Large Language Models (LLMs) Training in Athens

This instructor-led, live training in Athens (online or onsite) is designed for senior management professionals eager to understand LLMs, explore their potential impact on business operations, and evaluate 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:

• Comprehend what LLMs are and how tools like ChatGPT and Copilot operate.
• Apply prompting techniques to obtain practical and reliable results from LLMs.
• Assess real-world use cases, including email drafting, document summarization, and productivity automation.
• Identify investment opportunities and strategic applications for AI adoption.

This instructor-led live course in Athens, delivered online or on-site, targets senior management teams aiming to understand the strategic impact of LLMs and enterprise AI tools. Learners will investigate how to embed these tools into senior-level workflows, refine prompt engineering skills, and identify opportunities for improved productivity and ROI through AI integration.

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

• Gain insight into how LLMs operate and how platforms like ChatGPT and Copilot utilize them.
• Utilize prompt-based interactions to streamline and speed up tasks.
• Apply AI tools to practical business scenarios, such as drafting emails, summarizing reports, and reviewing agreements.
• Evaluate the strategic benefits, limitations, and licensing factors relevant to LLM adoption.

This instructor-led, live training in Athens (delivered online or onsite) targets intermediate to advanced AI researchers, data scientists, and developers aiming to understand, fine-tune, and implement Meta AI's Large Language Models for a variety of NLP applications.

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

• Gaining insight into the architecture and operation of Meta AI's Large Language Models.
• Setting up and fine-tuning Meta AI LLMs for particular use cases.
• Building LLM-based applications for text summarization, chatbots, and sentiment analysis.
• Efficiently optimizing and deploying large language models.

This instructor-led, live training in Athens (online or onsite) targets intermediate-level AI professionals, business analysts, and technology leaders seeking to understand generative AI principles and LLM applications in business contexts. Participants will study transformers, prompt engineering, and the ethical aspects of deploying these models for real-world solutions.

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

• Grasp 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.

This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level AI professionals, ethicists, data scientists, engineers, and policy makers or stakeholders seeking to understand and navigate the ethical landscape of LLMs.

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

• Identify the 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.

This instructor-led, live training in Athens (online or onsite) is tailored for intermediate-level NLP practitioners and data scientists, content creators and translators, and global businesses wishing to utilise LLMs for language translation and multilingual content creation.

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

• Grasp the principles of cross-lingual learning and translation with LLMs.
• Implement LLMs for translating content between diverse languages.
• Create and manage multilingual datasets for training LLMs.
• Formulate strategies to uphold consistency and quality in translation.

This live, instructor-led training in Athens (available online or on-site) is designed for intermediate-level financial analysts, data scientists, and investment professionals looking to harness the power of LLMs for financial market analysis and prediction.

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

• Understand the application of LLMs in financial market analysis.
• Utilize LLMs to process financial news, reports, and data to gain market insights.
• Develop predictive models for stock prices, market trends, and economic indicators.
• Integrate LLM insights into investment decision-making processes.

This live, instructor-led training in Athens (online or onsite) targets intermediate-level environmental scientists, researchers, data analysts, and policy makers or advocates interested in using LLMs for environmental modeling and analysis.

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

• Grasp how LLMs are applied within environmental science.
• Leverage LLMs to analyze and model environmental data.
• Interpret LLM outputs for environmental impact assessments.
• Effectively communicate findings to influence policy and conservation initiatives.

This instructor-led live training, delivered in Athens (online or onsite), is designed for intermediate-level VR and AR developers, game designers, and AI engineers who wish to integrate LLMs into their applications to create more engaging and responsive environments.

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

• Understand the role of LLMs in creating immersive VR and AR experiences.
• Develop VR and AR applications that utilize LLMs for interactive dialogues and content creation.
• Integrate LLMs with VR and AR development tools for enhanced user engagement.
• Apply best practices for designing AI-driven narratives and interactions in virtual spaces.

This instructor-led, live training in Athens (online or on-site) is tailored for intermediate-level data scientists, machine learning engineers, and software developers who aim to apply Large Language Models (LLMs) to multimodal data for advanced AI applications.

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

• Understand the principles of multimodal learning with LLMs.
• Implement LLMs to process and analyze text, image, and audio data.
• Develop applications that leverage the strengths of multimodal data integration.
• Evaluate the performance of multimodal LLM systems.

