Name: From Recipe to Chef: Become an LLM Engineer 100+ Projects
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What You'll Learn

Understand what large language models (LLMs) are and how they work using real-world analogies
Identify key ingredients that power LLMs, like training data, tokenization, and data quality.
Explain how LLMs are trained using concepts like batches, epochs, and loss functions.
Write better prompts using techniques like zero-shot, few-shot, and chain-of-thought.
Customize models using fine-tuning and tools like Hugging Face and LoRA.
Evaluate model performance using both quantitative and qualitative metrics.
Deploy LLMs using APIs, FastAPI/Flask, and host them on platforms like Hugging Face Spaces.
Build full LLM-powered applications using no-code tools and LangChain.
Monitor and improve your AI models using logs, feedback loops, and A/B testing.
Monitor and improve your AI models using logs, feedback loops, and A/B testing.

Requirements

No programming experience required – this course is designed for absolute beginners.
Curiosity about AI and how language models work is more than enough to get started.
Basic computer skills like using a browser, uploading files, and typing are helpful.
A laptop or desktop with internet access – no fancy hardware needed.
Optional: A free OpenAI API key (for hands-on projects using GPT).
Optional: Interest in building chatbots, writing prompts, or exploring AI careers.
All tools used (like Gradio, Google Colab, or LangChain templates) are free and beginner-friendly.

Beginners who want to break into the world of AI without technical jargon
Product managers and business leaders exploring AI-powered tools
Educators, content creators, and storytellers looking to harness LLMs
Career changers aiming 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, you’ll find this course deliciously valuable

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