General Description

It is no secret that artificial intelligence has become one of the most in-demand skills in today’s job market, especially as organizations increasingly adopt intelligent technologies and digital transformation initiatives to improve performance and make more efficient decisions. As a result, many students and professionals are seeking opportunities to enter this field through practical and accessible learning paths.

The AWS Certified AI Practitioner (Foundational) course offered through BeTraining is one of the training programs designed to help learners understand the fundamentals of artificial intelligence, machine learning, and modern cloud services, even without advanced technical experience.

Throughout the course, participants explore AI applications in business, AWS services related to intelligent technologies, and the digital skills that are expected to be increasingly important in the future. In addition, BeTraining provides hands-on training that helps learners prepare for the certification exam and build a strong foundation for pursuing careers in technology and digital transformation with greater confidence. Read on to learn more details.

The Goals

The course begins with an introduction that helps participants understand the importance of artificial intelligence in today’s job market. By the end of the program, learners will be able to:

Understand the fundamental concepts of artificial intelligence and machine learning.
Become familiar with AWS services related to artificial intelligence.
Understand the use of AI in business and digital transformation.
Gain knowledge of modern cloud technologies and their practical applications.
Develop the digital skills required in today’s evolving job market.
Understand the role of AI in improving business efficiency and decision-making.
Explore practical AI applications across various industries.
Build a strong knowledge foundation that supports future growth in artificial intelligence and emerging technologies.

These learning outcomes are designed to combine technical knowledge with practical application, ensuring that participants gain meaningful skills and real-world value upon completing the program.

Target Auidence

The AWS Certified AI Practitioner (Foundational) course is designed for the following audiences:

Students and recent graduates interested in emerging technologies.
Professionals working in technology, IT, and digital transformation fields.
Individuals who want to enter the field of artificial intelligence.
Business owners and managers seeking to understand AI applications and their business value.
Individuals interested in AWS services and cloud technologies.
Anyone looking to enhance their digital skills and stay competitive in the future job market.

The course is designed to accommodate beginners and individuals who want to build a strong foundation in artificial intelligence, without requiring advanced technical experience.

The Features

Be Training offers a range of features that make this course an excellent choice for individuals seeking to enter the world of artificial intelligence and modern technologies with greater confidence:

A globally recognized AWS certification upon completing the course and passing the certification exam.
Flexible, professional online training.
Beginner-friendly training content.
Practical applications aligned with the demands of today’s job market.
Development of technical skills required for digital transformation.
Exposure to AWS services and modern cloud technologies.
Enhanced understanding of AI applications in business environments.
The ability to learn conveniently from anywhere.

These features are designed to help learners build a strong foundation in artificial intelligence, enabling them to advance their careers and keep pace with the rapid changes shaping the digital economy and the future workforce.

Topics

The course content is designed in a practical and engaging manner to help participants understand the core concepts and modern applications of artificial intelligence, with a focus on technologies widely used in today’s workplace and digital transformation initiatives.

Module 1: Introduction to Artificial Intelligence

This module introduces the concept of artificial intelligence and its growing importance across various industries. Participants will explore the evolution of modern AI technologies and their role in supporting organizations, improving operational efficiency, and driving innovation. The module also highlights the impact of AI on the job market and the skills required for success in the digital future.

Module 2: Fundamentals of Machine Learning

This module focuses on the fundamentals of machine learning and its various applications. Participants will learn about different types of machine learning models and how data can be leveraged to develop intelligent solutions. The module also provides a practical and simplified understanding of the relationship between data and AI technologies.

Module 3: Fundamentals of Generative AI

This module introduces Generative AI, a branch of artificial intelligence capable of creating new content such as text, images, and audio. Participants will learn how generative models, including Large Language Models (LLMs), operate and explore their key applications in content creation, data analysis, and customer service. The module also covers the fundamentals of Prompt Engineering to help learners achieve optimal results when working with AI models using AWS tools and services.

