Overview
Practice and reinforce core concepts of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI on AWS, Strengthen your understanding of AI ethics, responsible AI, and governance in cloud environments, Understand key AWS AI/ML services like Amazon SageMaker, Rekognition, Comprehend, and Lex, Prepare for the next step: AWS Certified Machine Learning – Specialty Certification
Beginners looking to validate foundational AI/ML knowledge on AWS, AWS users who want to understand AI services without needing to develop solutions, Anyone considering a future in AI/ML or cloud computing and needing a strong starting point
Basic understanding of cloud computing concepts (AWS Cloud Practitioner knowledge is helpful but not required), An interest in learning how AI and ML are applied in real-world scenarios using AWS
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly evolving fields that have transformed how businesses operate and deliver value. AI refers to the simulation of human intelligence by machines, enabling them to perform tasks such as decision-making, pattern recognition, and language understanding. ML, a subset of AI, enables machines to learn from data without being explicitly programmed. This learning process allows algorithms to improve over time and make more accurate predictions.
The increasing reliance on AI and ML technologies has created a demand for professionals skilled in these domains. Whether applied in healthcare, finance, customer service, or any other industry, AI and ML are integral to unlocking new possibilities and solving complex problems. To address this growing need for expertise, Amazon Web Services (AWS) offers various services designed to help organizations leverage AI and ML at scale.
The AWS Certified AI Practitioner certification is designed to validate the fundamental knowledge and skills required to work with AWS AI/ML technologies. This certification is ideal for individuals who want to understand how AI and ML technologies work, including those who do not necessarily develop solutions but want to effectively apply and manage these technologies.
Purpose of AWS Certified AI Practitioner Certification
The AWS Certified AI Practitioner certification is intended for individuals who want to gain foundational knowledge of AI, ML, and generative AI concepts and their use cases on the AWS platform. This certification offers a broad understanding of how AI/ML services operate within AWS, including basic data preparation, model training, deployment, and AI ethics.
Key Objectives
Provide a fundamental understanding of AI, ML, and generative AI concepts.
Enable learners to identify and understand the use cases for AI and ML in various industries.
Offer insights into responsible AI practices, including ethical considerations, security, and compliance.
Equip candidates with the necessary knowledge to interact with and manage AWS AI/ML services such as Amazon SageMaker, Amazon Rekognition, Amazon Lex, and Amazon Comprehend.
The AWS Certified AI Practitioner certification serves as a stepping stone for more advanced certifications, such as the AWS Certified Machine Learning – Specialty certification, for those seeking deeper expertise.
Who Should Take the AWS Certified AI Practitioner Certification?
This certification is aimed at individuals who use AWS services but do not necessarily need to develop AI/ML solutions. It is also suited for professionals who want to understand how to apply AI/ML concepts, make informed decisions, and work with AI technologies in a non-technical or semi-technical capacity.
Sehriyyar Khan
Sehriyyar Khan is a skilled Technical Content Creator with a strong background in Telecommunication Engineering, holding a Bachelor's degree from Sir Syed University of Engineering & Technology. He graduated top of his class and was awarded two prestigious Gold Medals — one from the university and another from the Institution of Engineers Pakistan (IEP) — in recognition of his academic excellence.
Over the years, Sehriyyar has worked on several AI and Deep Learning projects, contributing to innovative solutions across diverse domains. He possesses hands-on expertise in leading cloud platforms including AWS, Azure, and Google Cloud Platform (GCP), and holds multiple high-level industry certifications in networking and security such as CCNA, CCNP, CCIE (in multiple domains), CISSP, CISA, CISM, CRISC, and ISO/IEC 27001 Lead Auditor.
His professional experience includes collaboration with global telecom operators and enterprise service providers, assisting them in the architecture and deployment of large-scale technology infrastructures. He specializes in aligning technology with business needs to drive efficiency and innovation.
Sehriyyar is also a passionate mentor. Many of his students have gone on to successfully earn certifications like CompTIA Network+, Security+, ISC2 CC, CEH, CHFI, CSA, and CND under his guidance.
PROFESSIONAL CERTIFICATIONS:
CHFI - Computer Hacking Forensic Investigator
CSA - Certified SOC Analyst
Cisco Certified Network Professional CCNP (Routing & Switching)
Cisco Certified Network Associate CCNA (Routing & Switching)
Cisco Certified Network Professional CCNP (Security)
Cisco Certified Network Associate CCNA (Security)
Fortinet NSE1, NSE2, NSE3, NSE4, NSE5, NSE6 and NSE7
ECIH - EC-Council Certified Incident handler