Large Language Models (LLMs) Training in Berlin

This instructor-led, live training in Berlin (online or onsite) is tailored for senior management professionals seeking to comprehend LLMs, analyze their impact on business operations, and evaluate the practical application of AI tools like ChatGPT, Microsoft Copilot, or Grok for tasks ranging from content creation to data summarization and decision support.

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

• Understand the nature of LLMs and the functional aspects of tools like ChatGPT and Copilot.
• Apply prompting techniques to derive practical, reliable results from LLMs.
• Review real-world use cases, including email drafting, document summarization, and productivity automation.
• Identify strategic investment opportunities and applications for AI adoption.

This live, instructor-led training in Berlin—available online or on-site—targets senior management teams aiming to understand the strategic value of LLMs and enterprise AI tools. Participants will investigate how to integrate these technologies into high-level workflows, improve prompt drafting, and identify opportunities to increase productivity and ROI through AI implementation.

Upon completing this training, participants will be able to:

• Understand the operational principles of LLMs and their application in tools like ChatGPT and Copilot.
• Utilize prompt-based interactions to automate and accelerate workflow tasks.
• Deploy AI tools in real-world contexts, such as drafting emails, summarizing reports, and reviewing agreements.
• Evaluate the strategic benefits, constraints, and licensing factors associated with LLM adoption.

This expert-led, live training, offered in Berlin (either online or on-site), is tailored for intermediate to advanced AI researchers, data scientists, and developers aiming to comprehend, refine, and deploy Meta AI's Large Language Models for a variety of NLP scenarios.

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

• Understand the underlying architecture and operational dynamics of Meta AI's Large Language Models.
• Establish and fine-tune Meta AI LLMs for particular application needs.
• Build and implement LLM-based functionalities, including text summarization, chatbots, and sentiment analysis.
• Enhance the efficiency of large language models and manage their deployment.

This instructor-led live training in Berlin (online or on-site) is tailored for intermediate-level AI professionals, business analysts, and technology leaders eager to master the principles of Generative AI and its business applications. The curriculum covers transformers, prompt engineering, and the ethical dimensions of deploying these models for practical solutions.

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

• Comprehend the core mechanics of Generative AI and Large Language Models.
• Implement and fine-tune LLMs for targeted business use cases.
• Apply advanced prompt engineering techniques to achieve optimal results.
• Assess ethical considerations and manage risks in LLM deployment.

This live, instructor-led training on Berlin (delivered online or on-site) is designed for intermediate-level AI specialists, ethicists, data scientists, engineers, and policymakers or stakeholders seeking to understand and navigate the ethical environment of LLMs.

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

• Identify the ethical concerns and difficulties related to LLMs.
• Implement ethical frameworks and principles in LLM deployment.
• Assess the social effects of LLMs and manage potential hazards.
• Create strategies for the responsible creation and use of AI.

Offered as an instructor-led, live training in Berlin (online or onsite), this course is tailored for intermediate NLP practitioners, data scientists, content creators, and translators. It is also designed for global businesses looking to harness LLMs for precise language translation and the generation of multilingual content.

Upon completion, participants will be equipped to:

• Grasp the foundational principles of cross-lingual learning and LLM-based translation.
• Deploy LLMs to facilitate content translation across various language pairs.
• Construct and maintain multilingual datasets for effective LLM training.
• Formulate robust strategies to ensure consistency and quality in translated outputs.

Tailored for intermediate-level financial analysts, data scientists, and investment professionals, this instructor-led live training in Berlin (offered online or onsite) empowers you to harness the power of LLMs for advanced financial market analysis and prediction.

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

• Grasp how LLMs are applied within financial market analysis contexts.
• Utilize LLMs to extract insights from financial news, reports, and data streams.
• Build robust predictive models for stock prices, market trajectories, and economic metrics.
• Embed LLM-based insights into strategic investment decision-making processes.

