Google Brain founder, Andrew Ng:
"Prompting will be dead in 6 months. Loops and graphs are replacing it."
in 100 minutes at Stanford he shows how to build agents that finish the work and sharpen themselves
LLMs → Agents → Loops → Graphs
the first 15 minutes go past where most $500 AI courses stop
most people are still learning prompts while the leverage moved two layers up
same model, same tokens, and the only thing that changes is the shape you run it in
watch the lecture today, then save the full graph engineering guide below
My friend applied to 250 tech jobs in two years. No MIT. No Stanford.
Last month Anthropic offered him $750,000.
I asked him how he broke in from zero.
He sent me the exact video that got him in. Anthropic's 2-hour course on how to become an AI engineer in 2026.
Thariq Shihipar shows you exactly how to build AI agents from scratch.
I watched it last night.
Halfway through, I realized I could break into an AI lab in months, not years.
Bookmark this and read the article below.
• 00:00 - AI agent harness
• 23:44 - building AI agent loops
• 56:39 - AI agent context engineering
• 1:33:34 - AI agent deterministic hooks
• 1:50:31 - Anthropic SWE interview process
SQL or NoSQL? 🤔
SQL excels at structured data and complex transactions.
NoSQL shines with flexible schemas and horizontal scaling.
Which one do you use the most?
COVID taught me a lot. It brought a fresh wave in my life.
- Learn Python
- Revise Mathematics (Linear Algebra, Calculus)
- Don't ignore Probability & Statistics
- Learn AI & ML
- Build sufficient projects
I didn't pay a SINGLE PENNY to learn all these. Here's how:
The 2nd edition of Designing Data-Intensive Applications, by @martinkl and me, is finished and sent to the printers! Ebooks available next week, and print books in 3–4 weeks. Sigh of relief. 😅
(BTW, this is a good opportunity to support your favourite local bookshop!)
I spent 6 months (learning) AI.
This one Github repo could've saved me 5.
Here's what's inside:
Foundation → Advanced
→ Language model basics
→ Tokens and embeddings
→ Transformer architecture explained
→ Text classification techniques
Real-World Applications
→ Semantic search systems
→ RAG implementation guide
→ Prompt engineering mastery
→ Multimodal LLM usage
Build Your Own
→ Create embedding models
→ Fine-tune BERT yourself
→ Train generation models
→ Deploy production systems
Written by Jay Alammar.
Endorsed by Andrew Ng.
No theory overload.
Just practical building.
Repo: https://t.co/PIDKxRZBug
Save for later.
Repost for AI builders.
Check my profile for more resources on AI
This is the exact Monte Carlo Methodology cheat sheet that Hedge Funds use to extract edge on Prediction Markets like Polymarket
Full breakdown in the article below.
Hi All :)
Microsoft is currently offering 100% free exam vouchers for the DP-600 (Analytics Engineer) and DP-700 (Data Engineer) certifications.
If you are working with Data, SQL, or Power BI, this is a great opportunity to get certified for free (and save ~R3,000!).
How to get it:
- Join the Microsoft Fabric Community.
- Complete 3 Cloud Skills modules.
- Register for a Live Session.
- Submit the form before Feb 28, 2026.
It is limited to the first 10,000 applicants, so act fast!
Link to apply: https://t.co/GU9k5hG6N6
#MicrosoftFabric #DataEngineering #PowerBI #Upskilling #SouthAfrica #WomenInTech