Results for "ai apps devops"
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
Google DeepMind
Skills you'll gain: Prompt Engineering, Google Gemini, Gemini, Prompt Engineering Tools, Generative AI Agents, AI Orchestration, LLM Application, Vibe coding, Program Development, Token Optimization, Agentic Workflows, LangChain, Cloud API, Artificial Intelligence, Serverless Computing, Microservices, Microsoft Azure, Natural Language Processing, Distributed Computing, Reinforcement Learning
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, AI Security, Retrieval-Augmented Generation, Docker (Software), Prompt Engineering, GitHub Copilot, Token Optimization, Agentic Workflows, AI Orchestration, LLM Application, Debugging, Serverless Computing, Software As A Service, Model Context Protocol, Amazon Web Services, Large Language Modeling, Rust (Programming Language), Code Review, Natural Language Processing, GitHub
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: Restful API, Flask (Web Framework), Application Deployment, Application Programming Interface (API), Unit Testing, Cloud Applications, AI Integrations, Python Programming, Web Applications, Software Development Life Cycle, IBM Cloud, Web Development, Development Testing, Artificial Intelligence, Code Review, Integrated Development Environments, AI literacy, Server Side, Programming Principles
What brings you to Coursera today?
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: Generative AI, Prompt Engineering Tools, Model Optimization, Serverless Computing, AI Workflows, AI Orchestration, Systems Development Life Cycle, Cloud Development, Development Testing, Mobile Development Tools, AI Enablement, AI Integrations, Application Development, Cloud Platforms, Web Analytics and SEO, Application Deployment, Software Development Tools, Cloud-Based Integration, Code Review, Computer Programming Tools
Skills you'll gain: GitHub Copilot, Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Azure, Cloud Storage, Data Storage, Prompt Patterns, Cloud Applications, Software Development, Text Mining, Unsupervised Learning, Cloud Deployment, Data Storage Technologies, Natural Language Processing, Computer Vision, Cloud Computing, Machine Learning
Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, LLM Application, LangChain, Large Language Modeling, Microservices, Test Driven Development (TDD), Software Architecture, Scalability, MLOps (Machine Learning Operations), Cloud Deployment, Cloud Computing Architecture, API Design, Site Reliability Engineering, Kubernetes, Prompt Engineering, Containerization, Infrastructure as Code (IaC), Python Programming, Performance Analysis
LearnQuest
Skills you'll gain: Dashboard Creation, Data Ethics, Predictive Modeling, No-Code Development, Model Deployment, Data Visualization, Data Presentation, Responsible AI, Data-Driven Decision-Making, Interactive Data Visualization, Advanced Analytics, Product Improvement, Business Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Data Cleansing, Data Preprocessing, Business Metrics, Predictive Analytics, Data Architecture
Skills you'll gain: AI Integrations, User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, LLM Application, Data Integration, Scalability
In summary, here are 10 of our most popular ai apps devops courses
- Managing AI Systems: Development, Deployment, and Governance:Â Board Infinity
- Gemini for Developers:Â Google DeepMind
- DevOps and AI on AWS:Â Amazon Web Services
- AI Tooling:Â Pragmatic AI Labs
- Blueprint to Bytecode: Architecting Scalable AI Systems:Â Coursera
- Developing AI Applications with Python and Flask:Â IBM
- AI Model Development & Deployment:Â Coursera
- Build and Modernize Applications With Generative AI:Â Google Cloud
- Building AI Cloud Apps with Microsoft Azure:Â Microsoft
- Microservices Architecture for AI Systems:Â Coursera
