AWS AI Certification Course

With the help of Eduprime’s AWS AI certification course, unleash the promise of AI. Learn about the useful uses of AWS Generative AI services in fields including text summarization, media, and entertainment. This course gives you the newest skills and was created by industry experts to meet current industry standards. Advance your career by utilizing AWS’s generative AI capabilities. Become a part of the world revolution now!

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Overview

In order to build and deploy your AI-powered applications on AWS, this certification program helps you learn the basics of AI, the potential of Generative AI, and how to use Amazon Bedrock, a managed AWS service for Generative AI, to streamline development processes. Learn how to use Amazon Bedrock, CodeWhisperer, and related services to create real-world applications like text summarization solutions and media and entertainment tools, and become an expert in creating real-world applications using cloud-based solutions for Generative AI.

Why take up this AWS AI Certification Training Course?

Enrolling in the AWS AI Training Course provides learners with the knowledge and practical skills to become proficient in Generative AI with AWS, unlocking the potential to build and deploy innovative solutions across various industries.

Who should take up this AWS AI Certification Training Course?

This AWS AI certification course is for both technical and non-technical learners. Whether a developer or engineer seeking to master AI applications on the cloud or an AI enthusiast eager to turn their passion into practical skills. Learners with knowledge of AWS can upgrade their skills by building Generative AI solutions on the AWS platform.

Our Package

Introduction to Generative AI and LLMs
  • What is Generative AI and its Use Cases
  • How Generative AI Works – Basic Concepts and Terminology
  • Service Offerings in Generative AI from AWS
  • Large-Language Foundation Models
  • Tokenizers
  • Embedding Vector
  • Transformer Architecture
  • Types of Transformer-Based Foundation Models
  • Pretraining Datasets
  • Scaling Laws
  • Compute-Optimal Models
  • Prompts and Completions
  • Tokens
  • Prompt Engineering
  • Prompt Structure
  • In-Context Learning with Few-Shot Inference
  • Prompt-Engineering Best Practices
  • Inference Configuration Parameters
  • Machine Learning on AWS cloud platform
  • Amazon SageMaker
Building Generative AI Application using Amazon Bedrock and CodeWhisperer
  • Introduction to Amazon Bedrock
  • How does Amazon Bedrock empower generative AI development?
  • Key benefits of using Amazon Bedrock for building generative applications.
  • Use cases for generative AI across various industries.
  • Architecture of Amazon Bedrock
  • Scalability of the Bedrock service
  • Amazon Bedrock – Inference Parameters – Temperature
  • Other Inference Parameters in Bedrock
  • Amazon Bedrock’s pricing structure
  • Exploring options for cost optimization and resource management
  • Overview of AWS CodeWhisperer
  • Benefits of AWS CodeWhisperer
  • Installing AWS CodeWhisperer
  • Integrating S3 with CodeWhisperer
  • Integrating VPC with CodeWhisperer
  • Integrating RDS with CodeWhisperer
Generative AI on AWS - Use Case I
  • Use Case Description – Media and Entertainment Industry
  • Use Case Architecture – Amazon Bedrock, Lambda, and S3
  • Use Case Pre-Requisites – Model Access and Lambda Boto3 Version Upgrade
  • Storing Data in S3 Bucket
  • Serverless Computing using Lambda
  • AWS Lambda Integration with Amazon Bedrock
  • Create and maintain APIs using AWS API Gateway
  • AWS API Gateway Integration with Lambda
Generative AI on AWS - Use Case II
  • Use Case Description – Text Summarization
  • Use Case Architecture
  • Use of Lambda function
  • AWS SDK for Python (Boto3) upgrade
  • Connecting Lambda Function with Bedrock Service
  • Use AWS API Gateway for text summarization
  • Rest API Creation

Upcoming Batch

April 20th (Weekends)

FRI & SAT (4 Weeks)

08:30 PM to 01:00 AM (CDT)

April 18th (Weekdays)

MON – FRI (18 Days)

10:00 AM to 12:00 PM (CDT)

AWS AI Certification Course FAQs

Q. What is the AWS AI Certification Training Course?
Ans.

This certification program helps you acquire the knowledge to build and deploy your AI-powered applications on AWS. Learners will explore AI fundamental concepts and the potential of Generative AI and implement Amazon Bedrock (a managed AWS service for Generative AI) to streamline development processes. Learn to create real-world applications such as media and entertainment tools and text summarization solutions using Amazon Bedrock, CodeWhisperer, and associated services and become an expert in developing real-world applications using cloud-based solutions for Generative AI.

Q. What are the learning outcomes of this AWS AI Certification Course?
Ans.
By completing the AWS AI course, learners will be able to:
  • Describe the concepts of Artificial Intelligence, Machine Learning, and Generative AI and their various applications.
  • Leverage Amazon Bedrock to simplify the process of building and deploying generative AI applications.
  • Develop skills to build practical applications using generative AI, like media & entertainment tools and text summarization solutions.
  • Managing the costs associated with running generative AI applications on AWS and integrating your solutions with APIs.
  • Build and deploy serverless functions using AWS Lambda to manage and trigger your generative AI workflows without managing servers.
Q. Why take up this AWS AI Certification Training Course?
Ans.
Enrolling in the AWS AI Training Course provides learners with the knowledge and practical skills to become proficient in Generative AI with AWS, unlocking the potential to build and deploy innovative solutions across various industries.
Q. Who should take up this AWS AI Certification Training Course?
Ans.
This AWS AI certification course is for both technical and non-technical learners. Whether a developer or engineer seeking to master AI applications on the cloud or an AI enthusiast eager to turn their passion into practical skills. Learners with knowledge of AWS can upgrade their skills by building Generative AI solutions on the AWS platform.
Q. What are the prerequisites for this AWS AI Training Course?
Ans.

The “Generative AI on AWS Certification Training” course requires a foundational knowledge of AI basics, proficiency in programming, specifically in Python, and Hands-on experience with AWS services. It is advisable to possess a sincere enthusiasm for sustainable progress to enhance engagement and achieve effective learning results.

Q. What are the system requirements for this AWS Certification Training Course?
Ans.
The system requirements for the Generative AI on AWS Certification Training Course include:
  • A laptop or desktop computer with a minimum of 8 GB RAM and an Intel Core i3 or above processor is required.
  • A stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.

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