AI Video Production with Claude, Nano Banana Pro & Veo 3.1

Name: AI Video Production with Claude, Nano Banana Pro & Veo 3.1
Rating: 4.6 (4 reviews)

Learn AI for content creation, prompting techniques, and workflows to create high-quality content faster

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Created byStarweaver Experts

Last updated 5/2026

English

What you'll learn

Apply the Universal Prompt Structure (Subject, Context, Style, Constraints, Output) to improve outputs across all AI tools for content creation.
Run the full GenAI for content creation workflow, from Claude to Nano Banana Pro to Veo 3.1 or Seedance 2.0, transforming a single brief into a short-form video
Use Claude to create scene-by-scene prompt documents for seamless content creation with AI, enabling efficient execution across image and video platforms
Direct Nano Banana Pro to generate character sheets, cinematic scenes, and key frames for consistent AI-powered content creation.
Choose between Veo 3.1, Seedance 2.0, and Higgsfield based on motion complexity, audio needs, and best fit for AI content creation workflows.
Navigate platform disclosure requirements in AI-generated content creation: C2PA Content Credentials, EU AI Act Article 50, and platform-specific labeling rules
Build and maintain reusable prompt libraries and locked descriptor sheets to scale AI content creation efficiently across teams and multiple briefs.

Course content

4 sections • 21 lectures • 1h 17m total length

The 2026 Shift - From One-Off Prompts to Workflow Pipelines6:44
Frames the course through three shifts—visual continuity, image-to-video, and structured prompts—showing the move from single prompts to full pipelines.
The Universal Prompt Structure - Subject, Context, Style, Constraints, Output6:47
A diagnostic framework of five elements—Subject, Context, Style, Constraints, and Output. Most prompt failures come from missing one element. Learners practice on failed prompts before Section 2.
Claude as Director - The Scene-by-Scene Prompt Document7:11
Applies V1.1 and V1.2 in practice. Claude turns a one-line brief into a full scene-by-scene prompt document with image and motion prompts, plus a locked descriptor block for consistent characters and environments.
Building Effective Agents0:25
Hands-on-Lab : Diagnose & Direct: Apply the Prompt Structure with Claude0:14

Scripting with Claude - Beats, Pacing, and the Brief Pack6:00
Learners create a brief pack in a Claude Project—a workspace for files, instructions, and chats. It includes audience, intent, tone, platform, and references. Claude generates a script with timed beats, on-screen text, and shot descriptions for prompt conversion.
Storyboarding with Claude - From Script to Scene-by-Scene Prompts5:25
Claude turns the script into a structured prompt document by locking character, environment, and style, then creating scene-wise image and motion prompts. The final output is ready for Nano Banana Pro in Module 3.
Voice and Audio (Parallel Track) - Direction, Cloning, and the Audio Lane4:34
Audio is the third lane of the prompt document, created alongside visuals. Claude defines voice direction (tone, pacing, emotion) and sends it to ElevenLabs V3 or a consent-based cloned voice, turning each scene’s audio cue into a production-ready asset that will later be mixed with visuals in Video 4.3.
Long Context Prompting Tips0:21
Roleplay Activity : Brief Intake Call0:39
Hands-on-Lab : Plan & Direct: Build the Pre-Production Package with Claude0:15

Character Creation - Reference-Conditioned Generation and Locked Descriptors6:01
Reference-conditioned generation is used to lock a character’s identity using reference images plus a text prompt. The learner feeds Claude’s character block into Nano Banana Pro with multi-image fusion to combine multiple references into a consistent character sheet (front, three-quarter, side views, expressions, and outfits). This sheet then becomes the fixed reference for all later renders.
Cinematic Reference Scenes - Style Anchors for the Whole Piece4:46
Reference scenes are the second locked artifact. The learner generates two or three high-fidelity establishing scenes — interior, exterior, key environment — that anchor the lighting, palette, lens, and grade for everything downstream. These reference scenes are then passed back into Nano Banana Pro on every subsequent render so style continuity is enforced by the tool rather than left to hope.
Key Frames and Iteration as Craft5:06
The learner uses the prompt document to render a key frame for each scene, inheriting the character sheet and references. If a frame is incorrect, they iterate by identifying and fixing weak prompt elements before re-rendering, turning the process into structured refinement rather than guesswork.
Gemini Image Generation0:30
Hands-on-Lab : Direct Nano Banana Pro: Character Sheet, Reference & Key Frame0:16

