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Here’s What You Get:
What the Course Is
How AI & LLMs Work: A Fast-Track Crash Course for Busy Professionals is a cohort-based online course designed to help professionals quickly understand how artificial intelligence (AI) — especially large language models (LLMs) like GPT, Claude, and others — actually work at a technical level without requiring deep math or programming experience.
Unlike typical AI courses that focus on tools or surface-level usage, this course explains the internal mechanics of LLMs using interactive, intuitive methods that make complex concepts accessible.
Who Ishan Anand Is
Ishan Anand is an AI educator, engineer, and communicator with experience in technology leadership and building tools that make advanced concepts clear and practical. He is known for innovative teaching methods (e.g., implementing GPT-2 fully in spreadsheet form to help people explore model internals) and has spoken on AI and tech topics at major conferences.
Who the Course Is For
This course is ideal for busy professionals — including but not limited to:
Technical managers and engineering leaders who need to lead AI initiatives
Developers without formal AI or machine-learning education
Product managers and executives responsible for AI strategy
Analysts, consultants, and other STEM professionals wanting to bridge the gap between AI buzz and real understanding
No advanced programming background or deep math is required — just a willingness to learn and a basic ability to work with spreadsheets or follow logical explanations.
Core Teaching Approach
A standout feature of this course is the use of a real LLM (GPT-2) implemented in a spreadsheet — so students can see and manipulate how a model predicts text without writing code or diving into complex equations. This “hands-on” exploration helps demystify key components of LLMs.
This approach has been highlighted as a practical way to visualize and understand the mechanics of AI models, making traditionally abstract concepts much more intuitive.
What You’ll Learn
During the course (typically delivered over several live sessions with recorded versions available), you’ll explore key foundational elements of modern AI and LLMs:
LLM Fundamentals
What LLMs really are and how they “predict” language
The difference between AI, machine learning, and deep learning
Core concepts like tokenization and embeddings
Architecture Insight
How neural networks, transformer components (like attention), and multi-layer structures work to generate responses
How GPT-style models process and generate text step by step
Hands-On Exploration
Using spreadsheets or browser interfaces to interact with and analyze how a real LLM functions
Seeing how the model’s internal math produces meaningful output without abstraction
Real-World Understanding
How to interpret and explain AI behavior in business contexts
How to talk intelligently with engineers, stakeholders, or clients about AI technology
Learning Experience & Extras
The course offers a blend of live sessions, recordings, quizzes, community engagement (e.g., Discord), and direct instructor support.
Successful participants often emerge with:
Increased confidence in evaluating and using AI
A deeper technical understanding that goes beyond surface descriptions
The ability to lead AI-related decisions rather than just follow them
Why This Course Stands Out
Key differentiators of this crash course include:
No heavy math or coding required Practical, intuitive explanations using spreadsheets Direct relevance to real business decisions and leadership Fast-track format tailored to professionals with limited time
This makes it especially useful for professionals who want a clear, substantive understanding of how modern AI systems work — not just how to use them.
In Summary
How AI & LLMs Work: A Fast-Track Crash Course for Busy Professionals by Ishan Anand is a practical, technically grounded, and time-efficient educational experience that teaches the workings of AI and LLMs from first principles using interactive, accessible methods. It’s designed to empower busy professionals — from managers to developers — to truly understand, communicate, and lead with AI rather than just follow trends.
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