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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 👇

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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.

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
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
Aakash Gupta Profile picture
Nov 7, 2024
PMs, you can add at least $50k to your salary by becoming an AI PM.

However, many people miss the mark, making the same mistakes over and over again.

Here are the 7 mistakes to avoid if you want to secure your dream AI role: Image
𝗠𝗶𝘀𝘁𝗮𝗸𝗲 #𝟭: 𝗧𝗵𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗼𝗿’𝘀 𝗖𝘂𝗿𝘀𝗲

→ Collecting certificates may feel productive, but it’s often just an illusion of progress.

→ Instead of paper chasing, identify a problem, build a prototype, and document your process.
𝗠𝗶𝘀𝘁𝗮𝗸𝗲 #𝟮: 𝗧𝗵𝗲 𝗖𝗼𝗱𝗲-𝗣𝗵𝗼𝗯𝗶𝗰 𝗣𝗮𝗿𝗮𝗹𝘆𝘀𝗶𝘀

→ Coding helps you to connect with your dev team and independently prototype ideas.

→ Start with Python, build simple models, and soon enough, coding will become your new best friend.
Read 10 tweets
Aakash Gupta Profile picture
Nov 5, 2024
Looking to land a PM role at Google, Amazon, or Meta?

Here’s the truth: It’s not enough to just secure the offer.

You need to nail the team matching process.

Here’s how to land the team (and role) you want: Image
𝗪𝗛𝗔𝗧 𝗜𝗦 𝗧𝗘𝗔𝗠 𝗠𝗔𝗧𝗖𝗛𝗜𝗡𝗚 𝗣𝗥𝗢𝗖𝗘𝗦𝗦?

At top tech companies, landing an offer is only the beginning.

After that, it’s time for team matching: the stage where PMs find their “home base” within the company.

Why this process is crucial for both parties?
Because it ensures that PMs are placed where their skills and expertise can be best leveraged to drive maximum impact and results for the team and the organisation as a whole.

There are two paths here:

→ Sometimes you’re hired for a specific team, like “PM, Instagram Growth.”
Read 13 tweets

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