Premium Course
AI Coding Agent Development
Build Production-Ready AI Coding Assistants
10 hours
12,500 students
4.8/5.0
Intermediate
Course Overview
Learn to create sophisticated AI coding agents from scratch. This comprehensive course covers everything from basic concepts to production deployment.
What You'll Learn
Build a real AI coding agent from scratch
Learn the core concepts behind AI coding assistants
Deploy your agent with best practices for scalability
Understand prompt engineering and API integration
Implement advanced features like context awareness
Test and optimize your AI agent for production
Course Curriculum
1
Introduction to AI Coding Agents
Understanding the landscape and core concepts behind AI coding assistants.
30 min
4 lessons
What are AI coding agents?
Types of coding assistants
Market overview and trends
Key technologies and frameworks
Resources included:
Course slidesReading materialsCode examples
2
Setting Up Your Development Environment
Tools, frameworks, and initial project setup for building AI coding agents.
45 min
6 lessons
Development tools and IDEs
API keys and authentication
Project structure and organization
Version control with Git
Environment configuration
Testing setup
Resources included:
Setup guideConfiguration filesTroubleshooting tips
3
Building Your First Agent
Create a basic coding assistant with core functionality and API integration.
2 hours
8 lessons
API integration basics
Prompt engineering fundamentals
Response handling and parsing
Error management and logging
Basic conversation flow
Code generation capabilities
Testing your agent
Debugging techniques
Resources included:
Starter codeAPI documentationExample prompts
4
Advanced Features and Capabilities
Add sophisticated capabilities to make your agent production-ready.
3 hours
12 lessons
Context awareness and memory
Code analysis and understanding
Multi-language support
Custom commands and functions
Integration with development tools
Real-time collaboration features
Performance optimization
Security considerations
User authentication
Rate limiting and quotas
Monitoring and analytics
A/B testing implementation
Resources included:
Advanced code examplesIntegration guidesBest practices
5
Testing and Quality Assurance
Ensure quality and performance through comprehensive testing strategies.
1.5 hours
6 lessons
Unit testing for AI agents
Integration testing
Performance benchmarking
User acceptance testing
Continuous integration
Quality metrics and KPIs
Resources included:
Testing frameworksSample test casesCI/CD templates
6
Deployment and Scaling
Launch your agent and handle growth with proper deployment strategies.
2 hours
8 lessons
Cloud deployment options
Containerization with Docker
Load balancing and scaling
Monitoring and alerting
Backup and disaster recovery
Cost optimization
Maintenance and updates
User feedback integration
Resources included:
Deployment scriptsMonitoring dashboardsScaling guides
Course Details
Duration10 hours
LevelIntermediate
Students12,500
Rating
4.8
UpdatedDecember 2024
Instructor
DSC
Dr. Sarah Chen
AI Research Scientist
Prerequisites
- Basic programming knowledge (Python, JavaScript, or similar)
- Understanding of APIs and web development
- Familiarity with Git and version control
- Access to a computer with internet connection