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AWS Certified AI Practitioner

AWS Certified AI Practitioner Course (AIF-C01) with Expert Mentors

AWS Certified AI Practitioner Training (AIF-C01) is an introductory course geared towards beginners as well as practicing experts looking to gain in-depth knowledge about AI/ML concepts using AWS services. This course covers AI/ML scenario basics, responsible AI & more.

Duration: 7 – 8 Weeks | Mode: Live + Recorded Sessions

AWS Certified AI Practitioner Demo

The AWS Certified AI Practitioner Course helps learners establish a solid foundation in AI, ML, and Generative AI with AWS.

Our Recently Placed AWS AI Practitioner Students

Aarohi

Placed at Tanaashi Technologies

Saanvi Rao

Placed at Glorious Insight

Rohan

Placed at Amazon Web Services

Kunal Shah

Placed at Wipro

Nisha

Placed at Microsoft

Tanvi Deshmukh

Placed at Accenture

Simran Kaur

Placed at EY (Ernst & Young)

Kavya

Placed at Oracle

About AWS Certified AI Practitioner Course

The AWS Certified AI Practitioner course will help learners establish strong foundational knowledge of AI, Machine Learning, and Generative AI with AWS, learn the practical applications of AI and the concept of responsible AI, and get ready to take the AIF-C01 exam with confidence.

Why AWS Certified AI?
  • Good starting certification for people learning AI and cloud
  • Helps you understand AI, ML, and Generative AI basics
  • Teaches AWS AI tools like SageMaker, Rekognition, and Lex
  • Explains how to use AI in a fair and safe way
  • Helps you get better job chances in AI-related roles

What You Get

  • Live classes with a trainer
  • Recorded sessions to watch again
  • Practical demos to understand better
  • Help for certification and exams

Course Design & Approved By

Nasscom & Wipro

What You Learn in AWS AI Practitioner Basics?

You will learn core concepts of AI and ML, basics of Generative AI, AI best practices, and AI in real-world scenarios. The course also covers AWS AI/ML services which are important for clearing the AWS AIF-C01 certification with confidence.

AWS (AIF-C01) Exam Overview

  • Category: Fundamental
  • Exam Duration: 90 Minutes
  • Exam Format: 65 Questions
  • Exam Cost: Visit Official AWS Website

Advanced Topics & Use Cases

  • Introduction to Amazon SageMaker
  • Generative AI use cases on AWS
  • AI-powered applications and workflows
  • Business and industry AI scenarios
  • Exam-oriented practice and examples

Download Curriculum

Get a peek through the entire curriculum designed that ensures Placement Guidance

Course Design By

nasco wp

Course Offered By

Why Choose AWS Certified AI Practitioner Course Online?

  • Learn AI at your own speed
  • Easy for beginners, no coding needed
  • Course matche what companies use AWS
  • Practice with real AWS tools
  • Training focused on jobs

By End of AWS Certified AI Practitioner, You Will Be Able To

  • Understand the basics of AI and ML
  • Choose the right AWS AI tools
  • Learn how to use AI in a fair
  • Get ready for the AWS AIF-C01 exam
  • Explain AI ideas clearly at work
Learners Reviews

“I was unaware of AI before joining the AWS Certified AI Practitioner Course. I was taught from basic-level knowledge.”

— Shweta Patil – Fresher

“The hands-on demos explained the use of AWS AI tools. I learned all the steps. At each step, explanations were provided.”

— Ankit Malhotra, Software Tester

“The trainer discussed how AI was being used in business work activities. They were easy to comprehend.”

— Pallavi Iyer, Business Analyst

“It helped me feel prepared before the certification exam. Tips for the exam were discussed. Questions were presented as well.”

— Vikram Singh, Working Professional

“It is a good course for beginners. I could learn how to do AI in AWS from basics with the help of this course.”

— Neha Kulkarni, IT Graduate

“I think I understand AI in simple term because of AWS Certified AI Practitioner. The trainer taught us all topic slowly. With the live demo.”

— Rakesh Verma, Cloud Trainee
AWS Certified Country-wise Job Profiles & Salary Guide

Top Job Profiles:

  • AWS Cloud Engineer
  • AWS Solutions Architect
  • Cloud Support Associate
  • DevOps Engineer (AWS)

Average Salary Range:

  • INR 4 LPA - INR 7 LPA (Entry Level)
  • INR 8 LPA - INR 16 LPA (Mid Level)
  • INR 18 LPA - INR 20+ LPA (Senior Level)

Top Job Profiles:

  • AWS Cloud Engineer
  • AWS Solutions Architect
  • Cloud Engineer
  • DevOps Engineer (AWS)

Average Salary Range:

  • $75,000 - $95,000 (Entry Level)
  • $100,000 - $130,000 (Mid Level)
  • $140,000 - $160,000+ (Senior Level)

Top Job Profiles:

  • Cloud Computing Specialist
  • AWS Infrastructure Analyst
  • Cloud DevOps Engineer
  • Cloud Security Analyst

