Multimodal AI Training in Plovdiv

This instructor-led, live training in Plovdiv (online or onsite) is designed for intermediate to advanced AI researchers, developers, and data scientists eager to harness DeepSeek’s multimodal features for cross-modal learning, AI automation, and sophisticated decision-making.

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

• Deploying DeepSeek’s multimodal AI for text, image, and audio applications.
• Creating AI solutions that merge multiple data types to yield deeper insights.
• Optimizing and fine-tuning DeepSeek models for effective cross-modal learning.
• Applying multimodal AI techniques to practical industry scenarios.

This instructor-led, live training in Plovdiv (online or on-site) is designed for intermediate to advanced AI developers, researchers, and multimedia engineers who want to create AI agents capable of understanding and producing multi-modal content.

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

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

This instructor-led training, offered in Plovdiv (online or onsite), targets advanced AI professionals looking to elevate their prompt engineering skills for multimodal AI applications.

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

• Understand the fundamentals of multimodal AI and its applications.
• Design and optimize prompts for text, image, audio, and video generation.
• Utilize APIs for multimodal AI platforms such as GPT-4, Gemini, and DeepSeek-Vision.
• Develop AI-driven workflows integrating multiple content formats.

This instructor-led, live training in Plovdiv (online or onsite) targets advanced AI developers, machine learning engineers, and researchers who want to build custom multimodal AI models using open-source frameworks.

Upon completing 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 Plovdiv (online or onsite) is designed for intermediate to advanced industrial engineers, automation specialists, and AI developers seeking to apply multimodal AI for quality control, predictive maintenance, and robotics in smart factories.

Upon completing this training, participants will be able to:

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

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

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

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

This instructor-led, live training in Plovdiv (online or onsite) is designed for product designers, software engineers, and customer support professionals at beginner to intermediate levels who wish to enhance their virtual assistants using multimodal AI.

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

• Understand how multimodal AI improves the functionality of virtual assistants.
• Combine speech, text, and image processing within AI-powered assistants.
• Create interactive conversational agents equipped with voice and visual capabilities.
• Utilize APIs for speech recognition, natural language processing (NLP), and computer vision.
• Deploy AI-driven automation solutions for customer support and enhanced user interaction.

This instructor-led live training, conducted in Plovdiv (online or onsite), is designed for intermediate to advanced healthcare professionals, medical researchers, and AI developers seeking to apply multimodal AI in medical diagnostics and healthcare applications.

By the conclusion 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.

Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly combine text, audio, and visual data into a unified pipeline. Supported by long context window capabilities and Gemini API parameters, it facilitates the development of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This guided, live training session (available online or on-site) is designed for intermediate to advanced professionals looking to design, build, and optimize multimodal AI workflows within Vertex AI.

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

• Utilize Gemini models to handle multimodal inputs and outputs.
• Establish long-context workflows tailored for complex reasoning tasks.
• Architect pipelines that integrate the analysis of text, audio, and images.
• Fine-tune Gemini API parameters to enhance performance and cost-effectiveness.

Course Format

• Engaging lectures paired with interactive discussions.
• Practical labs focusing on multimodal workflows.
• Project-based exercises applying multimodal use cases.

Customization Options

• For requests regarding customized training for this course, please reach out to us to make arrangements.

This guided, live training in Plovdiv (online or on-site) is designed for finance professionals, data analysts, risk managers, and AI engineers at an intermediate level who aim to utilize multimodal AI for risk analysis and fraud detection.

Upon completing this training, participants will be able to:

• Comprehend the application of multimodal AI in financial risk management.
• Evaluate structured and unstructured financial data to identify fraud.
• Deploy AI models to pinpoint anomalies and suspicious behaviors.
• Utilize NLP and computer vision techniques for analyzing financial documents.
• Implement AI-powered fraud detection models within actual financial systems.

This instructor-led, live training in Plovdiv (online or onsite) is aimed at beginner-level to intermediate-level UI/UX designers, product managers, and AI researchers who wish to enhance user experiences through multimodal AI-powered interfaces.

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

• Understand the fundamentals of multimodal AI and its impact on human-computer interaction.
• Design and prototype multimodal interfaces using AI-driven input methods.
• Implement speech recognition, gesture control, and eye-tracking technologies.
• Evaluate the effectiveness and usability of multimodal systems.

This instructor-led, live training in Plovdiv (online or onsite) targets intermediate-level content creators, digital artists, and media professionals eager to discover how multimodal AI can be integrated into various content creation workflows.

Upon completing this training, participants will be equipped to:

• Leverage AI tools to elevate music and video production.
• Produce distinctive visual art and designs using AI.
• Develop engaging interactive multimedia experiences.
• Comprehend the influence of AI on the creative industries.

This instructor-led, live training in Plovdiv (online or onsite) is designed for advanced robotics engineers and AI researchers aiming to utilize Multimodal AI. The objective is to integrate various sensory inputs to develop highly autonomous and efficient robots capable of seeing, hearing, and touching.

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

• Implement multimodal sensing in robotic systems.
• Develop AI algorithms for sensor fusion and decision-making.
• Create robots that can perform complex tasks in dynamic environments.
• Address challenges in real-time data processing and actuation.

This instructor-led, live training in Plovdiv (online or onsite) is tailored for intermediate UX/UI designers and front-end developers who aim to utilize Multimodal AI to design and implement user interfaces capable of understanding and processing various forms of input.

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

• Design multimodal interfaces that enhance 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 associated with user data collection and processing.

This instructor-led, live training in Plovdiv (online or onsite) is aimed at intermediate-level AI researchers, data scientists, and machine learning engineers who wish to create intelligent systems that can process and interpret multimodal data.

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

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