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AWS Generative AI Certification Training Course

AWS Generative AI Certification Training Course
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    Instructor-led AI on AWS live online Training Schedule

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    Why enroll for AWS Generative AI Certification Course?

    pay scale by Edureka courseGenerative AI is poised to reach a market value of $15.7 trillion by 2030, propelling a 26% increase in global GDP. - AWS
    IndustriesAWS posted a 13% growth in revenue in the 4th quarter of 2023 buoyed by high demand for Gen AI related services.
    Average Salary growth by Edureka courseAccording to Glassdoor, the average salary for Generative AI Engineer is $1,39,094 per year in the United States.

    AWS Generative AI Course Benefits

    According to CIO, Amazon Web Services (AWS), the cloud computing arm of Amazon, posted a 13% growth in revenue in the fourth quarter of 2023 buoyed by demand for generative AI-related services. Hence Generative AI on AWS training aligns with cutting-edge technology advancements and prepares people for new job opportunities in the rapidly evolving AI landscape.
    Annual Salary
    AWS Solutions Architect average salary
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    ML Engineer average salary
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    Why AWS Generative AI Certification Course from edureka

    Live Interactive Learning

    Live Interactive Learning

    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
    Lifetime Access

    Lifetime Access

    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
    24x7 Support

    24x7 Support

    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
    Hands-On Project Based Learning

    Hands-On Project Based Learning

    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
    Industry Recognised Certification

    Industry Recognised Certification

    • Edureka Training Certificate
    • Graded Performance Certificate
    • Certificate of Completion

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    About your AWS Generative AI Certification Course

    Skills Covered in AWS AI Training

    • skillBuilding Gen AI Application
    • skillWorking with Bedrock Platform
    • skillManaging Costs on AWS
    • skillIntegrating AWS Services
    • skillIntegrating Gen AI with APIs
    • skillDeveloping AI-powered Apps

    Tools Covered in AWS Generative AI Training

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    AWS AI Course Curriculum

    Curriculum Designed by Experts


    Introduction to Generative AI and LLMs

    20 Topics


    • 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


    • Working with LLMs and crafting effective prompts
    • Exploring Generative AI services from AWS
    • Deploying ML model using Amazon SageMaker

    skillSkills You Will Learn:

    • Prompt Engineering
    • Deploying Machine Learning Models
    • Explore LLMs

    Building Generative AI Application using Amazon Bedrock and CodeWhisperer

    16 Topics


    • 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


    • Explore Amazon Bedrock console
    • Create an S3 Bucket using AWS CodeWhisperer
    • Create VPC and RDS Instance using AWS CodeWhisperer

    skillSkills You Will Learn:

    • Code Generation using CodeWhisperer
    • Utilizing Bedrock Console for AWS Generative AI
    • Managing Costs for Generative AI on AWS

    Generative AI on AWS - Use Case I

    8 Topics


    • 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


    • Creation of S3 Bucket and Lambda Function
    • AWS Lambda and Bedrock Integration
    • Storing the Image generated by Bedrock in S3 Bucket
    • Generating a Pre-Signed URL for Image in S3 Bucket
    • AWS API Gateway and Lambda Integration

    skillSkills You Will Learn:

    • Building AI-powered Apps using AWS
    • Manage Data in S3 Buckets
    • Integrating AWS Generative AI Services with APIs

    Generative AI on AWS - Use Case II

    7 Topics


    • 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


    • Creation of AWS Lambda function and Boto3 upgrade
    • Writing the AWS Lambda function to connect to Bedrock Service
    • Create REST API using AWS API Gateway and Lambda Integration

    skillSkills You Will Learn:

    • Building AI-based Text Summarizer
    • Upgrading Boto3 for AWS services
    • Using Lambda functions for Text Summarization

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    About the AWS Generative AI Certification Course

    What is the AWS Generative AI Certification Training Course?

    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.

      What are the learning outcomes of this AWS Generative AI Course?

      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.

      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 Generative 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.

          What are the prerequisites for this AWS AI Training Course?

          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.

            What are the system requirements for this AWS Generative AI Certification Training Course?

            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.

            How will I execute the practicals in this AWS AI Certification Course?

            Detailed step-by-step practical guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.

              AWS AI Certification Training Projects

               certification projects

              AI-powered Meme Generator with Amazon Bedrock

              This project aims to develop a user-friendly web application that leverages Generative AI on AWS to create humorous and engaging memes. It allows users to explore the potential o....
               certification projects

              Building AI-powered News Summarizer

              This project aims to develop a user-friendly web application that leverages Generative AI on AWS to create concise and informative summaries of news articles. It makes complex in....

              AWS Generative AI Certification

              To unlock Edureka’s AWS Generative AI Course completion certificate, you must ensure the following:
              • Completely participate in this AWS Generative AI Course.
              • Evaluation and completion of the quizzes and projects listed.
              The AWS AI Certification is a valuable investment for anyone looking to build a career in AI. This comprehensive training equips you with the knowledge and skills to become an AI Engineer capable of designing and deploying real-world AI applications on the AWS cloud platform. Beyond the technical expertise, the certification demonstrates your in-demand skills in a rapidly growing field, potentially boosting your earning potential and career prospects.
              After completing the AWS Generative AI Certification Training Course, you will qualify for various job opportunities in the artificial intelligence and cloud field. These positions encompass roles such as:
              • AI Engineer
              • ML Engineer
              • AWS Solutions Architect
              • Data Engineer
              • Generative AI Product Manager
              • Prompt Engineer
              • AWS Developer
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              AWS Generative AI Course FAQs

              What is Generative AI?

              Generative AI is a branch of artificial intelligence that focuses on producing or creating fresh content, such as images, text, audio, or even videos, that closely resembles data generated by humans. In contrast to conventional AI models that learn to identify patterns or make decisions based on existing data (discriminative models), generative AI models are trained to produce new data that mirrors the original training data. These models have a wide range of applications, including generating images and text, synthesizing data, and even engaging in creative tasks like art and music generation.

              What is AWS?

              Amazon Web Services (AWS) is Amazon's cloud computing platform. It offers several services, including computing, storage, networking, databases, machine learning, analytics, security, and more. AWS enables businesses to build and deploy applications and services with greater scalability and reliability compared to traditional on-premises infrastructure.

              How can Generative AI be used with AWS?

              Generative AI can be integrated with AWS to develop innovative solutions across various fields. It enables the generation of images, music, and even text with the assistance of AI models. Generative AI can also be employed for tasks such as summarization, translation, and writing help. AWS offers a comprehensive suite of AI and Machine Learning services, including Amazon Bedrock, which is aimed at simplifying generative AI development. Generative AI on AWS opens the door to a world of possibilities, empowering you to revolutionize your approach to problem-solving across various industries.

              Will I get placement assistance after completing this AWS AI Course?

              To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. You just need to log in to your LMS and click on the "create your resume" option.

              Who are the instructors for the AWS Generative AI Certification Course?

              All the instructors at Edureka are practitioners from the industry with a minimum of 10–12 years of relevant experience. They are subject matter experts and are trained by Edureka to provide an awesome learning experience to the participants.

              What if I have more queries after completing the AWS AI Training?

              Just give us a call at +91 98702 76459/1844 230 6365 (US Tollfree Number) or email at

              What if I miss a class on AWS Generative AI Certification Training?

              You will never miss a lecture at Edureka! You can choose either of the two options:
              • View the recorded session of the class available in your LMS.
              • You can attend the missed session, in any other live batch.
              Be future ready, start learning
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              Course counsellors are available 24x7
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