Artificial Intelligence for Business: Essential Guide for Leaders
By Peter Alkema
AI Essentials for Business Professionals introduces artificial intelligence without requiring a programming or data-science background.
$79.00 Buy this course
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- 101
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- PLR

What's in the PLR package
- AI Literacy for Non-Technical Professionals_ Under_2d534684-ef73-43ea-a0a7-42fd2839e73e.zip 3.2 GB
- Sales copy (Word document) Description 15 KB
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Curriculum
- Video lesson: Understanding the Basic Idea of Artificial IntelliFree preview3m
- Lesson: How Artificial Intelligence Impacts Everyday Life Beyond Technology Fields
- Lesson: The Difference Between Human and Machine Intelligence Explained Simply
- Lesson: Major Milestones That Led to Today�s Artificial Intelligence in the Marketplace
- Lesson: Visual Story: Everyday Encounters with Artificial Intelligence at Home and Work
- Lesson: Artificial Intelligence Applications in Banking, Healthcare, and Retail Explained
- Lesson: Transforming Customer Experience with Artificial Intelligence-Powered Interactions
- Lesson: How Artificial Intelligence Enhances Business Decision-Making Processes
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- Lesson: Examples of Artificial Intelligence-Driven Efficiency in Large Organizations
- Lesson: Visual Story: Behind the Scenes of Artificial Intelligence-Powered Recommendation Systems
- Lesson: Success Stories: Businesses Transforming Through Artificial Intelligence Adoption
- Lesson: Artificial Intelligence in Human Resources: Enhancing Hiring and Onboarding
- Lesson: Artificial Intelligence and Marketing: From Targeted Ads to Sentiment Analysis
- Lesson: Supply Chain Management Improvements Through Artificial Intelligence Tools
- Lesson: Visual Story: A Day in the Life with Artificial Intelligence at a Global Corporation
- Lesson: Common Misconceptions About Artificial Intelligence Debunked
- Lesson: Identifying Hype Versus Genuine Value in Artificial Intelligence Solutions
- Lesson: Limitations of Artificial Intelligence: What Machines Are Not Good At
- Lesson: Artificial Intelligence in the News: Separating Science Fiction from Fact
- Lesson: Visual Story: When Artificial Intelligence Fails�Lessons from Case Examples
- Lesson: Data�s Role in Artificial Intelligence�From Training to Predictions
- Lesson: Patterns, Recognition, and the Basics of How Artificial Intelligence Discovers Trends
- Lesson: Decision-Making Processes in Artificial Intelligence Explained Simply
- Lesson: The Importance of Human Oversight in Artificial Intelligence Systems
- Lesson: Visual Story: The Journey of an Artificial Intelligence System from Data to Decision
- Lesson: How Artificial Intelligence Supports Managerial Decision-Making in Fast-Moving Markets
- Lesson: Forecasting and Trend Analysis with Artificial Intelligence for Non-Tech Leaders
- Lesson: Business Intelligence Improved by Simple Artificial Intelligence Solutions
- Lesson: Artificial Intelligence Systems in Finance: Credit, Risk, and Fraud Detection
- Lesson: Visual Story: Collaborative Decision-Making�Humans and Artificial Intelligence as Partners
- Lesson: Roles Artificial Intelligence Can Take Over and Where Humans Still Excel
- Lesson: Preparing Teams for Working with Artificial Intelligence and Automation
- Lesson: Upskilling Strategies for Non-Technical Professionals in an Artificial Intelligence World
- Lesson: Case Study: Organizational Change Management During Artificial Intelligence Adoption
- Lesson: Visual Story: The Human Touch�Jobs Evolving, Not Disappearing
- Lesson: The Critical Role of Data Quality and Availability in Artificial Intelligence Success
- Lesson: Privacy Concerns: What Data Artificial Intelligence Uses and Why it Matters
- Lesson: Addressing Bias and Discrimination in Artificial Intelligence Outputs
- Lesson: Case Study: Regulation and Compliance Challenges in Artificial Intelligence Initiatives
- Lesson: Visual Story: Navigating Artificial Intelligence�s Trust and Privacy Challenges
- Lesson: Types of Artificial Intelligence Systems Commonly Found in Business Environments
- Lesson: Understanding the Language: Artificial Intelligence, Machine Learning, Deep Learning
