Introduction to Machine Learning on Google Cloud

Machine learning is revolutionizing the way businesses analyze data, make decisions, and serve their customers. This course—Machine Learning on Google Cloud: Core Infrastructure—equips your workforce with the skills to build, train, and deploy ML models using Google Cloud's powerful AI infrastructure.

Designed by NetSkill, a leading corporate training company, this program provides enterprise-grade hands-on training using real-world ML applications and tools like TensorFlow, AutoML, Vertex AI, and BigQuery ML. The course blends theory, cloud practice labs, and gamified experiences to accelerate learning and drive impact at scale.

Instructor-Led, In-Person, or Self-Paced Learning Options

At NetSkill, we make learning seamless and accessible for all types of corporate environments through three flexible modes:

• Instructor-Led (Live Online) – Led by certified Google Cloud ML experts
• In-Person Training – Onsite corporate sessions with lab-based guidance
• Self-Paced via NetSkill LMS – Anytime access to course content, videos, quizzes, and certification

All learning modes offer:

• Gamified learning paths with badges, XP, and leaderboards
• NetSkill certification and employer-recognized skill proof
• Real-time assessments, quizzes, and feedback
• Case studies and hands-on projects available on NetSkill LMS

Target Audience for Corporate Machine Learning on Google Cloud Training

This course is tailored for:

• Data Scientists and ML Engineers
• Cloud Engineers and Solution Architects
• Data Analysts transitioning to ML roles
• Product & R&D Teams in AI/ML-driven organizations
• Corporate teams exploring scalable ML model deployment

Modules Covered in the Course

1. Introduction to ML on Google Cloud
2. Overview of Google Cloud AI/ML Tools (Vertex AI, BigQuery ML, AutoML)
3. Data Preparation and Feature Engineering
4. Training ML Models using AutoML and Vertex AI
5. Building Models with TensorFlow and Scikit-learn
6. Hyperparameter Tuning and Model Evaluation
7. ML Model Deployment on Google Cloud
8. Monitoring and Managing Models in Production
9. Integrating ML APIs: Vision, Natural Language, Translation
10. Capstone Project: End-to-End ML Workflow

Importance of Machine Learning on Google Cloud

Machine Learning on Google Cloud enables organizations to:

• Harness Google’s robust ML infrastructure for scalable models
• Accelerate development using pre-trained APIs and AutoML
• Operationalize AI quickly with Vertex AI and managed services
• Enhance decision-making and customer engagement through predictive analytics

With Google Cloud, your enterprise can go from ideation to implementation—faster and smarter.

Training Skills and Competencies for Employees

Employees who complete this course will:

• Understand the ML lifecycle and apply it using Google Cloud
• Design and deploy machine learning workflows using Vertex AI
• Build models using both AutoML and custom TensorFlow
• Solve real-world business problems with AI/ML solutions
• Earn certification showcasing ML expertise on Google Cloud

NetSkill Approach to Machine Learning on Google Cloud Training

We don’t just teach. We transform your team’s capabilities.

NetSkill’s approach combines:

• Scenario-based learning rooted in enterprise use cases
• Hands-on lab sessions for real tool practice
• Gamified modules for motivation and milestone tracking
• Custom curriculum tailored to your business goals
• Reporting and analytics to monitor team progress via NetSkill LMS

Why Choose NetSkill as Your Machine Learning on Google Cloud Training Partner?

• Corporate-ready curriculum with enterprise case studies
• Expert instructors with industry and Google Cloud credentials
• Flexible access modes: Live online, In-Person, and Self-Paced on LMS
• Engaging content: Videos, quizzes, gamification, badges
• Trusted by enterprises across sectors for AI/ML upskilling

Available on NetSkill LMS

All modules are hosted on the NetSkill LMS, including:

• Course videos, reference materials, and documentation
• Interactive quizzes and performance-based assessments
• Leaderboards, XP tracking, and digital certificates
• Self-paced access for ongoing learning and revision

Gamified Learning Outcomes

• Complete modules to earn badges (e.g., "AutoML Expert", "Vertex AI Pro")
• Track progress via leaderboards and XP points
• Get rewarded with certificates and NetSkill Skill Score
• Compete in team challenges and hackathons