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.
Requirements
The only requirement for this course is an open mind and a willingness to learn.
Description
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.
Overview
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 Yellow.ai 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, Boast.ai
Lecture 16 How to Cold-Start an AI Company with Oleg Rogynskyy, People.ai
Lecture 17 Building AI Models with Sivakumar Lakshmanan, Co-CEO of Antuit.ai
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 Pumas.ai 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, Kore.ai
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 Blackbird.ai CEO Wasim Khaled
Lecture 41 Thought Leader in AI: Zohar Bronfman, CEO of Pecan.ai
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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