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Lawal Ridwan

You’ve tried outsourcing – $50-$150 per 60-second clip, 3-day turnaround, and the “editor” still misspells your CTA.

You bought $97/month AI tools that promise “one-click” yet you still end up screen-recording, converting aspect ratios, manually adding subs that never match the beat.

Imagine 30 Days From TodayYou drop a raw idea (“how the Roman Empire fell”, “3 dark-psychology pricing hacks”, “1066 battle that changed English forever”) into a single form field, hit Submit, and by the time you’ve made coffee:.

Read more

You’ve tried outsourcing – $50-$150 per 60-second clip, 3-day turnaround, and the “editor” still misspells your CTA.

You bought $97/month AI tools that promise “one-click” yet you still end up screen-recording, converting aspect ratios, manually adding subs that never match the beat.

Imagine 30 Days From TodayYou drop a raw idea (“how the Roman Empire fell”, “3 dark-psychology pricing hacks”, “1066 battle that changed English forever”) into a single form field, hit Submit, and by the time you’ve made coffee:.

  • A vertical 4-K video is rendered, captioned, music-mixed, and sitting in your MinIO cloud folder ready to post.

  • Every scene is uniquely illustrated in cinematic, painterly style (no more recycled Pexels clips everyone else uses).

  • Captions are word-by-word highlighted in the exact color/font that hooks scrollers.

  • You schedule 30 posts in 30 minutes… then spend the rest of the week closing clients while the algorithm works for you.

How It Works (the 3-step flow)

  1. Type your idea in a simple form.

  2. The system writes scenes, makes images, voice, captions, music—all by itself.

  3. You download and post. That’s it.

The Benefits (why this matters to you)

  • Save hours: 60-second videos produced automatically in minutes.

  • No tech headache: copy-paste setup, step-by-step guidance.

  • No expensive SaaS: run it on a low-cost server you control.

  • Consistent quality: clean captions, clear voice, cinematic visuals—every time.

  • Post daily with confidence: the system handles the heavy lifting.

What You’ll Learn (in simple words)

  • How to install n8n and make it your personal video machine.

  • How to turn a single sentence into a scene-by-scene script using Gemini.

  • How to create cinematic images automatically (Pollinations Flux).

  • How to generate natural-sounding voiceovers (ElevenLabs + fallbacks).

  • How to animate still images to match the voice length (no editing software).

  • How to add word-by-word captions that stop the scroll.

  • How to join scenes, add music, and export a final MP4.

  • How to store everything in MinIO so clips are organized and reusable.

  • How to scale: bulk ideas in, scheduled videos out.

Transform your content creation process today. Build once, create unlimited viral-ready videos forever.

Perfect for: Content Marketing, Social Media Management, Digital Agencies, Faceless YouTube Channels, TikTok Marketing, Instagram Reels, Automated Content Creation

Enroll now

What's inside

Learning objectives

  • A fully automated ai video creation machine
  • Create animated story videos daily without creative burnout
  • Save hundreds or thousands of dollars by avoiding paid tools
  • And the ability to produce youtube-ready faceless story videos on demand
  • Impress friends, clients, or collaborators with fully automated workflows

Syllabus

Introduction
Overview Of the AI Workflow
How To Install n8n On Your Locally PC
Tool Used
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Career center

