Online Course – Certified Professional Internship in Digital Transformation Using AI/ML with Google Cloud

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding basic Google Cloud concepts
  • Understanding the impact of using AI and ML in the cloud
  • Identifying new business opportunities using data
  • Understanding the impact of data on business change

What you will learn in the course

Courses for which the course is suitable

  • Data analysts
  • Technology project managers
  • Digital marketing professionals
  • Technology entrepreneurs
  • Product Managers
  • Business development people
  • Market researchers
  • Information Systems Administrators
  • IT people
  • Software developers interested in expanding their knowledge in the field of AI and ML

Internship – 3-part course series

This course series begins with an introduction to Google Cloud fundamentals, with the goal of laying the foundation for using data, machine learning (ML), and artificial intelligence (AI) to upgrade business models.

Intended for:

  • Anyone interested in understanding the impact of using AI and ML in the cloud.
  • Anyone interested in seeing how data opens up opportunities and requires change in business.

No prior experience in ML, programming, or cloud technologies is required. The courses do not include hands-on technical training.

Details of the courses that make up the specialization

Digital Transformation with Google Cloud

Course 1

Duration: 2 hours

Rating: 4.8 (2,273 ratings)

What you’ll learn

  • Explain why and how the cloud is changing the face of business.
  • Explain general concepts in the cloud.
  • Discuss the benefits and risks of using Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Course 2: Innovate infrastructure and applications with Google Cloud

Duration: 1 hour

Rating: 4.7 (1,570 ratings)

What you’ll learn

  • Understand the role of modernization and cloud migration in the organization’s digital transformation process.
  • Check the options available for running compute workloads in the cloud.
  • Discover the benefits of using containers, serverless computing, and APIs in application modernization.
  • Learn about the business reasons to choose mixed or multi-cloud strategies, and how GKE Enterprise can support these strategies.

Course 3: Managing Machine Learning Projects with Google Cloud

Duration: 13 hours

Rating: 4.6 (3,652 ratings)

What you’ll learn

  • Explore common use cases of machine learning implemented by businesses.
  • Assess the feasibility of your machine learning use case and its potential to significantly impact your business.
  • Identify the requirements for building, training, and evaluating a machine learning model.
  • Define the data characteristics and biases that affect the quality of machine learning models and identify important considerations for managing machine learning projects.