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  • Aws Sagemaker

Results for "aws+sagemaker"


  • A

    Amazon Web Services

    AWS Generative AI Essentials

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, Model Context Protocol, AI Security, AI Workflows, AI Orchestration, Generative AI, Vibe coding, Secure Coding, LLM Application, Responsible AI, Amazon Web Services, Integrated Development Environments

    Beginner · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Deployment, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Specialization · 3 - 6 Months

  • W

    Whizlabs

    Fundamentals of AWS AI and ML Solutions

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Deep Learning, AI Personalization, Model Evaluation, Applied Machine Learning, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

  • 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

  • W

    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    SageMaker Unified Studio Foundations for Data Analytics

    Skills you'll gain: AWS SageMaker, Generative AI, Data Lakes, Data Governance, Data Architecture, Data Management, SQL, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

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  • P

    Packt

    AWS Cloud Projects

    Skills you'll gain: Infrastructure as Code (IaC), Terraform, Amazon Web Services, Cloud Infrastructure, Application Development, Cloud Development, Cloud Applications, CI/CD, AWS CloudFormation, Cloud Computing Architecture, Amazon Elastic Compute Cloud, Business Intelligence, Amazon S3, Web Development, API Gateway, Cloud Platforms, Serverless Computing, Cloud Services, Artificial Intelligence and Machine Learning (AI/ML), Amazon DynamoDB

    Intermediate · Course · 1 - 3 Months

  • A

    Amazon Web Services

    AWS Fundamentals Lab Series

    Skills you'll gain: Amazon CloudWatch, Cloud Infrastructure, Cloud Management, Amazon Web Services, Amazon S3, Cloud Computing, Data Migration, Cloud Security, Virtual Networking, Virtual Private Networks (VPN), MySQL, Systems Administration, Database Management, Network Security, Resource Management, Performance Analysis

    Beginner · Course · 1 - 3 Months

  • L

    LearnKartS

    AWS Certified Data Engineer Associate Exam Prep

    Skills you'll gain: AWS Kinesis, AWS SageMaker, AWS CloudFormation, Cloud Engineering, Data Quality, Docker (Software), Data Pipelines, Data Security, Databases, Version Control, Apache Spark, Data Modeling, Cloud Security, Cloud Storage, Network Security, Kubernetes, Git (Version Control System), Amazon Elastic Compute Cloud, AWS Identity and Access Management (IAM), Data Processing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 1 - 3 Months

  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

  • E

    EDUCBA

    Build AWS QuickSight Dashboards with Covid-19 Data

    Skills you'll gain: Dashboard, Interactive Data Visualization, Data Presentation, Data Visualization Software, Business Intelligence, Amazon Web Services, Business Analytics, Exploratory Data Analysis, Data Analysis, Data Import/Export

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Build Dashboards Using AWS QuickSight

    Skills you'll gain: Cloud-Native Computing, Business Intelligence Software, Amazon Web Services, Data Manipulation, Data Import/Export

    Beginner · Course · 1 - 4 Weeks

1234…9

In summary, here are 10 of our most popular aws+sagemaker courses

  • AWS Generative AI Essentials: Amazon Web Services
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • Fundamentals of AWS AI and ML Solutions: Whizlabs
  • Generative AI for AWS Cloud Engineers: Whizlabs
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
  • SageMaker Unified Studio Foundations for Data Analytics: Amazon Web Services
  • AWS Cloud Projects: Packt
  • AWS Fundamentals Lab Series: Amazon Web Services
  • AWS Certified Data Engineer Associate Exam Prep: LearnKartS
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University

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