Preparing India for the 4th Industrial Age:

Preparing India for the 4th Industrial Age :

In January 2016, at the World Economic Forum in Davos, Professor Klaus Schwab drew attention to the arrival of the 4th Industrial Revolution. Prime Minister Narendra Modi’s visit to Davos this January seems to have significantly influenced the Niti Aayog to wake up from its 2 year slumber to announce a mission on AI, Machine Learning ,Blockchains, Big Data, 3D printing, Internet of Things.
This is a good sign, but in the present and future it is the start ups, the established industries and the educators that will drive the change at the desired speeds.

Inspired by Margaret Mead’s view that “ Never doubt that a small group of thoughtful committed citizens can change the world; indeed, it’s the only thing that ever has ” and further supported by the Nobel Prize winning work of Elinor Ostrom, negating the axiomatic ‘ tragedy of the commons’ of Garrett Hardin to demonstrate convincingly that common resources can be successfully managed without government regulation or privatisation.

Building on these principles and using the model of ‘heutagogy’ for lifelong learning, we have designed and are offering a program for School leavers to be ready for the Age of Artificial Intelligence and Machine Learning. In order to foster the spirit of lifelong learning, all learners will automatically be enrolled as members of a lifelong learning community. In the first year of the program, all learners will do a course on ‘ learning how to learn’ to enable them to continue to pursue their learning and be updated as per their needs. In order to pursue a career as an IT Professional, especially in the rapidly progressing field of AI and ML, being an autonomous Self-directed Learner is Critical.
After completing the course, they will have one year of support on the topics of their studies through a monthly newsletter.

As students successfully pass their School Leaving examinations this summer, they wonder what lies in the future? They do have a feel that they are entering a different world from that of their parents and grandparents: the world of AI.

ARTIFICIAL INTELLIGENCE Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. “AI is the new electricity “ says Andrew NG .

In the immediate foreseeable future these technologies will continue to improve and will reach human levels. In about 10 years Artificial Intelligence (AI) will be able to communicate with humans in unstructured English using text or voice, navigate in an unprepared environment and will have some rudimentary common sense. Artificial Intelligence (AI) will create the best opportunities in the coming years.

The first offering as part of this initiative is the first year of a 3 year program designed for School leavers to be developed as future AI professionals.

The program is designed such that it can be pursued concurrently with any other program of choice, with the benefit that no matter what field of work a learner chooses, the person would be well equipped to deal with the transformations that AI brings to that domain.

The 3 year program is mapped at levels 3,4 and 5 of the UK’s National Qualification Framework.

Only the first year of the program, that is the Level 3 Certificate proposed program structure is being detailed below.

Structure of the qualification
The Level 3 Certification, in Artificial Intelligence and Machine Learning (AIML301) is made up of 11 mandatory course modules and 1 mandatory project module totalling to a 120 credit programme.
Each credit is equivalent to 10 guided learning hours. The mention of Guided Learning Hours (GLH) herein is a reference to the total amount of time that a learner is expected to put for each unit and includes Face-to-face interaction, Seminars, Workshops, Assignments, Self-study, Project work, Group work and final assessment.

The learners will be introduced to the fundamental principles of computational Thinking, algorithms and programming. They will also study mathematics ( linear algebra, calculus and statistics ) as applied to Artificial Intelligence and Machine Learning. This approach is quite different from that of pursuing a degree in Mathematics.
They will learn of the story of evolution of AI and its recent drivers and applications.
They will learn the relationship between AI, Machine learning and deep learning. Also about the most visible applications of Predictive Modelling, Recommendation Engines and Chatbots. This will be topped with a project where all this learning will come together.
They will be goaded and guided to becoming lifelong learners, as in this field the ability to learn to learn yourself is much more important than all the knowledge that you have acquired so far.

