Multimodal AI Training in Prague

This instructor-led, live training in Prague (online or onsite) is designed for intermediate to advanced-level AI researchers, developers, and data scientists who wish to leverage DeepSeek’s multimodal capabilities for cross-modal learning, AI automation, and advanced decision-making.

Upon completing this training, participants will be able to:

• Deploy DeepSeek’s multimodal AI for applications involving text, images, and audio.
• Create AI solutions that combine multiple data types to derive deeper insights.
• Optimize and fine-tune DeepSeek models specifically for cross-modal learning tasks.
• Apply multimodal AI techniques to real-world industry scenarios.

This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level to advanced-level AI developers, researchers, and multimedia engineers who wish to build AI agents capable of understanding and generating multi-modal content.

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

• Develop AI agents that process and integrate text, image, and speech data.
• Implement multi-modal models such as GPT-4 Vision and Whisper ASR.
• Optimize multi-modal AI pipelines for efficiency and accuracy.
• Deploy multi-modal AI agents in real-world applications.

This instructor-led, live training in Prague (online or onsite) is designed for advanced-level AI professionals looking to refine their prompt engineering skills for multimodal AI applications.

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

• Grasp the fundamentals of multimodal AI and its practical applications.
• Design and optimize prompts for generating text, images, audio, and video.
• Leverage APIs for multimodal AI platforms such as GPT-4, Gemini, and DeepSeek-Vision.
• Create AI-driven workflows that integrate multiple content formats.

This instructor-led, live training Prague (online or on-site) is intended for advanced-level AI developers, machine learning engineers, and researchers aiming to build custom multimodal AI models using open-source frameworks.

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

• Understand the fundamentals of multimodal learning and data fusion.
• Implement multimodal models using DeepSeek, OpenAI, Hugging Face, and PyTorch.
• Optimize and fine-tune models for text, image, and audio integration.
• Deploy multimodal AI models in real-world applications.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate to advanced-level industrial engineers, automation specialists, and AI developers interested in applying multimodal AI for quality control, predictive maintenance, and robotics in smart factories.

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

• Grasp the role of multimodal AI in industrial automation.
• Integrate sensor data, image recognition, and real-time monitoring for smart factories.
• Implement predictive maintenance using AI-driven data analysis.
• Apply computer vision for defect detection and quality assurance.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level linguists, AI researchers, software developers, and business professionals seeking to leverage multimodal AI for real-time translation and language understanding.

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

• Grasp the fundamentals of multimodal AI for language processing.
• Utilize AI models to process and translate speech, text, and images.
• Implement real-time translation using AI-powered APIs and frameworks.
• Integrate AI-driven translation into business applications.
• Analyze ethical considerations in AI-powered language processing.

This instructor-led, live training in Prague (online or onsite) is designed for beginner to intermediate product designers, software engineers, and customer support professionals aiming to enrich their virtual assistants with multimodal AI.

Upon completing this training, participants will be able to:

• Grasp how multimodal AI enhances virtual assistants.
• Integrate speech, text, and image processing into AI-powered assistants.
• Construct interactive conversational agents equipped with voice and vision capabilities.
• Apply APIs for speech recognition, NLP, and computer vision.
• Implement AI-driven automation for customer support and user interaction.

This instructor-led live training in Prague (available online or on-site) is intended for intermediate to advanced-level healthcare professionals, medical researchers, and AI developers seeking to apply multimodal AI in medical diagnostics and healthcare applications.

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

• Understand the role of multimodal AI in modern healthcare.
• Integrate structured and unstructured medical data for AI-driven diagnostics.
• Apply AI techniques to analyze medical images and electronic health records.
• Develop predictive models for disease diagnosis and treatment recommendations.
• Implement speech and natural language processing (NLP) for medical transcription and patient interaction.

This instructor-led live training in Prague (online or onsite) is aimed at intermediate-level finance professionals, data analysts, risk managers, and AI engineers who wish to leverage multimodal AI for risk analysis and fraud detection.

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

• Understand how multimodal AI is applied in financial risk management.
• Analyze structured and unstructured financial data for fraud detection.
• Implement AI models to identify anomalies and suspicious activities.
• Leverage NLP and computer vision for financial document analysis.
• Deploy AI-driven fraud detection models in real-world financial systems.

This instructor-led live training in Prague (available online or onsite) is designed for beginner to intermediate UI/UX designers, product managers, and AI researchers aiming to enhance user experiences through multimodal, AI-powered interfaces.

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

• Comprehend the foundational aspects of multimodal AI and its effect on human-computer interaction.
• Design and prototype multimodal interfaces leveraging AI-driven input methods.
• Apply speech recognition, gesture control, and eye-tracking technologies.
• Evaluate the usability and effectiveness of multimodal systems.

This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level content creators, digital artists and media professionals who wish to learn how multimodal AI can be applied to various forms of content creation.

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

• Use AI tools to enhance music and video production.
• Generate unique visual art and designs with AI.
• Create interactive multimedia experiences.
• Understand the impact of AI on the creative industries.

This instructor-led, live training in Prague (online or onsite) targets advanced robotics engineers and AI researchers looking to leverage Multimodal AI. The course focuses on integrating diverse sensory data to build more autonomous and efficient robots that can see, hear, and touch.

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

• Implement multimodal sensing within robotic systems.
• Develop AI algorithms for sensor fusion and decision-making.
• Build robots capable of executing complex tasks in dynamic environments.
• Overcome challenges related to real-time data processing and actuation.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level UX/UI designers and front-end developers who want to use Multimodal AI to design and implement user interfaces that can understand and process various forms of input.

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

• Design multimodal interfaces that improve user engagement.
• Integrate voice and visual recognition into web and mobile applications.
• Utilize multimodal data to create adaptive and responsive UIs.
• Understand the ethical considerations of user data collection and processing.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level AI researchers, data scientists, and machine learning engineers who aim to create intelligent systems capable of processing and interpreting multimodal data.

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

• Understand the core principles of multimodal AI and its applications.
• Implement data fusion techniques to merge different data types.
• Build and train models that process visual, textual, and auditory information.
• Evaluate the performance of multimodal AI systems.
• Address ethical and privacy concerns related to multimodal data.