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artificial intelligence or ai is an exciting field to get into, whether or not you want to pursue a career as an ai developer or researcher.
To help you explore, we've put together this list of Google courses and learning paths. From the basic components of ai to creating and deploying ai models, these courses will help you learn it all.
So let's review them. It will be helpful to have some familiarity with machine learning work to get the most out of these courses.
The course Introduction to ai and machine learning on Google Cloud It will help you understand how to move from data to ai solutions. Therefore, you will learn how to create machine learning models, design machine learning pipelines, and create a fully functional ai system while exploring Google Cloud offerings.
This course takes you through the following:
Link: Introduction to ai and machine learning on Google Cloud
He Launch into machine learning The course will help you build the machine learning foundation you will need in the future.
The course begins by exploring fundamentals such as exploratory data analysis and using them effectively to improve data quality. It then covers building and deploying applications using Vertex ai AutoML. Additionally, you will also learn how to use BigQuery ML.
This course has the following modules:
- Know your data: Improve data through exploratory data analysis
- Machine learning in practice
- Train AutoML Models with Vertex ai
- BigQuery Machine Learning: Build machine learning models for your data
- Improvement
- Generalization and sampling
Link: Launch into machine learning
TensorFlow is one of the most popular development frameworks for developing ai and deep learning applications. The course TensorFlow in the Google Cloud goes deeper into building applications with TensorFlow.
From creating input data processing pipelines to training neural networks at scale, this course will teach you everything about using TensorFlow. The following are the modules of 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 in the Google Cloud
Perform critical data, machine learning, and artificial intelligence tasks on Google Cloud is a learning path to learn how to perform the different tasks in a typical machine learning project.
Which means you'll be able to experiment with data preparation and processing tasks. Additionally, you'll learn how to work with video intelligence and speech-to-text APIs to create powerful applications.
Link: Perform critical data, machine learning, and artificial intelligence tasks on Google Cloud
Generative ai has become very popular recently and thanks to continuous advancements, it is still the talk of the town. We see new generative ai applications coming to market.
So whether you want to use generative ai models effectively or want to delve deeper into how they work, the Generative ai learning path has you covered. This learning path has the following courses:
- Introduction to Generative ai
- Introduction to large language models
- Introduction to responsible ai
- Fundamentals of Generative ai
- Responsible ai: Applying ai principles with Google Cloud
Link: Introduction to the Generative ai Learning Path
If you're ready to explore further, you can also check out the Generative ai Learning Path for Developers.
I hope this compilation of courses has been useful to you. These courses should help you master the TensorFlow framework as well as build scalable ai solutions with Vertex ai.
Additionally, these courses are great because you can practice and apply what you have learned as you progress through the course. What happy learning and building!
twitter.com/balawc27″ rel=”noopener”>Bala Priya C. is a developer and technical writer from India. He enjoys working at the intersection of mathematics, programming, data science, and content creation. His areas of interest and expertise include DevOps, data science, and natural language processing. He likes to read, write, code and drink coffee! Currently, he is working to learn and share his knowledge with the developer community by creating tutorials, how-to guides, opinion pieces, and more. Bala also creates engaging resource descriptions and coding tutorials.
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