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Understanding Large Language Models

Demystify the AI behind ChatGPT, Google Bard, and Copilot: how LLMs work, what they can *really* do, and their true impact.

4.7
(9,850)
9,850 studentsEnglish

Created by Dr. Priya Nair · AI Educator & Former ML Engineer

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This course includes

  • 20 video lessons
  • 5h 14m of content
  • Downloadable resources
  • Full lifetime access
  • Certificate of completion
  • 30-day money-back guarantee

What you'll learn

  • Explain what an LLM is in simple, non-technical terms.
  • Describe the basic training process of a modern LLM, from data to deployment.
  • Identify key LLM components like tokens, embeddings, and the attention mechanism.
  • Craft effective prompts for various LLM applications, from summarization to brainstorming.
  • Differentiate between open-source and proprietary LLMs and their practical implications.
  • Recognise common LLM limitations such as hallucinations, bias, and security risks.
  • Evaluate ethical considerations in LLM development, deployment, and societal impact.
  • Understand the real-world applications and transformative potential of LLMs across industries.

About this course

You've used ChatGPT, you've seen the headlines, but do you actually understand what a Large Language Model (LLM) *is*? This course cuts through the hype and technical jargon, giving you a crystal-clear picture of the foundational technology driving the current AI revolution. We won't just talk *about* LLMs; we'll dissect their core components, explore their capabilities, and honestly confront their limitations. This isn't a coding course. It's for anyone curious about AI: business leaders looking to leverage these tools, educators trying to understand the impact on learning, policymakers needing to grasp the technology, or just genuinely interested individuals. If you want to move beyond superficial interactions and develop a robust, informed perspective on AI, you're in the right place. By the end, you'll be able to articulate how models like GPT-4 or Llama 2 are trained and deployed. You'll understand the significance of concepts like 'prompt engineering' and 'hallucinations,' and you'll confidently evaluate real-world AI applications, separating marketing fluff from genuine innovation. You'll even build your own simple prompts to experience the underlying mechanics firsthand. Forget endless theoretical debates. We focus on practical understanding and critical thinking, equipping you to engage intelligently with the fastest-moving technology of our time. You'll gain the confidence to discuss AI with experts and make informed decisions, whether for your career or simply to navigate the future.

Course content

5 modules · 20 lessons · 5h 14m

  • Welcome to the AI Revolution (and this Course!)Preview
    12m
  • Beyond the Hype: What is an LLM?Preview
    15m
  • A Brief History of Talking Computers
    14m
  • How LLMs 'Learn' Language
    17m

Requirements

  • Basic computer literacy (e.g., using web browsers, copy-pasting text).
  • A genuine curiosity about artificial intelligence and its impact on the world.
  • No prior programming, advanced math, or AI knowledge is required.
  • Access to a computer (desktop or laptop) and a stable internet connection.

Your instructor

D

Dr. Priya Nair

AI Educator & Former ML Engineer

Priya has trained 40,000+ students and led ML teams at two startups. She specialises in making complex AI approachable.