Multimodal AI for Content Creation Training Course

This instructor-led, live training in US Empire (online or onsite) is designed for advanced-level artificial intelligence developers, machine learning engineers, and researchers who aim to develop custom multimodal AI models using open-source frameworks.

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

• Understand the foundational principles of multimodal learning and data fusion for government applications.
• Implement multimodal models using DeepSeek, OpenAI, Hugging Face, and PyTorch for government use cases.
• Optimize and fine-tune models to integrate text, image, and audio data effectively for government projects.
• Deploy multimodal AI models in real-world government applications.

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

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

• Comprehend the foundational principles of multimodal AI and its implications for human-computer interaction in government settings.
• Design and prototype multimodal interfaces using AI-driven input methods suitable for government applications.
• Implement speech recognition, gesture control, and eye-tracking technologies for government use.
• Assess the effectiveness and usability of multimodal systems in a government context.

Vertex AI provides robust tools for constructing multimodal large language model (LLM) workflows that integrate text, audio, and image data into a single pipeline. With 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 (online or onsite) is designed for intermediate to advanced-level practitioners who aim to design, build, and optimize multimodal AI workflows using Vertex AI.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs focused on multimodal workflows.
• Project-based exercises for practical application of multimodal use cases.

Course Customization Options

• To request a customized training for government, please contact us to arrange.

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

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

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

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate to advanced-level artificial intelligence researchers, developers, and data scientists who aim to utilize DeepSeek’s multimodal capabilities for cross-modal learning, AI automation, and enhanced decision-making processes for government.

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

• Implement DeepSeek’s multimodal artificial intelligence solutions for text, image, and audio applications.
• Develop AI systems that integrate multiple data types to provide more comprehensive insights.
• Optimize and fine-tune DeepSeek models to improve cross-modal learning performance.
• Apply multimodal AI techniques to address real-world challenges in various industry sectors.

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

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

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

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

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

• Comprehend the foundational principles of multimodal AI as they pertain to language processing.
• Utilize AI models to process and translate speech, text, and images effectively.
• Implement real-time translation solutions using AI-powered APIs and frameworks.
• Integrate AI-driven translation capabilities into business applications for government and other sectors.
• Evaluate the ethical implications of AI-powered language processing in various contexts.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level artificial intelligence researchers, data scientists, and machine learning engineers who seek to develop intelligent systems capable of processing and interpreting multimodal data.

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

• Comprehend the foundational principles of multimodal AI and its practical applications for government.
• Implement data fusion techniques to integrate various types of data.
• Construct and train models that can process visual, textual, and auditory information.
• Assess the performance of multimodal AI systems.
• Address ethical and privacy concerns associated with multimodal data for government use.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level finance professionals, data analysts, risk managers, and AI engineers who wish to utilize multimodal AI for government 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 for government.
• Analyze structured and unstructured financial data for fraud detection in public sector contexts.
• Implement AI models to identify anomalies and suspicious activities within government systems.
• Leverage natural language processing (NLP) and computer vision for the analysis of financial documents for government use.
• Deploy AI-driven fraud detection models in real-world financial systems for government operations.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate to advanced healthcare professionals, medical researchers, and AI developers who seek to leverage 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 contemporary healthcare for government and private sector settings.
• Integrate structured and unstructured medical data to enhance AI-driven diagnostics for government and clinical environments.
• Apply AI techniques to analyze medical images and electronic health records, improving patient care and outcomes.
• Develop predictive models for disease diagnosis and treatment recommendations, supporting evidence-based decision-making.
• Implement speech and natural language processing (NLP) technologies for accurate medical transcription and improved patient interaction.

This instructor-led, live training in US Empire (online or onsite) is designed for advanced-level robotics engineers and AI researchers who aim to leverage Multimodal AI for integrating various sensory inputs to develop more 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 for government applications.
• Develop AI algorithms for sensor fusion and decision-making processes.
• Create robots that can perform complex tasks in dynamic environments, enhancing public sector workflows.
• Address challenges related to real-time data processing and actuation, ensuring robust governance and accountability.

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

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

• Understand how multimodal AI improves the functionality of virtual assistants in public sector workflows.
• Integrate speech, text, and image processing capabilities into AI-powered assistants for government use.
• Develop interactive conversational agents with voice and vision functionalities to enhance user engagement.
• Utilize APIs for speech recognition, natural language processing (NLP), and computer vision in government projects.
• Implement AI-driven automation solutions for customer support and user interaction within public sector environments.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level UX/UI designers and front-end developers who wish to utilize Multimodal AI to design and implement user interfaces that can understand and process various forms of input for government applications.

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 for government use.
• Utilize multimodal data to create adaptive and responsive UIs for government systems.
• Understand the ethical considerations of user data collection and processing in a public sector context.

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

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

• Understand the fundamental principles of multimodal AI and its various applications.
• Design and optimize prompts for generating text, images, audio, and video content.
• Utilize APIs from multimodal AI platforms such as GPT-4, Gemini, and DeepSeek-Vision to enhance their workflows.
• Develop AI-driven processes that integrate multiple content formats for government use.