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AWS AI Certification Training Course
AWS AI Certification Training Course
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Live Online Classes starting on 31st Aug 2024
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Instructor-led AI on AWS live online Training Schedule
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Why enroll for AWS AI Certification Course?
AI on AWS 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.
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Why AWS AI Certification Course from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
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About your AWS AI Certification Course
Skills Covered in AWS AI Training
Tools Covered in AWS AI
AWS AI Course Curriculum
Curriculum Designed by Experts
Introduction to Generative AI and LLMs
20 Topics
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
![skill]( "Hands On Experience")
- Working with LLMs and crafting effective prompts
- Exploring Generative AI services from AWS
- Deploying ML model using Amazon SageMaker
![skill]( "skill you will learn")
- Prompt Engineering
- Deploying Machine Learning Models
- Explore LLMs
Building Generative AI Application using Amazon Bedrock and CodeWhisperer
16 Topics
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
![skill]( "Hands On Experience")
- Explore Amazon Bedrock console
- Create an S3 Bucket using AWS CodeWhisperer
- Create VPC and RDS Instance using AWS CodeWhisperer
![skill]( "skill 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
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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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 AI Certification Course
What is the AWS 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 AI Certification 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 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 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
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....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 AI Certification
To unlock Edureka’s AWS AI Course completion certificate, you must ensure the following:
- Completely participate in this AWS 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
John Doe
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AWS AI Certification Course FAQs
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 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 sales@edureka.co.
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.
What are the other Courses on Artificial Intelligence provided by Edureka?
Here is the list of courses offered by Edureka:
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