How To Build AI Machine Learning Startups Sramana Mitra

Case Studies, Innovations and Lessons from the Trenches of Artificial Intelligence (AI) & Machine Learning (ML) Startups
How To Build AI Machine Learning Startups Sramana Mitra
File Size :
21.49 GB
Total length :
24h 0m



Sramana Mitra


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How To Build AI Machine Learning Startups Sramana Mitra

What you’ll learn

How to identify AI startup opportunities through in-depth interviews with successful founders in the AI / Machine Learning space.
What the trends, new innovations and best business models are for ArtificiaI Intelligence / Machine Learning startups.
When to bring on a team while building an AI startup.
When to start raising funds for a Machine Learning startup.
How to scale a Machine Learning / AI startup.
What the exit options are for an Artificial Intelligence / Machine Learning startup.

How To Build AI Machine Learning Startups Sramana Mitra


The only requirement for this course is an open mind and a willingness to learn.


The 1Mby1M Methodology is based on case studies. In this course, Sramana Mitra shares the tribal knowledge of tech entrepreneurs by giving students the rare seat at the table with the entrepreneurs, investors and thought leaders who provide the most instructive perspectives on how to build a thriving business. Through these conversations, students gain access to case studies exploring the alleys of entrepreneurship. Sramana’s synthesis of key learnings and incisive analysis add great depth to each discussion.One of the single hottest trends in technology startups is Artificial Intelligence (AI). Machine Learning, Natural Language Processing, and various other nuances are being constantly applied to problems up and down the alleyways of all industries from Manufacturing, to Retail, to Education, to Drug Discovery.All the methodology building blocks you have been learning through Sramana’s entrepreneurship fundamentals courses apply. You can, for instance, bootstrap an AI startup with Services, then raise money (or not). You can build a Unicorn (or not).In addition, you will learn domain specific lessons from entrepreneur case studies and thought leader interviews. You will also listen to investor perspectives on AI ventures and new trends they (and Sramana) have identified.Artificial Intelligence still has a lot of white space. Therefore, entrepreneurs looking for ideas to develop as new startups would do well to study the trend and the opportunities thereof. In the interviews, Sramana always spends time with practicing entrepreneurs exploring what open problems they see in their domains, from their respective vantage points. These serve as excellent pointers for entrepreneurs to go dig in fertile soil in search of pain points around which to build new startups.Artificial Intelligence and Machine Learning will be changing the world without question. Entrepreneurs with interest and expertise in this field are in high demand.This course should help you streamline your thinking and zero in on a concrete game plan of where to focus and how.The 1Mby1M courses are all heavily based on interview-based case studies on Innovation, Business Models, Go To Market Strategies, Validation Principles, and various other nuances of an entrepreneur’s journey. We offer extensive opportunities for entrepreneurs to learn the lessons from the trenches from successful entrepreneurs who have done it before and Investors who support their ambition.


Section 1: How to Build Artificial Intelligence / AI Startups

Lecture 1 Introduction

Lecture 2 How to Build AI Startups

Lecture 3 Building a Global HR Tech Business from India with Leena AI CEO Adit Jain

Lecture 4 Bootstrapping an AI Startup with Services with Aunalytics Founder Nitesh Chawla

Lecture 5 From Developer to 2-Time Successful AI Entrepreneur with Exits

Lecture 6 Building a Machine Learning Venture with Arize Co-founder Aparna Dhinakaran

Lecture 7 Thought Leader in AI: Comet ML CEO Gideon Mendels

Lecture 8 From Solo Techie Entrepreneur to High Growth Enterprise AI Success Story

Lecture 9 Bootstrap First to Build an AI Startup with CEO Raghu Ravin

Lecture 10 Building a Healthcare AI Venture to $20M: Deepak Gaddipati Founder of VirtuSense

Lecture 11 Building a Robotics Company from India: Ritukar Vijay, CEO of Ottonomy

Lecture 12 Thought Leader in FinTech: Infima Founder and Chief Scientist Kay Giescke

