Step into the world of Artificial Intelligence on AWS with a specialization designed to take you from cloud foundations to responsible, production-ready AI systems. The AWS AI Practitioner prep Specialization is ideal for students, IT professionals, cloud engineers, data analysts, and aspiring AI practitioners—no prior AI experiencerequired, just curiosity and ambition.
You’ll begin with the basics of AWS, including EC2, networking, databases, andsecurity. Then check out the very basics of AI, Machine Learning, Feature Engineering, NLP, Deep Learning, and AWS Data Wrangler. The course goes deep into Generative AI, discussing models, prompt engineering, hyperparameters, Amazon Q, Amazon Bedrock, and model training and evaluation.
What’s unique about this AWS Certified AI practitioner prep specialization is that it focuses on Responsible AI and educates around ethical principles, legal risks, MLOps, data encryption, IAM policies, and governance. With hands-on projects like developing secure chatbots and testing generative models, you’ll develop job-ready skills.
By the end, you’ll be prepared for roles such as AI Practitioner, GenAI Engineer, or ML Support Engineer, with excellent job prospects and career growth in the AWS AI ecosystem.
Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.
应用的学习项目
As part of the AWS AI Practitioner Training specialization, you will work on real-life AWS and AI projects through a series of hands-on demos, such as:
Creating and configuring an AWS account
Launching, connecting to, and choosing the right EC2 instances
Creating S3 buckets and building Lambda functions
Exploring AWS AI services and Amazon SageMaker
Working with Generative AI using Amazon Bedrock and Amazon Q
Applying prompt engineering and prompt optimization techniques
Fine-tuning foundation models, Responsible AI with Guardrails, and Augmented AI
Setting up IAM users, roles, policies, MFA, and secure access controls
Leveraging AI services such as Transcribe, Translate, Comprehend, Polly, Lex Rekognition, and Textract
By the end, you’ll be familiar with how to build, secure, and manage AI-based solutions on AWS.
