While millions use AI chatbots daily, few understand the mechanics that drive them. This course builds a foundational understanding of how large language models actually work, developing the practical intuition that will make you a more effective AI user and builder.

You'll explore the architecture of neural networks and transformers, understand why LLMs sometimes fail at seemingly simple tasks, and learn strategies to mitigate hallucinations and other limitations. Through hands-on work with the OpenAI API, you'll transition from chatting with AI to programmatically integrating it into applications.

You'll learn how to achieve consistently better results through context engineering and effective prompt engineering techniques, including chain-of-thought reasoning and self-reflection. You'll also understand the evolution from base models to reasoning models, and build your first AI chatbot with streaming responses, memory, and personalized system prompts.

By the end of the course, you'll have the technical foundation and practical skills to build reliable AI applications.

 

How It Works

Course Length
2 weeks

Effort
8 to 10 hours of study per week

Format
100% online, instructor-led
  • Software engineers and developers
  • Data scientists and analysts
  • Machine learning engineers
  • AI and NLP Practitioners
  • Technical product managers
  • CTO and tech executives
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