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Arnold Oberleiter

AI videos are making bigger waves than ever. For instance, OpenAI has announced SORA, leaving entire industries in awe.

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AI videos are making bigger waves than ever. For instance, OpenAI has announced SORA, leaving entire industries in awe.

According to OpenAI, SORA is not just great for videos, but can also understand physics. In the future, SORA is expected to serve as a "world simulator" for robotics, and even the gaming industry is moving in this direction. Whole sectors will be transformed by such technologies in the future. Be at the forefront and shape the future.

Do you want to understand what AI video tools are currently available, how to use them, and how to create such videos?

Then this course is for you.

Imagine what it feels like to create AI videos that have the potential to make it to a cinema screen or just generate some attention on social media. I'm sure your friends would be envious.

In this course, among other things, you will learn:

  • Diffusion models, Loras, Seeds, and Checkpoints

  • Prompt engineering for AI videos

  • An overview of SORA by OpenAI - The future of AI videos?

  • The simplest tools for creating AI videos, including Stable Video Diffusion and MoonvalleyAI

  • RunwayML, PikaLabs, and Haiper AI: What you need to know for Text to Video, Video to Video, Image to Video, and Video Editing

  • The importance and applications of AI avatars in various industries

  • Practical use cases and examples, from efficiency improvement in companies to creating welcome videos

  • Advanced techniques and tools for AI video creation like Google Colab "Wav2Lip", FaceSwap with Seaart, Stable Wrap Fusion, and many more

  • Everything about data protection, ethical concerns, and the future of AI and AGI

  • Everything about AI avatars and their applications in marketing, sales, customer acquisition, for explainer videos, or online content.

  • Using tools like Google Colab and technologies that can even turn you into Spiderman.

  • Many case studies and, of course, practical application with video editing.

  • We will even look at the future of AI, data protection, and ethical concerns of this technology.

With many bestsellers and thousands of 5-star reviews, it's proven: Quality and helpfulness are my top priorities.

The sooner you sign up, the better your chances of staying ahead of the competition. Plus, I can answer questions more quickly – so don't hesitate.

Click the button now. Because your future starts today, not tomorrow.

Enroll now

What's inside

Learning objectives

  • Fundamentals of ai videos
  • Prompt engineering for ai videos and everything about diffusion models, loras, seeds, and checkpoints
  • An overview of sora by openai
  • Everything about stable video diffusion: the simplest tool for ai videos from images
  • Moonvalleyai: free text-to-video tool on discord
  • Runwayml: everything you need to know
  • Pikalabs: text to video, video to video, image to video, and video editing
  • Haiper ai: powered by google deepmind
  • All about pixverse, morph studios, and ltx studios, kaiber invideo, fliki, kaiber, lalamu, and more
  • All about ai avatars like heygen, d-id, synthesia, elai, and more
  • Ai videos and avatars for seo, onboarding, social media marketing, customer acquisition, explainer videos, branding, and more
  • Introduction to google colab and the best tools like wrapfusion, deforum, wav2lip, faceswap, deepfake, and more
  • Personal projects such as creating, editing & cutting videos with capcut, pika, shotcut
  • Pictory and woxo for the very lazy: complete videos with one click
  • Opus pro for youtube shorts, instagram, or tiktok
  • Insight into canva and adobe express for instagram reels and more
  • The future of ai videos for the job market
  • Copyrights, data protection, and copyright
  • Show more
  • Show less