Lecture 13 Building Capital-Efficient AI Companies with Arijit Sengupta, Founder of Aible

Lecture 14 Pushing the Artificial Intelligence Envelope with Jana Eggers, Nara Logics

Lecture 15 What Works and What Doesn’t in AI Startups with Lloyed Lobo,

Lecture 16 How to Cold-Start an AI Company with Oleg Rogynskyy,

Lecture 17 Building AI Models with Sivakumar Lakshmanan, Co-CEO of

Lecture 18 Exploring Vision Sensors within AI with Jeff Feng, CEO of CloudPick

Lecture 19 Bootstrapping to $10M+ from North Carolina: Carl Ryden, PrecisionLender

Lecture 20 More AI Startup Case Studies

Section 2: Investor Perspectives on Artificial Intelligence

Lecture 21 AI, PaaS and Deeptech Investments with Daniel Cohen, Viola Ventures

Lecture 22 Discussing Explainable AI with Alok Nandan, First Rays Venture Partners

Lecture 23 Deep Dive into Artificial Intelligence Investing with Evangelos Simoudis, Synaps

Lecture 24 Early Stage Startups are NOT About Keeping All Options Open with Eric Benhamou

Section 3: Thought Leaders in Artificial Intelligence

Lecture 25 Thought Leader in AI: Aisera CEO Muddu Sudhakar

Lecture 26 Thought Leader in AI: Sonny Tai, CEO of Actuate AI

Lecture 27 Thought Leader in AI: DARVIS CEO Jan-Philipp Mohr

Lecture 28 Thought Leader in AI: Yamin Durrani, CEO of Kami Vision

Lecture 29 Thought Leader in AI: EdgeVerve CEO Sateesh Seetharamiah

Lecture 30 Thought Leader in AI: Squirro CEO Dorian Selz

Lecture 31 Thought Leader in AI: Workiz CEO Didi Azaria

Lecture 32 Thought Leader in Big Data: SupportLogic CEO Krishna Raj Raja

Lecture 33 Thought Leader CEO Joga Gobburu

Lecture 34 Thought Leader in AI: Iterate CTO Brian Sathianathan

Lecture 35 Thought Leader in Artificial Intelligence: Blueshift Co-founder Manyam Mallela

Lecture 36 Thought Leader in AI: QuillBot CEO Rohan Gupta

Lecture 37 Building a Conversational AI Platform with Raj Koneru,

Lecture 38 Thought Leader in Artificial Intelligence: David Talby, CTO of John Snow Labs

Lecture 39 Thought Leader in Artificial Intelligence: Vasco Pedro, CEO of Unbabel

Lecture 40 Fake News and AI with CEO Wasim Khaled

Lecture 41 Thought Leader in AI: Zohar Bronfman, CEO of

Lecture 42 Thought Leader in Artificial Intelligence: Martin Neale, CEO of ICS

Lecture 43 Thought Leaders in AI: Pandio Founders Gideon Rubin, CEO and Josh Odmark, CTO

Lecture 44 More Conversations with Thought Leaders in Artificial Intelligence

Section 4: Frequently Asked Questions / FAQs

Lecture 45 How Do You Start an AI Company?

Lecture 46 How Do You Bootstrap an AI Startup?

Lecture 47 Which New AI Technologies Hold Great Promise for New, Innovative Businesses?

Section 5: Additional Content

Lecture 48 Practice Exercise 1

Lecture 49 Practice Exercise 2

Lecture 50 Bonus Lecture

Ambitious entrepreneurs who want to pursue innovation by building their own startup.,Engineers who want to turn their AI knowledge into multi-million dollar revenue businesses by becoming startup founders rather than remaining employees.,Aspiring founders who want to increase their chances of getting accepted into a top startup accelerator such as Y Combinator, Techstars, or 500 Startups.,Any entrepreneur who wants to learn from successful entrepreneurs who have done it before, and from the investors who have supported them.,Professors teaching technology entrepreneurship courses anywhere in the world.

Course Information:

Udemy | English | 24h 0m | 21.49 GB
Created by: Sramana Mitra

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