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
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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
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