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Aakash Gupta Profile picture
@aakashg0
Apr 22, 2023 • 13 tweets • 6 min read • Read on X
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If you aren't learning AI, you're falling behind.

Luckily, Harvard (4.5% acceptance rate) & Stanford ($78,898 yearly tuition) offer free courses.

No application or fee required.

Here are 10 FREE courses you don't want to miss:
1. Andrew Ng (of Stanford)'s AI for Everyone

The godfather of AI & CS education, Andrew Ng, is doing a live course on Coursera. It's the ultimate introduction.

And it starts TODAY 👇

coursera.org/learn/ai-for-e…
2. Harvard's CS50

Go from concepts to coding with Python, the lingua franca of AI.

It also starts today 👇

edx.org/course/cs50s-i…
3. Stanford's CS224N

Drive forward your understanding of Natural Language Processing (NLP), the basis of how large language models (LLMs) like GPT-4 work.

Get learning👇

4. Harvard's Data Science: Machine Learning

Apply your skills by getting instructions to build an applied movie recommendation system.

Start building 👇

edx.org/course/data-sc…
5. Stanford's CS230

Return back to hardcore engineering by now learning about deep learning, once again from the esteemed Andrew Ng.

You're ready 👇

6. Harvard's Fundamentals of TinyML

Begin to learn about how to drive deep learning all to the edge of networks with embedded machine learning.

Jump in 👇

pll.harvard.edu/course/fundame…
7. Harvard's Applications of TinyML

See TinyML in practice by building Google Assistant on your phone.

Check here 👇

pll.harvard.edu/course/applica…
8. Harvard's Deploying TinyML

Take your TinyML application to a real-life situation with TensorFlow Lite.

Deploy now 👇

pll.harvard.edu/course/deployi…
9. Stanford's CS234

Learn how to build unsupervised AI with reinforcement learning.

Go deep 👇

10. Stanford's CS330

Conquer the final boss: multi-task and & meta-learning AI.

You got this 👇

Bonus: Google ML Certification

Now that you've learned from the best schools in the world, cap it all off with Google's free 15-hour certification.

Get certified 👇

developers.google.com/machine-learni…
BONUS: Product Growth Newsletter

Stay up to date on all the trends in AI that matter.

Subscribe now👇

aakashg.com/subscribe-emai…

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More from @aakashg0

Aakash Gupta Profile picture
Apr 18
2 rules govern how much you can make:

Stage and success of company

Let me explain 🧵 Image
Factor 1 - Where You Work

At bigger companies, the same title earns a lot more. Take VPs:

• $10M rev/ Series A: TC $675K
• $100M rev/ Series E: TC: $750K
• $500M rev/ Series E: TC $750K
• $1B rev/ Small-Mid Cap: TC $950K
• $100B rev/ FAANG-like: TC > $2.15M
And there's a huge difference in how liquid the earnings are at these companies.

For most private companies, liquidity events are rare and capped.

Moreover, the outcomes are highly bi-modal: the equity could go to 1, or could be a multiple. It's hardly a certain thing.
Read 9 tweets
Aakash Gupta Profile picture
Mar 29
Remember the days of unlimited music skips on Spotify's free tier?

I bet you didn't know removing it increased paid subscribers 25%.

Here's the story: Image
Unlimited skips on the free plan was a golden age for music lovers.

But, for Spotify, they were losing money on each of those customers.

They needed them to upgrade.
So in 2014, Spotify limited skips on the free tier to six per hour.

The headlines were

• "Spotify’s free tier just got worse"
• "I’m quitting Spotify"
Read 6 tweets
Aakash Gupta Profile picture
Mar 27
I researched the pricing models of 50 leading consumer software companies.

These are my top 4 takeaways: Image
1 — Subscriptions have come to every industry

In every industry, it's worth considering if a subscription makes sense for you.

Recurring revenue, stable cash flow, and higher LTV are all potential prizes.

But, consumers might be annoyed.
2 — Subscriptions aren't the only game in town

Yes, subscription or “subscription-like” pricing is 56% of this list.

But options like one-time fee, ad-supported, and transaction-based also appear.

And consumers often prefer them.
Read 6 tweets
Aakash Gupta Profile picture
Mar 25
Companies kill their own messaging over time.

4 bad habits seep in as they grow.

Here's the breakdown: Image
@apierriPMM Bad Habit 1 - Speaking to multiple audiences at once

In the world of growth-focused companies, prioritization can be seen as weak.

But instead of effectively speaking to multiple audiences at once, you end up speaking to none.

In messaging, you must prioritize.
Bad Habit 2 — Choosing the Wrong Champion

Most commonly, people aim too senior. This has 2 problems:

1. There are exponentially fewer CEOs than VPs, directors, & managers
2. CEOs aren’t buying software

(There is one exception: if you’re targeting a small business.)
Read 7 tweets
Aakash Gupta Profile picture
Mar 9
You know ChatGPT. But you don't know the history of AI.

Here's the key events you need to know: Image
1956 -- Dartmouth Conference:

• Academics gathered at Dartmouth. They used the term AI for the first time
• The idea was to build a machine that mimicked human reasoning
• The first model was created
1958 -- Perceptron:

• Frank Rosenblatt's released the very first neural network, called Perceptron
• It was a single layer, but laid the foundation for architectures to come
• It was an early model of supervised learning
Read 15 tweets
Aakash Gupta Profile picture
Jan 18
Notion's $10B valuation isn't magic. It's a masterclass in PLG.

There's 7 key elements to this motion.

Here's a quick rundown of each ↓ Image
1. Core problem communication

Clear & cute messaging:

↳ Notion has its trademark cartoon style
↳ And it always pays close attention to the details of design

Community to get the word out:
↳ Notion's creators and users spread the word
↳ It adds fuel to the fire
2. Information for decision

Plans for all:

↳ Its freemium forever plan attracts the price sensitive
↳ But it has all the functionality a big enterprise would need

Differentiation:

↳ Notion has great templates
↳ Notion is structure free, so it can be anything
Read 9 tweets

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