Hotel Faro & Beach Club

2, Praça Dom Francisco Gomes 2, 8000-168 Faro, Faro, Portugal, 8000-168 Faro

Situated in the middle of the city center of Faro, Hotel Faro offers stunning views of Ria Formosa and on the historic area, being the ideal place for holidays and business. The proximity to Faro International Airport, privileged access to the best beaches in the Algarve and all the services you have in your involvement, make Hotel Faro the perfect choice for your stay. This modern 4-star hotel offers 90 cozy and sophisticated rooms (including 3 suites), a magnificent rooftop with panoramic views of the city where the restaurant are located, the bar and a heated hydrotherapeutic pool. Hotel Faro also offers garage, GYM & Dayspa, 4 multifunctional rooms and a beach club situated on the island of Faro. At the beach season, the offer also includes a daily transfer service to the Beach Club and boating from Ria Formosa, considered one of the 7 wonders of Portugal.

Subcategories (9)

Category for Large Language Models (LLMs)

Large Language Models (LLMs)
Category for Small Language Models (SLMs)

Small Language Models (SLMs)
Category for Natural Language Understanding (NLU)

Natural Language Understanding (NLU)
Category for Natural Language Generation (NLG)

Natural Language Generation (NLG)
Category for Sentiment Analysis

Sentiment Analysis
Category for Spark NLP

Spark NLP
Category for TextBlob

TextBlob
Category for Hugging Face

Hugging Face
Category for Speech Recognition

Speech Recognition

Explore Our Courses

Generative AI and Large Language Models (LLMs)

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at intermediate-level AI professionals, business analysts, and technology leaders who wish to understand the principles of generative AI and the applications of LLMs in business settings. Participants will learn about transformers, prompt engineering, and ethical considerations in deploying these models for real-world solutions. By the end of this training, participants will be able to:
  • Understand the underlying principles of generative AI and large language models.
  • Implement and fine-tune LLMs for specific business applications.
  • Apply prompt engineering techniques for optimal model outputs.
  • Recognize ethical considerations and manage risks in LLM deployment.
Read more...

Ethical Deployment of LLMs

 7 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at intermediate-level AI professionals and ethicists, data scientists and engineers, and policy makers and stakeholders who wish to understand and navigate the ethical landscape of LLMs. By the end of this training, participants will be able to:
  • Identify ethical issues and challenges associated with LLMs.
  • Apply ethical frameworks and principles to LLM deployment.
  • Assess the societal impact of LLMs and mitigate potential risks.
  • Develop strategies for responsible AI development and usage.
Read more...

LLMs for Predictive Analytics

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at intermediate-level data scientists and business analysts who wish to utilize large language models (LLMs) to forecast trends and behaviors in various industries. By the end of this training, participants will be able to:
  • Understand the fundamentals of LLMs and their role in predictive analytics.
  • Implement LLMs to analyze and forecast data in various industries.
  • Evaluate the effectiveness of predictive models using LLMs.
  • Integrate LLMs with existing data processing pipelines.
Read more...

LLMs for Content Generation

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at intermediate-level content creators, marketers, and educational technologists who wish to harness the power of LLMs for generating high-quality, diverse, and engaging content across various domains. By the end of this training, participants will be able to:
  • Understand the capabilities of LLMs and their application in content generation.
  • Set up and use LLMs for generating various types of content.
  • Apply best practices for prompting and fine-tuning LLMs to produce desired outputs.
  • Evaluate the quality of AI-generated content and refine it for specific audiences.
  • Explore advanced techniques for creative and multi-modal content generation with LLMs.
Read more...

Fine-Tuning Large Language Models Using QLoRA

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at intermediate-level to advanced-level machine learning engineers, AI developers, and data scientists who wish to learn how to use QLoRA to efficiently fine-tune large models for specific tasks and customizations.By the end of this training, participants will be able to:
  • Understand the theory behind QLoRA and quantization techniques for LLMs.
  • Implement QLoRA in fine-tuning large language models for domain-specific applications.
  • Optimize fine-tuning performance on limited computational resources using quantization.
  • Deploy and evaluate fine-tuned models in real-world applications efficiently.
Read more...

Natural Language Processing (NLP) with Google Colab

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at intermediate-level 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.
Read more...

Ethical Considerations in AI Development with LangChain

 21 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at advanced-level AI researchers and policy makers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when building AI solutions with LangChain. By the end of this training, participants will be able to:
  • Identify key ethical issues in AI development with LangChain.
  • Understand the impact of AI on society and decision-making processes.
  • Develop strategies for building fair and transparent AI systems.
  • Implement ethical AI guidelines into LangChain-based projects.
Read more...

Introduction to Google Gemini AI

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to integrate AI functionalities into their applications using Google Gemini AI. By the end of this training, participants will be able to:
  • Understand the fundamentals of large language models.
  • Set up and use Google Gemini AI for various AI tasks.
  • Implement text-to-text and image-to-text transformations.
  • Build basic AI-driven applications.
  • Explore advanced features and customization options in Google Gemini AI.
Read more...

