Ever wondered how AI is transforming industries and creating opportunities that were unimaginable just a few years ago?
'AI will not take your job, but someone who knows how to use AI might,' says Richard Baldwin.
Read more
Ever wondered how AI is transforming industries and creating opportunities that were unimaginable just a few years ago?
'AI will not take your job, but someone who knows how to use AI might,' says Richard Baldwin.
Ever wondered how AI is transforming industries and creating opportunities that were unimaginable just a few years ago?
'AI will not take your job, but someone who knows how to use AI might,' says Richard Baldwin.
Are you ready to master the art of generating everything from captivating video scripts to innovative business strategies, all at the touch of a button?
Dive into 'All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev'—where you'll learn to harness the full potential of AI tools like ChatGPT, Midjourney, and more. Transform your creative vision and technical skills into real-world applications and lead the charge in the AI revolution.
This masterclass is perfect for anyone, from developers and creatives to entrepreneurs and enthusiasts, who wants to understand and apply cutting-edge AI technologies like ChatGPT, Leonardo AI, Dall-E, Google Bard, Gemini by Deepmind, Midjourney, and Stable Diffusion. Whether your interest lies in content creation, social media, advertising, SEO, YouTube scripts, business communication, or even gaming and art, this course has got you covered.
In this course, you will dive deep into the heart of AI and learn how to create your own models and apps using the latest technologies like ChatGPT, GPTs, the Assistant API, diffusion models, Google Colab, and more.
Here's what you can expect:
In-Depth AI Knowledge: Gain a solid foundation in AI basics, including the history and development from DeepMind to AlphaGo, machine learning, deep learning, neural networks, Diffusion Models and Large Language Models (LLMs).
Prompt Engineering: Unlock the full potential of AI with advanced prompt engineering techniques. In this course, you'll learn how to craft precise and effective prompts to guide AI tools like ChatGPT, Midjourney, and Stable Diffusion to produce desired outcomes. Whether you're generating text, creating images, or developing complex AI models, mastering prompt engineering allows you to fine-tune inputs to achieve high-quality, relevant outputs for any content or application scenario.
Mastering Midjourney: Uncover the secrets of Midjourney to transform text into stunning visuals tailored for any platform. Learn to navigate aspect ratios and styles perfect for enhancing digital marketing or artistic projects, making every image a masterpiece of your making.
Stable Diffusion: Delve into Stable Diffusion's capabilities for custom image generation and editing. Master techniques for style, composition, and detail adjustments to create visuals that stand out in personal, professional, and social media settings.
Adobe Firefly: Harness the power of Adobe Firefly to seamlessly integrate AI into your creative processes. Gain skills in generating and refining images that align perfectly with specific project needs, ensuring your visuals resonate across all media.
DALL-E: Explore DALL-E’s revolutionary ability to generate detailed images from simple descriptions. Learn to manipulate elements for specific contexts and dimensions, empowering you to produce versatile and impactful visuals for any use case.
Practical Skills and Applications: Learn to create effective prompts, integrate ChatGPT into custom applications, and develop GPT-based apps. Master generative art with Midjourney, Stable Diffusion, and DALL-E 3, delve into code generation, debugging, and documentation with ChatGPT, and even build websites and games like Snake.
Creative AI Tools: Experiment with AI video tools to create talking AI avatars, visually stunning videos, and dive into 3D world creation. Utilize AI photo tools for editing and personalizing images, exploring Leonardo AI for inpainting, outpainting, and more.
Sound and Music Innovation: Discover the fascinating world of text-to-audio and text-to-music creation.
Business and Marketing Applications: Generate innovative business ideas, optimize writing for business communication, and explore lead generation techniques.
Ethical Insights and Future Perspectives: Engage in discussions about AI's ethical considerations, copyrights, privacy, and future implications.
Interactive Learning Experience: With over 34 hours of content, lifetime access, regular updates, and quick support, you’ll be actively involved in learning through example projects, combining various AI tools for optimal application.
Comprehensive Toolset Knowledge: Get to grips with essential tools like Node.JS, Flowise, StackAI, Voiceflow, Dall-E 3, Midjourney, Stable Diffusion, Leonardo AI, D-ID, and many others.
Industry-Specific Applications: From creating music videos and social media content to developing speech and image recognition applications, the course provides insights into diverse industry applications.
Transformative Opportunities: Unleash your creativity, enhance productivity, and open up new income sources. Whether it's for personal development or professional advancement, this course prepares you for the AI-driven future.
Earn with AI: Learn how to monetize your skills through avenues like the GPT Store and more.
