HARTMANN software group

Foundations of AI for Creatives Training in St. Louis

Enroll in or hire us to teach our Foundations of AI for Creatives class in St. Louis, Missouri by calling us @303.377.6176. Like all HSG classes, Foundations of AI for Creatives may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, Foundations of AI for Creatives may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
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Course Description

  

Foundations of AI for Creatives is designed for artists, designers, writers, and other creative professionals seeking to understand and apply artificial intelligence in their work. This practical, project-based course introduces the core concepts of AI and generative tools, emphasizing real-world applications in creative workflows. Participants will explore a range of technologies—including text, image, audio, and video generation—while gaining hands-on experience with prompt engineering, content refinement, and multimodal storytelling. The course also examines ethical considerations, accessibility, and the evolving relationship between human creativity and machine intelligence, empowering creatives to navigate this new landscape with clarity, confidence, and intention.

Course Length: 1 Days
Course Tuition: $290 (US)

Prerequisites
Familiarity with Digital Design Tools: Experience using tools like Canva, Adobe Creative Suite, Figma, or similar platforms for creating visual content. Basic Copywriting or Storytelling Skills: Understanding how to craft messages for marketing, branding, or storytelling purposes. Understanding of Creative Workflows: Knowledge of typical project lifecycles in design, writing, video, or content creation. Comfort with Online Collaboration Tools: Familiarity with platforms like Google Docs, Miro, or Notion for sharing and discussing creative work. Introductory Knowledge of AI or Machine Learning (Optional): General awareness of what AI is and how it is used in everyday tools or media.

Course Outline

  
  1. What is intelligence, AI, Generative AI?
    1. Types of Generative AI Models with Demos
    2. Prompts, Seeds, Parameters
    3. Model Capabilities and Limitations
    4. Integrating Generative AI into Design Workflows
  2. Fundamentals of Prompt Engineering
    1. Introduction to Prompt Engineering
    2. How to create effective prompts
    3. Understanding Zero-Shot, Few-Shot, and Chain-of-Thought techniques
    4. Tips for designing and optimizing prompts
    5. Using prompts for alt text, captions, and accessibility
    6. Lab – Creating sample copy
  3. Fundamentals of Visual Prompt Engineering
    1. Understanding prompt structure and syntax
    2. Adding specificity and detail to prompts
    3. Using modifiers and parameters (like art styles and aspect ratios)
    4. Refining prompts iteratively
    5. Exploring tools and platforms for image generation (such as Midjourney, Imagen, Stable Diffusion)
    6. Promoting diversity and inclusion in human imagery
    7. Lab – Ideating with GenAI Imagery 
  4. Generative AI for Audio
    1. Introduction to text-to-audio and audio-to-audio AIExploring platforms and tools (like Murf, Elevenlabs, etc.)
    2. Techniques for generating audio prompts (voice styles, emotions, music)
    3. Using AI for sound design and audio mixing
    4. Lab – Creating sample voice-overs 
  5. Generative AI for Video
    1. Generating videos, lip syncing, and removing backgrounds
    2. Using frame interpolation, color grading, and stylization
    3. Exploring platforms and tools (like Runway, Murf, etc.)
    4. Techniques for generating video prompts
    5. Adding captions, audio descriptions, and other accessibility features
    6. Lab – Mock-Up advertisements with Audio and Video 
  6. Combining Generative & Traditional Design
    1. Combining AI-generated content with traditional design elements
    2. Using brand guidelines with GenAI
    3. Improving workflow efficiency with AI
    4. Understanding copyright and ownership of AI-generated content
    5. Lab – Integrating traditional design elements with GenAI content 
  7. Ethical Considerations and the Future of AI in Design
    1. Understanding copyright and ownership of AI-generated content
    2. Labelling AI-generated content
    3. Addressing bias and representation in AI models
    4. The impact of AI on the design industry and job market
    5. Responsible use of AI in creative fields
    6. Lab – Design Projects Showcase

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