CLOUD COMPUTING - AWS

★★★★★

(2,095 ratings) 50,000+ Student

AWS CERTIFIED AI PRACTITIONER

AWS Certified AI Practitioner Training covers foundational knowledge of AI, ML & Generative AI services on AWS, including Amazon Bedrock, SageMaker & responsible AI practices. This training is crucial for professionals aiming to build AI-driven solutions & understand ethical AI in cloud environments. Ideal for developers, data analysts, cloud practitioners & beginners in AI, it helps validate essential skills through a 90-minute certification exam with 65 questions.

Radical Technologies

50,000+ English 10 weeks Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 10 weeks

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

11 sections covering the complete curriculum — a single, progressive learning arc.

10 weeks

Training Duration

Core Modules

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a CLOUD COMPUTING - AWS role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

11 sections • 77 lessons • 10 weeks

Jump to Section

Total Duration

10 weeks

100% Practical · Unlimited Doubt Sessions

01 Module 1: Introduction to AWS AI Practitioner Certification

• Overview of the AWS Certified AI Practitioner Exam

• Domains, weightage, and question types

• Scoring & passing criteria

• How the exam maps to AI/ML/GenAI job roles

Assignment:

›• Read AWS AIF-C01 Exam Guide and list the domains with percentages
›• Create a personal exam preparation plan

02 Module 2: AI & ML Fundamentals

• Diderence between AI, Machine Learning, Deep Learning

• ML types: Supervised, Unsupervised, Reinforcement Learning

• Common ML concepts: models, training, validation, overfitting

• ML lifecycle: data collection → training → evaluation → deployment

Assignment:

›• Identify 3 real-world examples for each ML type (Supervised, Unsupervised, RL)
›• Short quiz on AI/ML fundamentals

03 Module 3: Generative AI Concepts

• What is Generative AI?

• Large Language Models (LLMs) and Foundation Models

• Prompt engineering basics (temperature, top-p, tokens)

• Risks in GenAI: hallucinations, bias

• Retrieval-Augmented Generation (RAG) basics

• Use cases: chatbots, summarization, image generation

Mini Project:

• Use Amazon Bedrock to generate text from prompts and experiment with

parameters

04 Module 4: AWS AI & ML Services Overview

Foundation Model Services

• Amazon Bedrock (Model invocation, Guardrails, Agents)

• Amazon Q (business data assistant)

ML Development Services

• Amazon SageMaker Studio, Canvas, JumpStart

• SageMaker Ground Truth (labeling)

AI Services

• Amazon Rekognition (image/video analysis)

• Amazon Polly (text-to-speech)

• Amazon Transcribe (speech-to-text)

• Amazon Translate (language translation)

• Amazon Comprehend (NLP)

• Amazon Textract (document processing)

• Amazon Lex (chatbots)

Assignment:

›• Match AWS services to given AI/ML use cases

05 Module 5: Responsible AI & Governance

• Principles: fairness, transparency, explainability

• Guardrails in Amazon Bedrock

• Data privacy in AI workloads

• Ethics and bias mitigation strategies

Mini Project:

• Build a sentiment analysis app using Amazon Comprehend with anonymized data

06 Module 6: Security & Compliance in AI

• AWS Shared Responsibility Model for AI workloads

• IAM roles and policies for AI services

• Encryption and data protection

• Logging and monitoring AI workloads (CloudTrail, CloudWatch)

• Compliance standards: GDPR, HIPAA, SOC

Assignment:

›• Create an IAM policy for an AI developer role

07 Module 7: Integrating AI into Applications

• Using APIs and SDKs for AWS AI services

• Building serverless AI apps (Lambda + AI Services)

• Multi-service integration (e.g., Transcribe + Translate + Polly for multi-language

audio)

Mini Project:

• Create a voice-enabled chatbot using Lex, Polly, and Lambda

08 Module 8: Cost Management for AI/ML

• Pricing models for Bedrock, SageMaker, AI services

• Cost estimation tools (AWS Pricing Calculator)

• Optimizing costs for AI workloads

Assignment:

›• Estimate cost for a SageMaker training job using the pricing calculator
›

09 Module 9: Exam Preparation

• Review key concepts from each domain

• Practice exam sessions (AWS Skill Builder, Tutorials Dojo)

• Time management during the exam

• Analyzing wrong answers

10 Hands-On Projects

1. GenAI Knowledge Base Chatbot (Bedrock + RAG + S3 + Lambda)

2. Image Moderation Pipeline (Rekognition + SNS + S3)

3. Document Automation Workflow (Textract + Comprehend + DynamoDB)

4. AI-powered Voice Assistant (Lex + Polly + Transcribe)

5. No-code ML App (SageMaker Canvas for a prediction use case)

11 Suggested Training Duration (4–6 Weeks)

WeekTopicsDeliverables

AI/ML Fundamentals + GenAI Basics

Assignments + Bedrock Prompt Lab

AWS AI Services Overview

AI service mapping quiz

Responsible AI + Security

Sentiment Analysis Project

Integration & Cost Management

Chatbot or Voice Assistant Project

Capstone Project

Choose from project list

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

77+

Hands-On Lessons

Core Modules

10 weeks

Training Duration

100%

Practical Training

You don't just learn AWS CERTIFIED AI PRACTITIONER. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

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Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

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Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.