Home AI Courses Amazon Bedrock - Getting Started with Gen AI

Amazon Bedrock - Getting Started with Gen AI

(0 reviews)

Understand the benefits, functioning, use cases, and applications of Amazon Bedrock in generative AI.

Key AI Functions:Generative AI Applications,Virtual Assistants,Foundation Models

Description

Reviews

Alternative Tools

Description for Amazon Bedrock - Getting Started with Gen AI

Features of Course

Appreciate the advantages of Amazon Bedrock.

Provide a detailed explanation of the operation of Amazon Bedrock.

Provide a list of typical use cases for Amazon Bedrock.

Investigate the utilization of Amazon Bedrock in your generative AI application.

Level: Beginner

Certification Degree: No

Languages the Course is Available: 21

Offered by: On Coursera provided by Amazon Web Services

Duration: 1 hour to complete

Schedule: Flexible

Reviews for Amazon Bedrock - Getting Started with Gen AI

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

IBM Machine Learning Professional Certificate

Meta Back-End Developer Professional Certificate

BI Foundations with SQL, ETL and Data Warehousing Specialization

Cloud Machine Learning Engineering and MLOps

Gen AI as Your Thought Partner

Alternative Tools for Amazon Bedrock - Getting Started with Gen AI

Gen AI Fundamentals

Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.

#Artificial Intelligence (AI) #Prompt Engineering

Gen AI: Foundation Models and Platforms

The course delves into the fundamental models and concepts of generative AI, as well as foundation models, pre-trained models for AI applications, and a variety of generative AI platforms, including IBM Watson and Hugging Face.

#Artificial Intelligence (AI) #Large Language Models (LLM)

Featured Tools

IBM Machine Learning Professional Certificate

Set up for a profession in machine learning. To become job-ready in less than three months, acquire the skills and practical experience that are in high demand.

#Statistical Hypothesis Testing #Machine Learning (ML) Algorithms

Meta Back-End Developer Professional Certificate

The course outlines a comprehensive curriculum aimed at equipping learners with technical skills in back-end development, covering various programming systems, portfolio development, and interview preparation.

#Django (Web Framework) #API Endpoints

BI Foundations with SQL, ETL and Data Warehousing Specialization

Prepare yourself for your initial position in business intelligence. Develop the essential competencies required to initiate a career in business intelligence (BI) within two months. There is no prerequisite for a degree or prior experience.

#Business Intelligence #SQL queries

Cloud Machine Learning Engineering and MLOps

Master the art of probabilistic modeling, document retrieval, and clustering with Python, with an emphasis on expectation maximization, k-means, and k-nearest neighbors.

#cloud #machine learning

Gen AI as Your Thought Partner

Gain hands-on experience and comprehensive knowledge of GenAI, emphasizing critical thinking and leveraging AI to enhance idea development and prepare for the future of work.

#Artificial Intelligence (AI) #Data Analysis

Compare & Review AI Tool Directory AI Course Marketplace