Generative AI for Leaders: Business in the AI Age

Name: Generative AI for Leaders: Business in the AI Age
Rating: 4.5 (6 reviews)

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

Created byToni Farley

Last updated 10/2024

English

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.

Course content

10 sections • 30 lectures • 5h 6m total length

Introduction4:07
Meet the team - Dr. Farley, Claude AI, Gemini, and ChatGPT
Overview1:31
Overview of the lecture series
Fundamentals and Key Concepts17:02
Welcome to our first lesson on generative AI for business leaders. Here, we provide an overview of AI, focusing on generative AI's unique position within this field. We'll introduce key models driving the generative AI revolution and explain how this technology works at a conceptual level. Finally, we'll explore the factors behind generative AI's recent emergence as a transformative force in business and technology. This foundation will equip you to understand and leverage generative AI's potential in your organizations.

Understanding Model Capabilities9:17
Explore how generative ai enhances customer experience through natural language processing, text to speech, and multilingual translation, using multimodal models and fine tuning on Hugging Face.
Developing a Strategy8:22
Case Studies14:21
Explore how generative AI transforms customer experience through real-world case studies, from Amazon Personalize to airline chatbots, emphasizing use cases, data quality, transparency, and vendor evaluation.

Use Cases5:36
Prototyping & Image Generation10:32
Explore how generative ai image generation accelerates product development and sparks innovation, while comparing paid models, open source options, and fine-tuning for prototyping.
Acceleration to Inspiration8:49
Explore how generative AI accelerates product design and innovation through real-world use cases. See automotive design and cosmetics formulation examples that speed variation, inspire ideas, and address combinatorial challenges.

Marketing Content Creation14:18
Discover how generative AI drives marketing content production, delivering personalized content and tailored ad copy for diverse audience segments.
Marketing Campaigns6:38
Harness generative AI to optimize marketing campaigns with predictive segmentation, micro segments, and testing of headlines and CTAs. Monitor brand perception on social media and refine strategies with A/B testing.
Buy vs Build4:48
Explore buy versus build decisions for generative AI in business, weighing model customization, data privacy, biases, costs, scalability, and legal considerations for in-house versus service solutions.

AI-Powered Presentation of AI-Powered Automation21:38
Identify repetitive, data-intensive processes primed for AI-powered automation to boost efficiency. Leverage NLP, text summarization, sentiment analysis, chatbots, and predictive analytics to automate decision making and improve customer service.
Prompt Engineering12:38
Learn prompt engineering across zero-shot, one-shot, and mini-shot prompting; design structured prompts with examples to guide language models, improve output format, tone, and quality.
APIs and Fine-Tuning25:18
Access and compare APIs for generative AI—Google Gemini, OpenAI, and Anthropic—using keys, guides, and Python scripts, while exploring prompt engineering and model fine tuning.

Top Concerns10:43
OWASP - DEF CON - Black Hat9:07
Leaders explore the OWASP top ten LM and generative AI security risks, including prompt injection and insecure output handling, and learn to monitor vulnerabilities via Defcon and Black Hat conferences.
AI Architecture Concerns6:45
Explore data privacy and security in AI deployment, map internal versus external architecture, govern data and models, monitor systems, secure APIs, and implement CI/CD with an ethical AI governance framework.

Choosing the best combination of resources5:46
Collaborative Intelligence10:54
Explore real-world use cases of human and generative AI collaboration, from Alaska Airlines' natural language search to Vertex AI health, and how leadership can foster collaborative intelligence.
AI Literacy: A skillset shift5:48
Position AI as a coworker that augments human capabilities, signaling a skillset shift toward AI literacy, critical thinking, and new problem-solving approaches. Examine how AI collaboration reshapes future of work.

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 Outcomes

By completing this course, you will:

Master the fundamentals of generative AI and its relationship to broader AI concepts
Identify and analyze real-world applications across business sectors
Evaluate AI-driven decision-making strategies
Design AI-enhanced customer experience frameworks
Assess AI's role in product development and innovation
Develop AI-powered marketing and content strategies
Implement process automation solutions
Address data privacy and security concerns
Create ethical frameworks for responsible AI use
Prepare for the future of AI-human collaboration

Key Features

Live demonstrations of leading language models (LLMs) in action
Dr. Farley collaborates with generative AI models throughout the course with real-time demonstrations
Downloadable resources including source code, templates, and reusable content generated by LLMs
30 bite-sized video lectures (5-20 minutes each)
Real-world case studies and practical examples
Comprehensive course materials for continued reference

Perfect 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.

Who this course is for:

Leaders, Managers, Aspiring Managers, Aspiring Leaders

Generative AI for Leaders: Business in the AI Age

What you'll learn

Explore related topics

Course content

Introduction to Generative AI3 lectures • 23min

Current Applications of Generative AI in Business3 lectures • 38min

AI-Driven Decision Making and Strategic Planning3 lectures • 23min

Enhancing Customer Experience with Generative AI3 lectures • 32min

AI in Product Development and Innovation3 lectures • 25min

Generative AI for Marketing and Content Creation3 lectures • 26min

AI-Powered Process Automation and Efficiency3 lectures • 1hr

Data Privacy and Security Concerns in AI Implementation3 lectures • 27min

Ethical Considerations and Responsible AI Use in Business3 lectures • 31min

The Future of Work: Managing AI-Human Collaboration3 lectures • 22min

Requirements

Description

Who this course is for: