Overview
This bundle combines the three recommended ILT courses for the AWS Certified AI Practitioner certification into one easy to purchase SKU. Purchasing this bundle earns you 25% off the total price of the three courses and a free exam voucher (valued at $100).
This bundle includes:
Who should attend
The ideal candidate for this exam is familiar with AI/ML technologies on AWS and uses, but does not necessarily build AI/ML solutions on AWS.
Prerequisites
We recommend that individuals have basic business and IT technical knowledge however no formal prerequisites are in place.
Outline
AWS Cloud Practitioner Essentials
Module 1: Introduction to Amazon Web Services
- Summarize the benefits of AWS
- Describe differences between on-demand delivery and cloud deployments
- Summarize the pay-as-you-go pricing model
Module 2: Compute in the Cloud
- Describe the benefits of Amazon Elastic Compute Cloud (Amazon EC2) at a basic level
- Identify the different Amazon EC2 instance types
- Differentiate between the various billing options for Amazon EC2
- Describe the benefits of Amazon EC2 Auto Scaling
- Summarize the benefits of Elastic Load Balancing
- Give an example of the uses for Elastic Load Balancing
- Summarize the differences between Amazon Simple Notification Service (Amazon SNS) and
- Amazon Simple Queue Services (Amazon SQS)
- Summarize additional AWS compute options
Module 3: Global Infrastructure and Reliability
- Summarize the benefits of the AWS Global Infrastructure
- Describe the basic concept of Availability Zones
- Describe the benefits of Amazon CloudFront and Edge locations
- Compare different methods for provisioning AWS services
Module 4: Networking
- Describe the basic concepts of networking
- Describe the difference between public and private networking resources
- Explain a virtual private gateway using a real life scenario
- Explain a virtual private network (VPN) using a real life scenario
- Describe the benefit of AWS Direct Connect
- Describe the benefit of hybrid deployments
- Describe the layers of security used in an IT strategy
- Describe which services are used to interact with the AWS global network
Module 5: Storage and Databases
- Summarize the basic concept of storage and databases
- Describe benefits of Amazon Elastic Block Store (Amazon EBS)
- Describe benefits of Amazon Simple Storage Service (Amazon S3)
- Describe the benefits of Amazon Elastic File System (Amazon EFS)
- Summarize various storage solutions
- Describe the benefits of Amazon Relational Database Service (Amazon RDS)
- Describe the benefits of Amazon DynamoDB
- Summarize various database services
Module 6: Security
- Explain the benefits of the shared responsibility model
- Describe multi-factor authentication (MFA)
- Differentiate between the AWS Identity and Access Management (IAM) security levels
- Describe security policies at a basic level
- Explain the benefits of AWS Organizations
- Summarize the benefits of compliance with AWS
- Explain primary AWS security services at a basic level
Module 7: Monitoring and Analytics
- Summarize approaches to monitoring your AWS environment
- Describe the benefits of Amazon CloudWatch
- Describe the benefits of AWS CloudTrail
- Describe the benefits of AWS Trusted Advisor
AWS Technical Essentials
Module 1: Introduction to Amazon Web Services
- Introduction to AWS Cloud
- Security in the AWS Cloud
- Hosting the employee directory application in AWS
- Hands-On Lab: Introduction to AWS Identity and Access Management (IAM)
Module 2: AWS Compute
- Compute as a service in AWS
- Introduction to Amazon Elastic Compute Cloud
- Amazon EC2 instance lifecycle
- AWS container services
- What is serverless?
- Introduction to AWS Lambda
- Choose the right compute service
- Hands-On Lab: Launch the Employee Directory Application on Amazon EC2
Module 3: AWS Networking
- Networking in AWS
- Introduction to Amazon Virtual Private Cloud (Amazon VPC)
- Amazon VPC routing
- Amazon VPC security
- Hands-On Lab: Create a VPC and Relaunch the Corporate Directory Application in Amazon EC2
Module 4: AWS Storage
- AWS storage types
- Amazon EC2 instance storage and Amazon Elastic Block Store (Amazon EBS)
- Object storage with Amazon S3
- Choose the right storage service
- Hands-On Lab: Create an Amazon S3 Bucket
Module 5: Databases
- Explore databases in AWS
- Amazon Relational Database Service
- Purpose-built databases
- Introduction to Amazon DynamoDB
- Choose the right AWS database service
- Hands-On Lab: Implement and manage Amazon DynamoDB
Module 6: Monitoring, Optimization, and Serverless
- Monitoring
- Optimization
- Alternate serverless employee directory application architecture
- Hands-On Lab: Configure High Availability for Your Application
Generative AI Essentials
Module 1: Responsible AI Foundations
- AI evolution: from traditional to generative
- Eight dimensions of responsible AI
- AWS commitment to responsible AI
Module 2: Introducing Generative AI
- Generative AI Foundation
- Foundation models and embeddings deep dive
- Amazon Bedrock and Amazon Nova 2 models
- Comparing models
Module 3: Multi-Modal AI and use cases
- Multimodal AI capabilities
- Industry applications and use cases
- Use case evaluation framework
Module 4: Essentials of prompt engineering
- Prompt engineering fundamentals
- Prompting strategies
- Prompt security and attach vectors
- Lab 1 - Optimizing Slogan Generation with Amazon Bedrock
Module 5: Implementing responsible AI with Amazon Bedrock Guardrails
- Amazon Bedrock guardrails overview and configuration
- Lab 2 - Implementing Responsible AI Principles with Amazon Bedrock Guardrails
Module 6: Introduction to Amazon Agents
- Agentic AI concepts
- Amazon Bedrock capabilities
- Amazon Bedrock AgentCore overview
- RAG and Knowledge Bases
Module 7: Introduction to Security, Governance, and Compliance
- From security principles to organizational accountability
- Governance frameworks
- Compliance requirements
Module 8: Implementing generative AI projects
- Project planning fundamentals
- Lab 3: Building an HR Assistant with Amazon Bedrock