This live, instructor-led session in Berlin (online or onsite) targets intermediate-level environmental scientists and researchers, data analysts, and policy makers or environmental advocates looking to integrate LLMs into their modeling and analysis workflows.

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

• Understand how LLMs are applied in environmental science.
• Use LLMs to process and model environmental data.
• Interpret LLM results for environmental impact evaluations.
• Communicate findings clearly to support policy and conservation goals.

Targeted at intermediate-level VR and AR developers, game designers, and AI engineers, this instructor-led live training in Berlin (available online or onsite) focuses on integrating LLMs into VR and AR applications. The program aims to empower participants to build more engaging and responsive virtual environments.

Upon completion, participants will be able to:

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

This live, instructor-led training session in Berlin (available online or onsite) is designed for intermediate-level data scientists, machine learning engineers, and software developers eager to utilize Large Language Models (LLMs) for multimodal data in advanced AI contexts.

By the end of the program, participants will be capable of:

• Comprehending the fundamentals of multimodal learning with LLMs.
• Deploying LLMs to handle and analyze text, image, and audio streams.
• Constructing applications that harness the power of multimodal data integration.
• Measuring the performance of multimodal LLM setups.

This instructor-led, live training in Berlin (available online or onsite) is designed for mid-level cybersecurity specialists and data scientists looking to leverage LLMs to strengthen security defenses and threat intelligence capabilities.

Upon completion, participants will be equipped to:

• Comprehend the application of LLMs within the cybersecurity domain.
• Deploy LLMs for the purpose of threat identification and analysis.
• Leverage LLMs to drive security automation and rapid response actions.
• Integrate LLM capabilities into existing security infrastructures.

This live, instructor-led training in Berlin (offered online or on-site) targets intermediate-level data scientists and business analysts who aim to leverage large language models (LLMs) for forecasting trends and behaviors across different industries.

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

• Understand the fundamentals of LLMs and their impact on predictive analytics.
• Apply LLMs to analyze and forecast data across various sectors.
• Critically evaluate the performance of predictive models utilizing LLMs.
• Integrate LLMs with current data processing infrastructure.

This instructor-led live training in Berlin (delivered online or onsite) targets intermediate-level data scientists aiming to acquire a deep understanding and hands-on expertise in Large Language Models (LLMs) and Reinforcement Learning (RL).

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

• Understand the internal structure and functionality of transformer models.
• Optimize and fine-tune LLMs for specialized tasks and real-world applications.
• Master the core principles and methodologies of reinforcement learning.
• Apply reinforcement learning techniques to enhance the capabilities and performance of LLMs.

This instructor-led, live training in Berlin (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.

This live, instructor-led training conducted in Berlin (online or onsite) targets educators, EdTech professionals, and researchers with varying degrees of expertise. It empowers them to utilise LLMs for developing personalised educational experiences.

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

• Comprehend the architecture and functional capabilities of LLMs.
• Identify avenues for personalising educational content via LLMs.
• Develop adaptive learning platforms that employ LLMs for content tailoring.
• Implement LLM-based strategies to elevate student engagement and academic outcomes.
• Evaluate the impact of LLMs in educational settings and make informed, data-driven decisions for enhancement.

This live, instructor-led training in Berlin (delivered online or onsite) targets intermediate-level ML practitioners and AI developers looking to fine-tune and deploy open-weight models, including LLaMA, Mistral, and Qwen, for targeted business or internal use cases.

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

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

This instructor-led live training, delivered in Berlin (either online or onsite), is tailored for software developers and data scientists at beginner to intermediate levels seeking to implement LLMs within speech recognition and synthesis systems.

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

• Comprehend the impact of LLMs on speech technologies.
• Apply LLMs for precise speech recognition and the creation of natural speech synthesis.
• Combine LLMs with speech recognition engines and speech synthesizers.
• Measure and enhance the efficacy of speech systems powered by LLMs.
• Track current trends and future innovations in the field of speech technology.