Intermediate Gemini AI for Public Sector Professionals

 16 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, assist with research, and improve productivity through more advanced AI interactions.By the end of this training, participants will be able to:
  • Craft more effective and tailored prompts for specific use cases.
  • Generate original and creative content using Gemini.
  • Summarize and compare complex information with precision.
  • Use Gemini for brainstorming, planning, and organizing ideas efficiently.
Read more...

Integrating LangChain with Cloud Services

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at advanced-level data engineers and DevOps professionals who wish to leverage LangChain's capabilities by integrating it with various cloud services. By the end of this training, participants will be able to:
  • Integrate LangChain with major cloud platforms such as AWS, Azure, and Google Cloud.
  • Utilize cloud-based APIs and services to enhance LangChain-powered applications.
  • Scale and deploy conversational agents to the cloud for real-time interaction.
  • Implement monitoring and security best practices in cloud environments.
Read more...

Building Conversational Agents with LangChain

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases. By the end of this training, participants will be able to:
  • Understand the fundamentals of LangChain and its application in building conversational agents.
  • Develop and deploy conversational agents using LangChain.
  • Integrate conversational agents with APIs and external services.
  • Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.
Read more...

AI-Driven NLG for Chatbots and Virtual Assistants

 21 Hours
This instructor-led, live training in Faro (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.
Read more...

Advanced LLMs for NLP Tasks

 21 Hours
This instructor-led, live training in Faro (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.
Read more...

Fine-Tuning for Natural Language Processing (NLP)

 21 Hours
This instructor-led, live training in Faro (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.
Read more...

Exploring Generative Pre-trained Transformers (GPT): From GPT-3 to GPT-4

 14 Hours
This instructor-led, live training in (online or onsite) 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.
Read more...

Introduction to Large Language Models (LLMs)

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use Large Language Models for various natural language tasks. By the end of this training, participants will be able to:
  • Set up a development environment that includes a popular LLM.
  • Create a basic LLM and fine-tune it on a custom dataset.
  • Use LLMs for different natural language tasks such as text summarization, question answering, text generation, and more.
  • Debug and evaluate LLMs using tools such as TensorBoard, PyTorch Lightning, and Hugging Face Datasets.
Read more...

Small Language Models (SLMs): Applications and Innovations

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at beginner-level to intermediate-level data scientists and developers who wish to implement and leverage Small Language Models in various applications. By the end of this training, participants will be able to:
  • Understand the architecture and functionality of Small Language Models.
  • Implement SLMs for tasks such as text generation and sentiment analysis.
  • Optimize and fine-tune SLMs for specific use cases.
  • Deploy SLMs in resource-constrained environments.
  • Evaluate and interpret the performance of SLMs in real-world scenarios.
Read more...

NLP: Natural Language Processing with R

 21 Hours
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
Read more...

Natural Language Processing (NLP) with Python

 28 Hours
This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.
Read more...

Artificial Intelligence (AI) Overview

 7 Hours
This course has been created for managers, solutions architects, innovation officers, CTOs, software architects and anyone who is interested in an overview of applied artificial intelligence and the nearest forecast for its development.
Read more...

AI Awareness for Telecom

 14 Hours
AI is a collection of technologies for building intelligent systems capable of understanding data and the activities surrounding the data to make "intelligent decisions". For Telecom providers, building applications and services that make use of AI could open the door for improved operations and servicing in areas such as maintenance and network optimization. In this course we examine the various technologies that make up AI and the skill sets required to put them to use. Throughout the course, we examine AI's specific applications within the Telecom industry. Audience
  • Network engineers
  • Network operations personnel
  • Telecom technical managers
Format of the course
  • Part lecture, part discussion, hands-on exercises
Read more...

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

 21 Hours
This course is intended for developers and data scientists who want to understand and implement artificial intelligence in their applications. Special focus is placed on data analytics, distributed AI, and natural language processing.
Read more...

Building Chatbots in Python

 21 Hours
ChatBots are computer programs that automatically simulate human responses via chat interfaces. ChatBots help organizations maximize their operations efficiency by providing easier and faster options for their user interactions. In this instructor-led, live training, participants will learn how to build chatbots in Python. By the end of this training, participants will be able to:
  • Understand the fundamentals of building chatbots
  • Build, test, deploy, and troubleshoot various chatbots using Python
Audience
  • Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
Read more...

Deep Learning for NLP (Natural Language Processing)

 28 Hours
In this instructor-led, live training in Faro, participants will learn to use Python libraries for NLP as they create 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.
Read more...

Natural Language Processing (NLP) - AI/Robotics

 21 Hours
This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python
Read more...

Natural Language Processing (NLP) with Deep Dive in Python and NLTK

 35 Hours
By the end of the training the delegates are expected to be sufficiently equipped with the essential python concepts and should be able to sufficiently use NLTK to implement most of the NLP and ML based operations. The training is aimed at giving not just an executional knowledge but also the logical and operational knowledge of the technology therein.
Read more...