List of courses in the first year beginning July 2018:

L3AIML01: The AI Landscape : Applications and Implications ( 5 credits)
L3AIML02: Introduction to Python ( 5 credits)
L3AIML03: Learning how to Learn ( 10 credits)
L3AIML04: Computational Thinking and Algorithms ( 10 credits)
L3AIML05: Basic Maths for AI and ML ( 10 credits)
L3AIML06: Machine Learning and Deep Learning ( 10 credits)
L3AIML07: Machine Learning with Python ( 10 credits)
L3AIML08: Predictor Models ( 5 credits)
L3AIML09: Recommendation Engines ( 5 credits)
L3AIML10: Natural Language Processing ( 5 credits)
L3AIML11: Chatbots ( 5 credits)
L3AIML11: Project work (40 credits)

Having studied Computer Science at School is not a pre-requisite. But having an IELTS score of more than 6.5 or equivalent is a requirement for admission to this program.
Apart from imparting knowledge in programming, mathematics,Computational Thinking and specific topics in Artificial Intelligence and Machine Learning, a Learner makes several projects during this time. The goal of these projects is to go beyond evidence of ‘can do’ to exhibition of ‘has done’.
The project activities help develop desirable personality traits for AI professionals comprising analytical thinking, curiosity, patience, discipline, eye for detail and the ability to work independently or collaboratively as per need.

Another innovation that we are building into the program is to assign a certain percentage of the value of any future Intellectual Property that is unlocked n future from any project. Another percentage of this value would be assigned to the owner of the ‘co-learning space’ where the project work is carried out.

For those who do not want to get into coding but want to appreciate and understand the new Business landscape there is another program detailed below:

Business 4.0 : Running, Managing or leading a business in the 4th Industrial Age

Business is at the cusp of a new digital future. A perfect storm of technologies — cloud computing, artificial intelligence (AI), automation, big data and analytics, and the Internet of things (IoT) – is transforming industry after industry. This transformation is often referred to as Industry 4.0 in Germany.

A student pursuing BBA, MBA or a young professional would do well to keep himself informed of and acquainted with these fast paced developments so that s(he) can readily adapt to the changing world and being well informed, benefit from the new emerging opportunities.

This program grew out of the interactions and feedback that I received to an evening lecture that I gave at The All India Management Association On 24th October 2017 On “ Artificial Intelligence, Machine Learning and Management”. I have for the last couple of years been exploring the use of Whatsapp and mobile phones for ‘lifelong learning’ and this theme of Artificial Intelligence and Machine Learning seemed like a promising candidate for an extended program for continuous professional development program for both practicing managers as well as for those pursuing their management courses at the Bachelors or Masters Level. I identified a list of 30 topics that would cover the entire gamut of what is being referred to as the 4th Industrial Revolution. In our format of ‘ Learning weekends with Whatsapp’ they can be covered in 30 weeks. Allowing for some inevitable slack, they can be comfortably pursued within the duration of an academic year. Each lecture is designed to introduce the theme in an easily comprehensible way with links for further exploration and indicating its importance for a successful manager.
As there are very rapid developments in this field, this list of topics may be revised, augmented, merged or deleted.

Proposed list of weekly themes :

#1: What is the 4th Industrial Revolution ?
#2: Technological MegaTrends and Success Skills in the 4th Industrial Age
#3: Big Data : The Big Picture
#4:Blockchain : Demystified

#5: Digital Manufacturing/ 3 D Printing

6: The Internet of Things
7: Robots and Drones
8: Augmented and Virtual Reality Applications

9: The future of work : the Gig economy
10: Computational Thinking
11: Algorithms
#12: The Landscape of AI: Applications and Implications
13: AI and allied terms
14: AI and Robotics
15: Robotic process automation
16: Machine Learning and Deep Learning
17: Deep learning at some depth
18: Predictor Models
19: Recommendation Engines
20: Natural Language Processing
21: Chatbots
22: Cognitive Computing : IBM Watson
23: Google Tensorflow
24: Amazon Spacemaker
25: AI on mobile devices
#26: Marketing 4.0
#27: AI driven Fintech
#28: HR in the 4th Industrial Age
#29: The future of retail
30: Leadership in the 4th Industrial Age: enabling the transition

Condensed Business 4.0 :

For those who would like to have a glimpse of the Business 4.0 program before committing more time, energy and financial resources can pursue the condensed program of 10 courses marked with a # sign and listed at numbers 1,2,3,4,5,12,26,27,28 and 29.
Delivery modes :
The program is best suited to delivery with Whatsapp on mobiles.
But it can also be delivered in flexible configurations as lectures of 60/90 minutes depending upon the needs of the learners or a suitable blend of lectures and Self-learning.

