Build AI apps like Google & Amazon
45sThe promise of building real AI features from scratch taps into the trending desire to create with AI, making it highly clickable.
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This video is a promotional overview of an AI course for developers, outlining the curriculum which includes building AI-powered features such as chatbots and feedback analysis tools. The course covers foundational concepts like language models, tokens, and prompt engineering, and uses modern tools like Bun, Tailwind, Prisma, and Ollama.
Chapters
[00:01]
Course Introduction
The video introduces a course on building AI-powered features, similar to those in apps from Google and Amazon.
[00:14]
Foundational Concepts
The course starts with building a solid foundation in language models, tokens, context windows, model selection, settings, and prompt engineering.
[00:26]
Project 1: Theme Park Chatbot
The first project is a chatbot that answers questions about an imaginary theme park, helping visitors find information faster.
[00:40]
Project 2: Feedback Analysis Tool
The second project is a tool that analyzes customer feedback and provides actionable insights, enabling quicker decision-making.
[00:40]
Project 3: Open-Source Integrations
The course wraps up with powerful open-source integrations that can be run anywhere.
[00:54]
Tools and Best Practices
The course teaches clean architecture principles, best practices, and uses modern tools like Bun, Tailwind, Shadcn, Prisma, and Ollama.
The video is a brief promotional pitch for an AI development course, highlighting its curriculum and tools. It encourages viewers to watch the full video on YouTube for the complete learning experience.
Mentioned in this Video
💡 Key Takeaways
💡
Building Real AI Features
Emphasizes practical application over theory, a key selling point for developers.
00:01
📊
Foundational AI Concepts
Lists core topics (tokens, context windows, prompt engineering) that are essential for AI development.
00:14
🔧
Theme Park Chatbot Project
Provides a concrete example of a beginner-friendly AI project.
00:26
💡
Feedback Analysis Tool
Shows a practical business use case for AI, appealing to developers building real-world apps.
00:40
📊
Modern Tool Stack
Mentions popular tools (Bun, Tailwind, Prisma, Ollama) that developers are interested in.
00:54Full Transcript
[00:01] AI is everywhere, but have you actually built something with it? In this course, you will learn how to build real AI powered features like the ones you see in apps from Google, Amazon, and beyond. We'll start by building a solid
[00:14] foundation, understanding language models, tokens, context windows, choosing the right models, model settings, and prompt engineering. Then we'll build projects starting with a chatbot that can answer questions about
[00:26] an imaginary theme park, helping visitors find what they need faster. Next, we'll create a tool that analyzes customer feedback and delivers clear, actionable insights so users can make shorter decisions in seconds. And
[00:40] finally, we'll wrap up with powerful open-source integrations you can run anywhere. Along the way, you will learn clean architecture principles, follow best practices, and work with modern tools like Bun, Tailwind, Shatian,
[00:54] Prisma, and Olama. By the end, you will have the skills and confidence to build AI powered apps people actually want to use. Watch the full video on my YouTube use. Watch the full video on my YouTube channel.
