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  • Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

  • Skills you'll gain: Kubernetes, Docker (Software), Containerization, Cloud-Native Computing, Application Deployment, YAML, Devops Tools, Command-Line Interface, Google Cloud Platform, Web Applications, Cloud Deployment, Data Persistence, Development Environment, Configuration Management, Virtual Networking, Nginx, Microservices, Software Installation, MongoDB, Service Management

  • Skills you'll gain: Kubernetes, Application Deployment, Cloud-Native Computing, Scalability, Containerization, API Gateway, Devops Tools, Cloud Applications, Cloud Storage, Network Troubleshooting, Authentications, DevOps, Development Environment, Debugging, YAML, Software Installation, Network Routing, Google Cloud Platform, Network Protocols, Application Programming Interface (API)

  • Skills you'll gain: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Infrastructure, Hardware Architecture, Model Optimization, Infrastructure Architecture, AI Workflows, Cloud Computing Architecture, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Model Training, Cloud Platforms, Computing Platforms, Performance Tuning, Interoperability, Artificial Intelligence, Product Demonstration, Systems Architecture

  • Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Logistic Regression

  • Skills you'll gain: Kubernetes, Identity and Access Management, Google Cloud Platform, Containerization, Cloud Management, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Services, Cloud Computing Architecture, Application Deployment, Cloud Deployment, Infrastructure Architecture, Command-Line Interface, Continuous Delivery

What brings you to Coursera today?

  • Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, LangChain, LangGraph, LLM Application, Tool Calling, Agentic systems, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Retrieval-Augmented Generation, Generative AI, Prompt Engineering, AI Integrations, Application Development, Data Visualization, Large Language Modeling, Analytics, Software Design Patterns

  • Skills you'll gain: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, AI Integrations, Systems Architecture, Solution Architecture, Model Optimization, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Data Engineering, Cloud Infrastructure, Docker (Software), Prometheus (Software)

  • Skills you'll gain: Kubernetes, Cloud-Native Computing, YAML, Containerization, Application Deployment, Development Environment, Virtual Machines, Data Persistence, Virtualization, Virtual Environment, Dashboard Creation, Network Routing, Network Architecture, Command-Line Interface, Software Installation, Configuration Management, Scalability

  • Skills you'll gain: Kubernetes, Prometheus (Software), Google Gemini, Anthropic Claude, Cloud-Native Computing, AI Workflows, Amazon Bedrock, AI Integrations, Grafana, Command-Line Interface, Real Time Data, Software Installation

  • Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

  • Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, AWS SageMaker, AI Workflows, Retrieval-Augmented Generation, Shell Script, IT Automation, Unix Shell, Command-Line Interface, AI Integrations, AI Security, Prototyping, Large Language Modeling, Generative AI, Data Management, Anomaly Detection