AWS Certified AI Practitioner (AIF-C01) Training

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AWS Certified AI Practitioner (AIF-C01) Training Course Overview

Advance your AI journey with AWS Certified AI Practitioner (AIF-C01) training by Multisoft Systems. Gain practical understanding of AI, machine learning, and generative AI on AWS, explore key services, ethics, and use cases, and confidently prepare for the AIF-C01 exam to support real-world, cloud-based AI initiatives across modern enterprises, teams, products, and digital transformations globally.

The AWS Certified AI Practitioner (AIF-C01) training by Multisoft Systems is designed to provide a strong foundation in artificial intelligence concepts and their practical application on the AWS Cloud. This program is ideal for professionals who want to understand how AI, machine learning, and generative AI are used to solve real business problems, even if they are not directly involved in building complex models. The training begins with core AI and ML fundamentals, including key terminology, learning types, and typical use cases across industries. Learners are introduced to AWS AI/ML services, gaining clarity on how managed services simplify model development, deployment, and integration into applications. Special focus is given to generative AI concepts, large language models, and how AWS enables responsible and scalable AI adoption. In addition, the course emphasizes ethical considerations, responsible AI practices, and governance, helping learners understand bias, transparency, and security in AI solutions. Real-world examples and exam-oriented explanations align closely with the AWS Certified AI Practitioner (AIF-C01) exam objectives.

By the end of this training, participants will be well-prepared to validate their AI knowledge through certification, communicate effectively with technical teams, and support AI-driven initiatives within their organizations using AWS technologies.

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AWS Certified AI Practitioner (AIF-C01) Training Course curriculum

Curriculum Designed by Experts

Advance your AI journey with AWS Certified AI Practitioner (AIF-C01) training by Multisoft Systems. Gain practical understanding of AI, machine learning, and generative AI on AWS, explore key services, ethics, and use cases, and confidently prepare for the AIF-C01 exam to support real-world, cloud-based AI initiatives across modern enterprises, teams, products, and digital transformations globally.

The AWS Certified AI Practitioner (AIF-C01) training by Multisoft Systems is designed to provide a strong foundation in artificial intelligence concepts and their practical application on the AWS Cloud. This program is ideal for professionals who want to understand how AI, machine learning, and generative AI are used to solve real business problems, even if they are not directly involved in building complex models. The training begins with core AI and ML fundamentals, including key terminology, learning types, and typical use cases across industries. Learners are introduced to AWS AI/ML services, gaining clarity on how managed services simplify model development, deployment, and integration into applications. Special focus is given to generative AI concepts, large language models, and how AWS enables responsible and scalable AI adoption. In addition, the course emphasizes ethical considerations, responsible AI practices, and governance, helping learners understand bias, transparency, and security in AI solutions. Real-world examples and exam-oriented explanations align closely with the AWS Certified AI Practitioner (AIF-C01) exam objectives.

By the end of this training, participants will be well-prepared to validate their AI knowledge through certification, communicate effectively with technical teams, and support AI-driven initiatives within their organizations using AWS technologies.

  • Understand fundamental concepts of artificial intelligence, machine learning, and generative AI
  • Learn common AI and ML terminology used in cloud-based and enterprise environments
  • Identify key AWS AI and ML services and understand their core use cases
  • Gain insight into how generative AI and foundation models are applied on AWS
  • Understand responsible AI principles, including ethics, bias, security, and governance
  • Learn how AI solutions are designed, deployed, and managed on the AWS Cloud
  • Recognize real-world business use cases for AI across different industries
  • Align knowledge with the AWS Certified AI Practitioner (AIF-C01) exam objectives
  • Build confidence to collaborate with technical teams on AI-driven projects

Course Prerequisite

  • Basic understanding of cloud computing concepts
  • Familiarity with general IT terminology and workflows
  • Awareness of data concepts such as structured and unstructured data

Course Target Audience

  • IT professionals and beginners exploring artificial intelligence on AWS
  • Cloud practitioners seeking foundational AI and ML knowledge
  • Business analysts and decision-makers involved in AI-driven initiatives
  • Project managers working with AI or data-focused teams
  • Software developers and application engineers needing AI awareness
  • Data analysts looking to understand AI concepts without deep modeling
  • Sales, pre-sales, and consulting professionals supporting AI solutions
  • Students and fresh graduates aiming for an entry-level AI certification

Course Content

  • What is Cloud Computing?
  • Traditional Data Center
  • Different types of Cloud Computing
  • AWS Cloud Overview
  • Shared responsibility model

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  • Overview of AI/ML concepts
  • AWS AI and ML services overview
  • Use cases of AI/ML in real-world scenarios

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  • Supervised, Unsupervised, and Reinforcement Learning
  • Key ML concepts: Features, Models, and Algorithms
  • Steps in a machine learning pipeline

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  • Introduction to Amazon Comprehend for NLP
  • Text-to-speech with Amazon Polly
  • Speech-to-text with Amazon Transcribe

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  • Introduction to Amazon Rekognition for image and facial analysis
  • Video content analysis with Rekognition Video
  • Document processing with Amazon Textract

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  • Introduction to machine learning models
  • Supervised vs. Unsupervised learning
  • Building, training, and deploying ML models using Amazon SageMaker

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  • What is prompt engineering?
  • Prompt performance optimization
  • Prompt Engineering Techniques
  • Prompt templates

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  • Introduction
  • Amazon Q business
  • Amazon Q Apps
  • Amazon Q developer
  • AWS PartyRock

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  • Understanding AI bias and fairness
  • AWS responsible AI principles
  • Governance and security best practices for AI applications

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  • IAM
  • Users, Groups, Policies
  • Roles
  • Amazon EC2
  • Create an EC2 instance with User data to have a website
  • AWS Lambda
  • Amazon Macie
  • Amazon Inspector
  • AWS Config
  • AWS CloudTrail
  • AWS Artifact
  • AWS Trusted Advisor

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  • Understanding the ALF-C01 exam format and domains
  • Sample questions and key concepts review
  • Tips for studying and certification success
  • Beyond certification: Career paths in AI with AWS

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AWS Certified AI Practitioner (AIF-C01) Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

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AWS Certified AI Practitioner (AIF-C01) Corporate Training

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AWS Certified AI Practitioner (AIF-C01) Training FAQ's

It is a foundational AWS certification that validates knowledge of artificial intelligence, machine learning, and generative AI concepts, along with an understanding of AWS AI/ML services and responsible AI practices.

This training is ideal for beginners, IT professionals, business users, project managers, and anyone who wants a basic understanding of AI on AWS without deep technical or coding expertise.

No. The course is designed for entry-level learners and does not require prior AI, ML, or data science experience.

Yes. The training introduces generative AI concepts, foundation models, and how AWS supports generative AI use cases in a responsible and scalable manner.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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