- Lesson: Artificial Intelligence Technologies that are Shaping Modern Business Operations
- Lesson: The Role of Cloud Computing in Widespread Artificial Intelligence Adoption
- Lesson: Visual Story: Mapping the Artificial Intelligence Technology Landscape in Simple Terms
- Lesson: Ethical Principles Every Artificial Intelligence Practitioner and User Should Understand
- Lesson: Recognizing and Avoiding Harmful Biases in Artificial Intelligence Decision-Making
- Lesson: Transparency and Accountability: Who is Responsible When Artificial Intelligence Goes Wrong
- Lesson: Building Fair and Trustworthy Artificial Intelligence in Business Contexts
- Lesson: Case Study: Ethics in Action�How Leading Companies Manage Artificial Intelligence
- Lesson: Major Artificial Intelligence Developments to Watch in the Next Five Years
- Lesson: Artificial Intelligence and Job Market Shifts: Preparing for What�s Next
- Lesson: Opportunities and Challenges for Entry-Level and Experienced Professionals
- Lesson: How Artificial Intelligence Enhances Human Strengths and Creativity
- Lesson: Visual Story: Possible Futures�Imagination Meets Artificial Intelligence Reality
- Lesson: Why Executives Should Invest Time in Understanding Artificial Intelligence Concepts
- Lesson: Developing an Artificial Intelligence Vision and Strategy for Business Success
- Lesson: Setting Goals and Measuring Return on Artificial Intelligence Investments
- Lesson: Case Study: Turning Artificial Intelligence from Buzzword to Strategic Asset
- Lesson: Visual Story: Artificial Intelligence in the Boardroom�Leading Digital Transformation
- Lesson: Consumer Technologies with Artificial Intelligence: From Phones to Smart Speakers
- Lesson: Artificial Intelligence Functions in Email, Calendar, and Office Applications
- Lesson: Chatbots and Virtual Assistants�Changing Communication for Businesses
- Lesson: Personal Productivity Enhanced by Artificial Intelligence Without Extra Effort
- Lesson: Visual Story: �A Day Enhanced by Artificial Intelligence� for a Business Professional
- Lesson: First Steps for Non-Technical Departments to Explore Artificial Intelligence Opportunities
- Lesson: Building Cross-Functional Artificial Intelligence Teams�Who Should Be Involved
- Lesson: Overcoming Obstacles: Uncertainty, Fear, and Resistance to Artificial Intelligence
- Lesson: Case Study: Pilot Projects�Testing Artificial Intelligence on a Small Scale
- Lesson: Visual Story: The Artificial Intelligence Adoption Playbook for Beginners
- Lesson: Bridging the Language Gap�Communicating Artificial Intelligence Needs and Goals
- Lesson: What Non-Technical Professionals Should Ask Artificial Intelligence Technologists
- Lesson: Participating in Artificial Intelligence Projects as a Domain Expert
- Lesson: Managing Artificial Intelligence Partnerships with External Vendors and Consultancies
- Lesson: Visual Story: Collaborative Artificial Intelligence Project�From Idea to Outcome
- Lesson: Creating Personalized Experiences for Clients Using Artificial Intelligence
- Lesson: Enhancing Customer Support with Artificial Intelligence Chatbots and Automation
- Lesson: Case Study: Improving Customer Loyalty and Retention via Artificial Intelligence
- Lesson: Limitations of Artificial Intelligence-Driven Customer Service Solutions
- Lesson: Visual Story: How Artificial Intelligence Shapes the Customer Journey in Modern Business
- Lesson: Helping Colleagues and Subordinates Understand Artificial Intelligence�s Benefits
- Lesson: Addressing Fear of Job Loss and Job Evolution Due to Artificial Intelligence
- Lesson: The Role of Leadership in Fostering Positive Attitudes Toward Artificial Intelligence
- Lesson: Training and Ongoing Support for Workers in Artificial Intelligence Transition Periods
- Lesson: Visual Story: Resilient Teams�Thriving in an Artificial Intelligence-Driven Environment
- Lesson: Best Practices in Putting Responsible Artificial Intelligence Policies in Place
- Lesson: Risk Management Considerations for Artificial Intelligence Projects in Business
- Lesson: Legal Perspectives on Artificial Intelligence Use in Different Jurisdictions
- Lesson: Case Study: Navigating Compliance and Responsible Artificial Intelligence Rollout
- Lesson: Visual Story: Building an Artificial Intelligence Risk and Responsibility Framework
