Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
SAT Certified Practitioner Exam Prep
Rating: 4.8 out of 5(40 ratings)
236 students
Created byRasool Shaik
Last updated 3/2025
English

What you'll learn

  • Pass the AWS Certified AI Practitioner Certification AIF-C01
  • Be ready to take the AWS Certified AI Practitioner Certification Exam
  • Learn various topics for AWS Certified AI Practitioner Certification exam
  • Setting up some API to Dynamo DB and other resources

Course content

8 sections81 lectures52h 31m total length
  • Introduction to AWS Certified AI Practitioner7:02

    Explore cloud computing's on-demand resources and pay only for what you consume, including public, private, and hybrid cloud, with AWS global infrastructure—regions, availability zones, local zones, and CloudFront.

  • Amazon AppFlow7:51

    Learn how Amazon AppFlow securely transfers data between SaaS apps like Salesforce and AWS services, using connections and flows with data mapping, filters, validation, and on-demand, event, or scheduled triggers.

  • Amazon EMR16:49

    Amazon EMR simplifies big data processing on AWS with Hadoop and Spark on managed clusters, covering steps and lifecycle, plus S3 and DynamoDB integration.

  • Amazon Kinesis Data Streams and Shard Quotes16:49

    Learn how Amazon Kinesis Data Streams enable real-time processing, from streams and shards to data records, partition keys, sequence numbers, producers, and Kinesis Client Library consumers.

  • Amazon MQ13:49

    Explore Amazon MQ as a managed broker service for ActiveMQ and RabbitMQ, compare it with SQS and SNS, and learn deployment options, storage, high availability, cross-region replication, and maintenance.

  • Amazon Redshift16:23

    Discover Amazon Redshift's provisioned and serverless modes for petabyte-scale analytics, with RPUs capacity, and namespaces and work groups for cost control and secure data sharing.

  • Amazon Simple Notifications14:36

    Explore Amazon SNS: publish-subscribe messaging, fan-out to SQS, Lambda, Kinesis Data Firehose, and HTTPS endpoints; standard and FIFO topics with ordering, deduplication, filtering, and dead-letter queues.

  • Automation Table Creation17:14

    Automate table creation in Amazon Athena using AWS Glue Data Catalog, crawlers, and Hive DDL, enabling serverless ad hoc queries on S3 data with automatic or manual table registration.

  • AWS AppSync14:07

    Explore how AWS AppSync enables secure serverless GraphQL and pub sub APIs, connects data sources via a single endpoint, and uses schemas and resolvers to manage data and real-time updates.

  • AWS Data Exchange14:59

    Explore how AWS Data Exchange facilitates data sharing through data grants and marketplace data products, supporting open data on AWS, diverse data sets, and secure access for data-driven analytics.

Requirements

  • You must have an AWS account and have some basic knowledge in AWS

Description

The SAT Certified Practitioner certification is designed for individuals seeking to understand foundational concepts in artificial intelligence (AI) and machine learning (ML) and how they can be applied using Amazon Web Services (AWS). This certification is particularly useful for those who are not necessarily involved in the technical aspects of AI and ML but need to have a clear understanding of these technologies to effectively communicate with stakeholders, support teams, or make informed business decisions.

You need to demonstrate their knowledge of core AI and ML concepts, AWS services related to AI and ML, and basic model building and deployment techniques. The certification exam covers four key domains: ML concepts, AWS AI and ML services, data preparation, and model training and deployment. This foundational knowledge is crucial for recognizing where and how AI and ML can be applied to solve business problems.

the AWS Certified AI Practitioner certification is a valuable credential for professionals who wish to gain a comprehensive understanding of AI and ML in the context of AWS. It helps bridge the gap between technical and non-technical roles, empowering individuals to contribute to AI-driven initiatives within their organizations effectively. By acquiring this certification, professionals demonstrate their ability to leverage AWS AI services to drive innovation and improve business outcomes.

Who this course is for:

  • For anyone wanting to learn and pass the AWS Certified AI Practitioner exam