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Overview

Artificial Intelligence for Business Professionals Training

To be an effective AI team member, you require fundamental knowledge to drive results. CertNexus AIBIZ training covers foundational terminology, technical concepts, and business use cases so you can actively participate or lead your next AI project.

In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider—it is a truly disruptive force, one that promises to deliver an entirely new level of results for all aspects of the business. Even organizations that resist adopting AI will feel its impact. If the organization wants to thrive and survive in this transforming business landscape, it will need to harness the power of AI.

Despite its promises, AI can seem like a daunting concept for business professionals. How can you hope to apply AI to your own business if you can’t see beyond the vague buzzwords and hype? That’s why this course was created: to give you the essential knowledge of AI you’ll need to steer the business forward

Target Student:

This course is primarily designed for managers, business leaders, and other decision makers who are interested in growing the business by leveraging the power of AI. Other individuals who wish to explore basic AI concepts are also candidates for this course.
This course is also designed to assist students in preparing for the CertNexus AIBIZ™ (Exam AIZ-110) credential.

Course Objectives:

In this course, you will identify how AI can both benefit and challenge the business.
You will:

- Describe AI fundamentals
- Analyze how AI is implemented in various technical disciplines
- Identify the impact that AI has on the business and the world at large

Requirements

To ensure your success in this course, you should have foundational knowledge of business processes and general concepts. You should also have at least a basic understanding of information technology resources and systems, including networks, computers, and other electronic devices used in the enterprise.

Course Content:

- 1. Lesson 1: AI Fundamentals
    - Topic A: AI Concepts
      - Artificial Intelligence
      - Machine Learning
      - Deep Learning
      - How AI Concepts Relate
      - Machine Learning vs. Deep Learning: An Example
      - Machine Learning vs. Deep Learning: The Choice
      - A Brief History of AI
      - Identifying Fundamental AI Concepts
    - Topic B: Approaches to Machine Learning and Deep Learning
      - Machine Learning Approaches
      - Supervised Learning
      - Supervised Learning Process
      - Unsupervised Learning
      - Unsupervised Learning Process
      - Reinforcement Learning
      - Deep Learning Approaches
      - Artificial Neural Networks
      - Feedforward Neural Networks
      - Recurrent Neural Networks
      - Identifying Approaches to Machine Learning and Deep Learning
  2. Lesson 2: AI Implementations
    - Topic A: Data Science
      - Data Science
      - AI Applications for Data Science
      - Discussing Data Science
    - Topic B: Search Engines
      - Search Engines
      - AI Applications for Search Engines
      - Discussing Search Engines
    - Topic C: Natural Language Processing
      - Natural Language Processing
      - AI Applications for NLP
      - Discussing NLP
    - Topic D: Computer Vision
      - Computer Vision
      - AI Applications for Computer Vision
      - Discussing Computer Vision
    - Topic E: Robotics
      - Robotics
      - AI Applications for Robotics
      - Discussing Robotics
  3. Lesson 3: The Impact of AI
    - Topic A: Benefits of AI
      - Business Considerations
      - Economic Benefits
      - Time-Saving Benefits
      - Problem-Solving Benefits
      - Error Reduction Benefits
      - Human Safety Benefits
      - Human Comfort Benefits
      - Environmental Benefits
      - Additional Benefits
      - Identifying the Benefits of AI
    - Topic B: Challenges of AI
      - The Ethics of AI
      - Human Labor Issues
      - Privacy Issues
      - Bias Issues
      - Safety Issues
      - Legal Issues
      - Additional Issues
      - Identifying the Challenges of AI
    - Topic C: Business Use Cases for AI
      - Healthcare
      - Sales and Marketing
      - Finance and Economics
      - IT and Cybersecurity
      - Manufacturing
      - Transportation
      - Critical Infrastructure
      - Additional Use Cases
      - The Future of AI
      - Identifying Business Use Cases for AI
Appendix A: Mapping Course Content to AIBIZ™ (Exam AIZ-110)