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Artificial intelligence or AI is an thrilling subject to dabble with—whether or not or not you need to make a profession as an AI developer or an AI researcher.
To assist you discover, we’ve put collectively this checklist of programs and studying paths from Google. From the constructing blocks of AI to constructing and deploying AI fashions, these programs will assist you be taught all of it.
So let’s go over them. Some familiarity with machine studying works will probably be useful to get essentially the most out of those programs.
The course Introduction to AI and Machine Learning on Google Cloud will assist you perceive how to go from knowledge to AI options. So you’ll find out how to construct machine studying fashions, design machine studying pipelines, and construct a totally useful AI system whereas exploring Google Cloud choices.
This course takes you thru the next:
AI foundations
AI growth choices
AI growth workflow
Link: Introduction to AI and Machine Learning on Google Cloud
The Launching into Machine Learning course will assist you construct the foundations in machine studying that you simply’ll want going ahead.
The course begins out by exploring fundamentals corresponding to exploratory knowledge evaluation and utilizing it successfully to enhance knowledge high quality. It then covers constructing and deploying purposes utilizing Vertex AI AutoML. Further, you’ll additionally find out how to use BigQuery ML.
This course has the next modules:
Get to Know Your Data: Improve Data by Exploratory Data Analysis
Machine Learning in Practice
Train AutoML Models Using Vertex AI
BigQuery Machine Learning: Develop ML Models for Your Data Lives
Optimization
Generalization and Sampling
Link: Launching into Machine Learning
TensorFlow is likely one of the hottest growth frameworks for creating deep studying and AI purposes. The course TensorFlow on Google Cloud dives deep into constructing purposes with TensorFlow.
From constructing enter knowledge processing pipelines to coaching neural networks at scale, this course teaches you all about utilizing TensorFlow. The following are the modules on this course:
Introduction to the TensorFlow Ecosystem
Design and Build an Input Data Pipeline
Building Neural Networks with TensorFlow and the Keras API
Training at Scale with Vertex AI
Link: TensorFlow on Google Cloud
Perform Foundational Data, ML, and AI Tasks in Google Cloud is a studying path to find out how to carry out the completely different duties in a typical machine studying venture.
Meaning you’ll get to experiment with knowledge preparation and knowledge processing duties. In addition, you’ll be taught to work with speech-to-text and video intelligence API to construct highly effective purposes.
Link: Perform Foundational Data, ML, and AI Tasks in Google Cloud
Generative AI has turn into tremendous in style just lately and thanks to continued advances, it’s nonetheless the discuss of the city. We see novel generative AI purposes making it to the market.
So whether or not you need to use generative AI fashions successfully or need to dive into how they work, the Generative AI Learning Path has received you lined. This studying path has following programs:
Introduction to Generative AI
Introduction to Large Language Models
Introduction to Responsible AI
Generative AI (*5*)
Responsible AI: Applying AI Principles with Google Cloud
Link: Introduction to Generative AI Learning Path
If you’re prepared to discover additional, you possibly can as effectively undergo the Generative AI for Developers Learning Path.
I hope you discovered this compilation of programs useful. These programs ought to assist you turn into proficient with the TensorFlow framework in addition to construct scalable AI options with Vertex AI.
Further, these programs are nice in that you simply get to apply and apply what you’ve realized as you progress by the course. So completely satisfied studying and constructing!
Bala Priya C is a developer and technical author from India. She likes working on the intersection of math, programming, knowledge science, and content material creation. Her areas of curiosity and experience embody DevOps, knowledge science, and pure language processing. She enjoys studying, writing, coding, and low! Currently, she’s engaged on studying and sharing her data with the developer neighborhood by authoring tutorials, how-to guides, opinion items, and extra. Bala additionally creates participating useful resource overviews and coding tutorials.
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