Emerging Technology for the Business Professional

Live Online (VILT) & Classroom Corporate Training Course

Certified IoT Practitioner edForce have signed partnership with Certnexus

Explore IoT, AI, and Data Science for business success with our ETBIZ course bundle. Prepare for Exam ETZ-210 and integrate emerging technologies effectively.

How can we help you?

  • CloudLabs

  • Projects

  • Assignments

  • 24x7 Support

  • Lifetime Access

Emerging Technology for the Business Professional


This course bundle provides comprehensive material on emerging technologies for business professionals, covering Internet of Things (IoT), Artificial Intelligence (AI), and Data Science (DS). Learners will acquire knowledge on integrating these technologies into business operations and addressing associated benefits and challenges.


By the end of this course, leaner will be able to:

  • Understand fundamental concepts and applications of IoT, AI, and DS.
  • Explore the benefits and challenges of integrating emerging technologies into business practices.
  • Gain insights into implementing AI solutions to enhance user experiences, segment audiences, secure assets, and optimize processes.
  • Learn data science fundamentals including types of data, lifecycle, acquisition, preparation, modeling, visualization, roles, benefits, challenges, and business use cases.
  • Identify IoT ingredients, strategies, infrastructure, business considerations, security concerns, organizational impacts, societal impacts, and best practices for implementation.


  • Foundational knowledge of business processes and concepts.
  • Basic understanding of information technology resources and systems.
  • Familiarity with networks, computers, and electronic devices used in enterprises.

Course Outline

Module 1: AI Fundamentals2024-02-20T17:43:43+05:30
  • Brief history of AI.
  • Core AI concepts.
Module 2: Functions of AI in Business2024-02-20T17:44:46+05:30
  • Improving user experiences.
  • Audience segmentation.
  • Asset security.
  • Process optimization.
Module 3: Implementing Business Requirements for AI2024-02-20T17:45:34+05:30
  • Design and data requirements.
  • Risks in AI implementation.
  • Developing an AI strategy.
Module 4: Data Science Fundamentals2024-02-20T17:47:25+05:30
  • Definition and types of data science.
  • The data science lifecycle.
Module 5: Data Science Implementation2024-02-20T17:48:12+05:30
  • Data acquisition and preparation.
  • Data modeling and visualization.
  • Data science roles.


Go to Top