 

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Why this is the best time to be an educator?

Why this is the best time to be an educator?

Reflections on the first day of the New Year 2018:

To an observer whose sights are on the developing technological horizon of Big Data, the Internet of Things, Robotics, Drones and enhanced Machine Intelligence competing with humans, it is clear that as we enter the last years of the 2nd decade of the 21st Century, the next 5 to 10 years are likely to emerge as a new Renaissance in education.

We now realise that the Teacher is far more important than the expert consultant, because an expert can demonstrate his or her skill in context, but it is the Teacher that creates an expert practitioner out of an initially ignorant or incompetent person. Education is increasingly becoming learner centric and knowledge is mutually created by the teacher and learner.

In fact, Science the most glorious of human endeavours flourishes because it is a community of Scientists that drives it, and not a hierarchy of bureaucrats and politicians.

We must prepare to move from the ‘art of teaching’ to ‘the Science of learning’, and just as the microscope, telescope and other instruments aided Scientific progress by providing data to be put into contexts, patterns and insights, it is the Computer, Internet, variety of sensors and allied technologies that will drive this transition from a qualitative uncertain authority based model to a data driven one that allows every learner to learn.

The pedagogy of mobile education with adoption of Heutagogy, managing the learning of self-directed life long learners will become one of the important competencies of the new age teacher.

We call this emergent model ‘ The Augmented Classroom Lecture’ which performs a space shift, device shift and time-shift of the traditional classroom lecture.

It incorporates the ideas of ‘flipped learning’, mastery learning and personalisation of the learning experience. We will get more drawn to the significance and importance of ‘social learning ‘ a component that gets significantly enhanced with technology and the size of the learning cohort.
Teachers were at some point in history respected as much as Gods, and teaching was a ‘calling’. In the industrially dominated era, they were often treated as ‘machines’ to produce trained humans who could carry out those functions in factories that could not be carried out by machines. Thus ‘ learning outcomes ‘ assembly line production and quality control processes became dominant.

As we contemplate on the future and specifically of the role of educators and learning, a few insights emerge.

In the foreseeable future, both the human populations and its longevity will be increasing significantly.

“Millennials will have over 13 jobs in their lifetime and the median­ time they will spend in a job will be three years … when they switch from one job to the next, the skills they will need in that next job will usually be something they not only don’t know but in many cases didn’t even exist when they went to school,” said Professor Koller, co-founder of Coursera .
The formal education system, is no longer equipped to cope with the emerging challenges, and the big opportunity is for educators to emerge from the background and take centre stage in addressing the challenges.
Education is constrained by a tradition of preparing clergy for the church or academics for the academia, and is not readily able to respond to the challenges of a very rapidly changing world.
Even in the classical space of learning and research there are many examples of non-recognition of talent or brilliance. For instance John Gurdon was while at Eton considered completely unsuitable for learning Science ( in fact his report card said that this would be a ridiculous idea, and a waste of time of all concerned) would later win a Nobel Prize in Medicine.
The biggest anomaly is that while we teach a number of subjects, we still do not teach learning. Nor do we have a proper system of assessment, and no examination Board declares the error margins inherent in the design of their systems.
It is said that the Internet changes everything, and accessing the Internet through the mobile, even more so. There is a movement in the developed world that ‘ sitting is the new smoking’ which basically draws attention to the fact that sitting at desks ( whether at the office or at School or College) beyond brief periods for rest is significantly harmful, comparable to the harmful effects of smoking.
So we need of have new learning spaces outside the classroom where learners can move around and explore. With handheld devices for content flow, and assessment spending time in the real world rather than in the cloistered existence of academia may be the way. Such spaces are well described as ‘co-learning’ spaces rather than as classrooms or laboratories.

