Digital Transformation Using AI/ML with Google Cloud Specialization Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Digital Transformation with Google Cloud
Estimated time: 2 hours
- Introduction to cloud technology and its impact on businesses
- Key drivers of digital transformation
- Role of cloud computing in modern business strategies
- Overview of cloud service models: IaaS, PaaS, and SaaS
Module 2: AWS Cloud Technical Essentials
Estimated time: 1 hour
- Understanding cloud modernization and migration strategies
- Introduction to containers and their role in application development
- Exploring serverless computing concepts
- Using APIs for integration and scalability
Module 3: Cloud Modernization and Migration
Estimated time: 3 hours
- Assessing organizational readiness for cloud adoption
- Strategies for workload migration to the cloud
- Hybrid and multi-cloud deployment models
- Best practices for secure and efficient cloud transitions
Module 4: Application Modernization with Google Cloud
Estimated time: 4 hours
- Modernizing legacy applications using containers
- Implementing serverless architectures
- Designing scalable applications with APIs
- Case studies in application transformation
Module 5: Machine Learning in Business Contexts
Estimated time: 3 hours
- Identifying common machine learning use cases in industries
- Assessing feasibility and business impact of ML projects
- Overview of building, training, and evaluating ML models
Module 6: Final Project
Estimated time: 5 hours
- Develop a digital transformation strategy for a hypothetical organization
- Incorporate cloud migration, application modernization, and AI/ML integration
- Present business value, technical approach, and expected outcomes
Prerequisites
- Familiarity with basic cloud computing concepts
- Understanding of business operations and digital strategy
- Basic knowledge of AI and machine learning principles
What You'll Be Able to Do After
- Explain how cloud technology transforms business operations
- Compare and select appropriate cloud service models
- Evaluate application modernization techniques
- Identify viable machine learning use cases in business
- Design a comprehensive digital transformation plan using Google Cloud