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.
Level
Advanced
Duration
8 Weeks
Placement Client
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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.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Generative AI & Prompt Engineering on AWS
Course Curriculum
Introduction to Generative AI
Learn the fundamentals of generative AI, foundation models, and AWS ecosystem support.
Amazon Bedrock Overview
Understand how to build and scale applications using Bedrock without managing infrastructure.
Prompt Engineering Fundamentals
Master effective prompt design to optimize outputs from foundation models.
Advanced Prompt Engineering Techniques
Apply advanced strategies to handle complex use cases.
Data Preparation & Fine-Tuning
Prepare custom datasets and fine-tune models for domain-specific tasks.
AWS ML Services Integration
Integrate generative AI with existing AWS ML services for end-to-end workflows.
AWS Courses
No related courses found
Additional Program Highlights
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Who Should Take Generative AI & Prompt Engineering on AWS
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1>Generative AI & Prompt Engineering on AWS</h1>
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.
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.
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.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
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Course FAQs
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