From Recipe to Chef: Become an LLM Engineer 100+ Projects
Learn AI & Large Language Models (LLMs) with zero code! Master prompting & fine-tuning using fun food analogies. Build practical AI skills easily.
Course Content
From Recipe to Chef: Become an LLM Engineer 100+ Projects is a beginner-level Udemy course taught by School of AI. It runs 4h 50m, is taught in English, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 65 reviews, with 14,832 students enrolled. It is a paid course, first published April 2025.
Master Large Language Models (LLMs) – No Coding Required
Unlock the power of AI with this beginner-friendly course, "From Recipe to Chef: Become an LLM Engineer." Learn to harness the capabilities of powerful language models like ChatGPT, Claude, Gemini, and LLaMA without writing a single line of code. Perfect for those curious about AI, breaking into the language model field, or aspiring LLM engineers.
What You'll Learn:
- LLM Fundamentals: Understand how large language models are built, trained, deployed, and evaluated through easy-to-grasp analogies. Discover concepts like model architecture, pretraining, and transfer learning.
- Prompt Engineering: Master the art of prompt engineering – the key to getting the most out of LLMs. Learn how to design effective prompts to achieve desired results, like prompt optimization.
- LLM Lifecycle: Explore the complete AI lifecycle, from understanding "What is a language model?" to deploying your own applications.
- Core Concepts: Gain fluency in essential LLM concepts, including model evaluation metrics (e.g., perplexity, BLEU score), tokenization, and the model's prediction process.
- No-Code Tools: Utilize no-code tools like FastAPI, Gradio, Hugging Face Spaces, and LangChain to build and deploy LLM-powered applications.
- Hands-on Projects: Build a portfolio of hands-on AI projects, including chatbots, summarizers, and recommender apps.
- Advanced Topics: Dive into important considerations like bias detection, hallucinations, feedback loops, and strategies for monitoring and improving your AI systems.
- Career Paths: Explore exciting career opportunities in AI, such as prompt engineer, AI product manager, and LLM architect.
Who is this course for?
This course is ideal for:
- Students
- Educators
- Creators
- Entrepreneurs
- Professionals from non-technical backgrounds seeking to learn AI fundamentals and build real-world applications.
No coding experience is necessary. You'll learn to communicate with LLMs using natural language and understand the technical aspects behind the scenes, including GPUs and TPUs.
Embark on a flavorful journey into the world of generative AI and gain the knowledge and confidence to build your own AI products, contribute to open-source projects, or simply enhance your understanding of machine learning.
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