AI Agents in Typescript/Javascript with Generative AI course Syllabus

Overview: This course provides a comprehensive introduction to building AI agents using JavaScript and TypeScript, combining core AI concepts with modern web development practices. Over approximately 15-20 hours, learners will progress through foundational computing principles to advanced AI system design and deployment, applying techniques like prompt engineering, neural networks, and natural language processing in practical labs and real-world projects.

Module 1: Foundations of Computing & Algorithms

Estimated time: 3 hours

• Introduction to key concepts in foundations of computing & algorithms
• Review of tools and frameworks commonly used in practice
• Discussion of best practices and industry standards
• Hands-on exercises applying foundations of computing & algorithms techniques

Module 2: Neural Networks & Deep Learning

Estimated time: 2.5 hours

• Introduction to key concepts in neural networks & deep learning
• Hands-on exercises applying neural networks & deep learning techniques
• Interactive lab: Building practical solutions
• Discussion of best practices and industry standards

Module 3: AI System Design & Architecture

Estimated time: 4 hours

• Introduction to key concepts in AI system design & architecture
• Case study analysis with real-world examples
• Guided project work with instructor feedback
• Interactive lab: Building practical solutions

Module 4: Natural Language Processing

Estimated time: 2 hours

• Hands-on exercises applying natural language processing techniques
• Review of tools and frameworks commonly used in practice
• Discussion of best practices and industry standards
• Guided project work with instructor feedback

Module 5: Computer Vision & Pattern Recognition

Estimated time: 1.5 hours

• Discussion of best practices and industry standards
• Guided project work with instructor feedback
• Assessment: Quiz and peer-reviewed assignment

Module 6: Deployment & Production Systems

Estimated time: 3.5 hours

• Hands-on exercises applying deployment & production systems techniques
• Review of tools and frameworks commonly used in practice
• Assessment: Quiz and peer-reviewed assignment

Prerequisites

• Proficiency in JavaScript
• Familiarity with TypeScript
• Basic understanding of web development and programming concepts

What You'll Be Able to Do After

• Implement prompt engineering techniques for large language models
• Understand core AI concepts including neural networks and deep learning
• Build and deploy AI-powered applications for real-world use cases
• Apply computational thinking to solve complex engineering problems
• Evaluate model performance using appropriate metrics and benchmarks