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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.

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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.

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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.

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7. Harvard's Applications of TinyML

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

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8. Harvard's Deploying TinyML

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

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9. Stanford's CS234

Learn how to build unsupervised AI with reinforcement learning.

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10. Stanford's CS330

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

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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.

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BONUS: Product Growth Newsletter

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

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aakashg.com/subscribe-emai…

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More from @aakashg0

Aakash Gupta Profile picture
Feb 14
Most people are still prompting wrong.

I've found this framework, which was even shared by OpenAI President Greg Brockman.

Here’s how it works: Image
𝗧𝗵𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴

4 words in lowercase doesn’t work.

If you want to write a PRD, or a product strategy, or something for work, you have to help the LLM get your context.

This is done in 4 parts.
𝗢𝗻𝗲 - 𝗚𝗼𝗮𝗹

LLMs know millions of ways to complete a task.

Clear goal language helps them narrow in on the way you want them to.

EG: “I want to create a Google-level Product Requirements Document for: <Feature>”
Read 9 tweets
Aakash Gupta Profile picture
Jan 26
We’ve been sold a million use cases for PMs to use AI.

For my money, here are the top 5: Image
AI won’t replace PMs.

But PMs who use AI will replace PMs who don’t.

You don’t even need to learn coding to join the AI revolution.

There’s one archetype taking over in organizations right now: the AI-powered PM.

Here are the top 5 ways AI-powered PMs are changing the game: Image
USE CASE ONE - PRDs

Last month, I shadowed a PM at a FAANG company.

Their first AI prompt? Beautiful but completely wrong.

So how you use it matter more than just using it to write PRDs.

Here’s the game-changing mega-prompt that fixed it:
Read 13 tweets
Aakash Gupta Profile picture
Dec 31, 2024
Used right, OKRs can be the most powerful product process.

But most orgs completely mess them up.

From driving empowerment to becoming tools for control…

Here’s what you need to know about when to add or remove OKRs: Image
𝗧𝗵𝗲 𝗗𝗲𝗯𝗮𝘁𝗲 𝗔𝗿𝗼𝘂𝗻𝗱 𝗢𝗞𝗥𝘀: 𝗔 𝗗𝗲𝗲𝗽𝗲𝗿 𝗧𝗿𝘂𝘁𝗵 𝗔𝗯𝗼𝘂𝘁 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁

The conversation around OKRs reveals a fundamental truth:

Alignment mechanisms aren’t one-size-fits-all.

Take Ramp, for example.

They built a $10B company without OKRs.
Their secret?

→ Exceptional product sense.

→ Metrics so clear that every team understood what success looked like without needing a formal framework.

Now look at Google.
Read 14 tweets
Aakash Gupta Profile picture
Dec 29, 2024
If you want to move from a PM to a product leader, there’s one skill you absolutely need to master:

Product processes.

Here are the 12 most essential ones to drive impact, speed, and quality: Image
𝗢𝗡𝗘 - 𝗢𝗞𝗥𝘀

→ When to Add: When your team is growing fast, shifting priorities, or you need a system to track progress across teams.

→ When to Drop: If OKRs become a never-ending admin task and feel disconnected from day-to-day work, it’s time to simplify.
𝗧𝗪𝗢 - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗥𝗲𝘃𝗶𝗲𝘄𝘀

→ When to Introduce: Use them to coach junior PMs or align teams during fast-paced iterations.

→ When to Cut Back: If Product Reviews start stifling creativity or become a micromanagement, it’s time to rethink.
Read 14 tweets
Aakash Gupta Profile picture
Dec 20, 2024
One thing that will remain the same in the 2025 job landscape:

Hiring managers will still ask, "Why this company?"

Nail it, and you’re halfway to landing your dream role.

Here’s how to master this: Image
Over the years, I’ve worked with countless aspiring and senior PMs.

99% of them give a 4/10 answer.

Here’s where they go wrong:

1. Generic fluff → They rattle off buzzwords like “innovative culture” or “market leader.” It’s uninspired.
2. No connection → They talk about the company, but not how they fit into the picture.

3. Vague details → It’s clear they didn’t research. No examples, no depth. Just surface-level compliments.

4. Lack of energy → The delivery feels more like a verbal LinkedIn endorsement.
Read 14 tweets
Aakash Gupta Profile picture
Dec 15, 2024
How do the best product teams ship better and faster without things breaking?

They embed quality into every step of the development process.

Here’s how you can do the same: Image
𝗙𝗶𝘃𝗲 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝗵𝗲𝗰𝗸𝗽𝗼𝗶𝗻𝘁𝘀

𝗢𝗡𝗘 - 𝗕𝗲𝗳𝗼𝗿𝗲 𝗙𝗶𝗻𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀

→ When: Right after you’ve done your research and before locking down specs.
→ Why it matters: This is your chance to clarify any confusion, resolve technical risks, and ensure alignment before things snowball.

→ Win: Fewer mid-sprint surprises and last-minute changes.
Read 14 tweets

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