Syllabus

Introduction and Tipps
Welcome
Course Overview
My goal, a few Tipps and what you can expect from the course
Read more
Important Links
Basic Information on AI Videos with Examples
Silly Question: What Is Actually a Video?
Diffusion Models, Loras, Seeds, and Checkpoints
Prompt Engineering for AI Videos
SORA by OpenAI Overview - The Future of AI Videos?
The Easiest Tools for Creating AI Videos
What This Section Is About
Stable Video Diffusion: The Easiest Tool for AI Videos from Images
MoonvalleyAI: Free Text-to-Video Tool on Discord
RunwalML: Everything You Need to Know
PikaLabs: Text to Video, Video to Video, Image to Video, and Video Editing
Haiper AI: Supported by Google Deepmind
PixVerse, Morph Studios, and LTX Studios
Are You a "Real" Learner?
More Tools Overview: InVideo, Fliki, Kaiber, Lalamu, and More
A Little Recap and What Comes Next
Section 4: AI Avatars: The Applications Are Vast!
What This Section Is all About
[Solution Nr. 1] Heygen: AI Avatars, AI Clones, Language Translations, and More
Overview of the Most Important AI-Avatar Tools: D-ID, Synthesia, Elai
Case Studies, Why You Should Use AI-Avatars
Recap and a bit of Homework
AI-Video Creation Like a Pro! and More Tools to Play With
Introduction to Github: The Plattform for Programming and hosting Code
Introduction to Google Colab: Run Python Code on Google GPU!
Clone your favorite Voice with Elevenlabs and download Videos
Organize your Data for the next Steps
Wav2Lip: Let's Deepfake with Google Colab
Face Swap Videos in Google Colab
Face Swap in SeaArt is faster than Google Colab
Animate Images with D-ID
Stable Diffusion [Wrapfusion] in Google Colab
Overview of Deforum Diffusion to make Ai-Animation
Make AI Music Videos with Deforum Diffusion
Create 3D Animation in Deforum Stable Diffusion
Kaiber: Make Ai-Videos like Linkinpark (the easy way)
Conclusions and what to do next
Practical Use Cases: Video Editing, Creation, and Your Project
A Great Example: Complete Film Creation with AI
Your Project Create: Make, Cut & Edit Videos with Pika, Shotcut and CapCut
Pictory & WOXO for the Lazy Ppl: Complete Videos with One Click
Opus Pro for YouTube Shorts, Instagram or TikTok
Canva and Runway: Faster Social Media Content Creation
Instagram Reel in Adobe Express
What AI Videos and AGI Mean for Society and the Job Market
More Than Just Videos: The Future of AI Videos and Robotics!
AI is here, let's focus on the Things we can an can not do with it now
Copyrights: Can you really create what you want with AI?
My own safety: Will my data get used and spread all over the internet?
Will AI/AGI take all Jobs? What comes in the future and when will this happen
Ethical AI use and the Downside of AI
Recap and a Work Assignment
What Comes Next
My Thanks and What Comes Next
Bonus

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Helps students understand the fundamentals of AI videos, including diffusion models, loras, seeds, and checkpoints
Provides guidance on prompt engineering for AI videos, which is essential for creating effective and engaging videos
Offers an overview of SORA by OpenAI, which is a cutting-edge AI video generator
Introduces students to the simplest tools for creating AI videos, including Stable Video Diffusion and MoonvalleyAI
Covers the use of RunwayML, PikaLabs, and Haiper AI for text to video, video to video, image to video, and video editing
Discusses the importance and applications of AI avatars in various industries, such as marketing, sales, and customer acquisition

