AWS Bedrock Agent Development
Learn to build enterprise-grade AI applications using AWS Bedrock. Master MLOps, infrastructure as code, and agent development for generative AI solutions.
Course Cost
₹ 38,454
Beginner
Skill Level
4 Weeks
Self-paced lessons
This comprehensive course teaches you to develop enterprise-ready AI applications using AWS Bedrock and Python. You'll gain expertise in MLOps for generative AI, focusing on AWS Bedrock implementation and infrastructure management. The curriculum covers essential topics including Large Language Models (LLMs), Infrastructure as Code using AWS CDK, and data engineering practices. You'll learn to build and optimize Bedrock Agents using AWS Lambda, create intuitive user interfaces, and implement operational dashboards. The course emphasizes hands-on experience with real-world applications, ensuring you master both theoretical concepts and practical implementation. By completion, you'll be equipped to develop, deploy, and manage sophisticated AI solutions in enterprise environments.
What you'll learn
Master AWS Bedrock implementation and LLM fundamentals
Develop proficiency in Infrastructure as Code using AWS CDK
Build and optimize Bedrock Agents with AWS Lambda
Implement data engineering and pipeline optimization techniques
Create user interfaces and operational dashboards for AI applications
Apply MLOps best practices in enterprise environments
Demonstrate trustworthy AI principles and customization strategies
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 4 modules in this course
The course provides comprehensive coverage of MLOps for generative AI using AWS Bedrock. Students learn fundamental concepts of Large Language Models (LLMs) and their practical implementation in enterprise environments. The curriculum includes hands-on experience with AWS cloud infrastructure, data engineering practices, and Bedrock Agent development. Key focus areas include Infrastructure as Code using AWS CDK, Lambda tool integration, user interface design, and operational dashboard creation. The course emphasizes best practices for building trustworthy and valuable AI solutions while providing practical experience with cutting-edge LLM technology.
Introduction to MLOps for LLM
Module 1
IaC and DataOps
Module 2
Building Bedrock Agent
Module 3
Building Interfaces and Operations
Module 4
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.