In the context of law ( especially criminal law) it is said that ‘Ignorantia juris non excusat (Latin for “ignorance of the law excuses no one”).

But in real life ” ignorance itself is no excuse”.

So learn, all that you can learn. You never know when not knowing something can be harmful.

The role of the educator is to remove ignorance. Sometimes the learner may know what he needs to learn. But more often in the mode of Socratic questioning, the educator takes the learner through the 4 stages of unknown incompetence, known incompetence, known competence and finally unknown competence. And learning happens in several ways from multiple sources.

There is a saying that ‘when the learner is ready, the teacher will appear’.
And the role of the educator as subject matter expert is secondary to the role of creating conditions in which learning happens. For this the future educator has to blend nature, technology, data and human and machine intelligence to ensure that every learner is able to achieve his desired learning goals.

The main point is that education as a cure or remedy for ignorance is the new reality, and is equally applicable to health, justice, relationships and nation and world building.

With millions of screens on which educators can be viewed both synchronously and asynchronously, we should not be surprised if a decade from now ‘educators’ will become the new celebrities.

Who can believe today that great actors at one time worked as salaried employees in theatre companies and film studios.

In a decade or so, salaried teachers at School or College will be a thing of the past and celebrity RockStar teachers and professors will have millions of learners from all over the world following them on YouTube, Facebook or Twitter.

Educators who shape minds ( not only young minds, but throughout the life-span as well) are therefore very important now, and now indeed is the best time to be an educator.

Happy New Year 2018 !!!

 

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Weekend courses in February 2018

February 2018: Scheduled Weekend Whatsapp Courses

1: Saturday 3rd and Sunday 4th February 2018: LW1: AI & ML in Education: Applications and Implications

2: Saturday 10th and Sunday 11th February 2018: LW2: What is worth learning?

3: Saturday 17th and Sunday 18th February 2018: LW3: Awaken the Innovator within ( you)

4: Saturday 24th and Sunday 25th February 2018: LW4: Preparing for a hundred year life

B: For each of the courses LW1,LW2,LW3 and LW4 remit the fee of Rs 1000/- and GST @ 18% of Rs 180/- ( total Rs 1180/- ) by PayTM to: MM Pant : 9810073724
Then send a Whatsapp message to:
MM Pant : 9810073724 with the following information:
1: Name: First and Last
2: Mobile phone number linked to Whatsapp
3: Course Code and course name. Please make a separate transaction for each course.
4: PayTM transaction number/ screenshot
5: Your brief profile ( optional)

You will be added to the list of registrants for the course. Please perform a separate transaction for each course.

Each course group will be activated on the previous Friday before the course schedule, and closed on the following Tuesday after the course is over.

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Featured Whatsapp courses for December 2017

The schedule for featured Whatsapp courses For December 2017:

1: Saturday 2nd and Sunday 3rd December: LW1: Overcoming Maths Phobia
2: Monday 4th December to Friday 8th : MMP01: Becoming a lifelong learner

3: Saturday 9th and Sunday 10th December : LW5: The Rich Indian Learning Heritage
4: Monday 11th December to Friday 15th December : MMP07: Making sense of Artificial Intelligence

5: Saturday 16th and Sunday 17th December: LW3: Preparing for a 100 year life
6: Monday 18th December to Friday 22nd December : MMP12: Computational Thinking

7: Saturday 23rd and Sunday 24th December : LW4: What if you lost your job tomorrow?
8: Monday 25th December to Friday 29th December : MMP15: Finding Meaning and purpose in your life

9: Saturday 30th and Sunday 31st December : LW2: What is worth Learning ?

