AI Fundamentals for Business Leaders

AVAILABLE AT ALL MAJOR RETAILERS

Introducing "Artificial Intelligence Fundamentals for Business Leaders" - the perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI.

Part of the Byte-sized Learning series, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI.

More Than a Book

By purchasing this book, you will also be granted access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion with other readers.

You will also receive 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion.

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AI Fundamentals for Business Leaders Audiobook

Content

Introduction to Artificial Intelligence

Learning Objectives:

Demonstrated comprehension of AI's evolution, definition, applications, and comparison with human intelligence.

Lessons:
Innovate and Adapt, Faster!
AI and the Transformation of the Global Business Landscape
What is Artificial Intelligence?
Human Intelligence Versus Machine Intelligence
Current and Emerging Applications
Computational Power

All About Data

Learning Objectives:

Clear understanding of the significance of data, and strategies for data management.

Lessons:
Big Data
Data Science Versus Machine Learning
Harnessing Data for Machine Learning: Strategies and Challenges
Proprietary Data as a Competitive Advantage
Open Data and Data Sharing
The New Era of Generative AI: Understanding the Data Management Implications

Machine Learning for Business Leaders

Learning Objectives:

Familiarity with machine learning algorithms, and different learning types.

Lessons:
Why Business Leaders Must Understand Machine Learning
Expert Systems
Machine Learning
Supervised Learning
Unsupervised Learning
Self-Supervised Learning - Bridging the Gap
Reinforcement Learning
Reinforcement Learning from Human Feedback (RLHF): Enhancing AI Models with Human Input

Stepping-Stone Models and Concepts - Non-Technical Overview

Learning Objectives:

Demonstrated comprehension of parametric and non-parametric algorithms.

Lessons:
Parametric And Non-Parametric Algorithms
Linear Regression
Logistic Regression
Decision Trees
Ensemble Methods
K-Means Clustering
Key Steps of a Machine Learning Project

Deep Learning for Business Leaders

Learning Objectives:

Understanding of deep learning, its basics, and the structure and types of neural networks, and the key steps involved in a machine learning project.

Lessons:
Introduction to Deep Learning
Neurons
The Perceptron
Training a Neuron
Neural Networks
Basic Types of Neural Networks

Model Selection and Evaluation - Business Decision-Making

Learning Objectives:

Ability to select and evaluate machine learning models and utilize them for decision-making.

Lessons:
Model Selection
The Unreasonable Effectiveness of Quality Data
Model Evaluation
Outputs Versus Outcomes
Enhancing Decision-Making with Machine Learning

Generative AI For Business Leaders

Learning Objectives:

Detailed understanding of generative AI, its value chain, transformer models, diffusion models, and governance challenges.

Lessons:
Introduction to Generative AI
Transformer Models
Transformers: The Near Future
Generative Adversarial Networks
Diffusion Models
Foundation Models
The Generative AI Value Chain
Training GPT Assistants and the Art of Prompting
Prompt Strategies
Regulating and Governing Generative AI: A Case Study of the European Union

AI Opportunities and Challenges for Your Business or Industry

Learning Objectives:

To analyze the opportunities and challenges posed by the integration of Generative AI technologies in your business operations, and to design an initial strategic response to these insights. You can work on a real or imagined business.