Aws - Genai Series | Amazon Q Business | Create Your Chatgpt

AWS Certified AI Practitioner. Using Full Potential of AWS GenAI with Amazon Q Business. AI for Everyone- IT, HR,Ops.

What you'll learn

Learn how to use Amazon Q to quickly find information and complete tasks more efficiently.

Understand how it can automate routine processes and reduce time spent on repetitive tasks.

Learn to utilize Amazon Q for data analysis and insights generation.

Understand how to get accurate, up-to-date information to support informed decision-making.

Learn how to set up and use Amazon Q for common IT and HR help desk functions.

Understand how it can provide quick answers to frequently asked questions about company policies and procedures.

Learn how Amazon Q can assist with code generation, debugging, and documentation.

Understand its capabilities in supporting software development workflows.

Learn how to configure Amazon Q to adhere to your organization's security policies and compliance requirements.

Understand how to manage access controls and data privacy settings.

Learn how to tailor Amazon Q to your organization's unique requirements and workflows.

Understand how to integrate it with existing systems and data sources.

Learn how to monitor Amazon Q's performance and make necessary adjustments.

Understand how to create and manage Index Plans for optimal data retrieval.

Learn strategies for introducing Amazon Q to your workforce and encouraging its use.

Understand how to measure its impact on productivity and user satisfaction.

Learn how to use Amazon Q efficiently to maximize ROI.

Understand its pricing model and how to optimize usage for cost-effectiveness.

Understand how to incorporate new features into your existing workflows.

Understand how to incorporate new features into your existing workflows.

To understand Generative AI

Understanding the usage of AI

Learn about different types of AI: narrow AI, general AI, and superintelligence.

Grasp core concepts, theories, and principles underlying AI.

Learn to stay updated with the rapidly evolving field of AI.

Understand how AI can solve real-world problems.

Learn to work in teams to develop AI solutions.

Requirements

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.

Description

"Mastering Amazon Q Business: Revolutionize Your Enterprise with AI-Powered AssistanceUnlock the full potential of Amazon Q Business and transform your organization's productivity, decision-making, and information management. This comprehensive course is designed to equip you with the skills to leverage Amazon Q Business effectively in your enterprise environment.Course Overview: This hands-on course is tailored for professionals across various business functions who want to harness the power of AI-driven assistance in their daily operations. Whether you're in management, IT, HR, or any other department, this course offers practical insights to enhance your work with Amazon Q Business.What You'll Learn:Amazon Q Business Fundamentals:Understanding the core capabilities and benefits of Amazon Q BusinessSetting up and configuring Amazon Q Business for your organizationIntegrating Amazon Q Business with your existing enterprise systemsEnterprise Data Integration and Security:Connecting Amazon Q Business to your company's data sourcesImplementing robust security measures and access controlsEnsuring compliance with data privacy regulationsNatural Language Interactions for Business:Mastering conversational AI for efficient information retrievalCrafting effective queries to get precise answers to business questionsCustomizing Amazon Q Business responses to align with your company's terminologyTask Automation and Workflow Enhancement:Automating routine business tasks across departmentsCreating and managing custom workflows for common business processesIntegrating Amazon Q Business with your existing business toolsIntelligent Document Processing:Leveraging Amazon Q Business for summarizing reports and documentsExtracting key insights from large volumes of business dataEnhancing document-based workflows and information managementEmployee Support and Self-Service:Utilizing Amazon Q Business for IT and HR help desksStreamlining employee onboarding and training processesProviding instant access to company policies and proceduresBusiness Intelligence and Reporting:Generating insightful business reports and analyticsUsing Amazon Q Business for data-driven decision makingExtracting valuable insights from complex business datasetsPerformance Optimization and Monitoring:Fine-tuning Amazon Q Business for optimal performance in your enterpriseMonitoring usage and impact on business metricsContinuously improving AI interactions for better business outcomesChange Management and User Adoption:Strategies for introducing Amazon Q Business to your teamOvercoming resistance and encouraging adoption across departmentsMeasuring and showcasing the ROI of Amazon Q Business implementationFuture-Proofing Your Business:Staying ahead with the latest Amazon Q Business updates and featuresExploring emerging trends in enterprise AI assistantsPreparing your organization for the future of AI-enhanced workReal-World Applications: Throughout the course, you'll engage with real-time scenarios and case studies, demonstrating how Amazon Q Business solves actual enterprise challenges. You'll work on practical projects that simulate real-world business situations, ensuring you can apply your learnings immediately in your professional environment.Who Should Take This Course:Business leaders looking to drive innovation and efficiencyIT professionals responsible for implementing and managing AI solutionsDepartment heads aiming to streamline operations with AI assistanceHR managers seeking to enhance employee support and information accessAnyone interested in leveraging cutting-edge AI in a business contextBy the end of this course, you'll have the skills and confidence to implement Amazon Q Business effectively, driving unprecedented productivity and innovation in your organization. Join us to be at the forefront of AI-assisted enterprise operations!"

