CF

How AI & LLMs Work: A Fast-Track Crash Course for Busy Professionals

8h 9m 42s
English
Paid

Gain a comprehensive understanding of modern AI models in just a few hours without wading through complex mathematics or months of preparation. This course is specifically tailored for professionals who seek a technical grasp of AI without needing programming skills.

Why This Course Stands Out

AI is pivotal to your career, products, and business strategy, but diving into the complexities of transformers, model architecture, and machine learning can be daunting and time-consuming. This course simplifies the process by:

  • Eliminating extensive theoretical content,
  • Offering an intuitive and visual understanding of AI,
  • Completing the learning journey in just a few hours, without requiring a specialized educational background.

This unique course delivers a deep technical insight into LLM via a real-world GPT-2 implementation using spreadsheets.

Who This Course Is For

This course is perfectly suited for STEM professionals such as:

  • Software and Web Developers
  • Engineers and Scientists
  • Product and Project Managers
  • Technical Sales and Marketing Specialists
  • Leaders and Directors involved in AI strategy

No prior experience in machine learning is needed—only a technical background is required.

What You Will Master

Through a spreadsheet-based implementation of GPT-2, you will:

  • Quickly grasp how large language models function
  • Decompose critical components: tokenization, embeddings, attention, transformer layers
  • Achieve a genuine AI literacy, useful for managing products and teams
  • Establish a foundation for further learning and AI projects

Why Spreadsheets?

No programming or advanced mathematics knowledge is necessary. The course adopts a no-code approach through spreadsheets, making complex concepts:

  • Visual,
  • Interactive,
  • And easily memorable.

This is an engaging course where you will explore the model from the inside, step by step.

Practical Outcome

Upon completing the course, you will have a clear understanding of how transformers enable models like ChatGPT, Claude, and Llama, along with a handy tool in spreadsheet form for your own experimentation.

About the Author: Ishan Anand

Ishan Anand thumbnail

Ishan Anand is a US AI engineer and educator focused on making the inner workings of large language models accessible to busy professionals — particularly product managers, executives, and engineers who need a working mental model of LLMs without committing to a deep ML curriculum.

His CourseFlix listing carries How AI & LLMs Work — A Fast-Track Crash Course for Busy Professionals — a structured walkthrough of the modern LLM landscape at a level aimed at intelligent non-specialists.

Material is paid and aimed at busy professionals needing working knowledge of LLMs. For broader content, see CourseFlix's LLMs & Fundamentals category page.

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#1: 000 How to attend this class asynchronously or on-demand
All Course Lessons (6)
#Lesson TitleDurationAccess
1
000 How to attend this class asynchronously or on-demand Demo
03:13
2
001 How AI & LLMs Work_ A Fast-Track Crash Course for Busy Professionals
01:36:58
3
002 How LLMs Work Class Session 2 Embeddings
01:31:16
4
003 How LLMs Work Class Session 3 Neural Networks and Backpropagation
01:40:33
5
004 How LLMs Work Class Session 4 Multi-head attention
01:31:24
6
005 How LLMs Work Class Session 5 Putting it all together
01:46:18
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Frequently asked questions

What prerequisites are needed for this course?
The course is designed for professionals with a technical background. It does not require prior experience in machine learning or programming skills. A basic understanding of technology concepts is beneficial for grasping the material presented in the course.
What project or practical implementation does this course include?
The course includes a real-world implementation of GPT-2 using spreadsheets. This practical exercise helps students understand large language models by breaking down components such as tokenization, embeddings, attention, and transformer layers.
Who is the target audience for this course?
This course is tailored for STEM professionals, including software and web developers, engineers, scientists, product and project managers, technical sales and marketing specialists, and leaders involved in AI strategy. It is ideal for those seeking a technical understanding of AI without deep programming knowledge.
How does the depth of this course compare to others on AI?
Unlike courses that dive deep into the mathematics and extensive theoretical content of AI, this course offers an intuitive and visual understanding of key concepts. It provides a technical insight into modern AI models and LLMs without requiring months of preparation, making it suitable for busy professionals.
What specific tools or platforms are covered in the course?
The course focuses on a spreadsheet-based approach to implementing GPT-2, which allows students to learn about AI and LLMs through a familiar and accessible tool. This approach demystifies complex concepts by providing a visual and interactive learning experience.
What topics are not covered in this course?
The course does not cover extensive mathematical foundations or programming practices typically associated with machine learning. It focuses on providing a high-level technical understanding and intuitive insights into AI and LLMs rather than in-depth coding or algorithmic development.
What is the expected time commitment for completing the course?
The course is designed to be completed in just a few hours. Its structure accommodates the schedules of busy professionals by offering an effective learning journey without requiring extensive time commitment.