AWS AI Practitioner Certification Prep
About this course
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.
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What you'll learn
- Set up and configure core AWS services including EC2, networking, databases, and security controls
- Apply machine learning fundamentals including feature engineering and model training concepts
- Work with generative AI models using Amazon Bedrock and Amazon Q
- Design and optimize prompts and tune hyperparameters for generative models
- Implement responsible AI practices including ethical principles, data encryption, and IAM policies
- Build secure chatbots and evaluate generative model performance
- Apply MLOps principles and governance frameworks to AI systems
Course objectives
- Prepare for the AWS AI Practitioner certification exam
- Develop job-ready skills for AI practitioner, generative AI engineer, or ML support engineer roles
- Gain hands-on experience with AWS AI services and tools
- Understand and apply responsible AI practices in production systems
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