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The AWS AI Professional Training Program is a comprehensive, career-focused program designed to prepare learners for high-demand roles in Cloud Computing, Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI).
This program combines foundational cloud knowledge with modern AI capabilities, enabling learners to design, deploy, and manage intelligent applications using Amazon Web Services (AWS).
Students will gain hands-on experience with industry-leading AWS AI services such as Amazon Bedrock, SageMaker, Rekognition, and Comprehend, while building a strong foundation in cloud architecture and AI-driven business solutions.
This program equips you with a powerful combination of Cloud + AI expertise, positioning you at the forefront of today’s most in-demand technology careers. You will gain practical, hands-on experience with real AWS tools while building the confidence to design intelligent, scalable solutions used by modern enterprises.
By completing this program, you will not only prepare for globally recognized AWS certifications but also develop the ability to apply AI in real business scenarios—making you highly valuable in today’s rapidly evolving job market.
(Aligned with AIF-C01)
This program is ideal for individuals who want to build or transition into Cloud and AI-driven careers, including:
Prerequisites
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Role Average Salary
Cloud Engineer $95,000 – $140,000
AI Analyst $85,000 – $115,000
GenAI Specialist $110,000 – $150,000
Solutions Architect $120,000 – $160,000
Yes. This program is designed to start with cloud fundamentals and gradually progress into Artificial Intelligence, Generative AI, and advanced AWS architecture concepts, making it suitable for beginners as well as intermediate learners.
No. This program does not require prior coding experience. The AI Practitioner portion is designed for both technical and non-technical learners, while advanced modules focus more on architecture and design concepts.
The AWS Cloud Practitioner certification focuses on basic cloud concepts, whereas this program goes beyond fundamentals by covering AI, Machine Learning, Generative AI, and advanced cloud architecture, including professional-level design concepts.
Yes. The program includes comprehensive coverage of Generative AI concepts such as Large Language Models (LLMs), prompt engineering, foundation models, and tools like Amazon Bedrock and SageMaker.
Yes. This program includes hands-on labs, real-world scenarios, and practical exercises using AWS services to ensure you gain real implementation experience.
This program prepares you for the following AWS certifications:
Yes. Global IT provides 100% job placement assistance, including resume development, interview preparation, and ongoing career support.
Professionals with Cloud and AI expertise are in demand across multiple industries, including:
This program equips you with a powerful combination of Cloud + Artificial Intelligence + Generative AI skills, which are among the most in-demand competencies today.
You will gain hands-on experience with real AWS tools and learn how to apply AI in practical business scenarios. This enables you to confidently demonstrate your skills in interviews and real-world projects.
By completing this program, you position yourself as a future-ready professional capable of working on modern cloud and AI-driven solutions, giving you a strong competitive advantage.
The AWS AI Professional Training Program is a comprehensive, career-focused program designed to prepare learners for high-demand roles in Cloud Computing, Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI).
This program combines foundational cloud knowledge with modern AI capabilities, enabling learners to design, deploy, and manage intelligent applications using Amazon Web Services (AWS).
Students will gain hands-on experience with industry-leading AWS AI services such as Amazon Bedrock, SageMaker, Rekognition, and Comprehend, while building a strong foundation in cloud architecture and AI-driven business solutions.
This program is ideal for individuals who want to build or transition into Cloud and AI-driven careers, including:
Prerequisites
This program equips you with a powerful combination of Cloud + AI expertise, positioning you at the forefront of today’s most in-demand technology careers. You will gain practical, hands-on experience with real AWS tools while building the confidence to design intelligent, scalable solutions used by modern enterprises.
By completing this program, you will not only prepare for globally recognized AWS certifications but also develop the ability to apply AI in real business scenarios—making you highly valuable in today’s rapidly evolving job market.
(Aligned with AIF-C01)
Role Average Salary
Cloud Engineer $95,000 – $140,000
AI Analyst $85,000 – $115,000
GenAI Specialist $110,000 – $150,000
Solutions Architect $120,000 – $160,000
Yes. This program is designed to start with cloud fundamentals and gradually progress into Artificial Intelligence, Generative AI, and advanced AWS architecture concepts, making it suitable for beginners as well as intermediate learners.
