Developing Generative AI Applications AWS
Instructor-led AWS-aligned training in Developing Generative AI Applications AWS. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
In the Developing Generative AI Applications on AWS course, you'll explore the powerful tools and services offered by Amazon Web Services to create innovative AI applications. This course is essential for developers looking to leverage generative AI capabilities to enhance their projects and drive business value.
What you'll learn
- You will be able to design and implement generative AI solutions using AWS services.
- You will be able to utilize Amazon SageMaker for building, training, and deploying machine learning models.
- You will be able to integrate AWS Lambda for serverless application development.
- You will be able to apply AWS tools to preprocess and manage data effectively for AI applications.
- You will be able to evaluate and optimize model performance in a cloud environment.
- You will be able to implement security best practices for AI applications on AWS.
- You will be able to deploy and monitor generative AI applications in a production environment.
Curriculum
7 modules · outline is indicative and can be tailored to your team.
1Introduction to Generative AI
- Understanding generative AI concepts and applications
- Overview of AWS AI and ML services
- Setting up your AWS environment for development
2AWS SageMaker Fundamentals
- Navigating the SageMaker console
- Creating and managing machine learning notebooks
- Training models using built-in algorithms
3Data Preparation and Management
- Using AWS Glue for data transformation
- Implementing data lakes with Amazon S3
- Data labeling and preprocessing techniques
4Building and Training Models
- Custom model training with SageMaker
- Hyperparameter tuning and optimization
- Utilizing pre-trained models and transfer learning
5Deploying AI Applications
- Deploying models with SageMaker endpoints
- Creating serverless applications using AWS Lambda
- Integrating APIs for real-time predictions
6Monitoring and Maintenance
- Setting up monitoring for AI applications
- Implementing logging and debugging strategies
- Best practices for maintaining model performance
7Security and Compliance
- Understanding AWS security features for AI
- Implementing IAM roles and permissions
- Compliance considerations for AI applications
Prerequisites
Some familiarity with cloud computing concepts is recommended.
Who should attend
This course is ideal for developers and data scientists looking to enhance their skills in generative AI on AWS.
Certification
Prepares you for the official AWS certification exam.
Skilvi is an independent training provider and is not affiliated with, or endorsed by, AWS. Trademarks are the property of their respective owners.
Frequently asked questions
What is the format of the course?
The course is delivered instructor-led and live online, allowing for real-time interaction.
How long is the course?
The course duration is 24 hours, typically spread over several weeks.
Will I receive a certificate upon completion?
Yes, you will receive an Skilvi course-completion certificate.
Are exam vouchers included in the course?
Exam vouchers are available through authorized channels on request.
Do I need prior experience with AWS?
No prior experience required, but familiarity with cloud concepts is beneficial.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
- Exam voucher on request
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