Explore machine learning APIs for image analysis, text processing, and speech recognition in Node.js. Learn to integrate Google Cloud services for powerful AI capabilities in your applications.
- Introduction to Machine Learning and Big Data
Overview of machine learning concepts
Introduction to big data
Applications of AI and big data in contemporary software
- Setting Up the Environment
Installing and configuring Node.js
Overview of Google Cloud platform
Setting up Google Cloud environment and SDK
- Understanding Machine Learning APIs
Introduction to Google Cloud AI APIs
Accessing and using APIs with Node.js
Authentication and API key management
- Image Analysis with Node.js and Google Cloud
Using the Vision API for image analysis
Building a Node.js application for image recognition
Advanced features of the Vision API
- Text Processing with Machine Learning
Using Natural Language API for entity and sentiment analysis
Implementing text processing in Node.js
Advanced NLP features and customization
- Speech Recognition and Processing
Introduction to Speech-to-Text API
Building a Node.js application for speech recognition
Enhancing applications with text-to-speech capabilities
- Integrating AI Services into Web Applications
Best practices for integrating AI services in Node.js applications
Handling data and performance considerations
Deploying AI-enabled applications on Google Cloud
- Working with Big Data in Google Cloud
Introduction to BigQuery and data warehousing
Using Node.js to query and analyze large datasets
Integrating BigQuery into applications for real-time analytics
- Security and Ethical Considerations
Secure access and data management
Privacy, fairness, and bias in AI applications
- Final Project
Designing a comprehensive AI-enabled application
Integrating multiple Google Cloud products and services
Presentation and peer review of projects
- Course Review and Future Directions
Summary of key concepts
Emerging trends in AI and big data
Resources for further learning and exploration