Learners who complete YouTube AI Video : How To Create AI Story Video Generation will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in YouTube AI Video : How To Create AI Story Video Generation.
Serves as the definitive engineering blueprint for building production applications on multimodal foundation models like Google Gemini, covering long-context prompting, retrieval-augmented generation, agentic tool calling, evaluation pipelines, and latency optimization.
Teaches both developers and business builders how to structure reliable system instructions, few-shot examples, structured JSON outputs, and multimodal chains across Google Gemini and frontier LLM APIs.
Offers a comprehensive overview of Business Process Management (BPM), which is foundational to workflow automation. It covers essential concepts, methods, and techniques suitable for both beginners and advanced students. It is widely considered a standard textbook in academic settings.
Delves into the fundamental concepts behind building reliable, scalable, and maintainable data systems, including distributed storage. It provides a deep understanding of topics like data models, storage engines, replication, and consistency, which are directly applicable to cloud storage architectures. It valuable resource for undergraduate and graduate students, as well as working professionals.
The second edition of Foster's book, updated to include recent advancements like diffusion models, making it highly relevant to contemporary image generation. It offers a practical guide to building generative models with TensorFlow and Keras. This edition is particularly valuable for understanding the latest techniques.
Bridges no-code/low-code citizen development and full-stack software engineering, demonstrating how Google Gemini, GitHub Copilot, and natural-language AI assistants accelerate application prototyping, testing, and deployment.
This recent book focuses on two of the most impactful contemporary architectures in generative AI: Transformers and Diffusion Models, both crucial for state-of-the-art image generation. It provides hands-on experience, making it highly relevant for those looking to implement modern techniques.
Delves into the contemporary topic of Intelligent Automation and Hyperautomation, exploring the combination of RPA, AI, and other technologies. It provides a forward-looking perspective on the future of automation and its impact on businesses and society. It is essential for understanding the current trends in the field.
Given the increasing importance of data security and privacy, this book is highly relevant for understanding contemporary challenges in cloud storage. It provides practical guidance and case studies, making it valuable for professionals and students interested in cloud security. It useful reference for security practitioners.
Illustrates with visual clarity how modern transformer foundation models represent text and multimodal inputs, perform semantic search, and power intelligent conversational and agentic applications.
Security is paramount in cloud storage. must-read for understanding the security and privacy implications of storing data in the cloud. It provides an enterprise perspective on risks, compliance, and best practices, making it essential for IT professionals, security practitioners, and business managers.
Focusing on the practical aspects of implementing BPM, this book provides real-world examples and guidance for successful projects. It valuable resource for practitioners looking to apply BPM principles to workflow automation initiatives. It complements theoretical knowledge with actionable strategies.
Focuses specifically on invoking Google Gemini from Python to generate application code, automate data processing workflows, debug scripts, and prototype AI-powered services rapidly.
Must-read for anyone involved in an organization's cloud adoption journey. It provides proven strategies for transforming an organization using the cloud, addressing not just the technology but also the cultural and organizational changes required. Understanding this context is crucial for making informed decisions about cloud storage adoption and strategy.
Explores the evolution of RPA to include cognitive automation, highlighting real-world implementations and the risks and benefits involved. It provides a deeper understanding of the advanced forms of automation and their impact on enterprises. It's a good resource for those looking beyond basic RPA.
This is another classic textbook on distributed systems that provides a strong theoretical foundation for understanding cloud storage. It covers essential concepts like communication, processes, naming, synchronization, consistency and replication, fault tolerance, and security in distributed environments. It's suitable for advanced undergraduate and graduate students.
Is often cited as a foundational text in the academic study of cloud computing, covering key principles and paradigms that include storage. It's suitable for graduate students and researchers seeking a comprehensive overview of the field.
Walks practitioners through architecting low-code and code-first generative AI applications using orchestration frameworks, vector databases, memory buffers, and multimodal foundation model APIs.
Unpacks the underlying neural architecture of generative foundation models, showing technical readers how attention mechanisms, pretraining, and instruction tuning operate beneath the Gemini API.
Addresses contemporary data management challenges in the context of cloud environments, including topics like data governance and data security. It's relevant for professionals and graduate students dealing with large-scale data in the cloud.
Focuses on leveraging process automation technology, including workflow engines, to orchestrate various components like software, humans, and bots. It provides practical advice and explores how process automation fits into modern IT architectures. It is suitable for developers and architects.
Provides a practitioner-focused view of generative AI, including image generation, with an emphasis on real-world applications, deployment, and ethical considerations. It's valuable for professionals looking to integrate generative AI into their work.
