OpenAI Sora for Video Creation Training in Astana, Kazakhstan

This course introduces participants to OpenAI’s Sora, a powerful text-to-video model capable of producing high-fidelity videos from natural language descriptions. Learners will gain practical knowledge on crafting detailed prompts, refining generated results, and integrating Sora into content workflows for marketing, education, entertainment, and prototyping.

Introduction to Sora and Prompt Crafting

Understanding OpenAI Sora

• What is Sora? Capabilities and evolution

• Use cases: marketing, storytelling, simulation, education

• How Sora compares to other text-to-video tools (Runway, Pika, Synthesia)

Sora Interface and Access

• How to access Sora (developer preview, enterprise access, roadmap)

• Navigating the user interface/API (if applicable)

• Supported video formats, resolution, frame limits

Text-to-Video Prompt Engineering

• Writing clear, descriptive prompts (subject, setting, motion, style)

• Prompt structure: [Action] + [Setting] + [Style] + [Camera movement]

• Controlling time, transitions, and visual effects

• Using storytelling tone (cinematic, documentary, surreal, animated, etc.)

Refinement, Use Cases, and AI Video Strategy

Iteration and Refinement

• Prompt chaining for scene continuation

• Fixing artifacts or unwanted motion

• Enhancing realism or abstraction with modifiers

Real-World Applications

• Marketing: Short ads, product reveals, branded intros

• Education: Animated explainer scenes, concept visualization

• Entertainment: Music video concepts, short films, AI trailers

• Prototyping: Mockups for UI demos, architectural walkthroughs

Ethics, Limitations & Safety

• Limitations: movement artifacts, realism constraints

• Deepfake risk awareness and disclosure norms

• Responsible AI video creation policies

Sora Roadmap & Future of Video AI

• What's next for text-to-video models?

• Integration with agents, real-time generation, 3D/VR transitions

• Hands-on Exercises

• Summary and Conclusion