This instructor-led, live training in Berlin (delivered online or onsite) targets customer support and IT professionals with beginner to intermediate expertise who intend to utilize LLMs for building responsive, intelligent support chatbots.

By the conclusion of this program, attendees will be equipped to:

• Comprehend the essential mechanics and structural design of Large Language Models (LLMs).
• Structure and embed LLMs within customer support infrastructures.
• Improve the speed and quality of chatbot interactions for users.
• Manage ethical responsibilities and uphold industry compliance requirements.
• Launch and sustain LLM-powered chatbots for real-world operational use.

This live, instructor-led training in Berlin (available online or on-site) is designed for intermediate-level data scientists and AI engineers looking to fine-tune Large Language Models (LLMs) more cost-effectively and efficiently using techniques like LoRA, Adapter Tuning, and Prefix Tuning.

By the end of this course, participants will be equipped to:

• Understand the theoretical basis of parameter-efficient fine-tuning approaches.
• Implement LoRA, Adapter Tuning, and Prefix Tuning using Hugging Face PEFT.
• Evaluate the performance and cost trade-offs between PEFT methods and full fine-tuning.
• Deploy and scale fine-tuned LLMs with lower compute and storage requirements.

This instructor-led live training in Berlin (available online or on-site) is designed for intermediate to advanced machine learning engineers, AI developers, and data scientists who aim to leverage QLoRA for the efficient fine-tuning of large models to address specific tasks and custom needs.

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

• Understand the theoretical foundation of QLoRA and quantization methods for LLMs.
• Implement QLoRA to fine-tune large language models for specific domain applications.
• Optimize fine-tuning performance in resource-limited computational settings using quantization.
• Efficiently deploy and evaluate fine-tuned models within real-world applications.

This expert-led, live training, available either online or on-site at Berlin, is tailored for intermediate-level data and marketing professionals seeking to utilize LLMs to analyze and interpret public sentiment from various text sources, such as social media posts, product reviews, and customer feedback.

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

• Understand the foundational principles of sentiment analysis and its application using LLMs.
• Prepare and preprocess datasets for sentiment analysis tasks.
• Train and fine-tune LLMs to accurately represent sentiment in textual data.
• Perform real-time sentiment analysis on social media and other text-based platforms.
• Integrate sentiment analysis results into strategic business planning and decision-making processes.

This live, instructor-led training conducted in Berlin (available online or onsite) is designed for intermediate-level software developers and technical writers who seek to optimize their coding processes and develop detailed documentation using LLMs.

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

• Gain insight into the role of LLMs in automating code generation and software documentation.
• Apply LLMs to generate accurate and efficient code snippets and documentation.
• Integrate LLMs into their software development lifecycle to improve productivity.
• Maintain high-quality documentation standards through automated tooling.
• Understand the ethical considerations and best practices for utilizing AI in software development.

Offered by an instructor in a live setting in Berlin (either virtually or on-site), this course targets intermediate business professionals and data analysts eager to utilize LLMs for extracting actionable business insights.

By the conclusion of this training, learners will possess the ability to:

• Comprehend the foundational aspects and applications of LLMs within the business intelligence domain.
• Deploy LLMs to analyze extensive datasets and extract critical insights.
• Seamlessly integrate LLM-based analytics into strategic business planning and decision-making.
• Critically evaluate ethical considerations and standard practices for LLM utilization in commerce.
• Anticipate future AI trajectories and ready themselves for the evolving business intelligence ecosystem.

This live, instructor-led course, available both online and onsite, is tailored for intermediate to advanced developers and data scientists seeking to gain proficiency in LlamaIndex for the creation of cutting-edge LLM-driven solutions.

Upon completion, participants will be equipped to:

• Install and configure LlamaIndex for seamless integration with LLMs.
• Enhance LLM capabilities by indexing and querying custom datasets through LlamaIndex.
• Architect and build complex applications that harness the power of LlamaIndex and LLMs.
• Implement industry best practices when working with LLMs and LlamaIndex.
• Address the ethical nuances associated with deploying LLM-driven solutions.