Average Salary Range:

  • CAD 70,000 - CAD 100,000 (Entry Level)
  • CAD 105,000 - CAD 135,000 (Mid Level)
  • CAD 140,000 - CAD 170,000+ (Senior)

Top Job Profiles:

  • AWS Cloud Engineer
  • AWS Solutions Architect
  • Cloud Infrastructure Engineer
  • DevOps Engineer (AWS)

Average Salary Range:

  • £38,000 - £55,000 (Entry Level)
  • £60,000 - £85,000 (Mid Level)
  • £90,000 - £120,000+ (Senior Consultant)

Top Job Profiles:

  • AWS Cloud Engineer
  • AWS Solutions Architect
  • Cloud Engineer
  • DevOps Engineer (AWS)

Average Salary Range:

  • EUR 65,000 - EUR 85,000 (Entry Level)
  • EUR 85,000 - EUR 100,000 (Mid Level)
  • EUR 105,000 - EUR 125,000+ (Senior Consultant)

Enroll Today

Start your artificial intelligence learning process with AWS Certified AI Practitioner Course Online to create a robust base for artificial intelligence and cloud computing.

About the Trainer

Taught by a cloud and AI expert with AWS certification in cloud and AI, offering in-depth knowledge of AWS AI services, ML concepts, and business cloud solutions.

  • AWS Certified professional
  • Hands-on expertise in AI and the Cloud
  • Real-world Enterprise Exposure
  • Certification-focused training
  • Continuous mentoring and career guidance
Frequently Asked Questions

Students, freshers, non-technical professionals, and IT professionals looking to create a foundational understanding of Artificial Intelligence and Machine Learning on the AWS platform would find this course suitable for them.

Prior coding or Artificial Intelligence experience is not needed, as it is a beginner-friendly course with a focus on concepts, use cases, and AWS Services.

This course is designed to prepare you for the AWS Certified AI Practitioner (AIF-C01) exam.

Learn about specific AWS AI and ML tools like Amazon Bedrock, SageMaker, etc. - AWS AI tools.

Yes, the flexibility of the learning mode makes it appropriate for both students as well as working individuals.

After this, students can explore roles such as AI Practitioner, Cloud AI Associate, AI Analyst, and other AI or ML-related jobs.

CURRICULUM & PROJECTS

AWS Certified AI Practitioner Training Program

    Amazon Bedrock - Overview

    Amazon Bedrock - Hands On

    Amazon Bedrock - Foundation Model (FM)

    Amazon Bedrock - Foundation Model (FM) - Hands On

    Amazon Bedrock - Fine-Tuning a Model

    Amazon Bedrock - FM Evaluation

    Amazon Bedrock - FM Evaluation - Hands On

    Amazon Bedrock - RAG & Knowledge Base

    Amazon Bedrock - RAG & Knowledge Base - Hands On

    Amazon Bedrock - RAG & Knowledge Base - Complete Setup - Hands On More GenAI Concepts

