Online Course – IBM AI Foundations for Business Certified Professional Internship

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קורס אונליין - התמחות מקצועית מוסמכת ב-IBM AI Foundations for Business של IBM

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding of artificial intelligence technologies in business
  • Understanding the principles of data science
  • Ability to implement artificial intelligence-based solutions
  • Understanding the processes required for successful implementation of artificial intelligence
  • Introductory knowledge of artificial intelligence
  • Introductory knowledge in data science
  • Understanding the Artificial Intelligence Scale

What you will learn in the course

Courses for which the course is suitable

  • Business managers
  • Project managers
  • Technology Managers
  • Data managers
  • Artificial Intelligence Consultants
  • Innovation managers
  • Business analysts
  • Digital Marketing Managers
  • Product Managers
  • Strategy Managers

Artificial Intelligence Specialization for Business Leaders

This specialization will explain and describe the general focus areas for business leaders from whom to consider AI-based solutions to business challenges.

Specialization courses

  • First course: A business-focused overview of fundamental artificial intelligence technologies and positions.
  • Second course: Knowledge of data science technologies and principles.
  • Third course: Introducing the “Artificial Intelligence Ladder” – a framework for understanding the work and processes required for success in implementing artificial intelligence-based solutions.

Applied learning project

Each course includes “Comprehension Tests,” designed to assess each learner’s ability to understand the principles presented and to use these principles in practice. These principles are related to introductory knowledge of:

  • artificial intelligence
  • Data Science
  • The Artificial Intelligence Scale

Details of the courses that make up the specialization

Introduction to Artificial Intelligence (AI)

Course 1

  • Duration: 13 hours
  • Rating: 4.7 (14,993 ratings)

What you’ll learn:

  • Describe what artificial intelligence is and explain the key concepts related to it.
  • Demonstrate how AI applications and use cases can transform our lives and work.
  • This is the potential and impact of AI on transforming businesses and professions.
  • Describe the problems, limitations, and ethical dilemmas surrounding AI.

Skills you will gain:

  • Generative Artificial Intelligence
  • AI Ethics
  • Natural language processing
  • Machine learning

What is data science?

Course 2

  • Duration: 11 hours
  • Rating: 4.7 (72,391 ratings)

What you’ll learn:

  • Define what data science is and its importance in a data-driven world.
  • Describe the different categories that can lead to a career in data science.
  • Summarize advice given by experienced data science professionals to those taking their first steps in the field.
  • Explain why data science is considered the most in-demand profession of the 21st century.

Skills you will gain:

  • Data Science
  • Huge data
  • Machine learning
  • Deep learning
  • Data mining

The AI ​​Ladder: A Path to Deploying AI in Your Organization

Course 3

  • Duration: 2 hours
  • Rating: 4.6 (351 ratings)

What you’ll learn:

  • This course is designed for business and technical professionals involved in making strategic decisions focused on bringing AI to their organizations.
  • Using a conceptual model called the “AI Ladder,” participants in this course will learn the requirements, terms, and concepts associated with successfully developing and deploying AI solutions in their organization.
  • After completing the course, you will be able to explain and describe each of the steps required for success in building and deploying AI solutions in your business organization.

Skills you will gain:

  • Artificial Intelligence (AI)
  • Analytics
  • leadership
  • Management
  • Innovation

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