AI video creation training

Lesson 1 • Setting Up Your Production Environment

Guides learners through account setup, API access, GPU considerations, and folder structure. Establishes a repeatable workspace before any project begins.

Lesson 2 • How AI Video Generation Works

Covers the core mechanics of diffusion models, transformers, and latent space rendering. Grounds all later tool use in conceptual understanding.

Lesson 3 • Mapping the AI Video Ecosystem

Surveys the major categories of AI video tools: generators, editors, lip-sync, and upscalers. Helps learners choose the right tool for each production need.

Lesson 1 • Controlling Motion and Timing

Teaches motion-specific language: speed, trajectory, and transition cues that guide temporal behaviour. Directly reduces unwanted flickering and drift.

Lesson 2 • Style Consistency Across Clips

Covers seed locking, style reference images, and prompt anchoring to maintain visual coherence across multiple clips. Essential for multi-scene projects.

Lesson 3 • Anatomy of an Effective Video Prompt

Breaks down the subject, action, style, camera, and lighting components of a strong prompt. Provides a reusable template for consistent results.

Lesson 4 • Negative Prompting and Exclusion Logic

Explains how negative prompts suppress artefacts, unwanted elements, and style bleed. Pairs with positive prompting for precise output control.

Lesson 1 • Text-to-Video Generation Workflow

Walks through the full generation cycle: prompt input, parameter setting, generation, and review. Establishes a repeatable production routine.

Lesson 2 • Managing Generation Quality and Artefacts

Identifies common generation failures—morphing faces, flickering, temporal noise—and applies targeted fixes. Reduces wasted generation credits.

Lesson 3 • Video-to-Video Style Transfer

Applies AI style transfer to existing footage, transforming live video into stylised clips. Enables repurposing of existing assets with new aesthetics.

Lesson 1 • Custom Avatar Creation from Photos

Guides learners through creating a personalised avatar from reference photos, covering input requirements and output refinement. Enables branded presenter identity.

Lesson 2 • Script Writing for AI Presenters

Adapts scriptwriting for AI speech synthesis: pacing, punctuation cues, and phonetic clarity. Directly improves lip-sync accuracy and delivery naturalness.

Lesson 3 • Lip-Sync Accuracy and Correction

Diagnoses and corrects lip-sync drift using alignment tools and re-rendering techniques. Ensures professional-grade synchronisation in final output.

Lesson 4 • Choosing and Configuring AI Avatars

Covers avatar selection criteria—realism, diversity, brand fit—and initial configuration settings. Aligns avatar choice with audience and content tone.

Lesson 1 • Upscaling and Resolution Enhancement

Uses AI upscaling models to increase resolution and recover detail in low-quality clips. Prepares footage for high-resolution delivery formats.

Lesson 2 • Audio Enhancement and Noise Removal

Applies AI audio restoration to clean dialogue, remove background noise, and balance levels. Completes the post-production pipeline for delivery-ready files.

Lesson 3 • Automated Editing and Scene Assembly

Applies AI scene detection, auto-cut, and pacing tools to assemble rough cuts rapidly. Reduces manual editing time while maintaining narrative flow.

Lesson 4 • Colour Grading with AI Assistance

Uses AI colour matching and LUT generation to achieve consistent, professional colour across clips. Accelerates grading without requiring colourist expertise.

Lesson 1 • Final Export and Delivery Preparation

Covers codec selection, platform-specific export presets, and quality control checks before delivery. Ensures files meet technical specifications for every channel.

Lesson 2 • Integrating AI and Live Footage

Combines AI-generated clips with real camera footage using matching techniques for colour, grain, and motion. Expands creative range and production value.

Lesson 3 • Pre-Production Planning for AI Projects

Applies storyboarding, shot lists, and prompt planning to AI video projects before generation begins. Prevents costly rework and aligns output with creative intent.

Lesson 4 • Adding Text, Graphics, and Motion Design

Integrates AI-generated and manually designed lower thirds, titles, and animated graphics. Elevates production quality and brand consistency.

Lesson 1 • Team Collaboration and Role Assignment

Defines roles, handoff protocols, and shared workspace conventions for multi-person AI video teams. Prevents duplication and maintains quality across contributors.

Lesson 2 • Cost Management and Resource Optimisation

Analyses generation costs, GPU usage, and storage to optimise spending without sacrificing quality. Builds a sustainable production budget model.

Lesson 3 • Quality Assurance at Scale

Implements QA checklists, automated review scripts, and sampling strategies for large video batches. Maintains output standards without reviewing every file manually.

Lesson 4 • Template and Asset Library Development

Creates reusable prompt templates, style presets, and asset libraries that accelerate future projects. Reduces per-video production time significantly.

Lesson 1 • Ethical Use of AI-Generated Video

Examines deepfake risks, consent requirements, and disclosure obligations for synthetic media. Equips learners to make defensible ethical decisions in production.

Lesson 2 • Building an AI Video Strategy

Synthesises all course learning into a documented AI video strategy aligned with organisational goals. Produces a roadmap for ongoing capability development.

Lesson 3 • Intellectual Property in AI Video

Covers ownership of AI outputs, training data rights, and commercial use restrictions. Prevents legal exposure in client and commercial projects.

Lesson 4 • Measuring Video Performance and ROI

Applies engagement metrics, conversion tracking, and A/B testing to evaluate AI video effectiveness. Connects production decisions to measurable business outcomes.