Think Like an AI Engineer: Modern AI

Course Overview

This course provides a concise, practical introduction to how large language models (LLMs) work and how to effectively use AI in professional settings. Through 10 focused episodes under 60 minutes total, learners will build a mental model of AI, learn professional prompting techniques, select appropriate AI models, and create AI workflows without coding. The course also covers AI agents, evaluation methods to measure AI quality, and strategies to stay current with AI developments.

Key Takeaways

• Understand how large language models generate text and why context is critical.
• Use a five-part structure for professional AI prompting: role, task, context, constraints, and examples.
• Select the right AI model balancing cost, speed, and quality for different tasks.
• Build AI workflows using no-code tools like n8n, Zapier, and Make.
• Recognize the capabilities and limitations of AI agents.
• Write evaluations to objectively measure AI performance.
• Apply AI to coding, document handling, images, and personal data without engineering background.
• Maintain up-to-date knowledge of AI advancements efficiently.

Prerequisites

No coding or technical background is required. Familiarity with ChatGPT or Claude is sufficient. Curiosity and less than 60 minutes to invest are all that is needed.

Target Learners

• Aspiring AI engineers seeking a foundational understanding of modern AI.
• Product managers and operators needing to engage confidently in AI-related technical discussions.
• Builders, founders, and professionals aiming to practically build with AI.
• Anyone who has used AI tutorials but lacks a clear understanding or practical skills.