ROBOTICS – AI (Artificial Intelligence)

Course Overview

AI and Robots today are roving Mars, hoovering our floors, building cars and entertaining us in films. And, if you share Stephen Hawking’s world view, the super intelligent ones may one day bring about the end of the human race.

If you’d like to find out more, but don’t have Hawking’s brain or an advanced qualification in cybernetics, this course is for you. You won’t require a soldering iron, but you’ll explore the basics of robot design, control and behaviour through a series of simulations and AI model.

The objective of the course is to present an overview of artificial intelligence (AI) principles and approaches. Develop a basic understanding of the building blocks of AI and robotics as presented in terms of intelligent agents: Search, Knowledge representation, inference, logic, and learning. Students 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.

Course Schedule

Request Group Training

Target Audience

Business Leaders ,CIOs & Heads Of IT ,Chief Technology Officers ,Business Transformation Officers ,System And Business Analysts , Project Managers ,Strategy Leaders ,Solution And Enterprise Architects

Course Objectives

? Describe different forms of robot and AI applications where they may be used.

? Determine the appropriate commands to allow a robot/AI to achieve particular tasks using information from sensors

? Appreciate how aspects of robotics and AI can be applied in many different scenarios

Course Prerequisites

No Prerequisites

Course Outline

Data science, AI & ML concepts

? Data & its advantages

? Different Algorithms of Machine Learning

? Deep Learning concepts, Bots

? Simplify Regression, Regularization, Neural Networks, Natural Language Processing, Computer Vision etc.

? Do you really need Artificial Intelligence? How does AI help?

AI based projects and business benefits

? Best applications of ML & AI

? Best Data storage and utilization strategies

Technology & Data Platforms and benefits and our future with AI and Robotics

? Discover various tools like R, Python, Hadoop,

? What jobs will stay in the future?

? Is AI a threat to humanity’s survival?

? What level of AI will you accept in your lives? Has it already crossed that limit?

Hands-on project & AI / Robotics strategy

? Device a strategy and derive business benefits.

? Debate on best outcomes of your AI strategy

RPA process as a Business

? RPA, AI, Deep Learning and implications for business

? Digital transformation strategies and keys for innovation.

? Project management approach in order to identify the potential automation

Opportunities.

? Automation management frameworks, decision-making models and the best practices in automation management.

? Change management processes and the governance models in successful

implementation of RPA/AI at various levels of the enterprises.

? Digital disruption and new opportunities in different Business domain

? Design Thinking as a strategy for innovation