This guided, live training session in Athens (online or on-site) targets intermediate-level cybersecurity experts and data scientists looking to leverage LLMs to improve security measures and threat intelligence capabilities.

Upon completion of this training, participants will be capable of:

• Grasping the function of LLMs within the cybersecurity domain.
• Deploying LLMs for the detection and analysis of threats.
• Applying LLMs to automate security processes and response mechanisms.
• Connecting LLMs with current security infrastructure.

This instructor-led live training in Greece (online or onsite) is designed for intermediate-level data scientists and business analysts who wish to leverage large language models (LLMs) to forecast trends and behaviors across various industries.

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

• Grasp the core principles of LLMs and their application within predictive analytics.
• Deploy LLMs to analyze and predict data trends in diverse industries.
• Assess the efficacy of predictive models constructed using LLMs.
• Seamlessly integrate LLMs into current data processing workflows.

This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level data scientists who wish to acquire a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).

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

• Understand the components and functionality of transformer models.
• Optimize and fine-tune LLMs for specific tasks and applications.
• Understand the core principles and methodologies of reinforcement learning.
• Learn how reinforcement learning techniques can enhance the performance of LLMs.

This instructor-led, live training in [Greece] (available online or onsite) targets intermediate-level content creators, marketers, and educational technologists who wish to leverage LLMs to produce high-quality, diverse, and engaging content across various fields.

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.

This instructor-led, live training in Athens (online or onsite) is designed for educators, EdTech professionals, and researchers with varying levels of experience who wish to leverage LLMs to create personalized educational experiences.

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

• Understand the architecture and capabilities of LLMs.
• Identify opportunities for personalizing educational content using LLMs.
• Design adaptive learning platforms that utilize LLMs for content personalization.
• Implement LLM-driven strategies to enhance student engagement and learning outcomes.
• Evaluate the effectiveness of LLMs in educational settings and make data-driven decisions for improvements.

This live, instructor-led training in Athens (available online or onsite) is designed for intermediate-level ML practitioners and AI developers looking to fine-tune and deploy open-weight models like LLaMA, Mistral, and Qwen for specific business or internal applications.

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

• Understand the ecosystem and differences between open-source LLMs.
• Prepare datasets and fine-tuning configurations for models like LLaMA, Mistral, and Qwen.
• Execute fine-tuning pipelines using Hugging Face Transformers and PEFT.
• Evaluate, save, and deploy fine-tuned models in secure environments.

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

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

• Grasp the role of LLMs within speech technologies.
• Implement LLMs for accurate speech recognition and natural-sounding speech synthesis.
• Integrate LLMs with speech recognition engines and speech synthesizers.
• Evaluate and enhance the performance of speech systems using LLMs.
• Stay informed about current trends and future directions in speech technologies.

This instructor-led, live training in Athens (online or onsite) is designed for beginner to intermediate-level customer support and IT professionals who wish to apply LLMs to build responsive and intelligent customer support chatbots.

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

• Comprehend the fundamentals and architecture of Large Language Models (LLMs).
• Design and integrate LLMs into customer support systems.
• Enhance the responsiveness and user experience of chatbots.
• Address ethical considerations and ensure compliance with industry standards.
• Deploy and maintain an LLM-based chatbot for real-world applications.

This instructor-led, live training in Athens (online or in-person) is designed for intermediate-level data scientists and AI engineers seeking to fine-tune large language models more cost-effectively and efficiently, utilizing methods such as LoRA, Adapter Tuning, and Prefix Tuning.

Upon completion of this training, participants will be capable of:

• Understanding the theory underlying parameter-efficient fine-tuning approaches.
• Implementing LoRA, Adapter Tuning, and Prefix Tuning using Hugging Face PEFT.
• Evaluating the performance and cost trade-offs of PEFT methods compared to full fine-tuning.
• Deploying and scaling fine-tuned LLMs with lower compute and storage requirements.

This instructor-led, live training in Athens (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.

This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level data and marketing professionals aiming to leverage LLMs to analyze and interpret public sentiment across diverse text sources, including social media posts, product reviews, and customer feedback.

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

• Grasp the core principles of sentiment analysis and its application via LLMs.
• Preprocess and prepare datasets tailored for sentiment analysis.
• Train and fine-tune LLMs to accurately capture sentiment within text.
• Analyze sentiment in real-time from social media and other textual sources.
• Integrate insights from sentiment analysis into business strategies and decision-making frameworks.

