Multimodal Gen AI: Vision, Speech & Assistant Training
Learn practical AI skills in image-to-text, speech processing, and assistants using latest 2024 APIs. Master multimodal AI applications with hands-on labs.
Learn practical AI skills in image-to-text, speech processing, and assistants using latest 2024 APIs. Master multimodal AI applications with hands-on labs.
This comprehensive course offers practical training in cutting-edge multimodal generative AI applications. Recently updated for 2024, it covers essential skills in image-to-text (vision), text-to-speech, and speech-to-text technologies using the latest APIs. Students learn through hands-on labs and practical exercises, making it ideal for beginners interested in AI development. The curriculum includes working with vision capabilities, text-to-speech generation, Whisper API integration, and the new Assistant API. Each module combines theoretical understanding with practical implementation, ensuring students gain real-world applicable skills. The course emphasizes hands-on experience with current AI tools and technologies, preparing learners for practical applications in AI development.
Instructors:
English
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What you'll learn
Learn to analyze and interpret images using AI vision capabilities
Master text-to-speech generation with different voice options
Implement speech-to-text conversion using the Whisper API
Create and customize AI assistants using the Assistant API
Develop practical skills in multimodal AI application development
Gain hands-on experience with the latest 2024 AI technologies
Skills you'll gain
This course includes:
145 Minutes PreRecorded video
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This newly updated course provides comprehensive training in multimodal generative AI applications, focusing on technologies released in 2024. The curriculum is structured around four key areas: vision capabilities for image-to-text conversion, text-to-speech synthesis, speech-to-text processing using Whisper, and implementation of the Assistant API. Each module combines theoretical foundations with practical labs and exercises, ensuring students gain hands-on experience with current AI tools and technologies. The course replaces the previous "Coding with ChatGPT" content, offering fresh material on cutting-edge AI applications and their practical implementations.
Image to text
Module 1 · 3 Hours to complete
Text to Speech
Module 2 · 3 Hours to complete
Speech to Text
Module 3 · 3 Hours to complete
Assistants
Module 4 · 3 Hours to complete
Fee Structure
Instructor
seasoned expert in the field of software development and data science.
Kevin Noelsaint is a seasoned expert in the field of software development and data science, known for his engaging teaching style and deep industry knowledge.
Testimonials
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Frequently asked questions
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