Become an LLM Engineer: 100+ Projects to Harness AI Power

This course offers a fun and beginner-friendly approach to learning about Large Language Models (LLMs) without any coding experience. If you’re interested in artificial intelligence and want to step into the world of language models, this course will prepare you to understand and use powerful tools like ChatGPT, Claude, Gemini, and LLaMA. We simplify technical concepts using culinary metaphors, ensuring you can transform from a recipe reader into an AI chef in no time.

You’ll explore how LLMs are built, trained, deployed, and evaluated with easy-to-understand analogies. We liken tokenization to chopping vegetables, training to large-scale baking, and prompt engineering to seasoning a dish correctly. Each module is designed to impart a new skill, from data preparation to fine-tuning and evaluation. By the end of the course, you’ll gain competency in model architecture, pre-training, transfer learning, prompt optimization, perplexity, and BLEU metrics for model evaluation, as well as deploying your LLM-based applications using tools like FastAPI, Gradio, Hugging Face Spaces, and LangChain.

Ideal for students without a technical background, educators, content creators, entrepreneurs, and professionals, you will explore the AI lifecycle step by step. Starting from the question of “What is a language model?” to deploying your own chatbot, summarizer, or recommendation app, you will learn how to use tools that operate without coding, conduct experiments with real prompts, improve existing models, assess outputs, and discover career paths like prompt engineer, AI product manager, or LLM architect. You will also learn how to communicate using natural language with LLMs and design smart and effective prompts while also addressing bias detection, hallucinations, feedback loops, and strategies for monitoring and improving your AI systems over time. By the end of the course, you’ll possess a solid foundation in LLM theory, a portfolio of hands-on AI projects, and the self-confidence to engage with the growing world of generative AI. So if you’re ready to shift from a recipe reader to an LLM chef, join this delightful AI journey filled with kitchen metaphors and practical examples!

What you will learn:

• Understand what Large Language Models (LLMs) are and how they work through real-world analogies.
• Identify the core components that power LLMs, such as training data, tokenization, and data quality.
• Explain how LLMs are trained using concepts like batches, epochs, and loss functions.

Course Content:

• Sections: 11
• Lectures: 61
• Duration: 5h 9m

Requirements:

• No programming experience required – this course is designed for complete beginners.
• A curiosity about AI and a desire to learn how language models work is enough to get started.

Who is it for?

• Beginners eager to enter the world of AI without being overwhelmed by technical jargon.
• Product managers and business leaders exploring AI-powered tools.
• Educators, content creators, and storytellers looking to leverage LLMs.
• Career switchers aiming to become LLM engineers, prompt designers, or AI specialists.
• Those who enjoy learning through real-life analogies (like food!), interactive projects, and hands-on creativity.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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