In a bid to bridge the knowledge gap in the rapidly evolving field of artificial intelligence (AI), Google has launched a series of free generative AI courses. The courses aim to upskill individuals for future jobs, particularly in the realm of AI and machine learning.
Google’s “Generative AI Learning Path”
Google’s new generative AI learning path includes different courses, designed to provide a comprehensive understanding of AI and machine learning. As detailed in a blog post from the Google Cloud team, the courses focus on the differences between AI and machine learning, an introduction to Google’s machine learning training platform Vertex AI, and the ethics around responsible AI development.
The courses are intended to serve as a starting point for users to understand generative AI, its place in the broader AI ecosystem, and to provide resources for further learning. This initiative is seen as a practical move, considering the US Bureau of Labor Statistics’ prediction of a 36% increase in the growth rate for data scientist roles over the next decade.
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The following courses are currently available in Google’s “Generative AI learning path”:
- [Course] Introduction to Generative AI (1 day)
- [Course] Introduction to Large Language Models (1 day)
- [Course] Attention Mechanism (1 day)
- [Course] Transformer Models and BERT Model (1 day)
- [Course] Introduction to Image Generation (1 day)
- [Course] Create Image Captioning Models (1 day)
- [Course] Encoder-Decoder Architecture (1 day)
Additional AI/ML training – varying learning credits required to complete on Google Cloud Skills Boost
Introductory level
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[Course with completion badge] How Google Does Machine Learning (1 day)
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[Course with completion badge] MLOps: Getting Started (1 day)
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[Skill badge] Get started with TensorFlow on Google Cloud (8 hours)
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[Skill badge] Perform foundational ML, AI and data tasks in Google Cloud (7 hours)
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[Course with completion badge] Language, Speech, Text, and Translation with Google Cloud APIs (5 hours)
Intermediate/Multi-level
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[Learning Path] Machine Learning Engineer (Collection of 15 video courses and labs)
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[Skill badge] Build and Deploy Machine Learning Solutions on Vertex AI (1 day)
Advanced
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[Training + certification exam] Google Cloud Professional ML Engineer Certification (varied time)
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[Skill badge] Machine Learning with TensorFlow in Vertex AI (90 minutes)
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[Course with completion badge] Natural Language Processing in Google Cloud (1 day)
