Plaksha TLP Program Structure ;

TLP Program

TLP Program Experience

Spread over eight terms, each averaging six weeks, the program has four intertwined threads:

Data-X Coursework

Series of courses in Artificial Intelligence and Machine Learning, Design and Systems thinking to learn to apply technology to build holistic solutions.

Real-world Projects

12 week Challenge Lab to identify a need, market test, build a prototype, pitch to investors. 12 week Industry/ Research Capstone project, AI/ML centric (includes 8 weeks onsite).

Guest Sessions

Grand Challenge Lecture Series by domain experts on real-world AI/ML applications. Radical thinkers and global leaders share their ideas and walk you through their journey.

Leadership and mentoring

Intense curriculum involving goal setting, self reflection, group dynamics and leadership. Each Fellow is also assigned a distinguished mentor who is an eminent business leader or entrepreneur.

TLP ACADEMIC CALENDAR: 2021-22

TERM 1: 31 Aug - 9 Oct

Course to help develop the capacity to design and redesign the most important project to date: Our Life. This course teaches you to apply design and systems thinking to observe and notice the world around you and your place in it; Frame and reframe challenges and possibilities for yourself; Imagine and design concepts or solutions to create change; make and experiment with your ideas to learn what works and how you make progress.

Dr. Rachel Dzombak

Digital Transformation Lead, Emerging Technology Center, Software Engineering Institute, Carnegie Mellon University

This introductory course covers foundational concepts and also build understanding of data structure and algorithms in Python. This also enables you to develop an overall understanding of which fundamental data structure or algorithm to use when. Additionally, you will become comfortable with space and time complexity to optimise code for efficiency of produced code.

Dr. Sudarshan Iyengar

Faculty at CSE - IIT Ropar

This course aims to reinforce mathematical concepts that are necessary to develop a firm understanding of AI. It is a foundational course that will allow fellows to get up to speed with the required concepts in probability, linear algebra and calculus.

Dr. Dhiraj Sinha

Faculty at Plaksha Univ.

This course explains how modern computer systems work. Spanning introductory topics in computer architecture, assembly language, and operating systems, it shows how these building blocks at different levels synergistically work together to produce a complete computing system. It discusses how the design decisions at different levels are made to satisfy the requirements of speed, concurrency, hardware efficiency, and programmability.

Dr. Rajeev Barua

Univ of MD, College Park

TERM 2: 11 Oct - 26 Nov

This course is intended to lay the foundations for a principled understanding of machine learning. It is intended to be taken along with its associated lab which focuses on the applied aspects of Machine Learning.

Dr. Ravi Kothari

Former Chief Scientist,
IBM Research India

This course is intended to teach the fellows the implementation and application of popular machine learning algorithms (prior to deep learning). Along with Machine Learning it provides a comprehensive theoretical and applied understanding of Machine Learning (prior to deep learning).

Dr. Ravi Kothari

Former Chief Scientist,
IBM Research India

In this course, students acquire critical communication competencies. Students will learn how to craft content, make a persuasive presentation, and engage and influence their audience.

Amit Kumar

Freelancer, Communications trainer, coach & consultant

This course continues with the concept of abstract data structures and concentrates on building programming tools known as container classes which can be used to store and manipulate data. Topics covered include address variables, linked lists, stacks, queues, recursion, analysis of algorithm efficiency, binary search trees, and hash tables.

Srinivasan Viswanathan

Founder and CTO, Datagres Technologies Inc.

This course deals with grand challenge-like problems of the 21st century through the lens of engineering and technology in the context of society. It will offer the opportunity for students to develop an interdisciplinary appreciation from a technical perspective as well as from a global and historical perspective.

Dr. BL Ramakrishna

Chief Academic Advisor, Plaksha University

TERM 3: 29 Nov - 5 Jan

This second course in a sequence of two courses is intended to extend the foundations built in Machine Learning I to Deep Learning and other more contemporary models. It is intended to be taken along with its associated lab which focuses on the applied aspects of Machine Learning.