This live, instructor-led session in Berlin (delivered online or on-site) is designed for intermediate-level AI researchers, machine learning professionals, and data scientists seeking to employ LlamaIndex to enhance AI model proficiency, thereby improving accuracy and reliability across multiple use cases.

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

• Comprehend the core principles and structural elements of LlamaIndex.
• Ingest and structure data for optimal LLM integration.
• Deploy context augmentation strategies to elevate AI model output.
• Incorporate LlamaIndex into established AI systems and operational workflows.

This live, instructor-led training is available in Berlin (online or onsite) and is tailored for intermediate-level professionals seeking to utilize prompt engineering and few-shot learning to refine LLM performance for practical, real-world applications.

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

• Grasp the fundamental principles of prompt engineering and few-shot learning.
• Formulate effective prompts for diverse NLP tasks.
• Utilize few-shot methods to adapt LLMs with limited data.
• Optimize LLM outputs for practical use cases.

This live, instructor-led training (delivered online or on-site) is designed for advanced engineers, AI specialists, and localization leads aiming to deploy large language model (LLM) systems for automated translation, quality evaluation, and enterprise governance.

Upon completion, participants will be able to:

• Construct enterprise-grade LLM localization pipelines that combine open and proprietary models.
• Implement automated QA workflows and quality metrics to maintain translation consistency.
• Establish governance and approval frameworks for multilingual content production.
• Deploy scalable, auditable LLM-based localization systems in secure environments.

This live, instructor-led training in Berlin empowers data engineers to seamlessly integrate LLMs into their SQL environments. Learners will develop natural language pipelines, apply AI-driven optimization techniques, and architect secure enterprise workflows for automated data analysis.

This live training in Berlin empowers practitioners to design, implement, and optimize multimodal LLM workflows using Vertex AI. The curriculum explores Gemini models, long-context reasoning, and integrated pipelines for text, audio, and image data. Through hands-on labs, participants gain practical skills essential for real-world deployment.

This live, instructor-led training (available online or onsite) is designed for intermediate AI developers and localization engineers who aim to create scalable, automated translation pipelines using both proprietary and open-source LLMs.

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

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

This live, instructor-led training session in Berlin (offered online or on-site) is tailored for intermediate-level developers seeking to integrate generative AI and LLMs into various workflow applications.

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

• Clarify the nature and functioning of generative AI.
• Describe the transformer architecture central to LLMs.
• Apply empirical scaling laws to refine LLM performance against specific constraints.
• Employ current best practices and tools for the training, fine-tuning, and deployment of LLMs.
• Analyze the societal and commercial implications, weighing the benefits against the risks.

Gain mastery of AI integration in Postgres through this instructor-led live training in Berlin. Discover how to configure extensions, implement pgvector embeddings, and connect LLMs for instant insights. Optimize your queries and build intelligent systems through practical exercises in a live lab setting.

Designed for intermediate to advanced AI developers, architects, and product managers, this instructor-led live training in Berlin (delivered online or on-site) focuses on identifying and mitigating risks associated with LLM-powered applications. It covers critical issues such as prompt injection, data leakage, and unfiltered output, while teaching the integration of security controls like input validation, human-in-the-loop oversight, and output guardrails.

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

• Understand the core vulnerabilities of LLM-based systems.
• Apply secure design principles to LLM app architecture.
• Utilize 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 live, instructor-led training in Berlin (available online or onsite) is designed for intermediate to advanced professionals looking to adapt pre-trained models for specific tasks and datasets.

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

• Understand the core principles of fine-tuning and its diverse applications.
• Prepare high-quality datasets for the fine-tuning of pre-trained models.
• Execute fine-tuning of Large Language Models (LLMs) for NLP tasks.
• Optimize model performance and resolve typical technical obstacles.