LLM and Diffusion Model Applications: Understand and apply the workings of Large Language Models (LLMs) and diffusion models.
GPT-Based Development: Develop your own GPT-based apps and assistants for various industries.
Speech and Image Recognition: Deepen your knowledge and create practical applications in these fields.
Monetization Opportunities: Explore avenues for earning money with your Ai-Skills
OpenAI API Mastery: Understand and apply the OpenAI API and Assistant API.
Custom GPT Integration: Build your own GPTs and integrate ChatGPT into custom applications like websites.
App Development Skills: Develop apps using tools like Google Colab, GitHub, and various programming languages.
Advanced AI Techniques: Master fine-tuning LLMs and diffusion models, including creating your own models and using Lora Fine-Tuning for specific image creation.
Creative Media Projects: Create music videos, social media content, and deepfakes with tools like Stable Diffusion & Google Colab.
Text-to-Speech Innovations: Utilize technologies like Whisper by OpenAI or Elevenlabs for AI avatars.
GPT for Business: Explore GPT applications for lead generation and other business uses.
AI Ethics Discussion: Engage in important conversations about ethical concerns, copyrights, and privacy in AI.
Additionally, you will learn about important tools like Node.JS, Flowise, StackAI, Voiceflow, Dall-E 3, Midjourney, Stable Diffusion, Leonardo AI, D-ID, and many more.
This course is ideal for anyone who wants to dive deeper into the world of AI – from developers and creatives to entrepreneurs and even those who just want to learn.
You will harness the transformative power of AI technology to develop innovative solutions and broaden your understanding of the diverse applications of AI.
Take this opportunity to gain a comprehensive understanding of AI technologies and strengthen your skills in developing AI applications.
By the end of 'All of AI' you will have a holistic understanding of AI, its applications, and the skills to harness its power for various purposes. If you're ready to embark on a transformative journey into AI and position yourself at the forefront of this technological revolution, this course is tailor-made for you.
Sign up today and start your journey to become an expert in the AI world.
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What's inside
Learning objectives
- Introduction to ai: what artificial intelligence is and what it is not
- Detailed prompt engineering for midjourney, chatgpt, dall-e, stable diffusion, adobe firefly and more
- Understanding learning methods: machine learning, deep learning, neural networks
- Examples of ai: fsd, llms, voice assistants, diffusion models, deepfakes & more
- Fundamentals of chatgpt
- The basics of ai
- All functions of chatgpt
- The history of ai from deepmind to alphago by ibm
- How llms (large language models) work
- Using the openai playground
- Working with the openai api and assistant api
- How diffusion models work
- Building your own gpts
- Building assistants with openai
- Building simple apps with the openai api
- Supervised learning and reinforcement learning
- Speech and image recognition
- Everything about gpts and the gpt store
- Creating a builder profile and earning money with gpts
- Generating leads with gpts
- Integrating zapier actions into gpts
- Incorporating gpts into websites with flowsie and node js
- Overview of programming languages, libraries, and development tools
- Using google colab
- Exploring github and huggingface
- Details about llms: parameters, prompt engineering, multimodality
- Gpt vision
- Training your own diffusion models
- Fine-tuning of diffusion models [loras] with colab and dreambooth
- Everything about loras and models in stable diffusion
- Creating your own face with stable diffusion
- Using diffusion models like midjourney, adobe firefly, and dall-e
- Fine-tuning of llms [gpt] in google colab
- Text-to-speech with elevenlabs and whisper
- Creating music videos with deforum
- Social media videos with wrapfusion and kaiber
- Deepfakes with wav2lip and voice cloning
- Ai avatars with midjourney, elevenlabs, and d-id
- Ethical concerns, copyright, privacy issues
- Create content faster than ever before through effective prompt techniques
- Opportunities and risks of ai/ml like chatgpt
- Ai voice tools: easily create ai-generated speech for any use case and even clone your own voice completely
- Ai video tools: create video presentations and quickly produce social media content
- Ai photo tools: add movement to images, edit pictures using inpainting and outpainting
- Combine ai tools for the best results with upscaling and more
- Learn, improve, and debug code programming
- Programming your own games
- Monetizing your ai skills and learn how to make money with ai
- Side hustle ideas and how to sell chatbots
- Building a ai automation agency
- Boosting productivity in all areas of your life
- Seo optimization of your content
- All parameters and modifiers in leonardo and midjourney
- Show more
- Show less
- Introduction to ai: what artificial intelligence is and what it is not
- Detailed prompt engineering for midjourney, chatgpt, dall-e, stable diffusion, adobe firefly and more
- Understanding learning methods: machine learning, deep learning, neural networks
