Description
From Recipe to Chef: Become an LLM Engineer 100+ Projects. Using a beginner-friendly approach and cooking metaphors, this course introduces you to the world of Large Language Models (LLMs) without any programming knowledge. Suitable for AI enthusiasts, students, entrepreneurs, and non-technical professionals, this course simplifies complex concepts with examples like tokenization (mincing ingredients) or prompt engineering (combining flavors). You’ll learn the basics of LLMs, from model architecture and pre-training to evaluation and deployment, and experience tools like FastAPI, Gradio, and LangChain. You’ll also learn how to design effective prompts, identify model biases, and build real-world projects like chatbots or summaries. By the end, you’ll be prepared for roles like a prompt engineer or AI product manager with a deep understanding of the AI lifecycle and practical skills. This course will allow you to gain the confidence to enter the field of productive artificial intelligence through a variety of projects.
What you will learn
- Understand what Large Language Models (LLM) are and how they work using real-world examples.
- Identify key components that power LLMs, such as training data, tokenization, and data quality.
- Explain how to train LLMs using concepts such as batches, periods, and error 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 quantitative and qualitative criteria.
- Deploying LLMs using APIs, FastAPI/Flask, and hosting them on platforms like Hugging Face Spaces.
- Build complete LLM-based applications using no-code tools and LangChain.
- Monitor and improve AI models using logs, feedback loops, and A/B testing.
This course is suitable for people who:
- Beginners who want to enter the world of artificial intelligence without technical jargon.
- Product managers and business leaders exploring AI-powered tools.
- Educators, content creators, and storytellers looking to utilize LLMs.
- Career changers who plan to become an LLM engineer, prompt designer, or AI specialist.
- If you love learning through real-world analogies (like food), interactive projects, and hands-on creativity, you will find this course invaluable.
Course Details From Recipe to Chef: Become an LLM Engineer 100+ Projects
- Publisher: Udemy
- Instructor: Jet Drag Academy: School of AI
- Training level: Beginner to advanced
- Training duration: 6 hours and 21 minutes
- Number of lessons: 161
Course headings
Course Prerequisites From Recipe to Chef: Become an LLM Engineer 100+ Projects
- 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.
