Results for "aiops+implementation"
Skills you'll gain: AI Security, AI Orchestration, MLOps (Machine Learning Operations), Model Deployment, Vulnerability Assessments, AI Workflows, Governance Risk Management and Compliance, Retrieval-Augmented Generation, Responsible AI, Compliance Auditing, LLM Application, Personally Identifiable Information, Regulatory Compliance, Regulatory Requirements, Application Deployment, Generative Model Architectures, Decision Intelligence, Model Training, Cloud Deployment, Artificial Intelligence
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
Amazon Web Services
Skills you'll gain: Amazon CloudWatch, DevOps, Devops Tools, DevSecOps, Code Review, AI Integrations, Amazon Web Services, AI Security, Application Performance Management, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Continuous Monitoring, Vulnerability Scanning, Predictive Analytics
Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow
Duke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
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)
What brings you to Coursera today?
Starweaver
Skills you'll gain: Responsible AI, AI Product Strategy, AI Enablement, Technology Roadmaps, Organizational Change, Program Implementation, Stakeholder Engagement, Market Opportunities, Google Gemini, Business Strategy, Generative AI, Corporate Strategy, Corporate Communications, Enterprise Security, Prompt Engineering, Corporate Sustainability, Business Communication, Communication Strategies, Marketing Strategy and Techniques, Communication
Amazon Web Services
Skills you'll gain: Prompt Engineering, Amazon Bedrock, Responsible AI, Infrastructure as Code (IaC), Amazon CloudWatch, Application Deployment, Amazon Elastic Compute Cloud, CI/CD, AWS CloudFormation, Unit Testing, Continuous Deployment, Cloud Deployment, Amazon Web Services, DevOps, Devops Tools, DevSecOps, Code Review, Serverless Computing, Containerization, Data Analysis
Pragmatic AI Labs
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
Skills you'll gain: User Story, Cloud Computing Architecture, Agile Software Development, Cloud Services, Scrum (Software Development), Cloud Deployment, Agile Methodology, Kanban Principles, DevOps, Backlogs, Cloud Security, Cloud Technologies, Cloud Infrastructure, Sprint Retrospectives, Cloud Platforms, Cloud Computing, Cloud-Native Computing, Devops Tools, Continuous Integration, CI/CD
Skills you'll gain: Data Architecture, Data Infrastructure, LLM Application, Data Quality, AI Workflows, Generative AI, Data Governance, Data Pipelines, Extract, Transform, Load, Distributed Computing, AI Integrations, Data Management, Self Service Technologies, Cloud Storage, Data Processing, Data Storage, Scalability, Data Wrangling, Data Collection
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data
In summary, here are 10 of our most popular aiops+implementation courses
- Managing AI Systems: Development, Deployment, and Governance:Â Board Infinity
- Machine Learning Operations (MLOps) on Google Cloud:Â Google Cloud
- DevOps and AI on AWS: AIOps:Â Amazon Web Services
- Tokens to Deployment: NLP, Language Models, & Production API:Â Coursera
- MLOps | Machine Learning Operations:Â Duke University
- Blueprint to Bytecode: Architecting Scalable AI Systems:Â Coursera
- AI Leadership & Strategic Implementation:Â Starweaver
- DevOps and AI on AWS:Â Amazon Web Services
- Enterprise AIOps with Amazon Q Business:Â Pragmatic AI Labs
- IBM DevOps, Cloud, and Agile Foundations:Â IBM
