AI | GenAI | AWS | Amazon Q Business | Create ChatGPT | 2024
AWS Certified AI Practitioner. Using Full Potential of AWS GenAI with Amazon Q Business. AI for Everyone- IT, HR,Ops.
IT and Software ,Other IT and Software,Machine Learning
Lectures -62
Duration -5 hours
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Course Description
Mastering Amazon Q Business: Revolutionize Your Enterprise with AI-Powered Assistance
Learn how to unlock your business fully through Amazon Q Business and transform your organization's productivity, decision-making, and information management. This course is all about mastering skills that will help you use Amazon Q Business effectively within your enterprise environment.
A Hands-on Course Course Overview This course is of a highly applied nature and should be considered by professionals on almost any kind of function within the business to capitalize on the potential for AI-driven support within your line work. Irrespective of management, IT, HR, and all other kinds of functions within the business, this class provides hands-on insights to exploit your work with Amazon Q Business.
What You Will Learn:
Amazon Q Business Fundamentals
Understanding core capabilities and benefits of Amazon Q Business
Configuration of Amazon Q Business for your company.
Attaching Amazon Q Business to already existing enterprise systems
Enterprise Data Integration and Security:
Getting Amazon Q Business connected to your company's data sources
Balancing security measures and access controls
Ensuring adherence to regulations related to data privacy
Natural Language Interactions for Business:
Mastering the art of conversational AI in retrieving information quickly
Crafting the right queries that give you accurate answers for business questions.
Personalizing Amazon Q Business answers to your business's terminology
Job Automation and Workflow Optimization:
Automation of numerous business repeated tasks across organizations
Development of implementing several custom workflows of repeated business processes
Integration of Amazon Q Business with your other business applications
Intelligent Document Processing:
Leverage Amazon Q Business to extract insights from recorded documents
Extraction of insights from enormous business data volumes
Document handling and information business workflows with the help of documents
Employee Support and Self-Service:
Use of Amazon Q Business for IT and HR service desks
Employee Onboarding and Training:
Process Improvisation on employee onboarding and training process
Instant access to Company Policies and Procedures
Business Intelligence and Reporting:
Meaningful Business reports and analytics derivation
Use of Amazon Q Business with data-driven decisions
Meaningful insights generation out of complex business datasets
Performance Optimization and Monitoring:
Optimization of Amazon Q Business in maximum performance for your business enterprise
Monitoring usage and its impact on business metrics
Improving AI interactions continuously with better business results
Change Management and User Adoption
Implementation of Amazon Q Business in Your Organization
How to Minimize Resistance and Promote Adoption across Departments
Measuring and Proving ROI of Deploying Amazon Q Business
Preparing for the Future Proofing of Your Company
Staying Updated about Amazon Q Business Latest Features and Improvements
Explore New Enterprise AI Assistant Trends
Get Ready for the Future of Work with AI Improvement
Real-World Applications: For the entire course, you will be interacting with real-time scenario and case studies of how Amazon Q Business solves real-world enterprise problems. You will take up practical projects that model your real-time business situations to ensure you can apply your learnings immediately in your professional environment.
Who Should Take This Course:
Business leaders looking to innovate and become efficient
Those IT professionals who implement and manage AI solutions
Department heads interested in streamlining operations with AI support
HR managers interested in improving employee and information access support
Anyone interested in exploiting the newest AI in a commercial context
By the end of the program, you will be able to successfully implement Amazon Q Business and, therefore, allow unprecedented productivity and innovation within your organizations. End
Goals
- Learn to use Amazon Q to achieve more within less time as an information retrieval tool.
Understand how it can eliminate regular processes and the time wasted in non-productive repetitive tasks
Learn how to use Amazon Q to analyze data and also generate insights
Understand how you can access authoritative, up-to-date information for informed and effective action.
Learn how to set up and deploy Amazon Q for everyday IT and HR help desk work.
Understand how it can provide quick answers to frequent questions on company policies and procedures
Learn how Amazon Q will help generate code, debug, and document capabilities
Understand its capabilities in supporting software development workflows
Learn how to configure Amazon Q to observe your organization's security policies and compliance requirement
Understand access controls and data privacy settings
In order to understand Generative AI
Understanding AI Usage
Prerequisites
- No Prior Experience Needed: This course is designed for beginners with no previous experience with AI/ GenAI/ AWS / Amazon Q concepts.
- From Basics to Details: We start from the fundamentals of AI/ GenAI/ AWS / Amazon Q, explaining core concepts and terminology in a clear and concise manner.
- Step-by-Step Guidance: Each topic is presented in a structured manner, with step-by-step guidance on installation, configuration, and usage of AI/ GenAI/ AWS / Amazon Q.
- Hands-On Learning: Hands-on labs and exercises are provided throughout the course to reinforce learning and allow you to practice what you've learned in a real-world environment.
- Self-Paced Learning: You can learn at your own pace, pausing, rewinding, and replaying lectures as needed to fully grasp each concept.
- Continuous Support: Even after completing the course, you'll have access to resources and support to help you continue your learning journey and apply your newfound skills in real-world scenarios.

Curriculum
Check out the detailed breakdown of what’s inside the course
About Course
3 Lectures
-
Content 03:22 03:22
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Projects 02:35 02:35
-
Problem Statement 01:13 01:13
Introduction
3 Lectures

AWS Quick Overview
6 Lectures

IAM Identity Center
6 Lectures

Key Concepts Basics
3 Lectures

Amazon Q Business
7 Lectures

Understanding Components of Q Business
7 Lectures

Creating own Amazon Q
10 Lectures

Plugins and Apps Creation
7 Lectures

Amazon Q Business with AWS Kendra
8 Lectures

Capstone Project
2 Lectures

Instructor Details

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