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    • Aws Lambda

    AWS Lambda Courses Online

    Master AWS Lambda for serverless computing. Learn to build and deploy functions that run in response to events without managing servers.

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    Explore the AWS Lambda Course Catalog

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      459 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced Programming in Kotlin

      Skills you'll gain: Kotlin, Android Development, Android Studio, Unit Testing, Object Oriented Programming (OOP), Mobile Development, Test Driven Development (TDD), Integration Testing, Functional Design, Software Design Patterns, UI Components

      4.7
      Rating, 4.7 out of 5 stars
      ·
      113 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Introduction to Building with AWS Databases V01.01.00

      Skills you'll gain: Amazon Web Services, Database Design, Database Systems, Data Migration, Databases, Solution Design

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python 3 Programming

      Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Data Import/Export, Restful API, Python Programming, Image Analysis, Data Manipulation, Jupyter, Maintainability, Data Structures, Software Engineering, File Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23K reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Amazon Web Services

      Exam Prep: AWS Certified Cloud Practitioner Foundations

      Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Cloud Computing Architecture, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Security, Cloud Services, Amazon S3, Cloud Computing, Infrastructure As A Service (IaaS), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      105 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

      Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Applied Machine Learning, Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Analysis, Real Time Data, Predictive Modeling, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      35 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)

      4
      Rating, 4 out of 5 stars
      ·
      207 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Internet of Things V2: Setting up and Using Cloud Services

      Skills you'll gain: Cloud Computing Architecture, Cloud Computing, Amazon Web Services, Cloud Infrastructure, Cloud Services, Embedded Software, Internet Of Things, Amazon Elastic Compute Cloud, Software Installation, Embedded Systems, Linux, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon Bedrock - Getting Started with Generative AI

      Skills you'll gain: Generative AI, Amazon Web Services, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud API, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      116 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      K

      KodeKloud

      AWS Cloud Practitioner (CLF-C02)

      Skills you'll gain: Amazon Web Services, Public Cloud, Cloud Computing, Amazon Elastic Compute Cloud, AWS Identity and Access Management (IAM), Cloud Management, Cloud Platforms, Cloud Services, Cloud Security, Amazon S3, Cloud Storage, Amazon CloudWatch, Amazon DynamoDB, Data Storage, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      W

      Whizlabs

      Exam Prep AIF-C01: AWS Certified AI Practitioner

      Skills you'll gain: Prompt Engineering, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Amazon Web Services, Large Language Modeling, AWS Identity and Access Management (IAM), Machine Learning, Cloud Security, Amazon CloudWatch, Amazon S3, Deep Learning, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 3 Months

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

    • MLOps | Machine Learning Operations: Duke University
    • Advanced Programming in Kotlin: Meta
    • Introduction to Building with AWS Databases V01.01.00: Amazon Web Services
    • Python 3 Programming: University of Michigan
    • Exam Prep: AWS Certified Cloud Practitioner Foundations: Amazon Web Services
    • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
    • Rust Programming: Duke University
    • Internet of Things V2: Setting up and Using Cloud Services: University of California San Diego
    • Amazon Bedrock - Getting Started with Generative AI: Amazon Web Services
    • AWS Cloud Practitioner (CLF-C02): KodeKloud

    Frequently Asked Questions about Aws Lambda

    Amazon Web Services (AWS) Lambda is a serverless computing service. While that seems to imply that no servers are involved, it actually means that AWS provides the servers businesses and other clients need to power their code-based activities on the Web. The client supplies the code, and Lambda runs the code for virtually any type of backend service or application. Lambda accepts a variety of code languages, including Node.js, Python, Ruby, Java, .NET, and Go. Once the code is written, AWS Lambda runs it when needed in response to events, such as HTTP requests using Amazon API Gateway, changes in data to an Amazon S3 bucket or DaynamoDB table, or process streaming data stored in Amazon Kinesis. AWS essentially takes the administrative responsibilities out of the hands of the client and provides services such as monitoring fleet health, applying security patches, and provisioning capacity as well as deploying code.‎

    Learning AWS Lambda can help you qualify for a variety of AWS positions, including AWS engineer, AWS Glue data engineer, AWS DevOps engineer, AWS cloud data engineer, and AWS infrastructure support. You might also pursue a career as a full-stack Java developer with AWS Lambda or an AWS consultant. Outside of the AWS arena, career opportunities that can arise from learning AWS Lambda also include software engineer, backend engineer, and DevOps engineer.‎

    By taking online courses on Coursera, you can understand the basics of AWS Lambda, learn how to create a lambda function in Python and other languages, create an API gateway, create an Amazon S3 bucket and upload front-end code to it, and make a website accessible from the internet by enabling website hosting on S3 using AWS Lambda. You also have the opportunity to learn how to build a RESTful API application using AWS Lambda and understand how to access error logs and monitor server performance. Learning AWS Lambda through online courses can also give you a better understanding of the various services provided by AWS beyond Lambda.‎

    Online AWS Lambda courses offer a convenient and flexible way to enhance your existing knowledge or learn new AWS Lambda skills. With a wide range of AWS Lambda classes, you can conveniently learn at your own pace to advance your AWS Lambda career skills.‎

    When looking to enhance your workforce's skills in AWS Lambda, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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