processes.
• Create and automate custom workflows using APIs and LangChain’s automation capabilities.

Mistral AI is an open and enterprise-ready AI platform that provides features for secure, compliant, and responsible AI deployment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level compliance leads, security architects, and legal/ops stakeholders who wish to implement responsible AI practices with Mistral by leveraging privacy, data residency, and enterprise control mechanisms.

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

• Implement privacy-preserving techniques in Mistral deployments.
• Apply data residency strategies to meet regulatory requirements.
• Set up enterprise-grade controls such as RBAC, SSO, and audit logs.
• Evaluate vendor and deployment options for compliance alignment.

Format of the Course

• Interactive lecture and discussion.
• Compliance-focused case studies and exercises.
• Hands-on implementation of enterprise AI controls.

Course Customization Options

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

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

This instructor-led live training (available online or onsite) is designed for intermediate-level AI professionals seeking to build, deploy, and optimize vision and language models using the CANN SDK for production-grade solutions.

Upon completing this training, participants will be capable of:

• Deploying and optimizing CV and NLP models utilizing CANN and AscendCL.
• Leveraging CANN utilities to convert models and integrate them into active pipelines.
• Enhancing inference performance for tasks such as detection, classification, and sentiment analysis.
• Constructing real-time CV/NLP pipelines tailored for edge or cloud-based deployment environments.

Course Format

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

Customization Options

• For those requiring customized training for this course, please contact us to arrange.

This instructor-led, live training in Sintra (online or onsite) is designed for intermediate-level data scientists and developers wishing 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 (online or onsite) is aimed at intermediate-level AI developers and localization engineers who wish to design scalable, automated translation pipelines using both proprietary and open-source LLMs.

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

• Design and deploy translation workflows using modern LLM frameworks and APIs.
• Integrate open-source and commercial models into scalable translation systems.
• Optimize translation quality through fine-tuning, prompt engineering, and automation.
• Implement cost-efficient and compliant translation infrastructure for enterprise environments.

Large language models (LLMs) and autonomous agent frameworks such as AutoGen and CrewAI are transforming the way DevOps teams automate processes like change tracking, test generation, and alert triage. They achieve this by mimicking human-like collaboration and decision-making capabilities.

This instructor-led training, available online or onsite, is tailored for advanced engineers aiming to design and implement DevOps automation workflows driven by large language models (LLMs) and multi-agent systems.

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

• Integrate LLM-based agents into CI/CD workflows to enable intelligent automation.
• Automate processes such as test generation, commit analysis, and change summarization using agents.
• Orchestrate multiple agents to triage alerts, generate responses, and provide DevOps recommendations.
• Develop secure and maintainable agent-driven workflows using open-source frameworks.

Course Format

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

Customization Options

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

This instructor-led, live training in Sintra (online or onsite) is designed for advanced professionals interested in exploring the latest techniques in NLU and semantic understanding.

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

• Comprehend the principles of semantic understanding and contextual AI.
• Work with state-of-the-art models like transformers and pre-trained language models.
• Implement NLU techniques for improved AI language comprehension.
• Develop applications that leverage semantic analysis and contextual AI.

This instructor-led, live training in Sintra (online or onsite) is designed for intermediate-level software developers and AI engineers who wish to integrate Claude AI into their applications, build AI-powered chatbots, and enhance software functionality with AI-driven automation.

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

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

This instructor-led, live training in Sintra (online or onsite) is aimed at advanced-level professionals who wish to master AI-driven NLG techniques for chatbot and virtual assistant applications.

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

• Understand the core principles of NLG for conversational AI.
• Leverage deep learning techniques to enhance chatbot dialogue generation.
• Integrate state-of-the-art NLG models like GPT-3 into chatbot frameworks.
• Apply contextual AI for improving conversational coherence and fluidity.

This instructor-led, live training in Sintra (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 Sintra (online or onsite) is aimed at intermediate-level professionals who wish 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:

• Understand 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 for improved model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led live training in Sintra (online or onsite) is designed for intermediate developers and software engineers who aim to build AI-powered applications using the LangChain framework.

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

• Understand the fundamentals of LangChain and its components.
• Integrate LangChain with large language models (LLMs) like GPT-4.
• Build modular AI applications using LangChain.
• Troubleshoot common issues in LangChain applications.

An exploration of artificial intelligence fundamentals demonstrates how intelligent technology transforms digital strategy, automation, and decision-making processes within enterprise operations. The course examines core concepts including the history of AI, problem-solving frameworks, knowledge representation, reasoning under uncertainty, and machine learning paradigms, alongside aspects of communication, perception, and autonomous action. It equips executives and architects to evaluate AI-driven transformation opportunities, assess emerging technology trends, and implement practical intelligent solutions to enhance business agility.

A two-day course tailored for developers who already utilise AI coding tools such as Cursor, Claude Code or Copilot. It covers delegating complete tasks to agents, building the personalisation stack (Rules, AGENTS.md, Skills, MCP, Agents), connecting and building MCP servers, running agents in parallel, and a structured agentic workflow. The material is tool-agnostic. It follows the Foundations course.

This 2-step training programme is designed for software delivery teams that want to integrate AI-assisted engineering workflows into their day-to-day activities using Claude Code.

This instructor-led, live training in Sintra (online or onsite) is aimed at observability and SRE engineers who want to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

Artificial intelligence training covers data analysis, distributed artificial intelligence, and natural language processing. The course aims to provide developers and data scientists with the application technologies needed to build large-scale AI systems. Course content includes distributed machine learning, Apache Spark MLlib, and the core principles of MapReduce-based predictions. It also delves into practical methods for recommendation engines, text classification, semantic analysis using Word2Vec, and RNN-LSTM architectures. This course helps professionals deploy artificial intelligence pipelines suitable for production environments, transforming raw data into automated decision-making capabilities.

This intensive 2-day programme is tailored for professionals aiming to evolve from using AI merely as a casual chatbot to embedding it as an indispensable digital work partner.

The course combines strategic theoretical insights (fully aligned with the 2026 AI landscape) with extensive practical application, featuring 9 hands-on exercises directly applied to participants' real-world business scenarios.

• Day 1 (In-Person): Mastering the Anthropic Ecosystem. Focuses on advanced prompting techniques, profile personalization (Custom Instructions), and leveraging persistent workspaces (Projects, Artifacts, Skills) to manage internal knowledge bases.
• Day 2 (Online): Automation and Ecosystem Integration. Focuses on 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).

Course objectives turn software / AI engineers into legal engineers — the people who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants build the full core stack: ingest and extract messy real-world legal data, search and retrieve it, add retrieval-augmented generation (RAG) with citations, keep it private on a local model and prove it, run a defensible AI review with court-ready metrics, and package the result for deployment.

Natural Language Processing converts raw text into actionable intelligence, allowing machines to understand human communication. The course explores fundamental techniques including corpus analysis, sentence structure parsing, text preprocessing pipelines, and dimensionality reduction using SVD and NMF methods. Participants are guided through practical implementations of document clustering, topic modelling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation in Python. This equips practitioners with the skills to build 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-grade and enterprise hardware. It consolidates complex processes such as model quantization, GPU resource allocation, and API service delivery into a single command-line interface. This allows organizations to self-host powerful LLMs like Llama, Mistral, and Qwen, ensuring that prompts and data never leave their infrastructure or are sent to third-party providers like OpenAI, Anthropic, or Google.