Multimodalna veštačka inteligencija Training in Belgrade

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level 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.

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

• Implement DeepSeek’s multimodal AI for text, image, and audio applications.
• Develop AI solutions that integrate multiple data types for richer insights.
• Optimize and fine-tune DeepSeek models for cross-modal learning.
• Apply multimodal AI techniques to real-world industry use cases.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate to advanced AI developers, researchers, and multimedia engineers who aim to build AI agents capable of understanding and generating multi-modal content.

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

• Create AI agents that process and integrate text, image, and speech data.
• Deploy multi-modal models like GPT-4 Vision and Whisper ASR.
• Enhance multi-modal AI pipelines for superior efficiency and precision.
• Implement multi-modal AI agents in real-world scenarios.

This instructor-led, live training in Belgrade (online or onsite) targets advanced AI professionals aiming to enhance 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 Belgrade (online or onsite) is designed for advanced AI developers, machine learning engineers, and researchers who want to create custom multimodal AI models using open-source frameworks.

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

• Grasp the core principles of multimodal learning and data fusion.
• Build multimodal models using DeepSeek, OpenAI, Hugging Face, and PyTorch.
• Optimize and fine-tune models to integrate text, image, and audio data.
• Deploy multimodal AI models in practical, real-world scenarios.

This instructor-led, live training in Belgrade (available online or onsite) is designed for intermediate to advanced industrial engineers, automation specialists, and AI developers who wish to apply multimodal AI for quality control, predictive maintenance, and robotics in smart factories.

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

• Understand 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 Belgrade (online or onsite) is designed for intermediate-level linguists, AI researchers, software developers, and business professionals looking to utilize multimodal AI for real-time translation and language understanding.

Upon completing this training, participants will be able to:

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

This instructor-led, live training in Belgrade (online or onsite) is aimed at beginner-level to intermediate-level product designers, software engineers, and customer support professionals who wish to enhance virtual assistants with multimodal AI.

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

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

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

Upon completion 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 live training in Belgrade empowers practitioners to design, construct, and optimize multimodal LLM workflows using Vertex AI. The curriculum covers Gemini models, long-context reasoning, and the creation of pipelines that integrate text, audio, and image data. Through hands-on labs, participants gain practical skills essential for real-world deployment.

This instructor-led, live training in Belgrade (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.

Ova obuka koju vodi trener u Belgrade (online ili uživo) namenjena je dizajnerima UI/UX, menadžerima proizvoda i istraživačima AI-a sa početnim do srednjim nivoom znanja, koji žele da unaprede korisničko iskustvo kroz interfejse pogonjene multimodalnom veštačkom inteligencijom.

Nakon završetka ove obuke, učesnici će moći da:

• Razumeju osnove multimodalne veštačke inteligencije i njen uticaj na interakciju čoveka i računara.
• Dizajniraju i prave prototipove multimodalnih interfejisa koristeći metode ulaza pokretane veštačkom inteligencijom.
• Implementiraju tehnologije prepoznavanja govora, kontrole gestovima i praćenja očiju.
• Procene efikasnost i korisnost multimodalnih sistema.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level content creators, digital artists, and media professionals who want to explore how multimodal AI can be applied to diverse content creation methods.

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

• Utilize AI tools to improve music and video production.
• Generate original visual art and designs with AI.
• Build interactive multimedia experiences.
• Comprehend the impact of AI on the creative industries.

This instructor-led, live training in Belgrade (online or onsite) targets advanced robotics engineers and AI researchers who wish to utilize Multimodal AI for integrating various sensory data to create more autonomous and efficient robots that can see, hear, and touch.

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 Belgrade (online or onsite) is designed for intermediate-level UX/UI designers and front-end developers who aim to leverage Multimodal AI to create and implement user interfaces capable of understanding and processing diverse input types.

Upon completing this training, participants will be able to:

• Design multimodal interfaces that boost user engagement.
• Integrate voice and visual recognition capabilities into web and mobile applications.
• Leverage multimodal data to develop adaptive and responsive UIs.
• Grasp the ethical implications of collecting and processing user data.

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

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

• Grasp the fundamental principles of multimodal AI and explore its practical applications.
• Apply data fusion techniques to seamlessly integrate various data types.
• Construct and train models capable of analyzing visual, textual, and auditory inputs.
• Assess the performance metrics of multimodal AI systems.
• Navigate and resolve ethical and privacy issues associated with multimodal data.