WLL05: Making Sense of Artificial Intelligence
We are now in the 4th Industrial Age and while Artificial Intelligence has been compared to being the new electricity, it’s availability through the cloud and mobile devices is much more universal.
Since AI helps automate tasks which were earlier done by humans, it’s potential to enhance almost all human activities is enormous, and that is why we have adopted an “AI for all” policy, rather than AI for a privileged few.
This is an introductory one month ( 4 weeks) course for anyone who is curious to know what are the various aspects of AI. That is why it has been given the title ” Making Sense of Artificial Intelligence”. Throughout the course, there will be links to and information about books, articles and videos to learn more.
This course is therefore a fascinating introduction for the curious, with substantial guidance on more for the serious.
This course in somewhat varying formats has been delivered to almost a thousand learners with diverse educational and professional profiles, including some School going students as well.
This course is an attempt to help form a realistic perspective, in this climate of the hype around the topic. The better we understand AI, the greater the sense of awe at the sheer complexity of the brain, and the amazing algorithms that nature has devised to solve one of the hardest problems known to man. What we see around us are examples of ‘ narrow AI’ or ‘weak AI’. But the quest for ‘strong AI’ is going to be a long journey…. but it’s perhaps the greatest scientific voyage that we can take now….
The flow of posts for this program is:
Monday Day 1: The origins and the present landscape of AI:
1.1: A brief history of evolution of AI
1.2: The Turing test
1.3: Simple automation, algorithmic automation and intelligent automation
1.4: AI and allied ( sometimes confused) terms
1.5: Narrow Intelligence, General Intelligence & Super Intelligence
Tuesday Day2: AI, Machine learning and Deep learning
2.1: The relationship between AI, ML and DL
2.2: Approaches to machine learning
2.3: The search for a master algorithm
2.4: Deep Learning and Artificial Neural Networks
2.5: The Mathematics underlying Machine Learning
Thursday Day 3: Generic AI tools:
3.1: Recommendation Engines
3.2: Predictive models
3.3: Speech Recognition
3.4: Natural Language Processing
3.5: Computer Vision
Wednesday Day 4: Application areas:
4.1: AI and Marketing
4.2: AI and Finance
4.3: AI and Healthcare
4.4: AI and Agriculture
4.5: AI and autonomous transportation
Friday Day 5: AI and Social Good
5.1: The future of work and human dignity
5.2: AI and SDGs ( Sustainable Development Goals)
5.3: World economic forum on ethical issues in AI
5.4: AI and bias
5.5: AI in the foreseeable future
These courses are offered through WhatsApp that can be easily accessed with a mobile hone on the scheduled week ( Monday to Friday ) of the month. Expression of interest in joining the course can be made on any day, and all requests received upto 12 noon on the Sunday before the schedule of the course will be placed in a cohort that would begin on the following Monday.
To register for this course:
First pay the fee of Rs 2500/- by PayTM to MM Pant ( mobile number : +919810073724).
Then send a Whatsapp message to MM Pant ( +919810073724) with the following information :
1: Your Name : First and Last
2: Mobile phone number linked to Whatsapp
3: Course Code and course name:
4: PayTM transaction number/ screenshot
5: Your brief profile ( optional). There will be an opportunity to briefly introduce yourself within the group also.
For those who would rather pay into a Bank account, the relevant information is :
Madan Mohan Pant
HDFC Bank, Unitech Cyber Park, Sector 39, Gurgaon
(The account number is 26451 followed by six zeroes followed by 301)
To seek any clarification or for further information, please send a Whatsapp message to Prof. MM Pant at +919810073724