- Lesson: How Artificial Intelligence Adoption Varies Among Nations and Cultures
- Lesson: Insights from International Artificial Intelligence Policies and Regulations
- Lesson: Social Impacts of Artificial Intelligence: Education, Healthcare, and Public Services
- Lesson: Global Artificial Intelligence Collaboration and Competitive Advantage
- Lesson: Visual Story: Artificial Intelligence�s Contribution to a Connected, Globalized World
- Lesson: Recapping Key Artificial Intelligence Concepts and Takeaways for Professionals
- Lesson: Reflecting on Ethical, Social, and Economic Impacts of Artificial Intelligence
- Lesson: Lifelong Learning�How to Stay Informed and Adapt with Emerging Technologies
- Lesson: Success Stories: Non-Technical Professionals Leading Artificial Intelligence Initiatives
- Lesson: Visual Story: Your Path Forward�Confidently Navigating the Artificial Intelligence Era
- Lesson: Resources
About this course
AI Essentials for Business Professionals introduces artificial intelligence without requiring a programming or data-science background. The course is aimed at professionals, managers and leaders who want to understand the technology well enough to discuss its uses and organizational implications.
The foundations distinguish AI and machine learning, examine pattern recognition and the role of data, and connect the concepts with familiar applications. Recommendation engines, fraud detection and chatbots provide examples across banking, healthcare and retail.
Connect AI with business decisions and work
Trend analysis, forecasting and business intelligence introduce decision-support applications. HR, marketing and supply-chain examples broaden the business perspective, while automation and skills development connect the material with changing work.
Privacy, data quality, bias, fairness and transparency are considered alongside adoption. Cloud computing and the vocabulary of machine learning, deep learning and neural networks provide further orientation to the technology landscape.
Work with specialists and plan adoption
Organizational strategy, measuring value and starting AI projects in nontechnical settings are part of the leadership discussion. Communicating needs and goals to vendors, consultants and internal technical teams connects AI literacy with collaboration.
Adapt for business AI literacy with PLR
A PLR license lets you modify, rebrand and resell the course. You could tailor it for nontechnical managers or place it at the beginning of a broader business-AI learning offer. Your own industry examples can help an audience connect the terminology with its daily decisions.
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| Selling the course | |
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| Can be sold as a physical product | YES |
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| Can offer Resale Rights | NO |
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| Rebranding and editing | |
| You may put your own name on the sales letter | YES |
| You may rename the product | YES |
| You may edit the sales material | YES |
| You may edit the content of the product | YES |
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| You may use the name(s) of the author/creator/seller of the Product | YES |
| Can translate the course into other languages | YES |
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| Can be used for YouTube or other free video sites | NO |
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Questions
What do I receive with a PLR or MRR license?
Downloadable package available; online curriculum listed. Check the file list and curriculum below for contents. PLR and MRR include a license key. Sales copy, editable formats and extras depend on the supplied package; check the listed contents.
What does lifetime access mean?
You can follow the course online for as long as it is available on Uthena. Downloadable files are guaranteed for 12 months from your purchase, so download them and keep your own copy.
Can I cancel my order?
Yes, within 7 days of your purchase: request a refund from your Uthena account. After 7 days an order can no longer be cancelled.
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Email info@uthena.com, or support@uthena.com about an order, or use the contact form. We reply within two business days.