Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Rag Strategy & Execution: Build Enterprise Knowledge Systems

    Posted By: ELK1nG
    Rag Strategy & Execution: Build Enterprise Knowledge Systems

    Rag Strategy & Execution: Build Enterprise Knowledge Systems
    Published 5/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 474.51 MB | Duration: 2h 12m

    Master the strategy, design, and governance of Retrieval-Augmented Generation to transform enterprise knowledge access

    What you'll learn

    Identify high-value business use cases for RAG across teams and workflows

    Design a modular, scalable RAG stack for enterprise deployment

    Build a content strategy for sourcing, chunking, and indexing knowledge

    Establish governance practices for access, traceability, and compliance

    Evaluate RAG vendors based on privacy, control, and integration options

    Mitigate risks like hallucination, bias, and data exposure in RAG systems

    Track and report KPIs that measure RAG’s business impact and trust

    Craft a long-term RAG vision aligned with AI agents and automation

    Requirements

    No coding or AI development experience required — this course is designed for strategic thinkers, not engineers

    A basic understanding of how your organization uses internal documents, knowledge bases, and workflows

    Familiarity with enterprise tools like SharePoint, Notion, Google Workspace, or CRMs (helpful but not mandatory)

    Ideal for those in management, IT, operations, legal, or innovation roles

    Curiosity and openness to exploring how AI can enhance decision-making and knowledge access across the enterprise

    Description

    In today’s fast-moving, data-rich enterprises, static knowledge systems are no longer enough. Enter Retrieval-Augmented Generation (RAG) — a powerful AI technique that enables organizations to unlock the full value of their internal documents, policies, and processes. In this course, RAG Strategy & Execution: Building Enterprise Knowledge Systems, you’ll learn how to move beyond chatbots and pilots to deploy RAG as enterprise-grade infrastructure.This course is designed for leaders, strategists, and functional decision-makers who want to understand not just how RAG works, but how to make it work within their organization. You’ll explore the complete lifecycle of a RAG system, from use case prioritization to data sourcing, governance, risk management, and performance measurement. Whether you're a CIO planning for GenAI at scale or a business unit leader solving knowledge bottlenecks, this course will give you the blueprint to lead confidently.You’ll start by identifying the highest-value RAG use cases across business functions like HR, legal, support, and operations. Then, you’ll learn how to prepare RAG-ready datasets — including strategies for document chunking, metadata tagging, and source control. The course walks you through the design of a modular RAG stack, with comparisons of build vs. buy vs. hybrid architectures. You’ll evaluate popular tools like LangChain, ChromaDB, and Ollama, as well as commercial platforms like Glean, Hebbia, and Chatbase.A major focus of this course is RAG governance. You’ll learn how to implement version control, document-level access rules, output disclaimers, and human-in-the-loop (HITL) validation. You’ll also discover how to mitigate risks related to hallucination, outdated content, data exposure, and compliance gaps.To help you make confident decisions, we include a full vendor evaluation framework, a detailed risk assessment plan, and a dashboard of RAG performance KPIs — including adoption, trust, and business impact. You’ll also gain insights into emerging trends like multi-agent RAG systems, voice and vision interfaces, and Retrieval-as-a-Service (RaaS).By the end of this course, you’ll have a complete RAG Business Playbook tailored to your organization — and the leadership mindset to scale AI with trust and purpose. You'll wrap up with a capstone assignment: a two-page vision paper on how your company can leverage RAG to build competitive advantage by 2030.If you’re serious about AI augmentation, knowledge workflows, and strategic AI governance, this course will give you the clarity, tools, and confidence to lead. Whether you’re a business leader, product manager, innovation officer, or advisor, this is your roadmap to RAG mastery.

    Overview

    Section 1: Foundations of RAG – What Every Leader Must Know

    Lecture 1 Introduction to Foundations of RAG – What Every Leader Must Know

    Lecture 2 What is RAG?

    Lecture 3 How RAG Works (Simplified)

    Lecture 4 Types of RAG Architectures

    Lecture 5 RAG vs. Fine-Tuning vs. Prompt Engineering

    Lecture 6 Section 1 Wrap-Up: What You’ve Learned

    Section 2: Business Applications and Use Cases

    Lecture 7 Introduction to Business Applications and Use Cases

    Lecture 8 Common RAG Use Cases Across Industries

    Lecture 9 RAG in Your Industry: Case Studies

    Lecture 10 Low-Code and No-Code RAG Options for Leaders

    Lecture 11 Evaluating RAG Vendors and Implementation Paths

    Lecture 12 Section 2 Wrap-Up: Business Applications and Use Cases

    Section 3: Data, Governance, and Risk

    Lecture 13 Introduction to Data, Governance, and Risk

    Lecture 14 What Makes a Good RAG Dataset?

    Lecture 15 Governance & Compliance in RAG Systems

    Lecture 16 Privacy, IP, and Legal Risks

    Lecture 17 Risk Mitigation Strategies

    Lecture 18 Section 3 Wrap-Up: Data, Governance, and Risk

    Section 4: Strategic Thinking with RAG

    Lecture 19 Introduction to Strategic Thinking with RAG

    Lecture 20 The RAG Stack: Build or Buy?

    Lecture 21 RAG in Enterprise AI Strategy

    Lecture 22 RAG and Organizational Change

    Lecture 23 Measuring Success: KPIs and Value Metrics

    Lecture 24 Section 4 Wrap-Up: Strategic Thinking with RAG

    Section 5: The Future of RAG and AI-Augmented Organizations

    Lecture 25 Introduction to The Future of RAG and AI-Augmented Organizations

    Lecture 26 Multi-Agent Systems + RAG

    Lecture 27 RAG + Search + Voice + Vision

    Lecture 28 The Road Ahead: Trends and Challenges

    Lecture 29 Becoming an AI-Ready Leader

    Lecture 30 Section 5 Wrap-Up: The Future of RAG and AI-Augmented Organizations

    Section 6: RAG Business Playbook

    Lecture 31 RAG Business Playbook: Strategic Deployment Guide

    Business and Functional Leaders (e.g., in HR, Legal, Ops, Finance) looking to unlock the value of organizational knowledge through AI,Enterprise Architects and IT Strategists who want to design and scale RAG infrastructure,AI and Innovation Officers tasked with operationalizing GenAI in real-world, trustworthy ways,Data Governance and Compliance Professionals who need to evaluate AI systems for risk, traceability, and accountability,Team Leads and Product Managers seeking to integrate RAG into workflows, agents, and user-facing apps,Consultants and Advisors helping organizations plan or pilot RAG-enabled systems,Tech-Savvy Executives and CIOs who need to understand the business impact, architecture, and evolution of RAG,AI Enthusiasts and Career Switchers aiming to upskill in applied GenAI strategy and enterprise deployment