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.
Who This Course is For
- 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
Your Instructor
Jet Drag Academy: School of AI
AI Academy
4.5 Instructor Rating
5,477 Reviews
178,474 Students
76 Courses
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