Natural Language Processing (NLP) with Python spaCy

 14 Hours
This instructor-led, live training (online or onsite) is aimed at developers and data scientists who wish to use spaCy to process very large volumes of text to find patterns and gain insights. By the end of this training, participants will be able to:
  • Install and configure spaCy.
  • Understand spaCy's approach to Natural Language Processing (NLP).
  • Extract patterns and obtain business insights from large-scale data sources.
  • Integrate the spaCy library with existing web and legacy applications.
  • Deploy spaCy to live production environments to predict human behavior.
  • Use spaCy to pre-process text for Deep Learning
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.
  • To learn more about spaCy, please visit: https://spacy.io/
Read more...

Scaling Data Pipelines with Spark NLP

 14 Hours
This instructor-led, live training in Faro (online or onsite) is aimed at data scientists and developers who wish to use Spark NLP, built on top of Apache Spark, to develop, implement, and scale natural language text processing models and pipelines. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building NLP pipelines with Spark NLP.
  • Understand the features, architecture, and benefits of using Spark NLP.
  • Use the pre-trained models available in Spark NLP to implement text processing.
  • Learn how to build, train, and scale Spark NLP models for production-grade projects.
  • Apply classification, inference, and sentiment analysis on real-world use cases (clinical data, customer behavior insights, etc.).
Read more...

Text Summarization with Python

 14 Hours
In Python Machine Learning, the Text Summarization feature is able to read the input text and produce a text summary. This capability is available from the command-line or as a Python API/Library. One exciting application is the rapid creation of executive summaries; this is particularly useful for organizations that need to review large bodies of text data before generating reports and presentations. In this instructor-led, live training, participants will learn to use Python to create a simple application that auto-generates a summary of input text. By the end of this training, participants will be able to:
  • Use a command-line tool that summarizes text.
  • Design and create Text Summarization code using Python libraries.
  • Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17
Audience
  • Developers
  • Data Scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Read more...

Natural Language Processing (NLP) with TensorFlow

 35 Hours
TensorFlow™ is an open source software library for numerical computation using data flow graphs. SyntaxNet is a neural-network Natural Language Processing framework for TensorFlow. Word2Vec is used for learning vector representations of words, called "word embeddings". Word2vec is a particularly computationally-efficient predictive model for learning word embeddings from raw text. It comes in two flavors, the Continuous Bag-of-Words model (CBOW) and the Skip-Gram model (Chapter 3.1 and 3.2 in Mikolov et al.). Used in tandem, SyntaxNet and Word2Vec allows users to generate Learned Embedding models from Natural Language input. Audience This course is targeted at Developers and engineers who intend to work with SyntaxNet and Word2Vec models in their TensorFlow graphs. After completing this course, delegates will:
  • understand TensorFlow’s structure and deployment mechanisms
  • be able to carry out installation / production environment / architecture tasks and configuration
  • be able to assess code quality, perform debugging, monitoring
  • be able to implement advanced production like training models, embedding terms, building graphs and logging
Read more...

Last Updated:

Testimonials (5)

prompts engineering part

Michal - GE HealthCare

Course - Generative AI with Large Language Models (LLMs)

Hunter is fabulous, very engaging, extremely knowledgeable and personable. Very well done.

Rick Johnson - Laramie County Community College

Course - Artificial Intelligence (AI) Overview

Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject

Ali Kattan - 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

I did like the exercises.

Office for National Statistics

Course - Natural Language Processing with Python

Provisional Upcoming Courses (Contact Us For More Information)

Natural Language Processing (NLP) with Python

2025-06-09 09:30
28 hours
Hotel Faro & Beach Club

Building Conversational Agents with LangChain

2025-06-23 09:30
14 hours
Hotel Faro & Beach Club

AI-Driven NLG for Chatbots and Virtual Assistants

2025-07-07 09:30
21 hours
Hotel Faro & Beach Club

Introduction to Large Language Models (LLMs)

2025-07-21 09:30
14 hours
Hotel Faro & Beach Club

Ethical Deployment of LLMs

2025-08-01 09:30
7 hours
Hotel Faro & Beach Club

Advanced LLMs for NLP Tasks

2025-08-18 09:30
21 hours
Hotel Faro & Beach Club

Other regions in Portugal

Other Countries

These courses are also available in other countries

Consulting

Natural Language Processing (NLP) Consulting
Online Natural Language Processing (NLP) training in Faro, NLP (Natural Language Processing) training courses in Faro, Weekend NLP courses in Faro, Evening Natural Language Processing training in Faro, Natural Language Processing (NLP) instructor-led in Faro, Natural Language Processing (NLP) classes in Faro, NLP coaching in Faro, NLP on-site in Faro, Natural Language Processing instructor in Faro, Natural Language Processing (NLP) trainer in Faro, NLP private courses in Faro, NLP (Natural Language Processing) one on one training in Faro, Natural Language Processing boot camp in Faro, Evening NLP courses in Faro, Online NLP (Natural Language Processing) training in Faro, Weekend Natural Language Processing training in Faro, Natural Language Processing (NLP) instructor-led in Faro