AI Video Editing: Frame the Future
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Overview
This workshop is designed to equip video editors, specializing in news, documentaries, broadcasting, VOD (Video on Demand), and more, with the knowledge and skills necessary to harness AI and Machine Learning (ML) in their field. It's tailored for editors and broadcast professionals. Explore tools like Descript, Runway, Premiere Pro, Firefly, and more! The workshop aims to blend technical understanding with creative applications, highlighting how AI and ML can revolutionize video editing and open new career opportunities.
Objectives
Upon completion of this course, students will be able to:
- Have a comprehensive understanding of AI and ML basics.
- Apply AI tools to enhance video quality.
- Automate editing tasks.
- Improve efficiency in their workflow.
- Enhance storytelling, and visual effects skills.
- Understand ethical awareness in AI-assisted video editing.
- Prepare for future trends in video editing.
- See new career opportunities created by AI and ML.
Who Should Attend
- Broadcast Video Editors
- Post-Production Specialists
- Media Production Managers
- Journalists and Content Creators
- Film and Media Students
- Freelance Video Editors
- Technology Enthusiasts
- Broadcasting Companies' Technical Staff
- Educators and Trainers in Media Production
- Career Changers
Course Outline
Note: The course curriculum listed below is typically covered in class. The instructor may, at their discretion, adjust the lesson plan to meet the needs of the class.
Lesson 1: Introduction to AI and ML in Video Editing
- Basics of AI and ML: Definitions, evolution, and relevance in the current media landscape.
- Overview of AI tools and technologies used in video editing. These will include Premiere Pro’s Enhance Speech, Premiere Pro Text to Edit, Premiere Pro Auto Color Correction, Photoshop Generative Fill, Runway, Topaz Video AI, and more!
- Case studies of AI in news and documentary editing (short demo).
Lesson 2: Practical Applications of AI in Video Editing
- Automated video editing: Understanding AI-driven editing software.
- Enhancing video quality: Use of AI for upscaling, color correction, and noise reduction. - Speech and text recognition: Leveraging AI for transcription, subtitling, and localization.
Lesson 3: Creative Aspects of AI in Video Production
- AI in storytelling: How AI can assist in narrative construction.
- AI-generated graphics and visual effects.
- Ethical considerations in AI-assisted editing.
Lesson 4: The Future of AI in Broadcasting
- Predictive analytics and audience insights.
- Personalized content creation using AI.
- Emerging trends and future technologies in AI video editing.
Lesson 5: Career Opportunities and Skill Development
- Evolving roles and career paths in AI-enhanced video editing.
- Skill sets required for AI and ML specialization.
- Networking and professional development in the AI video editing domain.
Tools Used
- Adobe Premiere Pro (with some extensions not native to Premiere Pro) - Adobe Audition
- Adobe Firefly
- Adobe Photoshop
- Topaz Video and Photo Tools
- Chat GPT
- MidJourney
- Dall-E
- Descript
- Canva
- Klap
- Readability Scoring System
- Runway
- Eleven Labs
- And more!
Technical Requirements
Operating System:
A recent version of Windows (10 or later) or macOS (Catalina or later).
Internet Connection:
A stable and high-speed internet connection for using cloud-based AI tools.
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