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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
      W

      Whizlabs

      Exploratory Data Analysis in AWS

      Skills you'll gain: AWS Kinesis, Amazon Redshift, Data Analysis, Real Time Data, Applied Machine Learning, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Cloud Security on AWS

      Skills you'll gain: AWS Identity and Access Management (IAM), Cloud Security, Threat Detection, Network Security, Incident Response, Identity and Access Management, Computer Security Incident Management, Amazon Web Services, Threat Management, IT Security Architecture, Data Security, Security Strategy, Data Loss Prevention, Cloud Standards, Security Controls, Cloud Computing, Security Management, Network Administration, Network Planning And Design, Encryption

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud IAM and Networking for AWS Professionals

      Skills you'll gain: Google Cloud Platform, Amazon Web Services, Virtual Private Networks (VPN), Identity and Access Management, Cloud Infrastructure, Cloud Computing Architecture, General Networking, Network Routing, Firewall, User Accounts, Virtual Machines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Analytics on AWS

      Skills you'll gain: Data-Driven Decision-Making, Data Lakes, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Business Analytics, Data Storage, Amazon Web Services, Machine Learning, Data Strategy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      23 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      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

    • 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
      A

      Amazon Web Services

      Migrating to the AWS Cloud

      Skills you'll gain: Amazon Web Services, Data Migration, Cloud Management, Cloud Infrastructure, Cloud Security, Data Import/Export, Cloud Computing, Cloud Applications, Infrastructure Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      236 reviews

      Intermediate · Course · 1 - 4 Weeks

    • W

      Whizlabs

      AWS DynamoDB Fundamentals

      Skills you'll gain: Amazon DynamoDB, Amazon Web Services, NoSQL, Operational Databases, Database Management, Database Design, Transaction Processing, Query Languages, JSON, Data Storage, Disaster Recovery, Data Manipulation, Scalability

      Beginner · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Integrating AWS with the SDK

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon DynamoDB, Amazon S3, Amazon Elastic Compute Cloud, API Gateway, Serverless Computing, Cloud API, Application Programming Interface (API), Identity and Access Management, Amazon Web Services, Authentications, Restful API, Authorization (Computing), NoSQL, Cloud Storage, Public Cloud, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Hands-on with AWS for IT Professionals

      Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Amazon S3, Amazon CloudWatch, Identity and Access Management, Cloud Management, Private Cloud, Cloud Computing, Cloud Computing Architecture, Public Cloud, Virtual Local Area Network (VLAN), Network Architecture, User Accounts, Personally Identifiable Information, Solution Architecture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Modeling in AWS

      Skills you'll gain: AWS SageMaker, Predictive Modeling, Applied Machine Learning, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning

      2.5
      Rating, 2.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…678…38

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

    • Exploratory Data Analysis in AWS: Whizlabs
    • Cloud Security on AWS: Edureka
    • Google Cloud IAM and Networking for AWS Professionals: Google Cloud
    • Fundamentals of Analytics on AWS: Amazon Web Services
    • Exam Prep AIF-C01: AWS Certified AI Practitioner: Whizlabs
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
    • Migrating to the AWS Cloud: Amazon Web Services
    • AWS DynamoDB Fundamentals: Whizlabs
    • Integrating AWS with the SDK: Amazon Web Services

    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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