Architects end-to-end generative AI and machine learning workloads on Google Cloud, showing solutions builders how to operationalize Vertex AI, Gemini models, data pipelines, and low-code AutoML services in production.
Focuses specifically on Generative Adversarial Networks (GANs), a key architecture in image generation. It provides practical guidance on building and training GANs, covering various techniques and applications. It's a useful resource for those wanting to specialize in GAN-based image generation.
Provides a solid foundation in FFmpeg, covering fundamental concepts and common tasks like scaling, cropping, and format conversion. It serves as an excellent starting point for those new to FFmpeg, offering a tutorial-like approach with practical examples. It's a valuable reference for everyday FFmpeg operations.
Focuses on the practical aspects of video encoding for streaming, emphasizing objective quality metrics and making informed decisions about encoding parameters. is highly relevant for FFmpeg users involved in optimizing video for delivery and understanding the impact of different settings.
This playbook focuses on leveraging Microsoft's Power Platform, including Power Automate, for digital transformation and automation. It is highly relevant given the mention of Power Automate courses. It provides guidance on using a specific popular automation platform.
Equips Python and JavaScript engineers to orchestrate Gemini and frontier language models with LangChain and LangGraph, covering retrieval pipelines, conversational memory, tool calling, and production evaluation.
Provides a solid foundation in cloud computing architecture and concepts, with a dedicated focus on storage as a key component. It's suitable for students and professionals looking for a structured introduction to the field. It can serve as a useful reference for understanding the broader cloud ecosystem.
Examines how Google's integration of Gemini foundation models into Search and AI Overviews reshapes digital communication, content discovery, brand visibility, and information retrieval strategy.
Provides the enduring mathematical foundations of neural representation learning, sequence modeling, and gradient optimization that underpin modern multimodal AI systems like Google Gemini.
Offers a practical, step-by-step guide to using Midjourney, a popular AI image generation tool. While less focused on the underlying models, it's highly relevant for users looking to create images with AI and understand prompting techniques. It's a valuable resource for practical application.
Focuses specifically on database storage in the cloud, including building and managing scalable and highly available cloud storage solutions for databases. It provides detailed examples and best practices.
Connects LangChain orchestration directly with Google Cloud Vertex AI and Gemini APIs, walking Python developers through enterprise retrieval-augmented generation, vector indexing, and multi-step autonomous agents.
This guide provides a comprehensive look at BPM, covering frameworks and methodologies for implementing process improvements. It useful resource for anyone involved in managing and optimizing business processes, which is directly applicable to workflow automation projects. It offers practical guidance for practitioners.
A comprehensive guide aimed at helping users master FFmpeg for various multimedia projects. likely covers a wide range of features and advanced techniques, making it a valuable resource for those seeking in-depth knowledge and proficiency in FFmpeg.
Demystifies visual and low-code machine learning on Google Cloud Vertex AI and BigQuery ML, empowering analysts and citizen developers to assemble predictive and generative AI workflows without heavy custom code.
This monograph provides a focused introduction to Variational Autoencoders (VAEs), a foundational generative model. It's a good resource for those wanting to delve specifically into the theoretical details and applications of VAEs.
Provides a practical, hands-on approach to workflow automation using Zapier, a popular no-code tool. It is ideal for beginners and those looking to automate tasks without extensive coding knowledge. It offers step-by-step guidance and real-world examples.
Foundational text in workflow modeling, providing tools and techniques for analyzing and improving business processes. While published some time ago, the principles of workflow modeling remain highly relevant for designing effective automation solutions. It's a valuable reference for understanding process design.
Offers an accessible, research-backed framework for non-programmers, educators, and citizen developers collaborating with frontier AI systems like Gemini as creative co-workers and tutors.
This textbook provides a solid understanding of cloud computing foundations and how to program applications for the cloud, including utilizing cloud storage services. It's suitable for undergraduate students and developers who want to gain practical skills in this area.
Takes a practical approach to cloud computing, making it suitable for those who want to understand how cloud storage is implemented and used in real-world scenarios. It covers the business case and operational benefits of moving to the cloud. This book good resource for both students and IT professionals.
Dives into the intricacies of video coding standards like H.264, H.265, and VP9, explaining the fundamental concepts behind video compression. Understanding these codecs is vital for advanced FFmpeg usage and optimization. It's a great resource for deepening technical understanding.
Distills core engineering patterns for reliable AI agents built atop frontier multimodal models like Gemini, covering structured outputs, memory management, tool invocation, routing, and evaluation loops.
Provides practical knowledge for implementing cloud storage using OpenStack Swift. It's suitable for those interested in building and managing their own cloud storage infrastructure. It delves into architecture, design examples, and use cases.
Effective prompting is crucial for controlling generative AI models, including those for image generation. focuses on the principles of prompt engineering, a valuable skill for anyone working with these tools.

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