This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level software developers and technical writers who aim to leverage LLMs to streamline their coding workflows and produce detailed, comprehensive documentation.

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

• Understand the role of LLMs in automating code generation and software documentation.
• Utilize LLMs to create accurate and efficient code snippets and documentation.
• Integrate LLMs into their software development lifecycle for enhanced productivity.
• Maintain high-quality documentation standards using automated tools.
• Address ethical considerations and best practices for using AI in software development.

This instructor-led, live training in Athens (online or onsite) targets intermediate-level business professionals and data analysts who wish to harness the power of LLMs for extracting business insights.

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

• Understand the fundamentals and applications of LLMs in the context of business intelligence.
• Apply LLMs to analyze large datasets and extract meaningful insights.
• Integrate LLM-driven analytics into strategic business decision-making processes.
• Evaluate the ethical considerations and best practices for using LLMs in business.
• Anticipate future trends in AI and prepare for the evolving landscape of business intelligence.

This instructor-led, live training in Athens (online or on-site) targets intermediate to advanced developers and data scientists seeking to master LlamaIndex for the development of innovative, LLM-powered applications.

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

• Install 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.

This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level AI researchers, machine learning professionals, and data scientists who wish to utilise LlamaIndex to enhance AI model capabilities, making them more accurate and reliable for various applications.

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

• Understand the principles and components of LlamaIndex.
• Ingest and structure data for use with LLMs.
• Implement context augmentation to improve AI model performance.
• Integrate LlamaIndex into existing AI systems and workflows.

This instructor-led, live training session (online or onsite) is designed for intermediate-level professionals who aim to leverage prompt engineering and few-shot learning to optimize LLM performance for real-world applications.

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

• Understand the fundamental principles of prompt engineering and few-shot learning.
• Design effective prompts for various NLP tasks.
• Leverage few-shot techniques to adapt LLMs with minimal data.
• Optimize LLM performance for practical applications.

This live, instructor-led session (available online or on-site) is tailored for advanced engineers, AI specialists, and localization leaders aiming to implement large language model (LLM) systems for automated translation, quality evaluation, and enterprise governance.

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

• Construct enterprise-grade LLM localization pipelines that integrate both open-source and proprietary models.
• Execute automated QA workflows and apply quality metrics to ensure translation consistency.
• Define governance and approval structures for multilingual content creation.
• Implement scalable, auditable LLM-based localization systems within secure environments.

This live, instructor-led training in Athens empowers data engineers to effectively integrate LLMs into their SQL environments. Participants will learn to construct natural language pipelines, apply AI-driven optimization techniques, and design secure enterprise workflows for automated data analysis.

This live session in Athens guides practitioners in designing, constructing, and optimizing multimodal LLM workflows within Vertex AI. The curriculum explores Gemini models, long-context reasoning, and the integration of text, audio, and image data into cohesive pipelines. Practical labs ensure participants are prepared for real-world implementation.

Delivered as an instructor-led, live session (either online or onsite), this course is tailored for intermediate AI developers and localization engineers aiming to build scalable, automated translation pipelines utilizing both proprietary and open-source LLMs.

Upon completion, participants will be equipped to:

• Architect and release translation workflows leveraging contemporary LLM frameworks and APIs.
• Embed open-source and commercial models into scalable translation ecosystems.
• Enhance translation accuracy through fine-tuning, prompt engineering, and automation.
• Establish cost-effective and compliant translation infrastructure suited for enterprise settings.

This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level developers who wish to learn how to use generative AI with LLMs for various tasks and domains.

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

• Explain what generative AI is and how it works.
• Describe the transformer architecture that powers LLMs.
• Use empirical scaling laws to optimize LLMs for different tasks and constraints.
• Apply state-of-the-art tools and methods to train, fine-tune, and deploy LLMs.
• Discuss the opportunities and risks of generative AI for society and business.

Gain mastery over AI integration in PostgreSQL through this live, instructor-led training in Athens. You will learn to configure extensions, implement pgvector embeddings, and connect LLMs for immediate insights. Optimize your queries and build intelligent systems within a practical, hands-on live-lab setting.

This instructor-led, live training in Athens (online or onsite) is aimed at intermediate-level to advanced-level AI developers, architects, and product managers who wish to identify and mitigate risks associated with LLM-powered applications, including prompt injection, data leakage, and unfiltered output, while incorporating security controls like input validation, human-in-the-loop oversight, and output guardrails.