Module 4: AWS Artificial Intelligence Services

This module explores key AWS services related to artificial intelligence and modern cloud technologies. Participants will gain an understanding of the role of cloud computing in developing intelligent applications and enhancing organizational performance. The module also introduces the tools and services AWS provides to support AI-powered solutions and digital transformation initiatives.

Module 5: AI Applications in Business

This module examines how artificial intelligence can be used to improve organizational performance and support digital transformation efforts within companies. Participants will explore practical use cases and real-world examples that demonstrate the application of AI across different industries and modern business environments.

Module 6: Cloud Technologies and Digital Transformation

This module focuses on the importance of modern cloud services and their role in driving innovation and digital transformation. Participants will learn about AWS’s contribution to the development of modern technology solutions and build foundational knowledge of digital technologies commonly used in advanced business environments.

Module 7: AI Ethics and Data Security

This module addresses the ethical considerations surrounding artificial intelligence, including user privacy protection and the mitigation of data bias. It also emphasizes the importance of securing data and systems, particularly when handling sensitive information and critical business assets.

In addition, the course includes practical exercises and hands-on activities that help participants better understand technical concepts and connect them to real-world applications in today’s evolving job market.

Learning outcomes

Explain core AI and machine learning concepts
Understand the differences between artificial intelligence, machine learning, deep learning, and generative AI.
Understand generative AI fundamentals
Identify key concepts such as foundation models, large language models, prompts, embeddings, and retrieval-augmented generation.
Identify suitable AI business use cases
Recognize when to apply AI/ML or generative AI to solve business problems such as customer support, content generation, search, automation, and analytics.
Recognize AWS AI and ML services
Understand the high-level purpose of AWS services such as Amazon Bedrock, Amazon SageMaker AI, Amazon Q, and related AI services.
Describe the AI/ML development lifecycle
Understand the stages of AI projects, including problem definition, data preparation, model selection, evaluation, deployment, monitoring, and improvement.
Apply responsible AI principles
Understand fairness, transparency, privacy, bias reduction, risk management, and responsible use of AI technologies.
Understand AI security, governance, and compliance on AWS
Identify core security concepts such as the AWS shared responsibility model, IAM, data protection, and compliance controls. AWS recommends familiarity with core AWS services, the shared responsibility model, IAM, and AWS pricing models for this certification.
Prepare for the AWS Certified AI Practitioner exam
Practice exam-style questions, including multiple choice, multiple response, ordering, and matching questions. AWS states that the exam includes 50 scored questions and 15 unscored questions.

Requirements And Conditions

No advanced programming or technical background is required, as this is a foundational-level certification. However, learners are encouraged to have:

Basic understanding of cloud computing.
Basic awareness of core AWS services such as Amazon EC2, Amazon S3, and AWS Lambda.
General familiarity with AI concepts and business applications.
Ability to understand basic technical terms in English.

AWS describes the target candidate as someone with up to 6 months of exposure to AI/ML technologies on AWS, who uses but does not necessarily build AI/ML solutions.

Technical Requirements

Laptop or desktop computer.
Stable internet connection.
AWS account for optional hands-on practice.
AWS Skill Builder or AWS Training account when required.
Active email address for registration and communication.

Exam Requirements

Create an AWS Certification account.
Schedule the exam through Pearson VUE.
Choose either a testing center or online proctored exam. AWS Certification exams are delivered globally through Pearson VUE with both testing center and online proctoring options.
Provide valid identification according to AWS/Pearson VUE policies.
Select the preferred exam language; Arabic and English are both supported for this exam.

FAQs

توفر منصة كن للتدريب BeTraining برنامجًا تدريبيًا متكاملًا يهدف إلى تأهيل المتدرب لاجتياز اختبار شهادة ممارس الذكاء الاصطناعي المعتمد من AWS، حيث يساعد على فهم محاور الاختبار بشكل واضح، والتعرف على نمط الأسئلة وطبيعتها. كما يساهم التدريب في تعزيز مستوى الجاهزية لدى المتدرب، مما يمكنه من دخول الاختبار بثقة وتحقيق أفضل النتائج.