About the Course:
This course dives deep into the two most powerful generative video models in the world today - Google VEO and OpenAI Sora. You’ll explore how they work, what differentiates them, how to craft effective prompts, and what business and creative opportunities they unlock.
Designed for learners who want to understand AI-powered video creation, this course simplifies complex underlying architectures, compares model capabilities, and provides hands-on use case simulations that demonstrate real-world value.
Course Objective:
By the end of this course, you will be able to:
- Understand the fundamental concepts behind generative video models
- Explain how Google VEO and OpenAI Sora differ in terms of architecture, capabilities, and output
- Identify appropriate use cases for each model (ads, storytelling, education, etc.)
- Craft effective prompts for high-quality video generation
- Understand the limitations, ethical issues, and deployment challenges
- Stay ahead with trends and the potential future of AI video generation
Who is the Target Audience?
This course is designed for:
- Content Creators & Marketers - looking to create AI-generated visual stories, ads, or product explainers
- AI Enthusiasts & Developers - who want to learn how cutting-edge video generation models work
- Educators & Trainers - to create interactive, AI-generated visual learning assets
- Game Designers & Filmmakers - interested in pre-visualization and AI-driven creative design
- Product Managers & Entrepreneurs - exploring video AI integration in their workflows or SaaS tools
Basic Knowledge:
- Basic understanding of Artificial Intelligence and Machine Learning concepts
- Familiarity with terms like text-to-image, diffusion models, or transformers (helpful but not mandatory)
- No coding knowledge is required, but a curiosity about AI creativity tools is a must
- Optional: Knowledge of tools like Midjourney, RunwayML, or D-ID will help learners appreciate how VEO/Sora compare