Google Free Course

 1) Google Digital Marketing Course:


Welcome to Your Digital Marketing Mastery Journey with Google: Unlock Success with Our Certificate Program!

Embark on a transformative learning experience with the Google Digital Marketing Certificate, designed to equip you with the skills and knowledge needed to thrive in the dynamic world of digital marketing. Whether you're a seasoned professional or just starting your career, our comprehensive program is your key to unlocking new opportunities and staying ahead in the competitive digital landscape.


Why Choose the Google Digital Marketing Certificate?

  1. Industry-Recognized Curriculum: Developed by Google experts, our curriculum covers the latest trends, tools, and strategies in digital marketing. Gain practical insights and hands-on experience that directly apply to real-world scenarios.
  2. Learn at Your Own Pace: Life is busy, and we get it. Our flexible online platform allows you to learn at your own pace, fitting your studies seamlessly into your schedule. Access the course content anytime, anywhere.
  3. Hands-On Projects: Apply your knowledge through hands-on projects that simulate real marketing challenges. Gain practical experience working with tools like Google Ads, Google Analytics, and more.
  4. Google's Seal of Approval: This certificate is not just a piece of paper; it's a badge of honor. Showcase your achievement on your resume and LinkedIn profile, and let the world know you're certified by the digital giant itself.
  5. Industry Insights and Best Practices: Stay ahead of the curve with insider insights and best practices straight from Google. Our course materials are constantly updated to reflect the latest trends and innovations in digital marketing.


What You'll Learn:

  • Foundations of Digital Marketing: Master the fundamentals, from understanding the digital marketing landscape to creating effective online strategies.
  • Search Engine Marketing (SEM): Dive into the world of paid advertising with Google Ads. Learn to create and optimize campaigns that drive results.
  • Display Advertising: Harness the power of visual storytelling. Discover how to create compelling display ads that captivate your audience.
  • Analytics: Understand and interpret data with Google Analytics. Learn to measure, analyse, and optimize your campaigns for maximum impact.
  • Social Media Marketing: Explore the ins and outs of social media platforms. Develop strategies to engage and grow your audience.

Your Journey Begins Here: Enroll Today!

Are you ready to elevate your career and become a digital marketing maestro? Enroll in the Google Digital Marketing Certificate program today and join a global community of learners dedicated to mastering the art and science of digital marketing. Your success story starts with Google. Let's create it together!

2) Google Offers 6 Free AI Courses With Certificates in 2023



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.

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.

Course Link: Click Here

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.

Course Link: Click Here

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

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

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.

Course Link: Click Here


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