Machine Learning and Big Data Magic with Node.js and Google Cloud

Übersicht

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.

Lehrplan

• 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

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Fachgebiete

Conference Talks