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Course Outline

Hunyuan Multimodal Foundation Models and Laboratory Environment Configuration

  • Evaluating the capabilities of Hunyuan multimodal models for applications involving imagery, three-dimensional spatial data, and video content.
  • Identifying operational requirements and practical business cases for creative, product development, and content management divisions.
  • Establishing laboratory infrastructure, acquiring sample assets, and securing appropriate model access permissions for government personnel.
  • Executing initial generation tasks and conducting technical reviews of model outputs.

Prompt Engineering and Workflow Architecture

  • Structuring input prompts to ensure consistency and reliability in multimodal generation results.
  • Utilizing text-based prompts, reference imagery, and configuration settings for precise input control.
  • Selecting optimal operational workflows tailored to specific image, video, or 3D generation objectives.
  • Refining prompt parameters based on output fidelity and alignment with agency mission goals.

Image Generation and Technical Review Laboratories

  • Producing marketing visuals, product renderings, and conceptual designs using established prompts.
  • Adjusting visual style, composition, and content consistency to meet project specifications.
  • Evaluating outputs for operational utility, technical quality, and compliance with brand or agency standards.
  • Archiving image assets for formal approval processes and integration into downstream systems for government use.

Video Generation Technical Laboratories

  • Generating short-form video content from textual prompts and prepared data inputs.
  • Managing stylistic parameters, scene intent, and output variability to meet specific criteria.
  • Assessing video materials for clarity, continuity, and applicability in operational contexts.
  • Preparing finalized video assets for demonstration purposes or integration into established content workflows.

3D Asset Development Laboratories

  • Generating foundational 3D assets derived from textual descriptions or two-dimensional image inputs.
  • Verifying geometric accuracy, texture resolution, and asset compatibility for intended applications.
  • Exporting finalized assets for visualization simulations, prototyping, or integration into content pipelines.
  • Evaluating the operational suitability of 3D generation versus traditional image or video workflows for specific missions.

System Integration, Governance, and Strategic Implementation

  • Distributing generated assets through designated applications, backend services, or application programming interfaces (APIs).
  • Integrating multimodal outputs into product development, content creation, and review processes for government operations.
  • Implementing procedural controls to ensure quality assurance, brand compliance, copyright adherence, and responsible AI use.
  • Developing pilot initiatives and defining strategic next steps for the internal adoption of these technologies.

Requirements

  • Familiarity with foundational artificial intelligence and generative AI principles
  • Proficiency in utilizing web applications, application programming interfaces (APIs), or standard developer utilities
  • Fundamental knowledge of Python programming or scripting methodologies

Intended Audience

  • Engineers and developers tasked with implementing AI-driven product capabilities
  • Technical product managers and solution architects responsible for system design
  • Digital innovation, media, and creative teams managing image, video, or three-dimensional assets
 14 Hours

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