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Generative AI & Prompt Engineering on AWS

AWS

Generative AI & Prompt Engineering on AWS

The Generative AI & Prompt Engineering on AWS course teaches you how to build and deploy AI applications using AWS services like Bedrock and SageMaker. It focuses on mastering prompt design, model customization, and creating real-world generative AI solutions.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

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About 

Generative AI & Prompt Engineering on AWS

With the Generative AI & Prompt Engineering on AWS course, you can learn how to make smart AI apps using services like Bedrock and SageMaker. It focuses on making good prompts, improving models, and putting AI solutions into use that can grow. You will learn how to make chatbots, automate content, and build AI-powered pipelines. This course gives you the skills you need to use generative AI in real-world business situations.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more then 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

<h1>Generative AI &amp; Prompt Engineering on AWS</h1> Course Curriculum

Introduction to Generative AI

Learn the fundamentals of generative AI, foundation models, and AWS ecosystem support.

Generative AI concepts
Foundation models overview
AWS AI/ML landscape
GenAI use cases

Amazon Bedrock Overview

Understand how to build and scale applications using Bedrock without managing infrastructure.

Bedrock architecture
Model providers (Anthropic, Meta, Stability AI, etc.)
Bedrock APIs & SDKs
Use case demonstrations

Prompt Engineering Fundamentals

Master effective prompt design to optimize outputs from foundation models.

Prompt structures & templates
Zero-shot & few-shot prompting
Role & context-based prompts
Iterative refinement techniques

Advanced Prompt Engineering Techniques

Apply advanced strategies to handle complex use cases.

Chain-of-thought prompting
Multi-step reasoning
Guardrails & constraints
Response evaluation

Data Preparation & Fine-Tuning

Prepare custom datasets and fine-tune models for domain-specific tasks.

Data cleaning & preprocessing
Instruction fine-tuning
Embeddings & vector databases
Custom model deployment

AWS ML Services Integration

Integrate generative AI with existing AWS ML services for end-to-end workflows.

Amazon SageMaker
AWS Lambda for orchestration
Step Functions workflows
API Gateway integration

AWS Courses

No related courses found

Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should Take <h1>Generative AI &amp; Prompt Engineering on AWS</h1>

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Key Projects

<h1>Generative AI &amp; Prompt Engineering on AWS</h1>

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AI-Powered Customer Support Chatbot

With Amazon Bedrock and Lex, you can make a smart chatbot that can have conversations with multiple turns, answer questions from customers, and give them personalized help. Use prompt engineering to improve responses, connect with backend systems, and make it a scalable service on AWS.

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Automated Content Generation Pipeline

Set up a pipeline with SageMaker and Bedrock so that blogs, product descriptions, or marketing copy are made automatically. Use prompt engineering methods to make content more accurate and stylish, and store the outputs in Amazon S3 so they are easy to find and keep track of.

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Prompt Optimization & Evaluation Tool

Create a tool that lets you compare the outputs of different foundation models on Amazon Bedrock using different prompt strategies. Implement evaluation metrics, automate testing with Lambda, and visualize results in QuickSight to identify the most effective prompts for specific tasks.

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is Generative AI on AWS?

What is prompt engineering?

Who should learn Generative AI & Prompt Engineering on AWS?

What AWS services are used for Generative AI?

Are there prerequisites for learning this?

How does prompt engineering improve AI outputs?

Industry-Recognized Certification

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