Making Sense of Artificial Intelligence:

Making Sense of Artificial Intelligence:

This course is designed to introduce the course participants to the key ideas of Artificial Intelligence and its applications in various domains to illustrate the famous quote of Andrew Ng that’ AI is the new electricity’.
A survey of its history, a long ‘winter’, the recent resurgence and the current landscape of AI applications is covered. The course will help the participants develop an understanding of the scope, nature and context of Artificial Intelligence and Machine Learning.

At the end of the 2 weeks ,the course participants would be able to:
a. Appreciate the essential elements of Artificial Intelligence
b. Distinguish between Artificial Intelligence, Machine learning and Deep learning: terms that are often used interchangeably
c. Understand the barriers to the implementation of AI
d. Recognise and appreciate the drivers of the rapid growth in AI applications
e. Appreciate the potential of AI to disruptively transform the way we live and work

Target audience :
The course design and content is best suited to the young ( aged between 18 to 23 years), who are positioned to see this field unfolding during their years of preparation for the world of work.
Of course, precocious children from classes 9 to 12 would also certainly benefit from this program, although it may be a bit challenging for the ‘average’ student at this stage of schooling.
Adults would be well advised to pursue this course to have an understanding of the ‘shape of things to come’ and be prepared to respond to the unrelenting assault of these technologies on their traditional jobs. Day 3 and Day 4 content for week 1 is especially important for them.
This course also reflects on AI and arts, including music, poetry and literature, which is the focus of Day 5 of the 2nd week.
This course is not for only the technically inclined who seek a professional path in this field, but for everyone who wants to be aware of the biggest disruption, its challenges and opportunities in our history.
For the technically inclined, this would be a very useful ‘first step’ in the journey. It would have to be followed up with courses on Computational Thinking, Data structures, Algorithms, Heuristics and coding in Python and further courses on Mathematics and on Deep learning at depth. They would also need to learn the basics of neuroscience.
A program has been developed that includes these features and will be on offer from July 2018, to those who pass their 10+2 Board Examination this summer.


Flow of the 2 week program on ‘Making Sense of Artificial Intelligence’
Applications and implications ‘

This is a provisional, tentative set of posts. These posts may get re-sequenced and modified to make a more effective narrative and to respond to changes that happen in this very rapidly changing field. The posts from the resource person ( Professor MM Pant) are scheduled at about 7am, 10am, 1pm, 4pm and 7pm everyday from Monday to Friday. The posts comprise text messages, links to other articles, links to videos from global experts and audio posts from Professor MM Pant.
The course participants make their comments, queries and observations at their convenience, and receive responses a-synchronously. The learning experience is enhanced by a very rich social learning element.

First cohort ‪begins : Monday 16th April 2018‬ ; ‪ends Friday 27th April 2018‬

‪Thereafter there will be a fresh cohort every month, that will run for 2 weeks. ‬

Week1: Day1: A quick history of Artificial Intelligence
Topic 1.1.1: Timeline of progress of AI: key moments in its story
Topic 1.1.2: The Turing test
Topic 1.1.3: Narrow Intelligence, General Intelligence and Super Intelligence
Topic 1.1.4: The resurgence of AI: Investments and Opportunities in AI
Topic 1.1.5: Singularity: The future of AI

Week1: Day2: Artificial Intelligence and Robotics
Topic 1.2.1: The many dimensions of AI
Topic 1.2.2: Artificial Intelligence and Robotics
Topic 1.2.3: Robotics and challenges
Topic 1.2.4: Swarm Intelligence
Topic 1.2.5: Applications of Robots

Week1: Day 3: Automation of Knowledge Work

Topic 1.3.1: A Disruptive Technology with $5 to 7 trillion impact (McKinsey Report )
Topic 1.3.2: Benefits of RPA
Topic 1.3.3: Software Robots
Topic 1.3.4: The future of knowledge work
Topic 1.3.5: Robotic Process Automation

Week1: Day4: What can AI do today, and how?
Topic 1.4.1: AI can read, see and hear
Topic 1.4.2: The Mathematics needed by AI
Topic 1.4.3: Predictive modelling
Topic 1.4.4: Recommendation Engines
Topic 1.4.5: Chatbots

Week1: Day5: Machine Learning under the hood: meanings of the buzzwords
Topic 1.5.1: The  key algorithms
Topic 1.5.2: Supervised, Unsupervised and Reinforcement Learning,
Topic 1.5.3: Deep Learning
Topic 1.5.4: Support Vector Machines
Topic 1.5.5: Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks


Week2: Day1: Use case studies
Topic 2.1.1: Autonomous Transportation
Topic 2.1.2: Agriculture
Topic 2.1.3: Healthcare
Topic 2.1.4: Education : research and teaching
Topic 2.1.5: Home and service robots

Week2: Day2: The Technologies
Topic 2.2.1: IBM Watson
Topic 2.2.2: Google Tensorflow
Topic 2.2.3: Apple AI neural engine
Topic 2.2.4: Amazon Sagemaker
Topic 2.2.5: Mobile AI : AI on the Smartphone

Week2: Day 3: Legal, Ethical and Regulatory Matters

Topic 2.3.1: Legal dimensions of AI
Topic 2.3.2: World Economic Forum on ethical issues in AI
Topic 2.3.3: AI empowered warfare
Topic 2.3.4: Robot rights
Topic 2.3.5: What should be the Regulatory Framework for AI?

Week2: Day4: The future of work
Topic 2.4.1: Studies/reports on job displacements
Topic 2.4.2: Reduction/disappearance of the middle class
Topic 2.4.3: The Gig economy
Topic 2.4.4: Human dignity
Topic 2.4.5: The concept of a Universal Basic Income

Week2: Day5: AI and the Arts
Topic 2.5.1: A conversation on AI and the arts
Topic 2.5.2: Movies related to AI: The Terminator (1984); Steven Spielberg’s Movie : AI (2001); Ex Machina (2015)
Topic 2.5.3: Beyond Singularity : the play (2017)
Topic 2.5.4: Can Computers create poetry?
Topic 2.5.5: Arts in the age of AI

To know more about this course, send an e-mail to or send a Whatsapp message to : +919810073724 ( Prof. MM Pant)

About mmpant

Prof. M.M.Pant has a Ph.D in Computational Physics, along with a Professional Law Degree, and has been a practitioner in the fields of Law, IT enabled education and IT implementation. Drawing upon his experience in world class international institutions and having taught in various modes of Face-to-Face, Distance Learning and Technology Enhanced Training, Prof. Pant is now exploring the nature of institutions which will be successors to the IITs, which represented the 1960s, IIMs, which represented the 1970 and Open Universities which were the rage of 1980s & 90s. He believes that the convergence between various media and technologies would fundamentally alter the way learning would be created, packaged, and delivered to learners. His current activities are all directed toward actual implementation of these new age educational initiatives that transform education in the post Internet post WTO era.. Prof. Pant, has been a Former Pro-Vice Chancellor, Indira Gandhi National Open University (IGNOU) and has been on the faculty of IIT – Kanpur (the premier Engineering institution in India), MLNR Engineering College and Faculty & Visiting Professor - University of Western Ontario-Canada. He has been visiting scientist to research centers in Italy, England, Germany & Sweden and has delivered international lectures with about 80 papers published. During his association of almost 15 years with the IGNOU, Prof. Pant has served as the Director Computing and has been the Member of All Bodies (i.e. School boards, Academic council, Planning board, Finance committee and the Board of management). With his interest in Law, backed with practice of Law in a High Court, and his basic training in Science and IT, Prof. Pant has been particularly interested in the Cyber Law, Patent & trade mark issues, Intellectual Property Rights (IPR) issues etc. and has been involved with many activities, conferences on “Law & IT” Prof. Pant is presently; • Advisor to Media Lab Asia - Chairman of working group on ICT for Education, chairman of PRSG handling projects on ICT for education. • Lead Consultant for an ADB funded project for ICT in Basic Education in Uzbekistan • Member of the drafting Group for India’s National Policy on ICT in education • Chairman of the group creating books for class 11 and 12 students on ‘Computers and Communication Technology’ appointed by the NCERT • Preparing a ‘Theme Paper” for the NCTE in the area of ICT and Teacher Training • Advisor and mentor to several leading Indian and Multi-national Companies in the area of education. Prof. Pant has in the recent past been ; • Member – Board of Management – I I T, Delhi for 6 years (two consecutive terms) • One-man committee to create the Project Report & Legislation for Delhi IT-enabled Open University • Advisor to the Delhi Government on Asian Network of Major Cities Project (ANMC-21) distance learning project in association with Tokyo Metropolitan Government. • Chairman Board of Studies, All India Management Association With his mission to create and implement new business opportunities in the area of e-learning & learning facilitation, Prof. Pant has promoted Planet EDU Pvt. Ltd., as its Founder & Chairman, along with a team of highly experienced and skilled professionals from Education & Training, Operations, IT and Finance.
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