Key Frame to Motion - Temporal Coherence and the Veo / Seedance Choice5:51
Temporal coherence ensures frames feel like one continuous world in motion, achieved by locking key frames and constraining motion through prompts. The learner tests these key frames in Veo 3.1 and Seedance 2.0 to compare outputs and develops a rule for when to use each tool based on shot type.
Release Decisions - Workflow Shape, Platform Fit, and Disclosure5:13
The merged release lesson combines workflow shape (unified vs stacked workflows) and platform fit (short, long-form, or static formats with disclosure rules). The learner finalizes a Release Decision Card and adds C2PA Content Credentials before publishing.
Veo by Google DeepMind0:30
Hands-on-Lab: From Key Frame to Released Asset — Direct Motion and Disclosure0:15
Guided Capstone - End-to-End Pipeline on a Single Brief10:43
In this non-graded final project, you will integrate every concept from the course into a single end-to-end production. You will take a new one-line brief, run pre-production with Claude, direct Nano Banana Pro for visual production, generate motion with Veo 3.1 or Seedance 2.0, and release with full provenance metadata. The goal is to demonstrate the diagnostic mindset, the pipeline discipline, and the disclosure habits this course has built up across every prior activity.
GenAI for Content Creation

Requirements

Basic familiarity with generative AI tools for content creation such as ChatGPT, Claude, or Gemini for writing, research, or everyday tasks
No advanced technical or coding skills required
A computer or laptop with internet access.
A willingness to experiment, iterate, and apply concepts through hands-on AI content creation exercises

Description

What if you could take a simple idea and turn it into high-quality content using AI Video Production without inconsistency, guesswork, or endless trial and error?

In today’s fast-changing digital landscape, AI Video Production is no longer just about writing better prompts. It’s about building structured, repeatable workflows that deliver consistent and scalable results. This course is designed to help you make that shift.

You will move beyond basic prompting and learn how to become a systematic AI Video Production, capable of producing professional-grade output using modern AI tools for video Production. Instead of relying on scattered tools, you will build a complete, end-to-end workflow from ideation to final delivery.

The course begins by helping you understand how generative AI (Gen AI) for Video Production is transforming the content production process. You will learn a universal prompt structure that works across tools, giving you a reliable framework for how to use AI to create content efficiently and consistently.

As you progress, you will learn how to create content with AI in a structured way, thereby developing scripts, storyboards, and prompt documents that guide the entire creative process. You will explore how to integrate multiple Video Production tools into a unified pipeline, ensuring clarity, consistency, and scalability.

The course then moves into visual production, where you will use advanced AI Video Production tools to generate characters, scenes, and key frames with consistent visual identity. You will also learn how to convert these into motion using modern video generation platforms.

A key strength of this program is its workflow-driven approach. You won’t just learn concepts, but you will apply them step by step within a real AI-generated Video Production pipeline, including voice generation and final content assembly.

By the end of the course, you will complete a guided capstone project, producing a fully developed piece of content using the best AI tools for Video Production and a structured workflow.

If you already use AI tools but want to create faster, more consistent, and professional-quality output, this course will help you master how to use AI for Video Production effectively and confidently.

Who this course is for:

This course is designed for content creators, marketers, and professionals who already use AI for content creation and want to go beyond basic prompting to a more structured, workflow-driven approach. It is ideal for those looking to master generative AI for content creation, leverage advanced AI tools for content creation, and build scalable systems for AI-powered content creation in modern marketing and digital workflows.

AI Video Production with Claude, Nano Banana Pro & Veo 3.1

What you'll learn

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Course content

Foundations5 lectures • 21min

Pre-Production with Claude6 lectures • 17min

Visual Production with Nano Banana Pro5 lectures • 17min

Motion, Release, and Capstone5 lectures • 23min

Requirements

Description

Who this course is for: