What you will learn in Digital Transformation Using AI/ML with Google Cloud Specialization Course
- Understand how cloud technology revolutionizes business operations and strategies.
- Explore the benefits and trade-offs of various cloud service models: IaaS, PaaS, and SaaS.
- Examine the role of application modernization, including containers, serverless computing, and APIs.
- Identify and assess machine learning (ML) use cases and manage ML projects effectively.
Program Overview
Digital Transformation with Google Cloud
⏱️2 Hours
Introduction to cloud technology and its impact on businesses.
Discussion on cloud service models and their applications.
AWS Cloud Technical Essentials
⏱️1 hours
Understanding cloud modernization and migration strategies.
Exploration of containers, serverless computing, and APIs.
Insights into hybrid and multi-cloud strategies.
Skills and Best Practices for Cloud Support Associates
⏱️13 Hours
Identification of common ML use cases in businesses.
Assessment of ML project feasibility and impact.
Overview of building, training, and evaluating ML models.
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Job Outlook
Proficiency in digital transformation and AI/ML integration is valuable for roles such as Digital Transformation Consultant, Cloud Solutions Architect, and AI Project Manager.
Skills acquired in this specialization are applicable across various industries, including technology, finance, healthcare, and manufacturing.
Completing this specialization can enhance your qualifications for positions that require understanding of cloud technologies and AI/ML applications in business contexts.
Specification: Digital Transformation Using AI/ML with Google Cloud Specialization
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FAQs
- Covers AI/ML fundamentals on Google Cloud
- Demonstrates real-world use cases across industries
- Explains tools like BigQuery ML and Vertex AI
- Focuses on solving business challenges with AI
- IT specialists wanting cloud AI skills
- Data analysts and engineers using Google Cloud
- Business professionals driving digital initiatives
- Students aspiring to work in AI-powered industries
- Designing AI/ML solutions with Google Cloud
- Using BigQuery for scalable data analysis
- Applying Vertex AI for model training and deployment
- Understanding AI ethics and responsible innovation
- Some familiarity with cloud platforms is helpful
- Programming experience is beneficial but optional
- Designed to be beginner-friendly with guided learning
- Suitable for both technical and non-technical learners
- Strengthens resume with Google Cloud AI/ML skills
- Opens opportunities in data science and cloud AI roles
- Builds expertise in business-focused AI applications
- Prepares learners for advanced Google Cloud certifications
