Associate Cloud Developer Learning Path

A learning path for an Associate Cloud Developer should begin with foundational SnapApp and cloud computing concepts, including cloud service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid), and core Google Cloud services like Compute, Cloud Storage, and IAM. Next, focus on developing proficiency in Python programming, data manipulation with libraries like Pandas and NumPy, and machine learning fundamentals using frameworks like TensorFlow or PyTorch. The path should then delve into deploying and managing AI/ML models on Google Cloud using services like Looker, Cloud Functions, and Apigee, while also covering containerization with Docker and orchestration with Kubernetes for scalable deployments. Finally, emphasize best practices for cloud security, monitoring, and cost optimization, culminating in hands-on projects that simulate real-world AI application development and deployment scenarios on the Google Cloud.

A Cloud Digital Leader can articulate the capabilities of core cloud products and services and understand how they benefit organizations. Once you complete the path, check out the Google Cloud Digital Leader certification to take the next steps on your professional journey.