The AWS Certified AI Practitioner Specialization is meant for those who desire to establish a solid base in Artificial Intelligence (AI) and Machine Learning (ML) and have the ability to utilize AWS cloud services.
This specialization is aligned with the AWS AI Practitioner Certification exam and offers a broad understanding of AI concepts, generative AI, foundation models, responsible AI practices, and AI security. The specialization follows a structured approach to enable learners to design, implement, and optimize AI-powered solutions on AWS.
The AWS AI practitioner training specialization covers key AI topics such as machine learning models, Natural Language Processing (NLP), computer vision, deep learning, and AI model deployment. Learners will also explore AWS AI services, including Amazon Bedrock, Amazon SageMaker, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition, among others.
Through engaging videos, examples, hands-on demos, and feedback-driven quizzes, this specialization ensures practical application and readiness for the AI Practitioner AWS certification exam.
Applied Learning Project
The specialization contains 20+ demos, giving you step by step details on how to work with different AWS Services. Specialization has some AWS basics also covered where you will learn how to work with EC2, S3 and Lambda. Then there will be specific demos for AWS AI services like - Amazon SageMaker , Bedrock and how to fine-Tune Bedrock Model, Prompt Engineering Techniques, Working with Prompt Optimization, Amazon Q, Amazon Transcribe, Amazon Translate, Simplifying Text Analysis with Comprehend, Amazon Polly, Amazon Lex, Rekognition, Textract, Amazon Guardrail, and Augmented AI (A2I). Towards the end, we will be covering security related demos covering - Creating IAM User, Enabling MFA and Creating Access Keys, Creating Policies with IAM, and Create and Assign Roles with IAM.
So you will gain hands-on experience of lot of AWS AI services during this specialization.
