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