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

• Understand the core vulnerabilities of LLM-based systems.
• Apply secure design principles to LLM app architecture.
• Use tools such as Guardrails AI and LangChain for validation, filtering, and safety.
• Integrate techniques like sandboxing, red teaming, and human-in-the-loop review into production-grade pipelines.

This instructor-led, live training in Athens (online or onsite) is designed for intermediate to advanced professionals who want to customize pre-trained models for specific tasks and datasets.

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

• Grasp the principles of fine-tuning and its applications.
• Prepare datasets for fine-tuning pre-trained models.
• Fine-tune large language models (LLMs) for NLP tasks.
• Optimize model performance and address common challenges.

This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level data scientists, AI developers, and AI enthusiasts who aim to leverage LLMs for various NLP tasks and to create novel, diverse content for specific applications.

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

• Set up a development environment equipped with LLMs and essential tools.
• Expertly execute NLU and NLI tasks using LLMs.
• Effectively extract, infer, and utilize knowledge graphs.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate the quality and diversity of content generated by LLMs and generative AI.
• Apply ethical principles to ensure fairness and responsible use of LLMs.

This instructor-led, live training session Athens (online or onsite) targets beginner to intermediate-level developers seeking to utilize Large Language Models for various natural language tasks.

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

• Establish a development environment integrated with a popular LLM.
• Construct a foundational LLM and fine-tune it using custom datasets.
• Apply LLMs to diverse natural language tasks, such as summarizing text, answering questions, and generating content.
• Debug and evaluate LLM performance utilizing tools like TensorBoard, PyTorch Lightning, and Hugging Face Datasets.

This instructor-led, live training in Athens (online or onsite) is designed for observability and SRE engineers aiming to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

This instructor-led, live training in Athens (online or onsite) is aimed at IT support professionals who wish to use AI tools and automation platforms to streamline support processes, standardize responses, and reduce manual documentation effort.

This instructor-led, live training in Athens (online or onsite) is aimed at intermediate-level engineers and architects who wish to use Tencent Hunyuan to deploy large and MoE models with lower latency, stronger throughput, and better cost control.

By the end of this training, participants will be able to: explain Hunyuan production deployment patterns, optimize inference performance, implement batching and quantization strategies, and plan scalable serving operations.

This instructor-led live training in Athens (available online or onsite) is designed for intermediate developers, technical product teams, and AI professionals aiming to develop multimodal applications for creating and delivering image, 3D, and video content using Hunyuan models.

By the end of this course, participants will be able to: construct prompt-driven workflows, generate and assess multimodal assets, deliver outputs through apps or APIs, and integrate Hunyuan capabilities into enterprise product ecosystems.

Course objectives transform software and AI engineers into legal engineers — professionals capable of building AI for legal work (eDiscovery, review, investigations).

Over two days, participants construct the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, implementing retrieval-augmented generation (RAG) with citations, ensuring privacy via local models, executing defensible AI reviews with court-ready metrics, and packaging the result for deployment.

This instructor-led live training in Athens (online or onsite) is designed for beginner, intermediate, or advanced-level AI professionals who want to leverage MCP to connect AI assistants with external tools, data, and enterprise services.

By the end of this training, participants will be able to explain MCP concepts, identify key architecture components, set up a basic integration, and apply security best practices.

This instructor-led, live training in Athens (online or onsite) is aimed at intermediate-level enterprise architects who wish to use Model Context Protocol to design secure, scalable, and governable agent integration platforms for enterprise environments.

By the end of this training, participants will be able to explain MCP architecture and enterprise patterns, design secure integration platforms, apply governance and access controls, and evaluate deployment and scaling options.

This instructor-led, live training session in Athens (offered online or onsite) targets intermediate-level developers, architects, and platform engineers keen to utilise MCP for building reliable servers and clients suited for enterprise deployment and operational management.

By the end of this course, participants will be able to explain MCP architecture in practice, construct production-ready integrations, deploy and monitor MCP services, and apply strategies for versioning, resilience, and support.

This instructor-led, live training in Athens (online or onsite) is aimed at intermediate-level IT leaders, compliance professionals, security teams, and enterprise architects who wish to use sovereign AI principles and governance practices to design AI environments that protect sensitive data, support localization requirements, and reduce vendor lock-in.

By the end of this training, participants will be able to: explain sovereign AI concepts, evaluate hosting and governance options, define controls for prompts and logs, and create a practical adoption roadmap.