Transform from Beginner to LLM Engineer with Fun Cooking Analogies

Enroll in this Free Udemy Course on LLMs! Learn AI with fun cooking analogies—start your journey today!

Dive into the world of Large Language Models (LLMs) with this engaging course that teaches you how to master cutting-edge AI technologies without any coding experience. Whether you’re curious about AI, aiming to work with language models, or aspiring to become an LLM engineer, this course serves as the perfect entry point. With creative cooking analogies, we simplify complex concepts—transforming you from a novice to an AI chef in no time.

Explore how LLMs are built, trained, deployed, and evaluated through relatable metaphors. Learn to slice and dice data like chopping vegetables, bake your understanding through training methods, and season your projects with effective prompt engineering. The course guides you through all the essential skills, from data preparation to launching your own applications using FastAPI and Hugging Face Spaces, ensuring you grasp the critical elements of architecture, optimization, and performance metrics.

Ideal for students, educators, creators, and professionals without a technical background, you’ll learn to communicate with LLMs using natural language, design effective prompts, and understand their internal workings. Armed with fundamental knowledge and practical projects, you’ll be well-prepared to dive into the realm of generative AI and take on exciting roles. If you’re ready to go from recipe reader to LLM chef, join us on this delightful journey where we serve knowledge with a side of fun!

What you will learn:

  • Understand what Large Language Models (LLMs) are and how they work using real-world analogies.
  • Identify key ingredients driving LLMs, such as training data, tokenization, and data quality.
  • Explain how LLMs are trained using concepts like batches, epochs, and loss functions.
  • Customize models using fine-tuning and tools like Hugging Face and LoRA.
  • Evaluate model performance using both quantitative and qualitative metrics.
  • Create complete applications powered by LLM using no-code tools and LangChain.
  • Monitor and improve your AI models using logging, feedback loops, and A/B testing.

Course Content:

  • Sections: 11
  • Lectures: 61
  • Duration: 5h 24m

Requirements:

  • No programming experience required: this course is designed for absolute beginners.
  • Basic computer skills like using a browser, uploading files, and writing are helpful.

Who is it for?

  • Beginners looking to enter the AI world without technical jargon.
  • Product managers and business leaders exploring AI-powered tools.
  • Educators, content creators, and storytellers seeking to leverage LLMs.
  • Professionals in transition aspiring to become LLM engineers, prompt designers, or AI specialists.
  • If you love learning through real-life analogies (like food), interactive projects, and hands-on creativity, this course will be delightfully valuable.

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