    Amazon Bedrock - GuardRails

    Amazon Bedrock - GuardRails - Hands On

    Amazon Bedrock - Agents

    Amazon Bedrock - CloudWatch Integration

    Amazon Bedrock - CloudWatch Integration - Hands On

    Amazon Bedrock - Pricing

    Amazon Bedrock - AI Stylist - Hands On

    Amazon Bedrock and Generative AI (GenAI) Quiz

Get full course syllabus in your inbox

    Amazon SageMaker AI - Overview

    Amazon SageMaker - Hands On

    Amazon SageMaker - Data Tools

    Amazon SageMaker - Models and Humans

    Amazon SageMaker - Governance

    Amazon SageMaker - Consoles

    Amazon SageMaker - Summary

    Amazon SageMaker - Extra Features

    Amazon SageMaker Quiz

    Section Introduction

Get full course syllabus in your inbox

    IAM Introduction: Users, Groups, Policies

    IAM Users & Groups - Hands On

    AWS Console Simultaneous Sign-in

    IAM Policies

    IAM Policies - Hands On

    IAM Roles

    IAM Roles - Hands On

    Amazon S3

    Amazon S3 - Hands On

    Amazon S3 - Storage Classes

    Amazon S3 - Storage Classes - Hands On

    Create an EC2 Instance with EC2 User Data to have a Website - Hands On

    AWS Lambda

    AWS Lambda - Hands On

    Amazon Macie

    AWS Config

    Amazon Inspector

    AWS CloudTrail

    AWS CloudTrail - Hands On

    AWS Artifact

    AWS Artifact - Hands On

    AWS Audit Manager

    AWS Trusted Advisor

    VPC & Network Security

    AWS Security Services - Summary

    Scenarios for Security

    AWS Security Services Quiz

    Responsible AI

    GenAI Challenges

    Compliance for AI

    Governance for AI

    Amazon Comprehend

    Amazon Comprehend - Hands On

    Amazon Translate

    Amazon Transcribe

    Amazon Transcribe - Hands On

    Amazon Polly

    Amazon Polly - Hands On

Get full course syllabus in your inbox

    Amazon Q Business - Hands On

    Amazon Q Apps

    Amazon Q Developer

    Amazon Q Developer - Hands On

Get full course syllabus in your inbox

    Prompt Engineering - Hands On

    Prompt Performance Optimization

    Prompt Performance Optimization - Hands On

Get full course syllabus in your inbox

    ML Terms You May Encounter in the Exam

    Training Data

    Supervised Learning

    Unsupervised Learning

    Self-Supervised Learning

    Reinforcement Learning

    RLHF - Reinforcement Learning from Human Feedback

    Model Fit, Bias, and Variance

    Model Evaluation Metrics

    Machine Learning - Inferencing

    Phases of a Machine Learning Project

    Hyperparameters

    When is ML not appropriate

Get full course syllabus in your inbox

+ More Lessons

Course Design By

naswipro

Nasscom & Wipro

Course Offered By

croma-orange

Croma Campus

Our Students' Projects
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IBM – Cloud Infrastructure Review Project

Scenario: Learning how regular checks help keep cloud setup stable and working without problems.

Live Work:
  • Reviewed daily cloud use
  • Fixed small setup issues
  • Updated basic settings
  • Checked server and access settings to keep things

Outcome: Cloud setup stayed stable.

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HCL Tech – Cloud Backup & Recovery Project

Scenario: Learning how to keep backup copies of cloud data so files are safe even if something is deleted by mistake.

Live Work:
  • Set simple backup rules
  • Stored backup copies
  • Tested restoring data
  • Checked backup status to make sure it was working

Outcome: Backup work was easy to manage.

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Wipro – Secure API Hosting Project

Scenario: Learning how simple backend services run on the cloud and how apps talk to servers using APIs.

Live Work:
  • Deployed an API service on the server
  • Tested API calls
  • Fixed small response issues
  • Checked server logs to see requests and errors

Outcome: API hosting became easy.

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Deloitte – Cloud Security Setup Project

Scenario: Learning how to keep cloud systems safe by controlling who can log in and what they can access.

Live Work:
  • Created user accounts
  • Set simple permission rules
  • Blocked open access to important parts
  • Tested logins to see who can access what

Outcome: Cloud security became clear.

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Capgemini – Cloud Monitoring & Alerts Project

Scenario: Learning how to check if a cloud server is working fine and how to track basic usage and problems.

Live Work:
  • Turned on basic monitoring
  • Checked server usage like load and memory
  • Viewed simple logs to see activity
  • Fixed small setup issues

Outcome: Cloud health became easy to track.

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Accenture – Secure Data Storage Project

Scenario: Learning how app data and files are stored online in cloud storage and how this data can be kept safe and accessed when needed.

Live Work:
  • Created a storage bucket
  • Uploaded data files
  • Gave access only to needed users
  • Checked files from the cloud panel

Outcome: Data storage flow was clear.

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TCS – Real-Time Website Hosting Project

Scenario: Learning how a website is put online so people can open it from anywhere using the internet instead of local hosting.

Live Work:
  • Uploaded website files like pages and images
  • Used S3 to host the website
  • Set access so anyone could view the site
  • Opened the website link to check if it was working

Outcome: Website hosting became clear and simple.

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Infosys – Real-Time Cloud Setup Project

Scenario: Learning how the cloud works from the start. It helped students understand how online servers are created, how systems run on the internet.

Live Work:
  • Created an AWS account step by step.
  • Set up an EC2 server to run
  • Set basic security so only allowed
  • Checked if the server was running

Outcome: Students understood basic cloud setup.

Our Recent AWS Certified AI Practitioner Job Requirements
AWS Cloud Support Role

Company: Capgemini

Location: Hyderabad

Experience: 1–3 Years

Required Skills: Cloud support work, issue fixing, basic reports.

Junior AWS Cloud Engineer

Company: Infosys

Location: Pune

Experience: 0–2 Years

Required Skills: Basic AWS services, simple server setup, storage handling.

AWS Cloud Trainee

Company: TCS

Location: Bangalore

Experience: 0–2 Years

Required Skills: Basic cloud setup, EC2 server use, simple storage work

Who Can Join AWS AI Practitioner Course?
  • Why : Good for people new to cloud work
  • Best Topics: Basic cloud setup, simple server use
  • Job Benefit: Junior cloud roles
  • Why : Useful for changing into cloud jobs
  • Best Topics: Full cloud setup flow, small project work
  • Job Benefit: Move into cloud roles
  • Why : Easy steps and simple learning flow
  • Best Topics: Basic cloud use, simple storage work
  • Job Benefit: Entry-level cloud roles
  • Why : Helps learn cloud work for apps
  • Best Topics: Full cloud flow, real tasks on AWS
  • Job Benefit: Better project roles
  • Why : Helps understand cloud work flow
  • Best Topics: Cloud reports, usage tracking
  • Job Benefit: Better team guidance
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