Udemy – Developing Generative AI Applications on AWS (Bedrock) 2024-6

Published on: 2024-07-20 18:14:31

Categories: 28

Description

The Developing Generative AI Applications on AWS (Bedrock) course provides you with a unique opportunity to learn and master this advanced and growing field. This comprehensive course, with a practical and practical approach, will transform you from a beginner to an efficient expert in the field of productive artificial intelligence. By participating in this training course, you will be fully equipped to enter the world of productive artificial intelligence and build applications in this field.

What you will learn in this course:

AWS Bedrock Mastery: Learn how to deploy and manage productive AI applications using AWS Bedrock
Practical Linux and Python skills: Gain practical skills in Linux and Python that are essential for AI development
Building Artificial Intelligence Models: Gain expertise in designing and building generative AI models from scratch
Mastery of machine learning concepts: Learn basic machine learning concepts and techniques, including supervised and unsupervised learning, model evaluation, and optimization.
Developing Generative AI Applications: Gain skills in building and deploying Generative AI models on AWS Bedrock using advanced techniques and tools.

Audience of this course:

People interested in entering the field of artificial intelligence, even without prior programming experience
Professionals looking to advance their knowledge in Linux, Python, machine learning and generative artificial intelligence
Students, aspiring data scientists and tech enthusiasts

Characteristics of the Developing Generative AI Applications on AWS (Bedrock) course

Publisher: Udemy
Image: Anil Bidari
Training level: beginner to advanced
Training duration: 19 hours and 28 minutes
Number of courses: 185

Course headings

Prerequisites of Developing Generative AI Applications on AWS (Bedrock) course

This is a Zero to Hero program, designed to take learners from beginners to advanced levels, making it accessible even for non-coders.
The course starts with foundational topics such as Linux and Python, progresses through Machine Learning, and culminates in developing Generative AI (aws bedrock) applications.