While compiling the list of Free Vertex AI Courses, our team followed a particular criterion and considered multiple factors. These were course content comprehensiveness, the instructor’s ability to deliver content efficiently, positive learner outcomes, and the availability of certificates. Following such an approach made sure that our recommendations were authoritative.
Key Takeaways
- Access to Best Free Vertex AI courses.
- An opportunity to learn from industry experts.
- A chance to understand the fundamentals of Vertex AI.
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness. Best + Free Vertex AI Courses & Classes….
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- via Google Cloud
- 1.5 Hour of effort required!
- Course Level: Intermediate
In this intermediate-level course, you will understand how to train a TensorFlow model locally in a hosted Vertex Notebook. The instructor will explain how to create a managed Tabular dataset artifact for experiment tracking.
- The best thing about this course is its focus on explaining how to containerize your training code with Cloud Build. You will learn to push it to Google Cloud Artifact Registry.
- This course is for those who wish to learn to run a Vertex AI custom training job with their custom model container and use Vertex Tensor Board to visualize model performance.
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- via Google Cloud
- 01 Hours of effort required!
- Course Level: Introductory
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Good
★★★★☆ | Good
★★★★☆ |
In this beginner-level course, the instructor will explain what Vertex AI Studio does.
- The reason why we chose this course is its focus on explaining how to use Gemini multimodal with Vertex AI Studio. You will learn to design prompt by applying configurations and best practices.
- This course is for those who wish to understand how to tune models by exploring different methods and processes.
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This course is good as it helped me get a general idea of what Generative AI is. It also helped me understand many different terms that were new to me. I was able to understand the difference between ML and Generative AI thanks to the instructor. All in all, this is a very beneficial and engaging course to enroll in. (Priyanka S)
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- via Udemy
- 8.5 Hours of effort required
- Course Type: Introductory to Advanced
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Good
★★★★☆ | Good
★★★★☆ | Fair
★★★☆☆ | Fair
★★★☆☆ |
In this engaging course, you will learn to apply Google Cloud Vertex AI Machine Learning products for your ML application training and prediction.
- The reason why we chose this course is its focus on explaining how to throw your data for training on Auto ML – Machine Learning Algorithm.
- This course is for those who wish to understand how to use Google Cloud Infrastructure for scalability on your Machine Learning Training and Prediction.
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I found this course to be extremely engaging. The entire content is explained in a clear manner. Being a data scientist who has limited knowledge of GCP, this course is a perfect way to fill in all the gaps. After completing this short course, I am now able to perform all the advanced tasks in GCP Vertex AI. The instructor is great and explains everything in a clear and structured manner. From set up to execution, everything is great. (Mayia S)
Continue with more Free Vertex AI Courses…
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- via Coursera Project Network
- 01 Hour of effort required.
- Course Level: Intermediate
Do you want to understand how to summarize customer support calls? In this course, you will learn to do that through Generative AI.
- The best thing about this course is its focus on explaining how to classify customer support calls.
- This course is for those who wish to learn to build a simple interactive customer service chatbot that can provide information to customers upon request.
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- via Google Cloud
- 3.5 Hours of effort required
- Course Level: Intermediate
In this course, you will get an introduction to building forecasting solutions with Google Cloud.
- The reason why we chose this course is its focus on explaining all about data preparation, model development, and deployment with Vertex AI.
- This course is for those who wish to learn all about sequence models and time series foundations.
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- via Google Cloud
- 10 Hour of effort required
- Course Level: Beginner
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Good
★★★★☆ | Good
★★★★☆ |
In this specialization, you will learn to implement, configure, and understand how to use Vertex AI Search for retail.
- The best thing about this specialization is its focus on explaining how to optimize your retail search capabilities.
- This specialization is for those who wish to gain skills in optimizing their retail search capabilities with Vertex AI Search for Retail.
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In this specialization, one can learn many new things about the Vertex AI. After completing the specialization, I was equipped with things that I was unaware. The courses are well-structured and equally engaging. Thanks to the instructors and Coursera for providing such a great specialization to learn and educate ourself for the future. (IS)
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- via Google Cloud
- 01 Hour of effort required
- Course Level: Intermediate
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Good
★★★★☆ | Good
★★★★☆ | Fair
★★★☆☆ | Fair
★★★☆☆ |
In this course, you will be equipped with all the important tools, techniques, and best practices for evaluating both generative and predictive AI models. Here you will develop a good understanding of different evaluation metrics, methodologies, and their application across multiple model types and tasks.
- The reason why we chose this course is its focus on explaining the unique challenges posed by generative AI models. You will learn strategies for tackling them efficiently.
- This course is for those who wish to learn to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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