Learning Paths for Technical Professionals

AI on AWS: LLMs, Foundational Models, & Agents

This starter learning path covers GenAI on AWS, including the AWS Certified AI Practitioner Certification, Amazon Q Developer, Amazon Bedrock, multi-agent application development, and Amazon SageMaker AI. Learners gain hands-on experience with AWS managed AI services, prompt engineering, RAG, fine-tuning, vector databases, MLOps, and building and deploying generative AI solutions using industry-leading AWS tools and frameworks.

Skills:

AWS GenAI service proficiency (Bedrock, Q Developer, SageMaker)

Prompt engineering and optimization

Retrieval-augmented generation (RAG)

Multi-agent AI application development

AI model fine-tuning and evaluation

Vector database integration

MLOps and responsible AI practices

AWS security, compliance, and governance

Infrastructure as code (CDK, CloudFormation, Terraform)

Hands-on experience with AWS managed AI services

Learning objectives

  1. Develop proficiency in AWS GenAI services: Gain hands-on experience with Amazon Bedrock, Amazon Q Developer, and SageMaker to build, deploy, and manage generative AI applications.
  2. Master prompt engineering and RAG: Learn to optimize prompt performance, implement retrieval-augmented generation, and leverage knowledge bases for advanced AI solutions.
  3. Build and deploy multi-agent AI applications: Design, implement, and integrate AI agents using Amazon Bedrock Agents and CrewAI for real-world business use cases.
  4. Understand AWS AI/ML ecosystem and security: Explore AWS managed AI services, foundational models, MLOps, compliance, governance, and security best practices for responsible AI deployment.
  5. Prepare for AWS AI certification: Acquire the knowledge and practical skills necessary to pass the AWS Certified AI Practitioner exam and advance your career in cloud-based AI.

Target audience

This path is designed for developers, data scientists, cloud engineers, and IT professionals seeking to master generative AI on AWS. It is ideal for those preparing for AWS AI certifications or looking to build, deploy, and manage AI-powered applications using AWS services. Prior experience with Python, cloud computing, or basic AI concepts is helpful but not required.

Make AI your ally with an AI Starter Path