Google Cloud Certificates

Upskilling & Reskilling

Unlock your future in cloud computing through our Google Cloud Career Launchpad Program, offered in partnership with Google Cloud.

TAG-Ed partners with Google Cloud’s Career Launchpad program to provide participants access to hands-on experience with Google Cloud tools, and gain the skills employers are looking for.

 

This cohort based opportunity provides participants with access to a Google Cloud Certificate of their choice and a complimentary exam voucher upon completion of the course.

 

Google Cloud Certificates offer comprehensive training in critical areas like AI, cybersecurity, and data analytics.

 

✓ Gain In Demand Skills                           ✓ Earn Google Cloud Certificates & Credentials

✓ Practice with Hands-On Labs               ✓ Prepare for a cloud-first workplace

To enable new-to-industry learners with in-demand cloud skills in preparation for career advancement, the Google Career Launchpad program offers the following tracks at no cost:

 

  • Google Cloud Engineering Certificate: This track is ideal for learners aspiring to upskill or launch careers in engineering and management roles related to cloud infrastructure, cloud-native application development, and data engineering.
  • Google Cloud Data Analytics Certificate: This certificate is ideal for learners seeking an entry-level role in cloud data analytics. You’ll learn to prepare, process, and analyze data in the cloud, gaining the skills needed to provide data-driven recommendations and support key business decisions.
  • Google Cloud Cybersecurity Certificate: This certificate is for aspiring cloud security analysts seeking entry-level roles. Ideal for those who want to protect organizations from cyber threats in the cloud. Learn to identify vulnerabilities, respond to incidents, and secure cloud infrastructure.
  • Google Cloud Computing Foundations Certificate: This certificate is for cloud beginners and career changers. Learn cloud basics, big data, and machine learning. No prior experience needed. Get the skills to start your cloud journey.

 

 

Explore Google Cloud Certificates & Credentials

 

The Google Cloud Career Launchpad Program is designed to prepare learners for entry-level roles in cloud technology within just 15 weeks.

With a self-paced format and guided learning, you can complete the program on your own schedule while remaining engaged with a supportive cohort. While there are no mandatory prerequisites, having familiarity with the recommended “nice to haves” for each track will help you succeed. Explore the available learning tracks, gain hands-on experience, and develop the skills needed to kickstart your cloud career.

 

This certificate builds expertise in cloud infrastructure and prepares learners for roles such as Cloud Engineer, Solutions Architect, and DevOps Engineer. It also serves as preparation for the Associate Cloud Engineer certification.

 

Nice to Have:

  • Familiarity with cloud infrastructure concepts, operating systems, networking, databases, programming, and Linux.

 

Jobs in the Field:

  • Cloud Engineer
  • Solutions Architect
  • DevOps Engineer
  • Site Reliability Engineer

Skills Acquired:

  • Cloud infrastructure deployment and management
  • IP networking and security principles
  • Linux system administration
  • Cloud automation and DevOps practices
  • Database and storage solutions in the cloud

Duration: 80 Hours

Designed for aspiring cloud data analysts, this certificate provides hands-on training in structuring, storing, accessing, and visualizing data using cloud tools. The program includes a capstone project to help learners showcase their skills to potential employers.

 

Nice to Have:

  • Familiarity with basic data analytics concepts, SQL, and data visualization.

 

Jobs in the Field:

  • Cloud Data Analyst
  • Business Intelligence Analyst
  • Data Engineer
  • Cloud Database Administrator

Skills Acquired:

  • Data structuring and storage in the cloud
  • Cloud-based data visualization techniques
  • SQL for cloud databases
  • Data lifecycle management
  • Hands-on experience with Google Cloud data tools

Duration: 90 Hours

This certificate prepares learners for entry-level roles in cloud cybersecurity by building foundational knowledge of networks, security models, and threat mitigation strategies. Hands-on labs and a capstone project help learners apply their skills to real-world security challenges.

 

Nice to Have:

  • Familiarity with basic cybersecurity concepts, risk assessment, and security tools (supplemental content is provided for those without prior knowledge).

 

Jobs in the Field:

  • Cloud Security Analyst
  • Cybersecurity Engineer
  • Security Operations Center (SOC) Analyst
  • Cloud Security Consultant

Skills Acquired:

  • Network security fundamentals
  • Risk and threat assessment
  • Incident response and mitigation
  • Security tools and frameworks
  • Cloud security best practices

Duration: 90 Hours

Designed for beginners, this certificate covers essential cloud computing concepts such as cloud infrastructure, big data, and machine learning. It offers a foundational understanding of how cloud technologies are applied in contemporary business settings.

 

Nice to Have:

  • Basic IT knowledge
  • Familiarity with shell scripting and SQL
  • Interest in cloud computing and machine learning.

 

Jobs in the Field:

  • Cloud Support Associate
  • IT Support Specialist
  • Cloud Technician
  • Cloud Sales Engineer

Skills Acquired:

  • Fundamental cloud computing concepts
  • Basics of big data and machine learning
  • Google Cloud infrastructure overview
  • Introduction to cloud security and compliance
  • Understanding cloud-based storage and networking

Duration: 40 Hours

This course pathway utilizes engaging videos and interactive components to teach learners about the capabilities of generative AI and how they benefit organizations. Through a series of on-demand courses, learners will gain a broad overview of Gen AI and learn how to leverage Gen AI and Google Cloud to transform organizations. Learners will also gain practical experience by completing hands-on exercises using tools like Gemini Advanced, Notebook LM, and Google AI Studio.

This program is designed to help prepare students for the Generative AI Leader certification. Learners who complete the entire learning program are eligible for a 50% discount on the certification exam (administered by a third party).

Duration: ~ 8 hours

To further support your learning journey, you will also gain access to our Beginner: Introduction to Generative AI Learning Path. We suggest that you start with this introductory course before beginning the Generative AI Leader Learning Path. It will provide you with a foundational understanding of key concepts, including the basics of large language models and responsible AI principles.

Duration: ~ 8 hours

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