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    Generative Ai For Leaders: Business In The Ai Age

    Posted By: ELK1nG
    Generative Ai For Leaders: Business In The Ai Age

    Generative Ai For Leaders: Business In The Ai Age
    Published 10/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.63 GB | Duration: 5h 6m

    Navigating the Future: A Practical Guide to Implementing and Managing AI Solutions in Your Organization

    What you'll learn

    Gain a solid understanding of the core concepts, capabilities, and limitations of generative AI technologies.

    Recognize potential applications of generative AI across various business functions and industries, including specific use cases

    Develop the ability to assess the feasibility, risks, and potential ROI of integrating generative AI solutions within your organization.

    Understand the ethical implications of generative AI use in business, including privacy concerns, bias mitigation, and responsible AI practices.

    Requirements

    No prior experience required.

    Description

    Transform your understanding of generative AI and its business impact through this innovative course designed specifically for leaders and managers. Dr. Toni Farley combines decades of expertise with cutting-edge AI technology to deliver a unique learning experience where generative AI isn't just the subject—it's an active teaching tool.Through 30 concise video lectures divided into 10 comprehensive sections, you'll progress from fundamental concepts to advanced applications, learning to harness generative AI's potential for your organization. Each section builds upon the previous, ensuring a solid foundation while maintaining practical relevance to your business needs.Learning OutcomesBy completing this course, you will:Master the fundamentals of generative AI and its relationship to broader AI conceptsIdentify and analyze real-world applications across business sectorsEvaluate AI-driven decision-making strategiesDesign AI-enhanced customer experience frameworksAssess AI's role in product development and innovationDevelop AI-powered marketing and content strategiesImplement process automation solutionsAddress data privacy and security concernsCreate ethical frameworks for responsible AI usePrepare for the future of AI-human collaborationKey FeaturesLive demonstrations of leading language models (LLMs) in actionDr. Farley collaborates with generative AI models throughout the course with real-time demonstrationsDownloadable resources including source code, templates, and reusable content generated by LLMs30 bite-sized video lectures (5-20 minutes each)Real-world case studies and practical examplesComprehensive course materials for continued referencePerfect for busy professionals, this course delivers complex concepts in digestible segments while providing the tools and knowledge needed to lead in the age of AI.

    Overview

    Section 1: Introduction to Generative AI

    Lecture 1 Introduction

    Lecture 2 Overview

    Lecture 3 Fundamentals and Key Concepts

    Section 2: Current Applications of Generative AI in Business

    Lecture 4 AI Applications Across Industries

    Lecture 5 Content Creation & Marketing

    Lecture 6 Customer Service

    Section 3: AI-Driven Decision Making and Strategic Planning

    Lecture 7 AI's Roles

    Lecture 8 Analyzing Trends

    Lecture 9 Developing Plans

    Section 4: Enhancing Customer Experience with Generative AI

    Lecture 10 Understanding Model Capabilities

    Lecture 11 Developing a Strategy

    Lecture 12 Case Studies

    Section 5: AI in Product Development and Innovation

    Lecture 13 Use Cases

    Lecture 14 Prototyping & Image Generation

    Lecture 15 Acceleration to Inspiration

    Section 6: Generative AI for Marketing and Content Creation

    Lecture 16 Marketing Content Creation

    Lecture 17 Marketing Campaigns

    Lecture 18 Buy vs Build

    Section 7: AI-Powered Process Automation and Efficiency

    Lecture 19 AI-Powered Presentation of AI-Powered Automation

    Lecture 20 Prompt Engineering

    Lecture 21 APIs and Fine-Tuning

    Section 8: Data Privacy and Security Concerns in AI Implementation

    Lecture 22 Top Concerns

    Lecture 23 OWASP - DEF CON - Black Hat

    Lecture 24 AI Architecture Concerns

    Section 9: Ethical Considerations and Responsible AI Use in Business

    Lecture 25 The Main Points

    Lecture 26 Informational Resources

    Lecture 27 Training for Responsible AI Use

    Section 10: The Future of Work: Managing AI-Human Collaboration

    Lecture 28 Choosing the best combination of resources

    Lecture 29 Collaborative Intelligence

    Lecture 30 AI Literacy: A skillset shift

    Leaders, Managers, Aspiring Managers, Aspiring Leaders