Generative AI Essentials on AWS

  • <span style="color:#5f0404">Transforming process orchestration</span>
    Transforming process orchestration

    Embrace AI to reduce costs, mitigate risks,
    and enhance customer satisfaction

  • <span style="color:#bbbfa7" >Practical Hands on Labs.</span>
    Practical Hands on Labs.

    7 labs with hands on experience; practicing real challenging exercises
    independently and supervised by an Amazon Authorized Instructor (AAI)

  • <span style="color:#002d64" >Enabling your business .</span>
    Enabling your business .

    By leveraging AWS vast selection of services,
    you can enable your business by architecting reliable, scalable,
    secure platform for your business

  • <span style="color:#eaffff" >Live Demos! .</span>
    Live Demos! .

    With visual view of how the concepts can be realized using live data
    and live practices by the instructor.
    Thanks to the training Kata where the instructor leads and students
    follow instructions step by step

  • <span style="color:#677f81">Earn your recognition .</span>
    Earn your recognition .

    Earn your industry most valuable certification in the industry.
    Advance your career with confidence

AWS-10117

Architecting is an art within AWS, with this 3 days course, full of action and hands on labs, you will earn the industry recognition and appreciation to your newly acquired skills.

Advance in your career with confidence and gift your business the success they deserve.

Overivew

In this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems. By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization.

Prerequisites

Knowledge

Students to this class are expected to have:

  • Good understanding Cloud Computing Basics or
  • Completed AWS Cloud Practitioner Essentials, or
  • Completed AWS Technical Essentials
  • Basic knowledge of
    • Networking and Security
    • Authentication and Authorization
    • Containers and Microservices Architectures
  • Basic understanding of computer operations skills :such as managing files

Technology

Depending on the delivery method of this course, the students should have :

  • A Workstation with Internet browser capability such as (Chrome, Edge, or Safari)
  • Good persistent internet connection without blocking firewalls(ideally non corporate firewall protected workstations)

The Labs

Labs are provided throughout the course and extended for a 1 month period, students can practice the labs for unlimited times.

Labs covered in this course:

  • Lab 1: Explore and interact with the AWS Management Console and AWS Command Line Interface
  • Lab 2: Build your Amazon VPC infrastructure
  • Lab 3: Create a database layer in your Amazon VPC infrastructure
  • Lab 4: Configure high availability in your Amazon VPC
  • Lab 5: Build a serverless architecture
  • Lab 6: Configure an Amazon CloudFront distribution with an Amazon S3 origin
  • Lab 7: Capstone Lab: Build an AWS multi-tier architecture

Objectives

Students who completed this course, should build the skills and knowledge that allows them to

  • Summarize generative AI concepts, methods, and strategies
  • Discuss the appropriate use of generative AI and machine learning and their technologies
  • Describe how to use generative AI responsibly and safely
  • Recognize the types of generative AI solutions with specific use cases
  • Explain implementation and project planning of generative AI to your organization

Audience

This course is designed to assist and equip the students with the skills and knowledge that allows them to perfect their daily tasks with respect to operationalize the Genrative AI on AWS with confidence and capitalize the organization investment on business operation reliability.

  • Business analysts: to better understand how to leverage  .AWS Cloud Services to enable the business.
  • IT supports: To focus on maximizing Site Operation reliability, scalability, and incident response, with Automation and resilient.
  • Marketing professionals: to design better networking platform that is secure with right capacity.
  • Product or project managers: Learn the options on how they can master their development environment with the right tools with maximizing productivity
  • Line-of-business or IT managers: Master the art of monitoring and alerting in complex world of thousands of IT assets and respond quickly with automation.
  • Sales professionals: Learn the different techniques and strategies on how to migrate existing platform from on-premise or another cloud to AWS.

Timeline

The Generative AI Essentials on AWS official AWS Course is a 1 day course presented by AWS, includes lectures, demos, and labs.

The following is guidelines for the instructor to organize the time pace with the students, subject to change based on students preference.

Breaks during the day follows the 106 rule, every 45-60m 

*the 106 rule, indicates the human memory capacity to learn the new factual elements which is 106 facts before the memory could be reused.

Course Curriculum

Module 1: Introducing Generative AI

Module 2: Exploring Generative AI Use Cases

Module 3: Essentials of Prompt Engineering

Module 4: Responsible AI Principles and Considerations

Module 5: Security, Governance, and Compliance

Module 6: Implementing Generative AI Projects

Module 7: Integrating Generative AI into the Development Lifecycle

Course Wrap-up

Calendar

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