AI-Driven Video Editing and Production in Entertainment Training Course

Module 1: Foundations of AI in Video Production

• The shift from manual to "Cognitive" editing: Understanding the AI video stack
• Categorizing AI tools: Machine learning vs. Deep learning in a cinematic context
• Hardware requirements: Optimizing GPUs and cloud computing for AI video processing
• Overview of AI integration in major NLEs (Premiere Pro, DaVinci Resolve, Avid)
• Identifying "bottleneck" tasks suitable for immediate AI automation
• Practical session: Auditing a standard production pipeline to identify optimal AI intervention points

Module 2: AI-Assisted Non-Linear Editing (NLE) Workflows

• Automated transcription and text-based editing: Cutting video via word processors
• AI-driven footage logging: Using metadata and facial recognition for instant clip retrieval
• Intelligent "Rough Cut" generation based on script analysis and pacing algorithms
• Smart padding and gap filling: Automating the boring parts of timeline management
• Multicam synchronization and automated switch-cutting using audio-visual cues
• Practical session: Using text-based editing to create a 60-second interview cut from 2 hours of raw footage

Module 3: Generative AI for Video Synthesis and B-Roll

• Text-to-Video generation: Creating cinematic b-roll from descriptive prompts
• Video-to-Video transformation: Changing style, weather, or time of day via AI
• Extending clips: Using generative fill to expand frames or extend shot durations
• Creating synthetic characters and digital doubles for background crowd scenes
• Neural Style Transfer: Applying iconic cinematic aesthetics to raw footage
• Practical session: Generating a 10-second high-fidelity background environment using a text-to-video model

Module 4: Advanced AI Visual Effects and Rotoscoping

• Magic Mask and Smart Selector: Automating complex rotoscoping in seconds
• AI-driven object removal: Removing wires, rigs, and unwanted elements from moving shots
• Sky and environment replacement: Using neural networks for photorealistic backgrounds
• Face aging, de-aging, and digital makeup applications via AI plugins
• Automated tracking and match-moving: Simplifying 3D asset integration
• Practical session: Removing a moving object from a handheld shot using AI-powered content-aware fill

Module 5: AI-Driven Color Grading and Image Enhancement

• Shot matching: Using AI to automatically balance color between different cameras
• Neural filters for color: Emulating film stock and classic cinematic palettes
• AI Upscaling: Converting legacy HD footage to 4K and 8K with detail recovery
• Automated skin tone protection and enhancement in complex lighting
• Video denoising and de-interlacing using deep learning models
• Practical session: Performing an AI-assisted shot match across three disparate camera sources

Module 6: Sound Design and Automated Dialogue Replacement (ADR)

• AI-powered voice cloning for consistent ADR and narration
• Automated noise removal: Cleaning up field recordings and wind interference
• Generative soundscapes: Creating ambient audio based on visual scene analysis
• Intelligent music ducking and automated dialogue balancing
• Audio-to-Visual synchronization: Automating lip-syncing for localized content
• Practical session: Using AI to clean up "unusable" location audio and matching it with a cloned voice clip

Module 7: AI in Virtual Production and Digital Environments

• Generating real-time backdrops for LED volumes using AI engines
• Predictive camera tracking: Improving the link between physical and virtual cameras
• Automated lighting match: Using AI to sync digital lighting with on-set fixtures
• NeRF (Neural Radiance Fields): Turning 2D photos into 3D navigable environments
• Simplifying the Unreal Engine pipeline through AI-assisted asset creation
• Practical session: Creating a 3D environment from a series of smartphone photos using NeRF technology

Module 8: Automated Curation and Social Media Repurposing

• AI-driven highlight detection: Automatically finding the "best moments" in sports or events
• Dynamic resizing: Using AI to convert 16:9 cinematic footage to 9:16 vertical video
• Automated subtitling and localization for multi-platform distribution
• Sentiment analysis: Using AI to predict which scenes will drive social engagement
• Creating automated "trailers" and "teasers" from feature-length content
• Practical session: Using an AI tool to automatically generate five social media "reels" from a 10-minute video

Module 9: Deepfakes, Synthetic Media, and Authenticity

• The mechanics of deepfakes: GANs and facial reenactment technology
• Identifying AI-generated content: Visual artifacts and forensic detection tools
• Ethical use of digital resurrection and synthetic performances in documentaries
• Protecting brand integrity: Establishing workflows for verifying media authenticity
• Implementing digital watermarking and C2PA standards for AI-generated assets
• Practical session: Analyzing synthetic video clips to identify markers of AI generation and deepfake manipulation

Module 10: Legal, Ethical, and Future Trends in AI Media

• Copyright and AI: Navigating the ownership of prompts and synthetic outputs
• Labor rights and AI: Understanding the impact on guilds and creative unions
• The future of "Direct-to-Edit": Real-time video generation during live filming
• Personalized Cinema: AI-driven interactive storytelling and branching narratives
• Building a long-term AI strategy for a creative media organization
• Practical session: Drafting an "AI Usage Policy" for a production studio to ensure ethical and legal safety

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588