Google offers six free AI courses with certificates. These courses are designed to teach students the basics of AI, as well as more advanced concepts such as machine learning and deep learning.
After completing a Google AI course, students will receive a certificate that they can use to demonstrate their skills to potential employers. Google AI certificates are highly respected in the industry and can help students land jobs in AI and related fields.
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Benefits of taking Free AI Courses
There are many benefits to taking Google’s AI courses. First, the courses are free and open to everyone. Second, the courses are taught by experienced AI experts. Third, the courses are designed to be practical and hands-on.
After completing a Google AI course, students will receive a certificate that they can use to demonstrate their skills to potential employers. Google AI certificates are highly respected in the industry and can help students land jobs in AI and related fields.
Overview of the 6 free AI courses offered by Google
Here is an overview of the six free AI courses offered by Google:
1. How Google Does Machine Learning
This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate’s use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
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2. Machine Learning Operations (MLOps): Getting Started
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best-performing models.
This course is primarily intended for the following participants: Data Scientists looking to quickly go from machine learning prototype to production to deliver business impact. Software Engineers looking to develop Machine Learning Engineering skills. ML Engineers who want to adopt Google Cloud for their ML production projects.
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3. Get Started with TensorFlow on Google Cloud
Earn a skill badge by completing the Get Started with TensorFlow on Google Cloud quest where you will learn how to use TensorFlow and Vertex AI. This quest will teach you how to build simple machine-learning models with TensorFlow while simultaneously walking you through how to leverage Vertex AI to build and deploy your models. You will primarily interact with Vertex AI Workbench user-managed notebooks.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
Course Link Click Here
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4. Language, Speech, Text, & Translation with Google Cloud APIs
In this quest, you will use a collection of APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.
Course Link Click Here
5. Build and Deploy Machine Learning Solutions on Vertex AI
Earn a skill badge by completing the Build and Deploy Machine Learning Solutions with Vertex AI quest, where you will learn how to use Cloud’s unified Vertex AI platform and its AutoML and custom training services to train, evaluate, tune, explain, and deploy machine learning solutions.
This skill badge quest is for professional Data Scientists and Machine Learning Engineers. The datasets and labs are built around high business impact enterprise machine learning use cases; these include retail customer lifetime value prediction, mobile game churn prediction, visual car part defection identification, and fine-tuning BERT for review sentiment classification. Learners who complete this skill badge will gain hands-on experience with Vertex AI for new and existing ML workloads and be able to leverage AutoML, custom training, and new MLOps services to significantly enhance development productivity and accelerate time to value.
Course Link Click Here
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6. Machine learning and artificial intelligence
Did you know that the adoption of machine learning results in 2x more data-driven decisions, 5x faster decision-making, and 3x faster execution?1
Learn how to implement the latest machine learning and artificial intelligence technology by exploring training on Vertex AI, BigQuery, TensorFlow, Cloud Vision, Natural Language API, and more. These courses can help you prepare for job roles like Data Scientist, Machine Learning Engineer, or Contact Center engineer.
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