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LinkedIn Learning

Advance Your AWS Development Skills: Exploring Complex Application Development

via LinkedIn Learning Path

Overview

The courses in this learning path help you acquire skills to apply AWS services to application development. Learn development principles to build stronger and more secure apps, pair the power of serverless architecture with AWS AI services, and compare and select the right database options for your workloads. This learning path is intended for IT professionals with an existing understanding of cloud computing and fundamental development skills.
  • Compare and select AWS database services for your workloads.
  • Apply AI services to automate code generation.
  • Manage and troubleshoot tasks using the AWS CLI.

Syllabus

Courses under this program:
Course 1: AWS Essential Training for Developers
-Learn about cloud computing fundamentals and what services are offered in AWS, and how to set up and migrate to AWS, so you can be prepared for the AWS Cloud Practitioner Certification (CLF-C02) exam.

Course 2: Introduction to AWS AI Services for Developers
-Explore the set of AI-assisted development tools released by Amazon Web Services, including CodeWhisperer, CodeGuru Security, and CodeGuru Profiler.

Course 3: AWS for Developers: CLI Tips
-Learn tips on how to use the command line interface in AWS to manage common tasks.

Course 4: AWS Security Best Practices for Developers
-Create stronger, more secure applications for AWS deployment. Learn security best practices for Identity and Access Management, S3 storage, Key Management Service (KMS), and more.

Course 5: Building Serverless Apps with AI Services on AWS
-Learn how to build a serverless application that can transcribe video, translate subtitles, and generate a title and video description using generative AI.

Course 6: Building Intelligent Chatbots on AWS
-Learn how to develop, build, and deploy a chatbot using Amazon Lex.

Courses

Taught by

Jeremy Villeneuve, Rishab Kumar, Carlos Rivas, Marcia Villalba and Bear Cahill

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