AWS Certified AI Practitioner (AIF-C01) Course Overview

AWS Certified AI Practitioner (AIF-C01) Course Overview

The AWS Certified AI Practitioner (AIF-C01) course offers a comprehensive introduction to artificial intelligence and machine learning on the AWS platform. Designed for individuals eager to expand their skill set, this course covers key concepts, including AI frameworks, machine learning models, and data analysis techniques.

Learning objectives include understanding core AI and ML concepts, exploring AWS AI services, and applying best practices for AI implementation. The course emphasizes hands-on experience, enabling participants to leverage AWS tools effectively in real-world scenarios. With these skills, you will be well-equipped to contribute to AI projects and innovations within your organization, paving the way for a brighter career in technology.

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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Target Audience for AWS Certified AI Practitioner (AIF-C01)

The AWS Certified AI Practitioner (AIF-C01) course provides foundational knowledge of AI and machine learning on AWS, ideal for individuals seeking to enhance their skills in artificial intelligence.


  • Data Analysts
  • Business Analysts
  • Project Managers
  • AI/Machine Learning Enthusiasts
  • IT Professionals
  • Software Developers
  • Data Scientists
  • Solution Architects
  • Technical Managers
  • Cloud Practitioners
  • System Administrators
  • Product Managers
  • Marketing Professionals
  • Academic Researchers
  • Professionals in Data-Driven Roles


Learning Objectives - What you will Learn in this AWS Certified AI Practitioner (AIF-C01)?

Introduction:
The AWS Certified AI Practitioner (AIF-C01) course equips learners with foundational knowledge of AI and machine learning concepts, AWS services, and best practices for implementing AI solutions using AWS.

Learning Objectives and Outcomes:

  • Understand the core concepts of AI and machine learning.
  • Identify and differentiate between various AI and machine learning services in AWS.
  • Learn to use AWS tools for data collection and preparation.
  • Explore machine learning model training and evaluation processes.
  • Gain insights into the deployment and monitoring of AI models.
  • Understand ethical considerations and best practices in AI.
  • Recognize use cases and applications of AI solutions in various industries.
  • Develop skills for designing AI solutions in AWS based on business needs.
  • Learn to communicate AI concepts effectively to non-technical stakeholders.
  • Prepare for the AWS Certified AI Practitioner exam with confidence.

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