Skills you'll gain: Identity and Access Management, Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Kubernetes, Microservices, Application Deployment, Cloud Computing, Infrastructure As A Service (IaaS), Generative AI, Terraform, Cloud Security, Data Storage, Cloud Services, Network Architecture, Containerization, Cloud Deployment, Cloud Storage, Cloud Computing Architecture, Technical Design

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing

Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Services, Load Balancing, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Cloud Computing, Virtual Networking

Skills you'll gain: Site Reliability Engineering, Google Cloud Platform, Load Balancing, Google App Engine, Identity and Access Management, Cloud Infrastructure, Microservices, Service Level, Software Design Patterns, Kubernetes, Platform As A Service (PaaS), CI/CD, Managed Services, Virtual Machines, Cloud Services, Cloud-Native Computing, Cloud Management, Infrastructure as Code (IaC), Containerization, Cloud Storage

Skills you'll gain: Web Services, Email Automation, Scripting, Automation, Python Programming, Restful API, Application Programming Interface (API), JSON, System Monitoring, Image Analysis, Debugging

Skills you'll gain: Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Dataflow, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Infrastructure, Tensorflow, Data Warehousing

Skills you'll gain: Identity and Access Management, Cloud Infrastructure, Prompt Engineering, Google App Engine, Google Cloud Platform, Kubernetes, Microservices, Infrastructure As A Service (IaaS), Cloud Platforms, Cloud Computing Architecture, Load Balancing, Cloud Computing, Cloud Applications, Generative AI, Restful API, Cloud API, Terraform, Platform As A Service (PaaS), Application Deployment, Virtual Machines

Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Load Balancing, Network Planning And Design

Skills you'll gain: Disaster Recovery, Data Management, Google Cloud Platform, Cloud Infrastructure, SAP Applications, Identity and Access Management, Cloud Deployment, Cloud Computing, Cloud Security, Data Migration, Cloud Storage, Scalability

Skills you'll gain: Google Cloud Platform, Data Transformation, Dataflow, Extract, Transform, Load, Feature Engineering, Data Lakes, Data Pipelines, Real Time Data, Apache Kafka, Data Warehousing, Tensorflow, Data Governance, Model Deployment, Data Quality, Data Processing, Apache Spark, Dashboard, Data Infrastructure, Data Architecture, Big Data

Skills you'll gain: Microservices, Application Deployment, Google Cloud Platform, Google App Engine, Cloud Applications, Spring Framework, Spring Boot, Kubernetes, Java, Software Architecture, Data Migration, Cloud Services, Application Performance Management, Databases, Database Management, Cloud Storage

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Model Deployment, Data Pipelines, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Performance Tuning, AI Security, Data Transformation, Embeddings