Tags
Language
Tags
December 2024
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 31 1 2 3 4

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