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Generative AI For The Rest Of US

Your Future, Decoded

What you'll learn

Rome, AI, and the Trillion Dollar Market: Diving into the global AI market, we examine how countries across the world are harnessing AI, shaping the geopolitical and economic landscapes.

From Alan Turing to Generative AI: A Quick Timeline of Modern AI: Understanding AI's evolution is essential to grasping its current and future potential. Tracing AI's history from Turing's initial concepts to today's generative models, we provide context for AI's evolution and its pivotal moments.

From AI To Generative AI: Understanding The Magic Behind Our Machines: What is a neural network? How does it work? What's different about Generative AI from a technical perspective? Here, we explore the transition from traditional AI to the emergence of Generative AI, explaining key concepts and technologies that underpin this shift.

The Landscape of Generative AI: Foundation Models, Platforms, and Applications: What is a foundation model? What's the difference between OpenAI's and Google's models? Dive into the core of Generative AI and examine the models, platforms, and applications that are reshaping the industry.

Understanding the Cost: A practical look at the economics of using Generative AI, including cost factors, considerations for businesses and individuals, and how to navigate the financial aspects of deploying AI solutions.

Prompt Engineering: Efficiency in the Age of AI: An essential skill for interacting with AI, prompt engineering is broken down into strategies and best practices.

Generative AI and the Future of Work: Will AI take your job? We explore how Generative AI is transforming the workforce, reshaping industries, and what it means for future job markets.

Ethics, Limitations, and Controversies of Generative AI: Will AI wipe out humanity? Is Generative AI ethical? Are there limitations to AI's capabilities?

Description

The primary purpose of this book is to provide the average person with a comprehensive, 360-degree view of the Generative AI landscape.

It simplifies the material in a way that is suitable for both beginners and experts, enabling readers to understand everything they need to know about the topic and prepare for the future.

From foundational to cutting-edge, the book demystifies complex AI concepts in an easily understandable manner.

Even without a solid background in AI, readers will be able to grasp the most complex concepts.

The book answers many questions, including:

General knowledge

  • Wha…

Read more

The primary purpose of this book is to provide the average person with a comprehensive, 360-degree view of the Generative AI landscape.

It simplifies the material in a way that is suitable for both beginners and experts, enabling readers to understand everything they need to know about the topic and prepare for the future.

From foundational to cutting-edge, the book demystifies complex AI concepts in an easily understandable manner.

Even without a solid background in AI, readers will be able to grasp the most complex concepts.

The book answers many questions, including:

General knowledge

  • What is Generative AI?
  • How has AI evolved from the 1950s to the present day?
  • What are the most common foundational Generative AI models?
  • What are the differences between ChatGPT, Google Gemini, Claude, Mistral, LLaMA, Amazon Titan, Alibaba Tongyi Tingwu, and other Generative AI models?
  • What are the most common applications of Generative AI?

Our Economy

  • In what ways is the US leading the global AI industry, and why is China catching up very quickly?
  • How are the UK, Canada, Germany, France, Japan, South Korea, and other countries investing in AI?
  • What are the most common AI strategies and policies worldwide?
  • What are the current trends in Generative AI globally?
  • What is the relationship between AI, economy, and geopolitics?
  • How is the semiconductor industry shaping the future of Generative AI?

The Workforce

  • In what ways does AI automate tasks and transform jobs?
  • Will AI take over your job?
  • What are the predicted impacts of Generative AI on global GDP and personal income?
  • How is Generative AI used in healthcare, finance, marketing, education, retail, manufacturing, and other industries?
  • What are the most common myths about AI?

The Applications

  • What are the leading applications of Generative AI that you can start using today?
  • In what ways do AI-assisted platforms facilitate content creation, including writing, image generation, voice synthesis, and music composition, thereby enhancing creativity and productivity?

The Technology

  • How are generative AI models created?
  • What is the difference between "symbolic AI" and "connectionist AI"?
  • How are AI, machine learning, deep learning, and generative AI related?
  • What is supervised learning, unsupervised learning, and reinforcement learning?
  • What is autonomous generative AI and how is it different?

Your Productivity

  • How are costs for Generative AI services, like ChatGPT, Google Gemini, Claude, and similar platforms, calculated for regular users and developers?
  • What is "tokenization," and how is it used in Generative AI?
  • How can you increase your productivity using Prompt Engineering?
  • What are the most advanced Prompt Engineering techniques?

Ethics, Regulation, and Security

  • How can AI wipe out humanity?
  • How is the Dead Internet Theory related to Generative AI?
  • Why is the Godfather of Deep Learning worried about the future?
  • How do figures like Elon Musk, Geoffrey Hinton, and Chomsky view the potential risks of Generative AI? Are their concerns valid?
  • What are the limitations and criticisms of current Generative AI technologies in terms of understanding and intelligence?
  • How are the United States, China, the EU, and the UK approaching AI regulation?
  • How is Generative AI harming the environment?
  • Should we be optimistic or pessimistic about the future of Generative AI?

Filled with interesting facts, statistics, demonstrations, criticisms, and answers to a multitude of questions, the book is a must-read for anyone interested in their future!


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Tools and technologies you will practice

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Course content


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The author

Aymen El Amri

Aymen El Amri

@eon01

Aymen El Amri is an author, entrepreneur, trainer, and software engineer who has excelled in a range of roles and responsibilities in the field of technology, including DevOps & Cloud Native, Cloud Architecture, Python, NLP, Data Science, and more.

Aymen has trained hundreds of software engineers and written multiple books and courses read by thousands of other developers and software engineers.

Aymen El Amri has a practical approach to teaching, based on breaking down complex concepts into easy-to-understand language and providing real-world examples that resonate with his audience.

Some projects he has founded include FAUN.dev()eralabs.io, and Marketto. You can find Aymen on X and Linkedin.

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Generative AI For The Rest Of US

Your Future, Decoded