Build a strong foundation in Generative AI with AWS Certified AI Practitioner credential.

Learn how Generative AI is transforming the way organizations create content, improve productivity, and solve business challenges. Develop a practical understanding of Generative AI concepts, business applications, responsible AI practices, and how AWS services can help organizations adopt AI with confidence.

  • Why get trained: Gain a clear understanding of Generative AI capabilities, business use cases, and how AI can create value across different functions and industries.
  • Why it matters: Organizations are rapidly exploring Generative AI to improve efficiency, enhance customer experiences, accelerate innovation, and support better decision-making.
  • Who should attend: Business leaders, managers, executives, project managers, business analysts, product owners, sales professionals, marketing professionals, and anyone seeking a practical understanding of Generative AI.

Start building AI literacy and identify opportunities to create business value with Generative AI on AWS. HRD Corp Claimable

Top AWS Skills for Malaysia’s Digital Future Campaign: RM300 Off for upcoming Q2 and Q3 2026 intakes.

Overview

In this course, you will:

  • Learn fundamental concepts, techniques, and strategies for generative AI
  • Gain insight into real-world use cases where generative AI can solve business challenges
  • Explore practical technologies and architectures behind generative AI, and how to apply them in real settings
  • Develop skills in project planning, implementation, and organizational adoption of generative AI

By the end of this course, you will be able to:

  • Discuss how generative AI can be integrated into your organization’s initiatives
  • Define a project roadmap with clear steps and stakeholder alignment
  • Evaluate responsible AI principles, security risks, and governance in generative systems

Stay ahead in Malaysia’s digital economy: global tech leaders are investing billions in cloud, AI, and data, and demand for certified Data & AI professionals is rising rapidly. Get certified and positioned as the candidate organizations seek.

Skills Covered

In this course, you will learn to:

  • Summarize generative AI concepts, methods, and strategies
  • Discuss the appropriate use of generative AI and machine learning and their technologies
  • Describe how to use generative AI responsibly and safely
  • Recognize the types of generative AI solutions with specific use cases
  • Explain implementation and project planning of generative AI to your organization

Prerequisites

None.

Target Audience

This course is intended for those with limited prior knowledge of generative AI:

  • Business analyst
  • IT support
  • Marketing professional
  • Product or project manager
  • Line-of-business or IT manager
  • Sales professionals

Course Curriculum

Module 1: Introducing Generative AI

  • Generative AI explained
  • Foundation models
  • AWS generative AI services

Module 2: Exploring Generative AI Use Cases

  • Identify suitable use cases
  • Generative AI applications and use cases
  • Explore generative AI use case scenarios
  • Use case for class

Module 3: Essentials of Prompt Engineering

  • Introduction of prompt engineering
  • Prompt design best practices
  • Advanced prompting strategies
  • Model settings and parameters
  • Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock

Module 4: Responsible AI Principles and Considerations

  • Introduction to responsible AI
  • Core dimensions of responsible AI
  • Generative AI considerations
  • Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails

Module 5: Security, Governance, and Compliance

  • Security overview
  • Adverse prompts
  • Generative AI security services
  • Governance
  • Compliance

Module 6: Implementing Generative AI Projects

  • Introduction – Generative AI application
  • Define a use case
  • Select a foundational model
  • Improve performance
  • Evaluate results
  • Deploy the application
  • Amazon Q Business (guided demo)

Module 7: Integrating Generative AI into the Development Lifecycle

  • Introduction
  • Hands-on Lab: Capstone – Creating a Project Plan with Generative AI

Module 8: Course Wrap-up

  • Next steps and additional resources
  • Course summary

Dates & Locations

Let’s make it work for you

Can’t find a date that fits? Need to train your whole team? Looking for a discount?
Speak to one of our learning experts today.

July 14, 2026 - July 14, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 225
PROMO

July 14, 2026 - July 14, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 225
PROMO

August 4, 2026 - August 4, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 225
PROMO

August 4, 2026 - August 4, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 225
PROMO

September 8, 2026 - September 8, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 225
PROMO

September 8, 2026 - September 8, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 225
PROMO

October 6, 2026 - October 6, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 225

October 6, 2026 - October 6, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 225

November 17, 2026 - November 17, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 225

November 17, 2026 - November 17, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 225

December 8, 2026 - December 8, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 225

December 8, 2026 - December 8, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 225
Trainocate exam and cert

Exam & Certification

AWS Certified AI Practitioner.

Unlock new career possibilities with this AI certification. AWS Certified AI Practitioner validates in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases. Sharpen your competitive edge and position yourself for career growth and higher earnings.

Who should earn AWS Certified AI Practitioner?

If you are new to IT and AWS Cloud, you should first start with AWS Cloud Practitioner Essentials or AWS Technical Essentials.

Certified individuals holding the AWS Certified Cloud Practitioner or an Associate-level AWS Certification do not need to take the foundational cloud courses.

Training & Certification Guide

The exam assesses your ability to map business problems to correct AI solutions and execute them responsibly. 
  • Format: 65 questions (Multiple-choice or multiple-response).
  • Time Limit: 100 minutes.
  • Cost: $100 USD.
  • Passing Score: Scaled score of 700 out of 1,000.
  • Validity: 3 years
The exam covers five core subjects, with the heaviest emphasis placed on Generative AI and foundational model integration: 
  • Domain 1: Fundamentals of AI and ML (20%) – Core concepts like supervised/unsupervised learning, regression vs. classification, and data types (labeled vs. unlabeled). 
  • Domain 2: Fundamentals of GenAI (24%) – Mechanisms of generative models, prompt engineering, tokens, and vector embeddings. 
  • Domain 3: Applications of Foundation Models (28%) – Business applications using core tools like Amazon Bedrock, tuning strategies (Fine-tuning, Retrieval-Augmented Generation / RAG), and Amazon SageMaker. 
  • Domain 4: Guidelines for Responsible AI (14%) – Concepts of fairness, accountability, transparency, and eliminating bias in AI. 
  • Domain 5: Security, Compliance, and Governance (14%) – Securing AI workloads, data privacy laws, governance, and the AWS Shared Responsibility Model.
This certification is tailor-made for beginners, business professionals, and non-technical stakeholders. 
  • Ideal Roles: Business analysts, project managers, marketing/sales professionals, and IT support staff. 
  • Prerequisites: No programming or data engineering background is required. Up to 6 months of light exposure to the AWS console is recommended. 
  • What is OUT of Scope: You will not be tested on writing code, training complex algorithms from scratch, hyperparameter tuning, or constructing complex data pipelines.

AWS Certified AI Practitioner
Exam Code : AIF-C01
Duration : 90 Minutes
Exam Format : 65 MCQs
Cost : USD 100

Frequently Asked Questions

Certified individuals holding the AWS Certified Cloud Practitioner or an Associate-level AWS Certification do not need to take the foundational cloud courses and can start with free AI foundational training also included in the Exam Prep Plans.

Per a November 2023 AWS study, Employers are willing to pay 43% more to hire AI-skilled workers in sales, marketing, 42% more for those in finance, 41% more for business operations, and 47% more for IT professionals.

Speak to a Training Consultant

All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631

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