Detailed course structure:
MMP01: Become a lifelong learner:
Day 1: The importance of becoming a lifelong learner
1.1:Why lifelong learning is so important now?
1.2:UNESCO and World Bank on lifelong learning
1.3:Lifelong learning for career success
1.4: Lifelong learning in an era of increasing longevity
1.5: Well known and successful lifelong learners

Day 2: Awaken the learner within
2.1: The habit of reading: learning from literature
2.2:Knowing what to learn?
2.3:Expanding the definition of learning
2.4: The characteristics of a lifelong learner
2.5: Grit, perseverance and a growth mindset

Day 3: Steps to becoming a lifelong learner
3.1: Become a more curious person. Ask questions.
3.2: The do’s of lifelong learning
3.3: The don’ts for lifelong learning
3.4: The journey to lifelong learning
3.5: The future of work

Day 4: Improving your lifelong learning abilities
4.1: What is worth Learning?
4.2: Learning at different stages of life
4.3: Applying what you learn
4.4: The Feynman technique for learning
4.5: Making learning stick

Day 5: How to learn anything?
5.1: Learning how to learn
5.2: Strategy and Plan for learning anything new
5.3: Learning resources on the Internet
5.4: Using YouTube for learning
5.5: Learning from Apps and MOOCs

MMP07: Making sense of Artificial Intelligence:

Day 1: What is Artificial Intelligence?
1.1: The Genesis and the present Landscape
1.2: The rapid rise of the under-achiever (AI).
1.3: The Technology: IBM Watson, Google Tensorflow and Apple AI neural engine
1.4: AI and Robotics
1.5: The Turing Test

Day 2: AI: a many splendoured thing
2.1: Narrow Intelligence, General Intelligence & Super Intelligence
2.2: AI, Machine learning and Deep learning
2.3: Approaches to machine learning
2.4: Big Data and AI
2.5: The search for a master algorithm

Day 3: What can AI do today ? Applications of Deep Learning
3.1: Recommendation Engines
3.2: Speech Recognition
3.3: Computer Vision
3.4: Autonomous Transportation
3.5: The Mathematics behind the AI

Day 4: Chatbots:
4.1: What is a chatbot ?
4.2: A taxonomy of chatbots
4.3: The process of building chatbots
4.4: The popular Chatbots
4.5: Tools for Building chatbots

 

Day 5: Ethical Matters
5.1: The ethical challenges arising from AI
5.2:World economic forum on ethical issues in AI
5.3:Threats to privacy and human dignity
5.4: Singularity: the future of AI
5.5: Resolving the classic trolley Problem

MMP12: Computational Thinking

Monday : Day 1: What is CT?
1.1: The origin of the term CT
1.2: Various Definitions of CT and their elaborations
1.3: Computational Thinking as automation of abstraction
1.4: CT in the age of Artificial Intelligence
1.5: CT and Deep Learning

Tuesday : Day 2: Computer Literacy and similar phrases
2.1: Computer Literacy and its use
2.2: Computer Programming and benefits of knowing it
2.3: Why does knowing CT matter?
2.4: Information Fluency
2.5: A contrarian view

Wednesday : Day 3 : The main elements of CT
3.1: Decomposition
3.2: Pattern Recognition
3.3: Abstraction
3.4: Algorithms
3.5: Evaluation

Thursday : Day 4: CT and Complex Problem Solving
4.1: CT in the Physical Sciences
4.2: CT in the Life Sciences
4.3: Modelling and Simulation
4.4: Data Analysis and Visualisation
4.5: Computational Thinking as Liberal Education

Friday : Day 5: How to develop CT skills?
5.1: CT at Elementary School
5.2: CT at Middle School
5.3: CT at Secondary School
5.4: CT at University level
5.5: CT for lifelong learners: MOOCs

MMP15: Finding Meaning and purpose in your life

Module 1: The meaning of one’s life?
1.1: An unexamined life is not worth living: Socrates
1.2: Nietzsche: He who has a ‘why’ to live can bear almost any ‘how’.
1.3: The Japanese concept of Ikigai
1.4: Does life have a purpose ?
1.5: What is the path ?