This instructor-led live training, delivered in Berlin either online or onsite, is tailored for intermediate data scientists, AI developers, and AI enthusiasts seeking to apply LLMs to various NLP challenges and generate diverse, novel content.

By the end of the session, participants will have the capability to:

• Establish a development environment featuring LLMs and essential tools.
• Execute NLU and NLI tasks with proficiency using LLMs.
• Extract, infer, and utilize knowledge graphs effectively.
• Generate and manage dialogues via LLMs for conversational applications.
• Evaluate the quality and diversity of content generated by LLMs and generative AI.
• Apply ethical standards to ensure fairness and responsible LLM usage.

This live, instructor-led training in Berlin (available online or onsite) is designed for developers from beginner to intermediate levels who aim to utilize Large Language Models for various natural language tasks.

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

• Set up a development environment that incorporates a popular LLM.
• Create a basic LLM and fine-tune it on a custom dataset.
• Apply LLMs to different natural language tasks, including text summarization, question answering, text generation, and more.
• Debug and evaluate LLMs using tools such as TensorBoard, PyTorch Lightning, and Hugging Face Datasets.

This live, instructor-led training in Berlin (online or on-site) targets observability and SRE engineers aiming to incorporate LLMs and AI into their monitoring, alerting, and incident analysis operations.

Offered as an instructor-led, live training session in Berlin (available online or onsite), this course is tailored for IT support professionals who aim to utilize AI tools and automation platforms to streamline support processes, standardize responses, and reduce the burden of manual documentation.

This instructor-led, live training in Berlin (online or onsite) targets intermediate-level engineers and architects seeking to use Tencent Hunyuan to deploy large and MoE models with lower latency, higher throughput, and better cost control.

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

This live, instructor-led training in Berlin (online or onsite) is designed for intermediate developers, technical product teams, and AI professionals seeking to utilize Hunyuan models for creating multimodal applications involving image, 3D, and video generation and distribution.

By the conclusion of the program, participants will be equipped to: construct prompt-driven workflows, produce and evaluate multimodal assets, serve outputs via applications or APIs, and align Hunyuan capabilities with enterprise product ecosystems.

The course aims to transform software and AI engineers into legal engineers—professionals capable of building AI for legal work (eDiscovery, review, investigations).

In two days, participants construct the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, adding retrieval-augmented generation (RAG) with citations, maintaining privacy on local models and proving compliance, running defensible AI reviews with court-ready metrics, and packaging the result for deployment.

This instructor-led, live training held in Berlin (available online or onsite) is designed for AI professionals at beginner, intermediate, or advanced levels seeking to utilize MCP to link AI assistants with external tools, data repositories, and enterprise services.

Upon completion, participants will be able to explain core MCP concepts, identify key architectural components, establish basic integrations, and apply essential security best practices.

This live, instructor-led training in Berlin (available online or on-site) is designed for mid-level enterprise architects who aim to utilize the Model Context Protocol to build secure, scalable, and governable agent integration platforms for their organizations.

By the conclusion of this training, participants will be equipped to: explain MCP architecture and enterprise patterns, design secure integration platforms, apply governance and access control mechanisms, and evaluate deployment and scaling strategies.

This instructor-led live training, available in Berlin (either online or onsite), is designed for intermediate developers, architects, and platform engineers seeking to leverage MCP to build dependable servers and clients for enterprise deployment and operations.

By the end of this session, participants will be able to: articulate MCP architectural principles in a practical context, develop production-ready integrations, deploy and monitor MCP services, and implement versioning, resilience, and support patterns.

This live, instructor-led training in Berlin (available online or on-site) is designed for intermediate-level IT leaders, compliance officers, security teams, and enterprise architects. It focuses on leveraging sovereign AI principles and governance frameworks to construct AI environments that ensure data protection, adhere to localization mandates, and mitigate vendor lock-in risks.

By the end of the session, participants will be capable of: explaining key sovereign AI concepts, assessing hosting and governance alternatives, establishing controls for prompts and logs, and formulating a practical adoption strategy.