Dr. Ravi Kothari

Former Chief Scientist,
IBM Research India

This course is intended to be taken along with Machine Learning II and is intended to teach the students the implementation and application of popular machine learning algorithms. Along with Machine Learning it provides a comprehensive theoretical and applied understanding of Machine Learning (prior to deep learning).

Dr. Ravi Kothari

Former Chief Scientist,
IBM Research India

This course gives a hands-on project-based learning experience on the design thinking methodology. The topics covered in the course include an introduction to design thinking, problem formulation, divergent and convergent thinking, idea generation, idea selection, prototyping, and testing. The course will provide a number of tools to support different aspects of design thinking.

Dr. Jitesh Panchal

Purdue University

A program designed for exploring what is really possible in achieving unprecedented business results. Grounded in the best-selling book, The Three Laws of Performance, the program is designed for attendees to apply this cutting-edge approach in their current work and life situations.

Balvinder Singh Sodhi, VANTO Group

Vanto Group

This course will give a hands on experience working on real world data problems and applications. It will look at solving data problems end to end together with showcasing powerful tools from the data science toolbox that is necessary to know in order to build and deploy models / systems end-to-end. This course will be focused on utilizing standard machine learning algorithms.

Alexander Ojala

UC Berkeley

TERM 4: 6 Jan - 18 Feb

Challenge Lab is an experiential-learning course in entrepreneurship. Multidisciplinary student teams will work together on real world deliverables. Over the course of the semester, students will be expected to form a team, validate their initial ideas with users, build and launch a working prototype, and develop and present a cogent business plan.

David Law, UC Berkeley

UC Berkeley

Alok Mittal

Co-Founder & CEO, Indifi Technologies Pvt Ltd

This Course is intended to be an application course in AI and Analytics techniques that will:
a) Introduce tools needed for complex problem solving at scale.
b) Enable the fellows to reframe a real-world problem and thereby utilize the appropriate set of tools and techniques to solve them.
c) Equip and motivate the fellows to build AI and Analytics systems to solve real world problems.
d) Provide fellows a chance to work on complex real-world problems solved by AI and Analytics Industry.

Srikanth Velamakanni,

Co-founder, Group Chief Executive & Vice-Chairman,
Fractal Analytics

This course is designed to introduce fellows to the area of product management for technology powered products. During the course, the framework of product management will be discussed along with product design and delivery techniques, followed by some practical exercises.

Ananda Sengupta

Managing Director, Telecom BU, Nagarro

This course will give you even deeper hands on experience working on real world data problems and applications. We’ll focus on deploying and monitoring deep learning models and the full data science pipeline.

Alexander Ojala

UC Berkeley

TERM 5: 21 Feb - 1 Apr

This is the second segment of the Challenge Lab. Student teams will continue to develop their startup idea which will include continued customer validation and solution iteration. This second segment of the course will focus on the following topics: customer acquisition process, finance (understanding key metrics), legal & intellectual property etc.

David Law

UC Berkeley

Alok Mittal, Co-Founder & CEO, Indifi Technologies Pvt Ltd

Co-Founder & CEO
Indifi Technologies
Founding Member
Indian Angel Network

This course is intended to familiarize fellows with the opportunities and challenges associated with innovations in health care. Particular emphasis will be placed on grand challenges related to public health. Fellows will learn to assess opportunities for impact and commercial success in the health sector and to assess the associated technical, societal, and commercial challenges.

This course is intended to familiarize fellows with the opportunities and challenges associated with innovations in sustainable use of energy. Fellows will learn to assess opportunities for impact and commercial success in the energy and to assess the associated technical, societal, and commercial challenges.

This course will give fellows an understanding of the fundamental concepts in distributed systems. Such systems are essential for various computing needs such as data analysis/machine learning, serving, e-commerce, cloud computing. It will discuss various mechanisms that help in designing robust and scalable distributed systems, e.g., RPCs, fault-tolerance techniques, distributed storage systems, transactions.