Module 2: How will you measure your life?
2.1: Why do I exist ?
2.2: Career
2.3: Relationships
2.4: Integrity
2.5: Seeking Inspiration

Module 3: Aids to find your purpose in life
3.1: What motivates you ?
3.2: Your intrinsic/inherent nature
3.3: Overcoming despair
3.4: Achieving happiness
3.5: Other questions to ask ? Do my life activities have any lasting value?

Module 4: Approaches to finding your purpose:
4.1: What kind of life is worth living?
4.2: The Venn diagram technique
4.3: The exhaustive list technique
4.4: The eulogy technique
4.5: Spirituality

Module 5: Aligning your living to your life’s purpose
5.1: The transition/evolution approach
5.2: Adopting an additional way aligned to the life’s purpose
5.3: Taking a leap ( quantum jump)
5.4: Introspection and Reflection
5.5: Maintaining an attitude of gratitude

LW1: Overcoming Maths Phobia:
Day 1: Understanding the challenges
1.1: Myths and misconceptions about learning Maths
1.2: The what and why of Maths Phobia ?
1.3: Symptoms of Maths Phobia and a scale for its measurement
1.4: Causes/ drivers of Maths Phobia
1.5: Maths as solving mysteries

Day 2: The action plan : overcoming the challenges
2.1: 21st century methods of learning Maths
2.2: Good Learning habits and other strategies of overcoming maths phobia
2.3: Mastering the vocabulary of Maths and tackling maths exams
2.4: Cognitive Behavioural Therapy
2.5: Wrapping Up: The solution to maths phobia is gaining confidence. Become one who knows and knows that he knows


LW2: What is worth learning?

Day 1: The overarching questions?
1.1: Utilitarianism: Jeremy Bentham, John Stuart Mill
1.2: Useless Knowledge: Bertrand Russell
1.3: What not to do?: The Sabre tooth Curriculum ,Tale of the parrot And The Dragon Slayer Curriculum
1.4: The Harvard Classics
1.5: Learning at different stages of life

 

Day 2: A learning plan
2.1: Timeless Lifeskills
2.2: Contemporary Knowledge and Skills
2.3: Urgent Skills
2.4: Creating a ‘to learn’ list
2.5: Wrapping Up


LW3: Preparing for a 100 year life
Day 1: Understanding the Ageing phenomenon
1.1: Drivers of increasing longevity
1.2: What Science says about ageing?
1.3: Lifestyle to promote healthy ageing
1.4: Ageing Gracefully
1.5: About death and dying: Free radicals ; Telomeres

Day 2: The action plan : old age a blessing not a curse
2.1: Become a lifelong learner
2.2: Finding meaning and purpose in life
2.3: Financial arrangements for old age
2.4: Emotional and relationships issues
2.5: Wrapping Up: Developing a Lifestyle plan


LW4: If you lost your job tomorrow?
Day 1: MegaTrends affecting the future of work
1.1: Drivers of job losses and job displacements : not if but when ?
1.2: Assessing your entrepreneurship potential
1.3: Aligning yourself to the Gig economy
1.4: Re-Skilling yourself ( what is worth learning?)
1.5: Search for your Ikigai

Day 2: Managing the transition :
2.1: Become a lifelong learner
2.2: Re-skilling
2.3: Financial arrangements for the transition
2.4: Emotional and relationships issues
2.5: Wrapping Up: Developing an action plan

LW5 : The rich Indian learning heritage

Day 1: The Diamonds in our heritage
1.1: A survey of our knowledge management practices
1.2: Natya Shastra ( nava rasa) & Sangeet
1.3: Shilp Shastra ( with vaastu)
1.4: Ayurveda ( including Paak Shastra)
1.5: Nyaya Shastra

Day 2: Ahead of the rest of the world
2.1: Mathematics
2.2: Science
2.3: Medicine ( Shalya Chikitsa)
2.4: Jyotish ( astronomy)
2.5: Discourse ( the argumentative Indian)

 

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Learning weekend 2017:

The Lifelong Learning Weekend WhatsApp courses  which are scheduled for November and  December 2017 are listed below:

The Sunday in person meetings for both these will  be held at the same place, the WOODs, Greenwood City, Sector 46 Gurgaon. The WOODs is located opposite Unitech Cyber Park, between Vista Villas and Residenct Greens.

