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Starts 8 June 2025 15:55

Ends 8 June 2025

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Building an AI Voice Assistant with Python - Frontend and Backend Tutorial

Master building an advanced AI voice assistant with Python, integrating frontend and backend components, database connectivity, and custom tools for real-world applications and phone system integration.
Tech with Tim via YouTube

Tech with Tim

2544 Courses


1 hour 49 minutes

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Overview

Master building an advanced AI voice assistant with Python, integrating frontend and backend components, database connectivity, and custom tools for real-world applications and phone system integration.

Syllabus

  • Introduction to AI Voice Assistants
  • Overview of AI and Voice Assistants
    Use Cases and Applications
    Course Structure and Objectives
  • Setting Up the Development Environment
  • Installing Python and Required Libraries
    IDE and Tools Overview
    Basic Voice Assistant Framework Setup
  • Fundamentals of Speech Recognition
  • Introduction to Speech Recognition Technologies
    Using Python Libraries for Speech Recognition
    Capturing and Processing Audio Input
  • Natural Language Processing (NLP) Basics
  • Understanding NLP Concepts and Tools
    Implementing NLP with Python Libraries
    Text Processing and Intent Recognition
  • Designing the Backend Logic
  • Creating the Intent-Handling Engine
    Response Generation Techniques
    Error Handling and Debugging
  • Database Connectivity and Management
  • Database Concepts for Voice Assistants
    Connecting to and Managing a Database with Python
    Storing and Retrieving User Data
  • Frontend Integration for Voice Assistants
  • Designing User Interface (UI) for Voice Interaction
    Integrating Voice Commands with UI Elements
    Testing User Interactions
  • Advanced Features and Custom Tools
  • Implementing Machine Learning for Enhanced Functionality
    Creating Custom Commands and Tools
    Voice Synthesis and Enhancements
  • Phone System Integration
  • Introduction to Telephony APIs
    Implementing Phone Call Features
    Real-World Deployment Scenarios
  • Testing and Deployment
  • Conducting Unit and Integration Tests
    Optimizing Performance and Scalability
    Deploying an AI Voice Assistant in Production
  • Conclusion and Future Directions
  • Review of Key Learnings and Skills
    Exploring Future Trends in AI and Voice Technologies
    Final Project and Assessment
  • Additional Resources and Further Learning
  • Suggested Readings and Online Resources
    Building a Community and Networking
    Opportunities for Advanced Studies in AI

Subjects

Programming