Overview

Section 1: About Course

Lecture 1 Course Introduction

Lecture 2 Content

Lecture 3 Projects

Section 2: Introduction

Lecture 4 What is AI?

Lecture 5 Understanding GenAI

Lecture 6 Opportunities & Challenges in GenAI

Section 3: AWS Quick Overview

Lecture 7 IAM Users & Roles

Lecture 8 IAM Policy & Attaching Policy

Lecture 9 Attaching Roles to Services & Users

Lecture 10 IAM Organisation

Lecture 11 IAM Organisation Hands-On

Lecture 12 Understanding S3

Section 4: IAM Identity Center

Lecture 13 IAM Identity Center

Lecture 14 Enabling Identity Center - Option 1

Lecture 15 Enabling Identity Center - Option 2

Lecture 16 Adding Users in Identity Center

Lecture 17 Enabling Users in Identity Center

Lecture 18 Adding Permissions to Users

Section 5: Key Concepts Basics

Lecture 19 Retrieval Augmented Generation

Lecture 20 Large language model

Lecture 21 Crawling and Indexing

Section 6: Amazon Q Business

Lecture 22 Understanding Q

Lecture 23 Amazon Q UI tour

Lecture 24 Understanding Q Business

Lecture 25 Role of Q Business in Industry

Lecture 26 Workflow of Amazon Q

Lecture 27 IAM Roles in Amazon Q

Lecture 28 Q Business Tour Hands-On

Section 7: Understanding Components of Q Business

Lecture 29 Understanding Index Plans

Lecture 30 Adding Users in Q Business Hands-On

Lecture 31 Understanding Subscription

Lecture 32 Subscription to Users Hands-On

Lecture 33 What is Retriever?

Lecture 34 Retriever Settings Hands-On

Lecture 35 Testing Application Without Data Source Hands-On

Section 8: Creating own Amazon Q

Lecture 36 Understanding Data Sources

Lecture 37 Data Source - Upload File Hands-On

Lecture 38 Data Source - S3 Hand-On

Lecture 39 Fallback Answers

Lecture 40 Fallback Answers - Hands-On

Lecture 41 Can we Restrict Information?

Lecture 42 Blocking Words - Hands-On

Lecture 43 Topics - Hands-On

Lecture 44 Toggle for choosing Data Source or Not Hands-On

Lecture 45 Modifying Our App Hands-On

Section 9: Plugins and Apps Creation

Lecture 46 Understanding Plugins

Lecture 47 Jira Refresher

Lecture 48 Jira Plugin - Hands-On

Lecture 49 Creating Issue with Jira - Hands-On

Lecture 50 Apps in Q Business

Lecture 51 Building Apps Hands-On

Lecture 52 Difference between Pro & Lite Subscription Hands-On

Section 10: Amazon Q Business with AWS Kendra

Lecture 53 Understanding Kendra

Lecture 54 Setting Up Kendra Hands-On

Lecture 55 Using Kendra with Amazon Q Business Hands-On

Lecture 56 Confluence Refresher

Lecture 57 Data Source - Confluence Hands-On

Lecture 58 Data Source - Web Crawler Hands-On

Lecture 59 Understanding Enrichment & Tuning

Lecture 60 Enrichment & Tuning Hands-On

Section 11: Capstone Project

Lecture 61 Capstone Project Theory

Lecture 62 Capstone Project Hands-On

For Beginners: Individuals with little to no experience in AI/ GenAI/ AWS / Amazon Q. Fresh graduates or students looking to kickstart their careers in AI/ GenAI/ AWS / Amazon Q or software development.,Everyone can pick up this course, at their own pace.,For Intermediate Users: Professionals who have some familiarity with AI but want to deepen their understanding and skills. Developers or sysadmins who have worked with AI in basic capacities but seek to expand their knowledge and capabilities.,For Advanced Users: Experienced AI engineers, software architects, or team leads who want to refine their AI skills and stay updated with the latest best practices.,For Career Changers: Individuals transitioning from other IT roles (such as system administration, software development, or quality assurance) to AI / GenAI / Amazon Q