Multimodal AI Training in Leon

This instructor-led live training in Leon (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 Leon (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 Leon (online or on-site) is intended for advanced AI professionals who want to improve their prompt engineering skills for multimodal AI applications.

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

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

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

Upon completing this training, participants will be able to:

• Grasp the basics of multimodal learning and data fusion.
• Build multimodal models utilizing DeepSeek, OpenAI, Hugging Face, and PyTorch.
• Optimize and fine-tune models for integrating text, image, and audio.
• Deploy multimodal AI models in practical, real-world scenarios.

This instructor-led, live training in Leon (online or onsite) targets 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.

Upon completing 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 factory operations.
• Implement predictive maintenance through AI-driven data analysis.
• Apply computer vision for defect detection and quality assurance.

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

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

• Understand the fundamentals of multimodal AI for language processing.
• Use 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 Leon (online or onsite) is designed for beginner to intermediate product designers, software engineers, and customer support professionals who wish to enhance virtual assistants with multimodal AI.

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

• Comprehend how multimodal AI enhances virtual assistants.
• Incorporate 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 Leon (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.

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 live session in Leon guides practitioners through the design, development, and optimization of multimodal LLM workflows on Vertex AI. The curriculum explores Gemini models, extended-context reasoning, and integrated pipelines for text, audio, and image data, ensuring participants gain practical, industry-ready skills through hands-on labs.

This live, instructor-led training in Leon (online or onsite) is designed for finance professionals at an intermediate level, data analysts, risk managers, and AI engineers who want to utilize multimodal AI for analyzing risks and detecting fraud.

Upon completing this training, participants will be capable of:

• Understanding the application of multimodal AI in financial risk management.
• Analyzing both structured and unstructured financial data to detect fraud.
• Implementing AI models to identify anomalies and suspicious activities.
• Utilizing NLP and computer vision technologies for analyzing financial documents.
• Deploying AI-powered fraud detection models within real-world financial systems.

This instructor-led live training in Leon (online or onsite) targets beginner to intermediate UI/UX designers, product managers, and AI researchers aiming to elevate user experiences through multimodal, AI-powered interfaces.

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

• Understand the basics of multimodal AI and its role in 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 Leon (online or onsite) is designed for intermediate-level content creators, digital artists, and media professionals who want to learn how to apply multimodal AI to various forms of content creation.

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

• Leverage AI tools to enhance music and video production.
• Generate distinctive visual art and designs using AI.
• Develop interactive multimedia experiences.
• Understand the impact of AI on the creative industries.

This instructor-led, live training in Leon (online or onsite) is designed for advanced robotics engineers and AI researchers who want to leverage Multimodal AI to integrate diverse sensory data. The goal is to build more autonomous and efficient robots that can perceive through sight, sound, and touch.

Upon completion 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 Leon (online or onsite) targets intermediate UX/UI designers and front-end developers eager to leverage Multimodal AI for designing and implementing user interfaces capable of understanding and processing diverse input types.

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

• Craft multimodal interfaces that boost user engagement.
• Incorporate voice and visual recognition into web and mobile applications.
• Harness multimodal data to develop adaptive and responsive UIs.
• Grasp the ethical implications surrounding the collection and processing of user data.

This instructor-led, live training in Leon (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.