Human-AI Collaboration with Multimodal Interfaces Training Course

This instructor-led, live training in Italy (online or onsite) is designed for advanced AI developers, machine learning engineers, and researchers who aim to create custom multimodal AI models leveraging 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 utilizing DeepSeek, OpenAI, Hugging Face, and PyTorch.
• Optimize and fine-tune models for the seamless integration of text, image, and audio data.
• Deploy multimodal AI models in practical, real-world scenarios.

Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly integrate text, audio, and image data into a unified pipeline. Featuring support for long context windows and Gemini API parameters, it facilitates advanced applications in planning, reasoning, and cross-modal intelligence.

This instructor-led live training, available online or on-site, is designed for intermediate to advanced practitioners looking to design, build, and optimize multimodal AI workflows within Vertex AI.

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

• Utilize Gemini models for handling multimodal inputs and outputs.
• Develop long-context workflows to tackle complex reasoning tasks.
• Create pipelines that combine text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance and cost efficiency.

Course Format

• Interactive lectures and discussions.
• Practical labs focused on multimodal workflows.
• Project-based exercises applying multimodal use cases.

Customization Options

• For customized training requests, please contact us to arrange your session.

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

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

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

This instructor-led live training in Italy (online or onsite) targets intermediate to advanced industrial engineers, automation specialists, and AI developers eager to apply multimodal AI for quality control, predictive maintenance, and robotics in smart factories.

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

• Grasp the significance of multimodal AI in industrial automation.
• Integrate sensor inputs, image recognition, and real-time monitoring for smart factory operations.
• Deploy predictive maintenance strategies through AI-driven data analysis.
• Utilize computer vision for defect detection and quality assurance.

This instructor-led, live training in Italy (online or onsite) is designed for intermediate-level linguists, AI researchers, software developers, and business professionals seeking 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.
• 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 Italy (online or onsite) is targeted at intermediate-level AI researchers, data scientists, and machine learning engineers aiming to develop intelligent systems capable of processing and interpreting 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.

This instructor-led, live training in Italy (online or onsite) targets 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 Italy (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 Italy (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals, medical researchers, and AI developers who wish 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 Italy (online or onsite) targets advanced robotics engineers and AI researchers seeking to leverage Multimodal AI to integrate diverse sensory data, thereby creating more autonomous and efficient robots capable of seeing, hearing, and touching.

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 processes.
• Construct robots capable of executing complex tasks in dynamic environments.
• Tackle challenges related to real-time data processing and actuation.

This instructor-led, live training in Italy (online or onsite) targets beginner to intermediate-level product designers, software engineers, and customer support professionals aiming to enhance virtual assistants with multimodal AI.

Upon completing this training, participants will be able to:

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

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

Upon completing this training, participants will be able to:

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

This instructor-led, live training in Italy (online or onsite) is designed for advanced AI professionals seeking to enhance their prompt engineering skills for multimodal AI applications.

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

• Comprehend the core principles of multimodal AI and its practical applications.
• Craft and optimize prompts for generating text, images, audio, and video.
• Leverage APIs for multimodal AI platforms including GPT-4, Gemini, and DeepSeek-Vision.
• Construct AI-driven workflows that integrate diverse content formats.