Easily Add Artificial Intelligence To Your Apps Using Machine Learning

Overview

Discover how to integrate AI into your apps using MLaaS, featuring live coding demonstrations of facial recognition and text sentiment analysis implementation.

Syllabus

• Introduction to Machine Learning as a Service (MLaaS)
Overview of MLaaS providers (AWS, Google Cloud, Azure)
Advantages of using MLaaS
• Setting Up Your Development Environment
Required tools and software
Setting up accounts with MLaaS providers
• Facial Recognition Implementation
Understanding facial recognition technology
Live coding session: Implementing facial recognition using AWS Rekognition
Best practices and integrating with apps
• Text Sentiment Analysis Implementation
Introduction to sentiment analysis
Live coding session: Using Google Cloud Natural Language API for sentiment analysis
Analyzing results and fine-tuning
• Security and Privacy Considerations
Data handling and storage
Best practices for maintaining user privacy
• Deploying AI-powered Features in Apps
Integrating MLaaS with mobile apps
Testing and optimizing AI features for performance
• Final Project: Building an AI-enhanced App
Project requirements and objectives
Step-by-step walkthrough and milestones
Presentation of projects and feedback
• Future Trends in AI and MLaaS
Exploring upcoming technologies and their impact on app development
Staying updated with the latest AI advancements
• Course Summary and Q&A Session

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Subjects

Conference Talks