- Examples of ai: fsd, llms, voice assistants, diffusion models, deepfakes & more
- Fundamentals of chatgpt
- The basics of ai
- All functions of chatgpt
- The history of ai from deepmind to alphago by ibm
- How llms (large language models) work
- Using the openai playground
- Working with the openai api and assistant api
- How diffusion models work
- Building your own gpts
- Building assistants with openai
- Building simple apps with the openai api
- Supervised learning and reinforcement learning
- Speech and image recognition
- Everything about gpts and the gpt store
- Creating a builder profile and earning money with gpts
- Generating leads with gpts
- Integrating zapier actions into gpts
- Incorporating gpts into websites with flowsie and node js
- Overview of programming languages, libraries, and development tools
- Using google colab
- Exploring github and huggingface
- Details about llms: parameters, prompt engineering, multimodality
- Gpt vision
- Training your own diffusion models
- Fine-tuning of diffusion models [loras] with colab and dreambooth
- Everything about loras and models in stable diffusion
- Creating your own face with stable diffusion
- Using diffusion models like midjourney, adobe firefly, and dall-e
- Fine-tuning of llms [gpt] in google colab
- Text-to-speech with elevenlabs and whisper
- Creating music videos with deforum
- Social media videos with wrapfusion and kaiber
- Deepfakes with wav2lip and voice cloning
- Ai avatars with midjourney, elevenlabs, and d-id
- Ethical concerns, copyright, privacy issues
- Create content faster than ever before through effective prompt techniques
- Opportunities and risks of ai/ml like chatgpt
- Ai voice tools: easily create ai-generated speech for any use case and even clone your own voice completely
- Ai video tools: create video presentations and quickly produce social media content
- Ai photo tools: add movement to images, edit pictures using inpainting and outpainting
- Combine ai tools for the best results with upscaling and more
- Learn, improve, and debug code programming
- Programming your own games
- Monetizing your ai skills and learn how to make money with ai
- Side hustle ideas and how to sell chatbots
- Building a ai automation agency
- Boosting productivity in all areas of your life
- Seo optimization of your content
- All parameters and modifiers in leonardo and midjourney
- Show more
- Show less
Syllabus
Introduction
Course Overview
My Goal and a quick Tipp
All important Links in one spot
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Syllabus
Good to know
Save this course
Save
Reviews summary
Well-received ai course: chatgpt, midjourney, stable diffusion & app dev
Suitable for beginners despite covering advanced topics.
Instructor is engaging and makes the material easy to understand.
Highly informative course that covers AI tools in depth.
Activities
Review AI concepts
Show steps
Brush up on the fundamental concepts of AI to strengthen your foundation for the course.
Browse courses on
Artificial Intelligence
Show steps
-
Revisit key definitions and concepts of AI, machine learning, deep learning, and related fields.
-
Review basic algorithms and techniques used in AI, such as regression, classification, and clustering.
-
Explore introductory resources and tutorials to refresh your understanding of AI concepts.
Review 'Deep Learning' by Ian Goodfellow
Show steps
Expand your theoretical knowledge by reading a seminal work on deep learning, providing a comprehensive foundation for the course.
View
Deep Learning
on Amazon
Show steps
-
Obtain a copy of 'Deep Learning' by Ian Goodfellow.
-
Read and understand the key concepts and algorithms presented in the book.
-
Summarize the main ideas and their relevance to the course.
-
Identify areas where the book aligns or complements the course content.
Complete online tutorials on AI tools
Show steps
Enhance your practical skills by working through guided tutorials on the specific AI tools covered in the course.
Browse courses on
ChatGPT
Show steps
-
Identify reputable online resources or platforms offering tutorials on ChatGPT, Midjourney, and other relevant AI tools.
-
Select tutorials that align with your learning objectives and skill level.
-
Follow the tutorials step-by-step, experimenting with the AI tools and exploring their capabilities.
-
Document your learnings and any challenges you encounter during the process.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in peer discussion groups
Show steps
Engage with fellow learners to discuss course concepts, share insights, and support each other's learning journey.
Show steps
-
Join or create peer discussion groups related to the course topics.
-
Actively participate in discussions, asking questions, sharing ideas, and providing feedback to others.
-
Collaborate on projects or assignments with other group members to enhance your learning.
Develop a simple AI application
Show steps
Apply your knowledge by creating a functional AI application that demonstrates your understanding of the concepts covered in the course.
Browse courses on
AI Development
Show steps
-
Identify a problem or task that can be solved using AI.
-
Design the architecture and functionality of your AI application.
-
Choose appropriate AI algorithms and techniques for your application.
-
Implement your application using a programming language and development tools.
