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Results for "deployment"


  • I

    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Python Programming, Software Versioning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.6K reviews

    Beginner · Course · 1 - 3 Months

  • M

    Meta

    Meta React Native

    Skills you'll gain: React Native, Jest (JavaScript Testing Framework), Version Control, User Research, Usability Testing, Unix Commands, Restful API, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, SQL, User Interface (UI), User Experience, Mobile Development, Design Research, React.js, Web Development Tools, Javascript

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Transformers Unleashed: Master the Architecture of Modern AI

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Model Deployment, Extract, Transform, Load, Systems Design, Data Pipelines, Vision Transformer (ViT), System Design and Implementation, Software Documentation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    GPU Clusters & Containers

    Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Kubernetes, AI Workflows, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Made Easy for Software Engineers

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Extract, Transform, Load, Data Transformation, System Monitoring, Debugging, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Introduction to Cloud Computing

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Cloud Storage, Infrastructure As A Service (IaaS), Emerging Technologies, Hybrid Cloud Computing, Virtual Machines, Serverless Computing, Microservices, DevOps

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.7K reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Agile Release Management for Scrum and Kanban Teams

    Skills you'll gain: Stakeholder Engagement, Continuous Delivery, User Story, Risk Management, Project Risk Management

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    Generative AI for AWS Cloud Engineers

    Skills you'll gain: Amazon Bedrock, Retrieval-Augmented Generation, Responsible AI, Generative AI, AI Security, Amazon Web Services, AI Enablement, Cloud Engineering, Large Language Modeling, Model Deployment, Prompt Engineering, Data Ethics, AWS Identity and Access Management (IAM), Model Evaluation, Cloud Security, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    DeepLearning.AI TensorFlow Developer

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Artificial Neural Networks, Generative AI, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Data Preprocessing, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

1…131415…176

In summary, here are 10 of our most popular deployment courses

  • Introduction to Software Engineering: IBM
  • Meta React Native: Meta
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Transformers Unleashed: Master the Architecture of Modern AI: Coursera
  • GPU Clusters & Containers: Coursera
  • Machine Learning Made Easy for Software Engineers: Coursera
  • Introduction to Cloud Computing: IBM
  • Machine Learning in Production: DeepLearning.AI
  • Optimize and Manage Your ML Codebase: Coursera
  • Agile Release Management for Scrum and Kanban Teams: Packt

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