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The Complete AWS Certified AI Practitioner AIF-C01 for 2025
Rating: 3.3 out of 5(96 ratings)
296 students

The Complete AWS Certified AI Practitioner AIF-C01 for 2025

Master AWS Certified AI Practitioner AIF-C01 Topics and get AWS AI certified the AIF-C01 exam.
Created byRasool Shaik
Last updated 1/2025
English
English [Auto],

What you'll learn

  • Pass the AWS Certified AI Practitioner Certification AIF-C01
  • Learn the key AWS AI services, DynamoDB basics and other topics to pass the exam
  • Building API in AWS with external systems
  • Learn every things for the AWS AI Practitioner exam

Course content

1 section • 9 lectures • 2h 8m total length

  • Introduction to AWS Certified AI Practitioner7:02

    Learn the fundamentals of cloud computing with AWS, focusing on benefits, on demand resources, pay as you go pricing, and cloud types—public, private, and hybrid, with regions and availability zones.

  • Amazon EventBridge20:41

    Explore how Amazon EventBridge, a serverless event bus, ingests real-time data from AWS, SaaS, and custom sources and routes to Lambda and other targets using patterns, rules, pipes, and schemas.

  • AWS Data Pipeline11:45

    Learn AWS data pipeline concepts, including the pipeline definition, scheduling, and task runners. Explore migration options to AWS Glue, AWS Step Functions, or Amazon managed workflows for Apache Airflow.

  • AWS Glue Studio13:54

    Discover, transform, and orchestrate data with AWS Glue and Glue Studio, a serverless ETL platform that builds and monitors pipelines, and leverages a central data catalog.

  • AWS Lake Formation17:33

    Learn how AWS lake formation centralizes data lake governance with granular permissions, a unified data catalog, and secure cross-account data sharing.

  • Management and Governance Services10:41

    Explore AWS management and governance services, including CloudFormation, CloudTrail, CloudWatch, AWS Config, Control Tower, Health Dashboard, and Well-Architected Tool for scalable, compliant cloud operations.

  • Overview of AWS Services20:15

    Explore the breadth of AWS services across compute, storage, database, networking, analytics, and AI/ML, with high-level overviews of each category and key offerings.

  • What is Quick Slight in AWS14:39

    Amazon QuickSight powers cloud-based business intelligence by integrating data from diverse sources into secure, scalable dashboards, using the spice in-memory engine with ML insights and row-level security.

  • AWS Open Search12:16

    Discover how Amazon OpenSearch service simplifies deploying, securing, and scaling OpenSearch clusters, with serverless ingestion options and clear guidance on when to choose OpenSearch service versus self-managed deployments.

Requirements

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

Description

The AWS Certified AI Practitioner certification is designed for individuals who want to demonstrate their knowledge and understanding of artificial intelligence (AI) and machine learning (ML) services offered by Amazon Web Services (AWS). This certification is ideal for anyone seeking to gain a foundational understanding of AI/ML concepts and their application within the AWS ecosystem, including business decision-makers, technical professionals, and developers who want to build AI solutions on AWS.

The AWS Certified AI Practitioner exam covers several key areas. Firstly, it tests the candidate's understanding of fundamental AI/ML concepts. This includes a grasp of different types of machine learning models, such as supervised, unsupervised, and reinforcement learning, as well as common algorithms like regression, classification, clustering, and deep learning. The exam also assesses knowledge of data preparation, feature engineering, and model evaluation techniques, which are crucial for building and deploying effective machine learning models.

The AWS Certified AI Practitioner certification provides a comprehensive overview of AI and machine learning within the AWS ecosystem. It equips professionals with the knowledge and skills needed to leverage AWS services for AI solutions, from understanding core AI/ML concepts to applying AWS-specific tools and ensuring ethical and secure deployment of AI systems. This certification is a valuable asset for anyone looking to advance their career in AI and machine learning, particularly within the AWS environment.

Who this course is for:

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

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