-
Test and refine your application to ensure it meets the desired requirements.
Explore advanced AI techniques
Show steps
Deepen your understanding by exploring advanced AI techniques that extend beyond the course curriculum.
Browse courses on
Fine-tuning
Show steps
-
Identify advanced AI topics that pique your interest.
-
Find reputable online resources or courses that provide tutorials on these topics.
-
Follow the tutorials, experimenting with the techniques and applying them to practical scenarios.
-
Share your learnings and any challenges you encounter with other learners or mentors.
Contribute to open-source AI projects
Show steps
Deepen your practical knowledge by contributing to open-source AI projects, gaining exposure to real-world applications.
Browse courses on
OpenAI
Show steps
-
Identify open-source AI projects that align with your interests and skills.
-
Explore the project's documentation and codebase to understand its purpose and functionality.
-
Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
-
Submit your contributions to the project's repository, following the project's guidelines.
Mentor junior AI enthusiasts
Show steps
Enhance your understanding by sharing your knowledge and supporting the learning of others.
Show steps
-
Identify opportunities to mentor junior AI enthusiasts or students.
-
Provide guidance and support on AI concepts, tools, and techniques.
-
Review their work, provide feedback, and encourage their growth.
-
Reflect on your own understanding and identify areas where you can further improve.
Review AI concepts
Show steps
Brush up on the fundamental concepts of AI to strengthen your foundation for the course.
Browse courses on
Artificial Intelligence
Show steps
- Revisit key definitions and concepts of AI, machine learning, deep learning, and related fields.
- Review basic algorithms and techniques used in AI, such as regression, classification, and clustering.
- Explore introductory resources and tutorials to refresh your understanding of AI concepts.
Review 'Deep Learning' by Ian Goodfellow
Show steps
Expand your theoretical knowledge by reading a seminal work on deep learning, providing a comprehensive foundation for the course.
View
Deep Learning
on Amazon
Show steps
- Obtain a copy of 'Deep Learning' by Ian Goodfellow.
- Read and understand the key concepts and algorithms presented in the book.
- Summarize the main ideas and their relevance to the course.
- Identify areas where the book aligns or complements the course content.
Complete online tutorials on AI tools
Show steps
Enhance your practical skills by working through guided tutorials on the specific AI tools covered in the course.
Browse courses on
ChatGPT
Show steps
- Identify reputable online resources or platforms offering tutorials on ChatGPT, Midjourney, and other relevant AI tools.
- Select tutorials that align with your learning objectives and skill level.
- Follow the tutorials step-by-step, experimenting with the AI tools and exploring their capabilities.
- Document your learnings and any challenges you encounter during the process.
Participate in peer discussion groups
Show steps
Engage with fellow learners to discuss course concepts, share insights, and support each other's learning journey.
Show steps
- Join or create peer discussion groups related to the course topics.
- Actively participate in discussions, asking questions, sharing ideas, and providing feedback to others.
- Collaborate on projects or assignments with other group members to enhance your learning.
Develop a simple AI application
Show steps
Apply your knowledge by creating a functional AI application that demonstrates your understanding of the concepts covered in the course.
Browse courses on
AI Development
Show steps
- Identify a problem or task that can be solved using AI.
- Design the architecture and functionality of your AI application.
- Choose appropriate AI algorithms and techniques for your application.
- Implement your application using a programming language and development tools.
- Test and refine your application to ensure it meets the desired requirements.
Explore advanced AI techniques
Show steps
Deepen your understanding by exploring advanced AI techniques that extend beyond the course curriculum.
Browse courses on
Fine-tuning
Show steps
- Identify advanced AI topics that pique your interest.
- Find reputable online resources or courses that provide tutorials on these topics.
- Follow the tutorials, experimenting with the techniques and applying them to practical scenarios.
- Share your learnings and any challenges you encounter with other learners or mentors.
Contribute to open-source AI projects
Show steps
Deepen your practical knowledge by contributing to open-source AI projects, gaining exposure to real-world applications.
Browse courses on
OpenAI
Show steps
- Identify open-source AI projects that align with your interests and skills.
- Explore the project's documentation and codebase to understand its purpose and functionality.
- Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
- Submit your contributions to the project's repository, following the project's guidelines.
Mentor junior AI enthusiasts
Show steps
Enhance your understanding by sharing your knowledge and supporting the learning of others.
Show steps
- Identify opportunities to mentor junior AI enthusiasts or students.
- Provide guidance and support on AI concepts, tools, and techniques.
- Review their work, provide feedback, and encourage their growth.
- Reflect on your own understanding and identify areas where you can further improve.
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