AIBIZ (Exam AIZ-110) Course

AIBIZ (Exam AIZ-110) Artificial Intelligence for Business Course: Master AI applications in business, machine learning, data analysis, and predictive modeling.

In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. However, AI has been given new life in the last few years. 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 must harness the power of AI.

Objectives

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.

Outline

Below is the course content, which includes a detailed outline of topics and materials covered in the course. Explore and enhance your knowledge!

Lesson 1: AI Fundamentals

  • Topic A: AI Concepts
  • Topic B: Approaches to Machine Learning and Deep Learning

Lesson 2: AI Implementations

  • Topic A: Data Science
  • Topic B: Search Engines
  • Topic C: Natural Language Processing
  • Topic D: Computer Vision
  • Topic E: Robotics

Lesson 3: The Impact of AI

  • Topic A: Benefits of AI
  • Topic B: Challenges of AI
  • Topic C: Business Use Cases for AI

Pre-Requisite

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

Methodology

  • Batch-wise training
  • Practical hands-on training with real-time examples

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