How Vc Investors Think About Ai Startups With Sramana Mitra





Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.72 GB | Duration: 6h 23m

Learn Investor Perspectives and Decision Making Processes Around Investing in Artificial Intelligence Startups


What you'll learn
Through interviews with real-world AI startup investors you will come to understand investor-entrepreneur fit.
How you can think from an investor's point of view when pitching your artificial intelligence startup.
What you can do to increase your chances of getting an AI startup funded.
Where you can seek further mentorship regarding AI startup funding.
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 startup investors by giving students the rare seat at the table with investors 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.There's a lot of confusion around AI right now. The hype is astronomical. Amidst this noisy environment, we're trying to bring you some signal, some wisdom. To that end, we've been speaking with many VC investors to gain their perspectives and share these conversations in this course to help guide entrepreneurs who are building or interested in artificial intelligence startups that may need funding.This course is an exploration of AI investment strategies in the current tech landscape, highlighting investor perspectives in the Age of AI. You'll learn how machine learning is shaping VC decision-making and hear about specific examples of AI companies they invested in and the rationale behind these choices.Many conversations cover enterprise AI adoption, focusing on what investor portfolios reveal about the behavior of ML buyers in enterprises. Investors share views on the potential of general artificial intelligence versus specialized vertical applications, particularly in sectors they find promising.Other key themes we explore include the challenge of AI hallucination, where generative AI produces inaccurate information, and its impact on the industry. There's also a focus on whether the investor is backing AI platforms and applications built on third-party platforms or PaaS, exploring the infrastructure required to scale AI. We talk about superintelligence potentially rendering vertical AI obsolete and what future investments might look like in five years.Altogether, this course reveals the strategic approach of investors to AI startups, shares current learnings from their portfolios, and their projections for the future of AI technology and its broader implications. Let's get started!
Overview
Section 1: How Investors Think About AI Startups
Lecture 1 Introduction
Lecture 2 How Investors Think About Artificial Intelligence Startups
Lecture 3 AI Picks & Shovels
Lecture 4 AI Investment Thesis Discussion with Ashmeet Sidana, Engineering Capital
Lecture 5 AI Investment Thesis Discussion with Naganand Doraswamy, Ideaspring Capital
Lecture 6 LLM vs. SLM AI
Lecture 7 AI Investment Thesis Discussion with Rajeev Madhavan, Clear Ventures
Lecture 8 AI Investment Thesis Discussion with Jukka Alanen, Rebellion Ventures
Lecture 9 AI Investment Thesis Discussion with Sailesh Ramakrishnan, Rocketship.vc
Lecture 10 AI Investment Thesis Discussion with Jishnu Bhattacharjee, Nexus Venture Partner
Lecture 11 Vertical AI
Lecture 12 AI Investment Thesis with Yash Hemaraj, General Partner at BGV
Lecture 13 Incumbents vs. New AI
Lecture 14 AI Investment Thesis with Ashish Gupta, Clearvision Ventures
Section 2: Additional Content
Lecture 15 Practice Exercise
Lecture 16 Extra
AI entrepreneurs who want to think like investors and increase their chances of getting funded.,Aspiring AI founders who want to increase their chances of getting accepted into a top startup accelerator such as Y Combinator, Techstars, or 500 Startups.,Developing world entrepreneurs who want to increase their chances of getting investment for their AI startup..,Professors worldwide teaching AI entrepreneurship courses.

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