Course Duration


Course Objectives

By 2022, we will have over 90 billion devices connected to the Internet of Things. According to McKinsey Global Institute, IoT will have an economic impact of up to $11 trillion by 2025. There will be 250 million IoT-connected automobiles creating new advancements in transportation. Internet of Things is surely taking our world by storm.

The objective of Telecontran’s “Business Innovation through Artificial Intelligence (BIAI) and IOT” workshop is to present an overview of artificial intelligence (AI) with IOT principles and approaches, develop a basic understanding of the building blocks of AI as presented in terms of intelligent agents: Search, Knowledge representation, inference, logic, and learning. Participants will implement a small AI system in a team environment. The knowledge of artificial intelligence plays a considerable role in some applications students develop for courses in the program.

After successful completion of this workshop, participants will be able to

  • Design a knowledge based system using sensor data
  • Be familiar with terminology used in this topical area,
  • Read and analyze important historical and current trends addressing artificial intelligence.

Target Audience

This course targets Software Developers, Engineers, Data Analysts, Big Data Professionals, Managers, Executives, Directors and Strategic Planners who are engaged with operational and business aspects of Internet of Things.

Course Curriculum

Decision Support and Use Cases
  • Changes in Technology
  • How technology is being used in business cases
  • Potential use of decision support
  • Opportunities and Challenges
Predictive Modeling Basics
  • Types of Predictive Models
  • Use of Machine Learning
  • Types of Machine Learning Algorithms
  • Business and Data Relationships
  • Impact of different types of industry

Course Curriculum

Consumerism and Operationalization
  • Business Cases
  • Individual vs. Population
  • Overall outreach and productivity
  • Decrease Costs
Advanced Topics in Operationalization
  • Guidance and recommendations for client business

Course Curriculum

Projects (With R / Python Programming)
  • Linear and Multiple regression
  • Decision Tree
  • Market Basket Analysis
  • Natural Language Processing
  • Text Mining
  • Neural Network
Case Studies
  • Computer vision: analytics that run on edge, cloud, hybrid model to recognize patterns, anomalies , behaviors (i.e. Nayan)
  • Predictive Analysis: detect pattern recognition, anomalies and future prediction
  • Safe City Platforms & Capabilities: software related tools used to manage various safety / security aspects of a community in form of a campus / community / development
  • Crime prediction: machine learning enhanced software using existing data or real time events for predicting likelihood of certain type of crimes
  • Forensic investigation: analyze video streams, pictures, audio, meta data of another databases of security / identity that can utilized for post / real time analysis of the crime / terror events
  • Smart security/defence systems: advanced AI / Autonomous technologies with variety of end devices ( an autonomous patrol car / mini patrol device /robot /small autonomous boats / mobile command vehicles /SUVs equipped with cameras of various analytics

Public Schedule

Training Date
“Please feel free to contact for any further details at