Prompt Engineering for Multimodal AI

• An understanding of AI models and their applications
• Experience with programming (Python recommended)
• Familiarity with APIs and AI-driven workflows

Audience

• AI researchers
• Multimedia creators
• Developers working with multimodal models

Multimodal AI is the next evolution of artificial intelligence, allowing models to process and generate content across text, images, audio, and video in a unified way.

This instructor-led, live training (online or onsite) is aimed at 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 fundamentals of multimodal AI and its applications.
• Design and optimize prompts for text, image, audio, and video generation.
• Utilize APIs for multimodal AI platforms such as GPT-4, Gemini, and DeepSeek-Vision.
• Develop AI-driven workflows integrating multiple content formats.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Introduction to Multimodal AI

• What is multimodal AI?
• How multimodal AI models work
• Use cases in various industries

Prompt Engineering Fundamentals

• Principles of effective prompt design
• Understanding AI response behavior
• Common mistakes and how to avoid them

Text-Based Prompt Optimization

• Structuring prompts for accurate text generation
• Fine-tuning responses for different contexts
• Handling ambiguity and bias in text prompts

Image Generation and Manipulation

• Optimizing prompts for AI-generated images
• Controlling style, composition, and elements
• Working with AI-powered editing tools

Audio and Speech Processing

• Generating speech from text-based prompts
• AI-driven audio enhancement and synthesis
• Creating voice interactions with AI

Video Content Creation with AI

• Generating video clips using AI prompts
• Combining AI-generated text, images, and audio
• Editing and refining AI-created video content

Integrating Multimodal AI in Workflows

• Combining text, image, and audio outputs
• Building automated AI-driven content pipelines
• Case studies and real-world applications

Ethical Considerations and Best Practices

• AI bias and content moderation
• Privacy concerns in multimodal AI
• Ensuring responsible AI use

Summary and Next Steps