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AI-Videos: Be a Filmmaker with Artificial Intelligence with these activities:
Refresh your understanding of diffusion models
Recall the core concepts of diffusion models to make course content easier to understand.
Browse courses on Diffusion Models
Show steps
  • Review the basics of diffusion models, including the process of denoising and the role of the diffusion function.
  • Explore different architectures of diffusion models, such as U-Net and Transformer-based models.
  • Implement a simple diffusion model using a deep learning library such as PyTorch or TensorFlow.
Join a study group or participate in discussions
Engage with fellow learners through discussions or study groups to exchange ideas, clarify concepts, and strengthen your understanding of AI video technologies.
Browse courses on Collaboration
Show steps
  • Join an existing study group or discussion forum related to AI videos.
  • Participate actively in discussions, ask questions, and share your insights.
  • Collaborate with other learners on projects or assignments to enhance your teamwork and communication skills.
Explore the latest AI video tools with tutorials
Gain hands-on experience with the latest AI video tools through guided tutorials to enhance your understanding beyond theoretical concepts.
Browse courses on Video Creation
Show steps
  • Follow a tutorial to use RunwayML for creating videos from text or images.
  • Explore a PikaLabs tutorial to learn about video editing, text-to-video, and image-to-video conversion.
  • Use a Haiper AI tutorial to understand the applications of Google Deepmind's technology in AI videos.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Seek guidance from experienced professionals in the field
Connect with experts in the AI video industry to gain valuable insights, expand your network, and shape your career path.
Browse courses on Mentorship
Show steps
  • Identify potential mentors who have expertise in AI video technologies.
  • Reach out to mentors via email, LinkedIn, or other platforms to express your interest and request guidance.
  • Schedule regular meetings or video calls to discuss your progress, seek advice, and gain industry insights.
Create your own AI video project
Apply your understanding of AI video techniques to create your own project, solidifying your skills and showcasing your creativity.
Browse courses on Video Production
Show steps
  • Brainstorm and develop an idea for an AI video project that aligns with your interests.
  • Choose the appropriate AI video tools and resources for your project.
  • Create a storyboard or outline to plan the flow and content of your video.
  • Produce your AI video using the selected tools and techniques.
  • Edit and refine your video to enhance the narrative and visual impact.
Contribute to open-source AI video projects
Engage with the open-source community to enhance your understanding of AI video technologies, contribute to the development of tools, and build your portfolio.
Browse courses on Open Source
Show steps
  • Explore open-source AI video projects on platforms like GitHub.
  • Identify areas where you can contribute based on your skills and interests.
  • Start contributing to the project by submitting bug fixes, adding new features, or improving documentation.
Start a project to explore the ethical implications of AI videos
Engage in critical thinking and research on the ethical implications of AI videos, broadening your perspectives on the responsible use of technology.
Browse courses on Artificial Intelligence
Show steps
  • Identify and research different ethical concerns related to AI videos, such as privacy, bias, and manipulation.
  • Analyze case studies or examples of AI videos to understand their potential impact and ethical implications.
  • Develop a framework or guidelines for the ethical use of AI videos in various contexts.

Career center

Learners who complete AI-Videos: Be a Filmmaker with Artificial Intelligence will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and implementing AI models. This course provides a strong foundation in the fundamentals of AI videos, including diffusion models, prompt engineering, and text-to-video generation. Learners will gain hands-on experience using popular AI video tools such as Stable Video Diffusion and MoonvalleyAI, which are commonly used in the field. Additionally, this course covers advanced techniques such as Google Colab and FaceSwap, which are essential for building complex AI video models.
Data Scientist
Data Scientists play a crucial role in the development of AI solutions. This course provides a comprehensive foundation in AI video tools and techniques, which are essential for building and deploying AI-powered applications. By understanding the principles of diffusion models and prompt engineering, learners will gain the skills necessary to create and edit AI videos effectively. Additionally, this course covers legal and ethical implications of AI use, which is becoming increasingly important for Data Scientists to understand.
Content Creator
Content Creators are using AI videos to create unique and engaging content for online platforms. This course provides a comprehensive overview of AI video tools and techniques, as well as practical experience using popular AI video editing software. Learners will gain the skills necessary to produce high-quality AI videos for various purposes, such as social media, online courses, and video marketing.
Software Engineer
Software Engineers with expertise in AI video development are in high demand. This course provides a comprehensive overview of AI video tools and techniques, as well as practical experience using popular AI video libraries and frameworks. Learners will gain the skills necessary to integrate AI video capabilities into software applications, which is becoming increasingly common in industries such as entertainment, education, and marketing.
Video Editor
Video Editors with expertise in AI video editing are in high demand in the film and television industry. This course provides a comprehensive overview of AI video editing tools and techniques, as well as practical experience using industry-standard software. Learners will gain the skills necessary to edit and enhance AI videos, which are becoming increasingly common in movies, TV shows, and documentaries.
Technical Writer
Technical Writers are using AI videos to create clear and concise documentation. This course provides a foundation in AI video tools and techniques, as well as practical experience using popular documentation software. Learners will gain the skills necessary to write and produce AI video documentation for various purposes, such as user manuals, technical guides, and training materials.
Motion Graphics Artist
Motion Graphics Artists are using AI videos to create stunning visual effects and animations. This course provides a foundation in AI video tools and techniques, as well as practical experience using popular motion graphics software. Learners will gain the skills necessary to create and animate AI videos for various purposes, such as commercials, music videos, and video games.
User Experience Designer
User Experience Designers are using AI videos to create intuitive and user-friendly interfaces. This course provides an introduction to AI video tools and techniques, as well as practical experience using popular UX design software. Learners will gain the skills necessary to design and develop AI video interfaces for various purposes, such as websites, mobile apps, and software applications.
Animator
Animators are using AI videos to create realistic and engaging animated characters and environments. This course provides an overview of AI video tools and techniques, as well as practical experience using popular animation software. Learners will gain the skills necessary to create and animate AI videos for various purposes, such as movies, TV shows, and video games.
Marketing Manager
Marketing Managers are increasingly using AI videos to create engaging and effective marketing campaigns. This course provides a practical understanding of AI video tools and techniques, as well as their applications in various marketing channels. Learners will gain the skills necessary to develop and execute AI video marketing strategies that drive brand awareness, lead generation, and sales conversions.
Digital Artist
Digital Artists are using AI videos to create cutting-edge artwork and visual experiences. This course provides an introduction to AI video tools and techniques, as well as practical experience using popular digital art software. Learners will gain the skills necessary to create and manipulate AI videos for various purposes, such as fine art, commercial art, and video installations.
Project Manager
Project Managers in the AI industry need to have a solid understanding of AI video tools and techniques. This course provides a comprehensive overview of AI video development, including project planning, execution, and risk management. Learners will gain the skills necessary to manage AI video projects effectively, which is essential for delivering successful outcomes.
Product Manager
Product Managers in the AI industry must have a deep understanding of AI video technologies and their applications. This course provides valuable insights into the latest AI video tools and techniques, as well as their potential impact on various industries. Learners will gain the knowledge necessary to develop and market AI video products, which are becoming increasingly popular and transformative.
Instructional Designer
Instructional Designers are using AI videos to create engaging and effective learning experiences. This course provides a foundation in AI video tools and techniques, as well as practical experience using popular e-learning software. Learners will gain the skills necessary to design and develop AI video courses for various purposes, such as corporate training, online education, and professional development.
Game Designer
Game Designers are using AI videos to create immersive and interactive game experiences. This course provides an introduction to AI video tools and techniques, as well as practical experience using popular game development software. Learners will gain the skills necessary to design and develop AI video games for various platforms, such as mobile, PC, and console.