No. This program does not require prior coding experience. The AI Practitioner portion is designed for both technical and non-technical learners, while advanced modules focus more on architecture and design concepts.
The AWS Cloud Practitioner certification focuses on basic cloud concepts, whereas this program goes beyond fundamentals by covering AI, Machine Learning, Generative AI, and advanced cloud architecture, including professional-level design concepts.
Yes. The program includes comprehensive coverage of Generative AI concepts such as Large Language Models (LLMs), prompt engineering, foundation models, and tools like Amazon Bedrock and SageMaker.
Yes. This program includes hands-on labs, real-world scenarios, and practical exercises using AWS services to ensure you gain real implementation experience.
This program prepares you for the following AWS certifications:
Yes. Global IT provides 100% job placement assistance, including resume development, interview preparation, and ongoing career support.
Professionals with Cloud and AI expertise are in demand across multiple industries, including:
This program equips you with a powerful combination of Cloud + Artificial Intelligence + Generative AI skills, which are among the most in-demand competencies today.
You will gain hands-on experience with real AWS tools and learn how to apply AI in practical business scenarios. This enables you to confidently demonstrate your skills in interviews and real-world projects.
By completing this program, you position yourself as a future-ready professional capable of working on modern cloud and AI-driven solutions, giving you a strong competitive advantage.
The AWS AI Professional Training Program is a comprehensive, career-focused program designed to prepare learners for high-demand roles in Cloud Computing, Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI).
This program combines foundational cloud knowledge with modern AI capabilities, enabling learners to design, deploy, and manage intelligent applications using Amazon Web Services (AWS).
Students will gain hands-on experience with industry-leading AWS AI services such as Amazon Bedrock, SageMaker, Rekognition, and Comprehend, while building a strong foundation in cloud architecture and AI-driven business solutions.
.svg)
.svg)
This program equips you with a powerful combination of Cloud + AI expertise, positioning you at the forefront of today’s most in-demand technology careers. You will gain practical, hands-on experience with real AWS tools while building the confidence to design intelligent, scalable solutions used by modern enterprises.
By completing this program, you will not only prepare for globally recognized AWS certifications but also develop the ability to apply AI in real business scenarios—making you highly valuable in today’s rapidly evolving job market.
(Aligned with AIF-C01)
.svg)
This program is ideal for individuals who want to build or transition into Cloud and AI-driven careers, including:
Prerequisites
Role Average Salary
Cloud Engineer $95,000 – $140,000
AI Analyst $85,000 – $115,000
GenAI Specialist $110,000 – $150,000
Solutions Architect $120,000 – $160,000
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Yes. This program is designed to start with cloud fundamentals and gradually progress into Artificial Intelligence, Generative AI, and advanced AWS architecture concepts, making it suitable for beginners as well as intermediate learners.
No. This program does not require prior coding experience. The AI Practitioner portion is designed for both technical and non-technical learners, while advanced modules focus more on architecture and design concepts.
The AWS Cloud Practitioner certification focuses on basic cloud concepts, whereas this program goes beyond fundamentals by covering AI, Machine Learning, Generative AI, and advanced cloud architecture, including professional-level design concepts.
Yes. The program includes comprehensive coverage of Generative AI concepts such as Large Language Models (LLMs), prompt engineering, foundation models, and tools like Amazon Bedrock and SageMaker.
Yes. This program includes hands-on labs, real-world scenarios, and practical exercises using AWS services to ensure you gain real implementation experience.
This program prepares you for the following AWS certifications:
Yes. Global IT provides 100% job placement assistance, including resume development, interview preparation, and ongoing career support.
Professionals with Cloud and AI expertise are in demand across multiple industries, including:
This program equips you with a powerful combination of Cloud + Artificial Intelligence + Generative AI skills, which are among the most in-demand competencies today.
You will gain hands-on experience with real AWS tools and learn how to apply AI in practical business scenarios. This enables you to confidently demonstrate your skills in interviews and real-world projects.
By completing this program, you position yourself as a future-ready professional capable of working on modern cloud and AI-driven solutions, giving you a strong competitive advantage.
Expanded baseline security topics essential for IT support, including physical vs. logical security concepts, malware, and more.
A revised approach to operational procedures, covering basic disaster prevention, recovery, and scripting basics.
A stronger focus on networking and device connectivity
