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Politecnico di Milano
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Platforms, Deep Learning, Hardware Architecture, Cloud Services, Information Technology, Internet Of Things, Computer Hardware, Cloud Computing, Embedded Systems, Data Centers, Application Development

Skills you'll gain: AI Integrations, Generative Model Architectures, Requirements Analysis, Solution Design, Functional Requirement, Business Requirements, Scalability, Systems Integration

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Deep Learning

Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Continuous Delivery, Dependency Analysis, Performance Tuning, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis

Skills you'll gain: Feature Engineering, Responsible AI, Model Evaluation, Model Deployment, Technical Communication, Data Preprocessing, Data Transformation, Stakeholder Communications, Performance Analysis, Data Wrangling, Data Cleansing, Predictive Modeling, Machine Learning, Embeddings, Artificial Intelligence, Report Writing, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package)
What brings you to Coursera today?

Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Microsoft Azure, Prompt Engineering, Model Training, Cloud Deployment, Retrieval-Augmented Generation, Prompt Patterns, Prompt Engineering Tools, Model Evaluation, AI Workflows, Data Pipelines, Fine-tuning, Continuous Monitoring, Data Preprocessing

University of California, Santa Cruz
Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Generative AI Agents, AI Integrations, Agentic systems, Context Engineering, Agentic Workflows, Application Deployment, Token Optimization, Tool Calling, LLM Application, Context Management, Enterprise Architecture, Responsible AI, Model Evaluation, Large Language Modeling, Memory Management, Routing Protocols

Skills you'll gain: Model Deployment, Tensorflow, Generative AI Agents, Recurrent Neural Networks (RNNs), BeeAI, Transfer Learning, Deep Learning, Convolutional Neural Networks, AI Orchestration, Application Deployment, Artificial Neural Networks, Responsible AI, Agentic Workflows, Agentic systems, Data Ethics, Model Training, Scalability, Model Optimization, Applied Machine Learning, Machine Learning

Coursera
Skills you'll gain: AI Security, Threat Modeling, IT Security Architecture, Security Engineering, Security Architecture Review, Security Requirements Analysis, Threat Management, Data Flow Diagrams (DFDs), Security Controls, Data Security, Key Management, Cloud Management, Software Documentation, Managed Services, Risk Analysis, Authentications, Technical Communication

Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Devops Tools, BeeAI, Docker (Software), Cloud Deployment, Agentic systems, Google Cloud Platform, Cloud Platforms, Kubernetes, Applied Machine Learning, Scalability