This course introduces you to cloud-based AI services, focusing on text generation, image processing, and audio analysis. You'll gain hands-on experience with leading platforms such as OpenAI and Google Gemini, learning to leverage these technologies for various AI apps.
EST TIME TO COMPLETE
Completion time may vary based on individual pacing.
1 min
CONTENT
3 modules
Learning path outcomes
Evaluate and implement cloud-based AI services for text, image, and audio processing tasks.
Compare and contrast different AI platforms and their capabilities in solving real-world problems.
Design and develop basic AI apps using cloud-based services and APIs.
Prerequisites
While the program is designed to accommodate developers with varying levels of experience, the following prerequisites are recommended:
Basic programming knowledge in any language
Familiarity with web development concepts and RESTful APIs
Understanding of basic AI and machine learning concepts (beneficial but not required)
Achievements
Earn a badge when you finish this learning path!
Introduction to Cloud-based AI
Learning path content
1
Text Generation with OpenAI
Nov 14 2024 · Module (1 hr, 22 mins)
This module focuses on a basic text-generation app using OpenAI’s GPT-4 and the Chat Completions API.
You’ll learn about API integration, model selection, and fundamental concepts in working with large language models.
Text Generation with Google Gemini
Nov 14 2024 · Module (2 hrs, 1 min)
Explore text generation using Google’s Gemini service.
Learn about Google’s AI ecosystem and gain experience
in implementing Gemini’s text generation capabilities.
Multimodal Integration with OpenAI
Nov 14 2024 · Module (1 hr, 37 mins)
This module extends students’ knowledge to multimodal AI apps, incorporating image and audio processing using OpenAI’s services.
Students will learn to analyze images, generate and edit images, and work with speech recognition and synthesis.
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