Dr. Atul Adya

Google

This is intended to be an introductory course in NLP that will introduce the basic concepts and building blocks of NLP, enable the fellows to categorize a given NLP problem into its right class and thereby utilize the appropriate set of tools and techniques to solve them, equip and motivate the fellows to build NLP systems to solve real world problems, demonstrate how to read, critique and implement state-of-the-art NLP research publications.

Dr. Monojit Choudhury.

Microsoft Research

This course addresses issues that are central to leadership: followership, wealth creation, wealth distribution, innovation, critical thinking, cross-sector collaboration, intra-group and inter-group dynamics, creating possibilities, organizational politics, shaping the future, abundance and scarcity. It builds on the thinking found in psychology, anthropology, sociology, management, politics, economics and philosophy.

Dr. Kenwyn Smith

University of Pennsylvania

TERM 6: 5 Apr - 5 Jun

In this term students work on a full-time project in collaboration with the industry, research organizations or on their own entrepreneurial venture. Fellows get selected as interns in corporates, visiting scholars or become entrepreneurs. The capstone project accounts for 6 course credits and is evaluated on the quality of work, the impact of their Capstone Project and the feedback from their mentor, guide or superior.

TERM 7: 7 June - 1 July

This is an introductory graduate-level module on human-computer interaction. The course introduces fellows to the field of HCI and gives them some experience in conducting experiments with human subjects. It introduces various techniques of user evaluation of user interfaces and provides some connections between Computer Science and other disciplines.

Dr. Sudheendra Hangal

CEO, Amuse Labs Ph.D Stanford University

This course is designed to accomplish and address the challenges withrecent technological innovations, including the entire ecosystem of a digital economy and digital payment system, teach the various technologies that are making it possible to attain the goal of transforming India through digital payments and digital currency, design an end-to-end system, and unlock the value of various business models so that these future systems are sustainable.

Dr. Sudhir Dixit

Chief Strategist and Investment Advisor, Trustyfi

This course will aim for fellows to understand the method behind bringing machine-learning from paper-defined business case into production and be able to develop a practical methodology for efficiently setting up product development cycles. In short applying the Agile & Lean methodology to Machine-Learning.

Dr. Sebastien Focaud, Chief Data Officer, HRS Group

Are you up for an interdisciplinary challenge? Do you see the multiplier effect arising out of integrating social, entrepreneurial and design skills while addressing an issue critical to society? Would you like to apply your academic knowledge to address real-life challenges ? Are you interested in looking at development and impact from a perspective which integrates entrepreneurial, technological and social approaches ? If you are answering these questions affirmatively, you would find new perspectives in this course.

Dr. Vijayraghavan Charair

IIT Delhi

This design course aims to fill the gap by teaching techniques for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science.

Venkatesh Rajamanickam, Industrial Design Centre, IIT Bombay

Professor
Industrial Design Centre
IIT Bombay

This course aims to develop critical reading, thinking, and writing skills that will help one engage with the world of ideas, and enable one to develop and communicate one's own ideas in a well-reasoned, lucid, and engaging manner.

Anunaya Rajhans

Ashoka University

This course is at the intersection of law, ethics and technology. It seeks to understand how disruptive technologies are challenging the definitions of fundamental legal concepts that have guided human interactions for the last several centuries.

Apurv Mishra

TERM 8: 5 July - 30 July

This course is designed for students to develop skill in the areas of building and using simple and useful models that can help facilitate Human Decision Making. This will be a mathematical and a programming oriented course that will require students to use Python to build real world models.

Anurag Sahay

VP - AI and Data Sciences, Nagarro

This course is built on the premise that we cannot ever imagine the full extent of our potential. Yet, leaders achieve heights that seem inconceivable and impossible. How do they craft their leadership journeys if they don’t know what is possible? In this course, the Professor shares his lifelong learnings about leadership, examining questions like who is a leader, how do you decide someone is a leader, and, most importantly, how do you think about your own leadership.

Dr. Pramath Raj Sinha

n this course, Fellows continue to acquire critical communication competencies. Fellows will learn how to craft content, make a persuasive presentation, and engage and influence their audience.

Amit Kumar

Freelancer, Communications trainer, coach & consultant

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