Course Overview: Building AI-Powered Features

Introduction

• Objective: Learn to build AI-powered features seen in apps from Google, Amazon, etc.
• Foundation: Language models, tokens, model selection, prompt engineering.
• Projects:
  • Chatbot for answering theme park questions.
  • Tool for analyzing customer feedback.
  • Open-source integrations and applications.
• Tools & Principles: Bun, Tailwind, Shatsen, Prisma, Olama; clean architecture.

Audience

• Targeted at those with basic front-end development skills, comfortable with JavaScript, TypeScript, and React basics.
• No prior AI experience required. Step-by-step guidance provided.

Course Structure

Section 1: Foundations

• Understand language models (e.g., GPT, Claude) and concepts like tokens and context windows.
• Learn about AI engineer roles vs. machine learning engineers.

Section 2: Project Setup

• Full stack project setup, ensuring backend and frontend separation.
• Tools: Bun for runtime, Express for back-end, React for front-end.
• Tutorial on managing environment, using VS Code.

Section 3: Chatbot Project

• Build a chatbot using clean architecture principles.
• Implement features step by step, ensuring the code's clarity and maintainability.
• Explore prompt engineering techniques for effective query responses.

Section 4: Advanced Prompt Engineering

• Handle context, output format control, examples, error management, reducing hallucinations.

Section 5: Product Review Summarizer

• Full stack project with database integration and advanced techniques.
• Use Prisma for database operations.
• Application of AI techniques beyond text summarization.

Section 6: Open-source Models & Integration

• Learn about running open-source AI models locally.
• Alternatives to commercial APIs for flexibility and independence.

Section 7: Development Environment & Setup

• Ensure the latest Node.js and use VS Code for efficient development.
• Prettier for code formatting, Husky for automated tasks during commits.

Special Mention

• First Two Hours Free on YouTube: Offers a preview of the course.
• Subscribers get continuous updates on new videos and tutorials.

Instructor: Mash Hamadani

• Over 20 years of software engineering experience.
• Creator of content that teaches coding to millions.

Tips for Success

• Engage actively: Code along, explore problems and solutions, and watch lessons in order.
• Consider full course enrollment for comprehensive learning.

Conclusion

• The course is designed to equip developers with skills to confidently build AI-powered applications that meet modern needs.