AI Agent Development Full Stack

AI Agent Development Full Stack

16 Weeks
8 Projects
Intermediate to Advanced
$1,299

Course Overview

Learn to build intelligent AI agents using modern frameworks and tools

The AI Agent Development Full Stack course is designed for developers who want to build intelligent AI agents that can interact with users, perform tasks, and integrate with various systems. This comprehensive course covers both frontend and backend development for AI applications.

You'll learn how to design, develop, and deploy AI agents that can understand natural language, make decisions, and take actions. From building conversational interfaces to integrating with external APIs, this course will equip you with the skills needed to create sophisticated AI applications.

By the end of this course, you'll have built several real-world AI agent projects that you can add to your portfolio, demonstrating your ability to create intelligent, interactive applications.

What You'll Learn

Key topics covered in this course

Introduction to AI Agents
Natural Language Processing
Machine Learning Fundamentals
Frontend Development for AI Applications
Backend Systems for AI
Deployment and Scaling
Real-world AI Agent Projects

Course Content & Information

Detailed curriculum and request more information

AI Agent Development Full Stack

Module 1: Introduction to AI Agents

  • What are AI Agents?
  • Types of AI Agents
  • Applications and Use Cases
  • Ethical Considerations
  • Project: Simple Rule-based Agent

Module 2: Natural Language Processing

  • Text Processing and Tokenization
  • Named Entity Recognition
  • Sentiment Analysis
  • Intent Recognition
  • Project: Building a Sentiment Analysis Tool

Module 3: Machine Learning for AI Agents

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Neural Networks
  • Project: Training a Simple Classifier

Module 4: Frontend Development for AI Applications

  • UI/UX for AI Interfaces
  • Conversational UI Design
  • React for AI Applications
  • Real-time Updates and Notifications
  • Project: Building a Chat Interface

Module 5: Backend Systems for AI

  • API Design for AI Services
  • Node.js and Express for AI Backends
  • Database Design for AI Applications
  • Authentication and Security
  • Project: Building an AI API

Module 6: Integration with External Services

  • Working with Third-party APIs
  • Integrating with Cloud AI Services
  • Webhooks and Callbacks
  • Error Handling and Fallbacks
  • Project: Multi-service Integration

Module 7: Deployment and Scaling

  • Containerization with Docker
  • Cloud Deployment Options
  • Scaling AI Applications
  • Monitoring and Logging
  • Project: Deploying an AI Agent to the Cloud

Module 8: Capstone Project

  • Project Planning and Requirements
  • Architecture and Design
  • Implementation
  • Testing and Refinement
  • Final Project: Full-stack AI Agent Application
AI Agent Projects

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