Reading list

We've selected nine 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 AI-Videos: Be a Filmmaker with Artificial Intelligence.
Provides a comprehensive overview of deep learning techniques for computer vision tasks, including image classification, object detection, and semantic segmentation. It serves as a valuable reference for understanding the underlying principles of AI video generation.
Covers the fundamental algorithms and applications of computer vision, including image formation, feature extraction, and object recognition. It provides a solid foundation for understanding the computer vision techniques used in AI video generation.
Provides a comprehensive overview of computer graphics, covering topics such as 3D modeling, rendering, and animation. It offers a good foundation for understanding the technical aspects of AI video generation.
Provides a practical introduction to robotics, vision, and control, covering topics such as kinematics, dynamics, and computer vision. It offers a good foundation for understanding the technical aspects of AI video generation, particularly for tasks involving the use of robots or drones in video capture or manipulation.
Provides a comprehensive overview of digital signal processing, covering topics such as Fourier analysis, filtering, and sampling. It offers a good foundation for understanding the technical aspects of AI video generation, particularly for tasks involving video processing or manipulation.
Offers a quantitative approach to the design and analysis of computer architectures. It provides a good foundation for understanding the underlying hardware technologies used in AI video generation, particularly for tasks involving high-performance computing or parallel processing.
Provides a comprehensive overview of operating system concepts, covering topics such as process management, memory management, and file systems. It offers a good foundation for understanding the underlying software technologies used in AI video generation, particularly for tasks involving distributed computing or resource management.
Provides a comprehensive overview of statistical learning methods, including supervised learning, unsupervised learning, and statistical modeling. It offers a good foundation for understanding the statistical techniques used in AI video generation, particularly for tasks involving data analysis or prediction.
Offers a comprehensive overview of information theory, inference, and learning algorithms, providing a theoretical foundation for understanding the AI techniques used in AI video generation. It is particularly useful for readers with a strong background in mathematics or statistics.

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