Participation happens with prior registration by sending a WhatsApp message to +919810073724 and sending RSVP for the specific W4LL event at Meetup.com

Time Schedule:
Rolling in and Networking : 9:45 to 10:00 am
Session 1: 10:00 am to 11:15 am
Tea and Selfie Break : 11:15 am to 11:45 am
Session 2: 11:45 am to 1:00 pm

On the Saturday preceding the scheduled Sunday in person event, a two day WhatsApp course is planned to be run on the same topic. The schedule for these WhatsApp based courses is also listed below:

Saturday November 11th Sunday November 12th   : Learning  Weekend: WhatsApp course on ‘What is worth Learning?’

Sunday November 12th  : In person meet on ‘ What is worth Learning? ’ from 10am to 1pm.

Saturday December 9th and Sunday December 10th : Learning Weekend : WhatsApp course on ‘ The Rich Indian learning heritage’

Sunday December 10th  : In person meet on ‘The Rich Indian learning heritage’ from 10am to 1pm.

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Coming of Age in the 4th Industrial Age:

Coming of Age in the 4th Industrial Age:

The video of my TEDx talk gives a very brief outline of concerns related to the 4th Ibdustrial Age: My TEDx talk on Education in the 4th Industrial Age

This program ‘ Coming of Age in the 4th Industrial Age’ is directed at the young ( both boys and girls) who are coming of age (turning 18) in the years to come. We are aiming at the age group of 18+-2, that is from 16 years to 20 years.
This is about the same age group that pursues the International Baccalaureate Diploma Program, The A levels and the Senior Secondary stage of the CBSE and other State Boards. Younger persons may not be able to benefit from the program, although students in post secondary courses ( general BA, BSc, BCom or Professional courses such as Engineering, Medicine or Law) would find this program helpful in preparing them for their future.

There is really no upper age limit for an enquiringly mind with the disposition of a life-long learner.

About the 4th Industrial Age:
It was at the World Economic Forum 2016 at Davos, that the phrase 4th Industrial Revolution was proposed by Klaus Schwab, Founder and Executive Chairman, World Economic Forum in his book ‘ The fourth Industrial Revolution’ launched at the Davos 2016 drew attention to the possibility that we have just transcended the 3rd Industrial Revolution into the beginnings of the fourth Industrial Revolution.

The program : Coming of Age in the 4th Industrial Age:

If this program is pursued sequentially, and without a break, the program can be completed in 4 months. With some slack, it can be done in 6 months.
Cluster 1: Learning is earning
1.1: Time Management
1.2: Learning how to learn ?
1.3: Learning from Mobile Apps and MOOCs
1.4: Financial Acumen

Cluster 2: Emerging Technologies
2.1: Big Data : the Big picture
2.2: Blockchain : Demystified
2.3: Machine Intelligence : what is it and why it matters?
2.4: Quantum Computing ( a Primer)

Cluster 3: Complex Problem Solving

3.1: Creative Intelligence
3.2: Critical Reasoning
3.3: Mathematical Modelling
3.4: Computational Thinking

Cluster 4: Being human ?
4.1: Homo Sapiens : a primer on human evolution
4.2: Ethics and Values
4.3: Emotional Intelligence
4.4: The future of work

To enrol in this unique and timely program, please send a mail to mmpant@gmail.com

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An investment in Education is the best Option

An investment in education is the best option:

I had written an essay with the above title in 2007 and 10 years later it seems to have become even more true now, at the edge of the 4th Industrial Age. That set of essays is now available here:

an-investment-in-education-is-the-best-options-newer-version

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