Shruti Profile picture
Feb 3, 2024 7 tweets 3 min read Read on X
Harvard has published 5 courses on AI

No payment required.

Here are 5 FREE HARVARD courses to master AI within next 45 days: 👇 Image
1. Introduction to AI with Python from CS50

Discover the fundamentals of using Python for artificial intelligence in this introductory course.

What you will learn:

- Graph search algorithms
- Reinforcement learning
- Machine learning

Visit: pll.harvard.edu/course/cs50s-i…
Image
2. Machine Learning

Explore the world of data science and machine learning by building a recommendation system

Program:

- Gain a solid understanding of machine learning fundamentals
- Learn how to perform cross-validation to prevent overtraining

Visit: pll.harvard.edu/course/data-sc…
Image
3. TinyML Basics

Dedicated to the fundamentals of machine learning and embedded systems, specifically on smartphones.

- Machine Learning (ML) Fundamentals
- Deep Learning Fundamentals

And much more

Find out more about this course at: pll.harvard.edu/course/fundame…
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4. Master high-dimensional data analysis with these powerful techniques:

- Math distance
- Dimensional Reduction
- Singular value decomposition and P component analysis

Unlock the secrets of data analysis with this dynamic program:
pll.harvard.edu/course/data-an…
Image
5. Level up your data science skills with our Capstone program.

Prove your expertise by tackling real-world problems and working independently.

Enroll now: pll.harvard.edu/course/data-sc…
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More from @heyshrutimishra

Jun 20
I just created a full presentation from NVIDIA’s financial reports using AI.

No templates. No manual slides... just real data turned into structured, editable slides in minutes.

Here’s how I did it with Skywork 🧵👇
Step 1: Collecting the data: I downloaded NVIDIA’s latest quarterly reports, investor decks, and keynotes.

There was too much text and too many numbers, but all of it was valuable. I transformed them into a private knowledge base.
Step 2: Creating the knowledge base in Skywork

Skywork lets you upload reports, PDFs, articles.. anything.

It analyzes all of it, builds a structured understanding, and keeps sources traceable.

This becomes your personal knowledge foundation.
Read 6 tweets
Jun 14
This is wild… You can now build a full business solo with AI.

From idea → product → launch → marketing.... no team required.

Here’s your 2025 AI Stack to go solo like a pro 🧵👇 Image
1. Coding & Dev Tools

→ Cursor – AI-native code editor, built for vibe coding
→ CodeRabbit – Real-time code reviews & bug fixes
→ Warp – AI terminal that autocompletes & explains commands Image
2. Brainstorming & Research

→ Gemini, , ChatGPT – idea validation + planning
→ Perplexity – deep, fast market research Image
Read 8 tweets
Jun 12
🚨 BREAKING: NVIDIA just revealed its roadmap for physical AI, robotics and national-scale AI factories.

Most people don’t know it: In 2016, they built their first AI supercomputer with zero customers. OpenAI was the first to say yes.

Here’s a breakdown of the most important announcements from #GTCParis :🧵👇
1/ 🚨 130 TB/s bandwidth

The Grace Blackwell NVL72 (One Giant GPU) system connects 72 Blackwell GPUs, moving more data per second than the entire global internet.
2/ Digital twins

Everything physical will be built digitally first.” – That’s what Jensen said on stage at GTC Paris

From cars to factories... tested, optimized, perfected in simulation

AI + Digital Twins are becoming the new foundation of how we build
Read 9 tweets
May 30
Every coder should be using this stack:

→ Cursor
→ CodeRabbit
→ Warp

It’s fast, AI-native, and feels like magic when it all comes together.

Here’s why you’ll never code the same way again: 👇 Image
1. The CodeRabbit extension works with VSCode, Cursor, and WindSurf.

It reviews your code as you write, checks your code and identifies bugs

At any time, just ask it to "Review all changes."

2. Cursor Agent = your coding co-pilot

Ask it to build websites, APIs, Chrome extensions... anything.

It writes, explains, and debugs without switching tabs.
Read 6 tweets
May 23
I built an AI agent that analyzed 100 NASDAQ stocks and generated a full research report instantly

Still wrapping my head around this…NO analyst could work this fast.

Here’s exactly how I did it using Skywork (step-by-step guide) 👇
2/ Prompt I used: Image
3/ The real magic is Skywork’s Knowledge feature

You can bring your own data: reports, notes, spreadsheets and the AI will understand it, reason over it, and build structured content from it.
Read 5 tweets
May 22
🚨 BREAKING: Claude 4 just made every dev tool outdated.

If you’re building agents, coding copilots or AI workflows - pause everything and read this.

Anthropic dropped code-native super intelligence and it’s wild: 🧵👇 Image
2. The best coding model in the world.

Claude 4 model family now leads SWE-bench and even beats GPT-4.

Replit says “Claude made precise changes across a massive codebase.”
Cursor says “This is state-of-the-art for devs.” Image
Image
3. Claude’s MCP connector lets you plug into remote tools like Zapier or Asana

No client code needed. Just add a URL and go.
Read 13 tweets

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