Andrew Ng just released free 3-hour course
On becoming an AI engineer in 2026:
00:00 - Build agentic AI systems
04:25 - The future of AI engineering
23:38 - Full AI prompting course
2:52:17 - Build an app with AI in 30 minutes
This 3-hour watch is worth more than most AI engineering courses online
Bookmark and watch it today
Then read this article
Anthropic engineer:
"Don't just prompt Claude. Build a system that can prompt itself."
In this 45-minute session, she explains how Anthropic builds AI agents that can remember past work, learn from mistakes, and improve with every run.
It's one of the best free resources for learning how AI agents work.
Watch the session, then read 10 real world loop engineering example
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems
This 1-hour watch will replace 10 paid agentic courses on the internet.
Bookmark this. Watch this weekend.
Ex google engineer acaba de soltar un curso completo de 1 hora para construir agentes de IA que se mejoran solos, desde cero:
00:00 – Cómo nace un agente que se construye a sí mismo
03:01 – soul.md: el archivo que lo controla todo
30:16 – RAG inteligente: solo traes 20 mensajes relevantes, no los 2.000
31:48 – El loop que sabe cuándo parar solo
35:14 – Detectar el error y arreglar el prompt en el momento
50:22 – Cómo Claude comprime y optimiza tu memoria automáticamente
1 hora de contenido práctico que vale más que la mayoría de cursos de pago sobre agentes.
Míralo completo, guárdalo📚
Data Modeling with Microsoft Excel: https://t.co/3BHaaearWo
——
𝒦𝑒𝓎 𝐹𝑒𝒶𝓉𝓊𝓇𝑒𝓈:
🟠Acquire expertise in using Excel's Data Model and Power Pivot to connect and analyze multiple sources of data
🟣Create key performance indicators for decision making using DAX and Cube functions
🟠Apply your knowledge of Data Model to build an interactive dashboard that delivers key insights to your users
🟣Purchase of the print or Kindle book includes a free PDF eBook
Anthropic just dropped 5 workshops on building self-improving agentic systems from scratch:
00:00 - Ship your first Claude agent
36:44 - Build memory for Claude agents
1:05:06 - Make your agent autonomous
1:26:46 - Set up a proactive agent
2:03:35 - self-improving agents (tools,skills)
These 3-hours of free Claude workshops will replace 10 paid agentic courses.
Watch today, then read article below on how to build a self-improving agentic system with Fable 5.
I just found a tool that makes your Claude Code sessions basically unlimited. It's called 9Router and it's trending on GitHub right now.
It sits between Claude Code and 60+ AI providers. One local endpoint. That's it.
When your Claude Code quota runs out, it switches to a cheaper model.
When that runs out, it drops to a completely free one. You don't notice the switch. Your session never stops.
→ Works with Claude Code, Cursor, Codex, Cline, Copilot, and more. One setup covers your entire stack.
→ Built-in token compression saves 20 to 40% on every request. Same answers, fewer tokens to get there.
→ Tracks your quota per provider in a live dashboard so you always know where you stand.
→ Translates between OpenAI, Claude, and Gemini formats automatically. Any tool talks to any provider.
The free tier alone is wild. Kiro gives you unlimited Claude Sonnet 4.5. iFlow gives you unlimited Kimi, GLM, and MiniMax. Qwen gives you unlimited Qwen 3 Coder.
Setup is two steps. Install it, point your tool at localhost:20128. Done.
For anyone burning through Claude credits mid-session or tired of hitting rate limits at 2am, this changes what's possible on a near-zero budget.
🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
All Paid Courses (Free for First 4500 People)
𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
(72 Hours only )
Like + RT + comment ' Drive '
Must Follow me so I can DM you.
INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.
This 1 hour Stanford lecture by Joel Peterson will teach you more about negotiation and getting what you want than most people learn in years.
Bookmark it and give it an hour, no matter what.
If you really want to understand how LLMs work, try coding your own version of one from scratch.
And that's exactly what you'll do in this course: build a Llama 4-like LLM from the bottom up.
You'll build a tokenizer, learn about the attention mechanism, dive into Rotary Positional Embeddings, & lots more.
https://t.co/g1xWIqesbW
Most agent demos skip the hard part: the system around the agent.
Applied Reinforcement Learning is useful because it focuses on the engineering pieces that turn an LLM workflow into something you can operate.
The book covers:
• Route model requests and control cost
• Work from practical Python examples
• Optimize business processes, people, and resources using AI and the power of…
• Applied Reinforcement Learning teaches the essentials of business…
• In Applied Reinforcement Learning you’ll learn: RL for real-world challenges…
• In Applied Reinforcement Learning you’ll bring RL to solve common yet…
The production angle is the part I would pay attention to.
Agents are easy to demo. They are harder to deploy, scale, and keep under control once they start touching real workflows.
Good fit for engineers building internal assistants, customer support automation, research agents, or multi-step enterprise workflows.
Link in the first comment.
ANTHROPIC JUST BANNED A 110 PERSON COMPANY OVERNIGHT WITHOUT WARNING
monday morning at an agricultural tech company, every single employee wakes up to an email saying their claude account has been suspended
110 people locked out at the same time with zero warning and the email even pretended it was an individual ban with a link to a personal appeal form
it took them 10 minutes on slack to realize the entire org had been wiped at once.
not even the account admins were told it was coming
they submitted the appeal form and got no response, even after 36 hours later there was still nothing
AND it gets worse:
> their separate API account is still active and still billing them
> their admins can't log in to view usage or billing because the email addresses are banned
> they got hit with a renewal invoice the day AFTER the team account was suspended
> they have no idea what triggered it. fertilizer conversations? GPS satellites? agriculture in general?
so they're paying anthropic to get banned by anthropic while anthropic ignores their support tickets
the founder of the company laid out the bigger problem perfectly
banning an entire organization for one user's behavior means a single employee or careless intern can revoke claude access for your whole business.
there's no per seat guardrail, no admin override, no way to limit the ban radius
his words: "you have to ask yourself if this is a platform you can entrust your daily workflows to as a business"
every founder reading this who runs claude through their company should be checking right now what their actual exposure looks like
billion dollar AI company with zero enterprise customer support
🎂 07 Avril 2024 — 07 Avril 2026 : 𝗧𝗲𝗰𝗵𝗶𝗲𝘀 𝗖𝗼𝗻𝗻𝗲𝗰𝘁' 𝗕𝗿𝘂𝗻𝗰𝗵 𝗶𝘀 𝟮 !
Deux ans que vous vous retrouvez, échangez, vous inspirez mutuellement autour d'un brunch. Deux ans de rencontres qui comptent vraiment.
Une entreprise qui se veut data-driven devrait
1- exiger de tous ces employés et surtout les managers, d'être certifié en Microsoft Excel.
2- des managers en charge de plusieurs unités de production et de budget, d'avoir des connaissances en statistique, min Régression Linéaire
PSA: Claude Sonnet 4.6 is FREE exclusively in Kilo Cloud Agent, from now until midnight on February 28th.
Unlimited tokens for 36 hours. Have at it, and show us what you build.
Access here: https://t.co/83KyyqFwMO
Anthropic dropped a 33-page guide on Claude Skills...And this changes how serious teams build AI workflows
A Claude Skill is basically a reusable workflow in a folder. One https://t.co/CTRveEHjoi file teaches Claude exactly how you want tasks done consistently every time
The real insight isn’t Skills....It’s how to design them properly:
• Build micro-skills, not monoliths
• Keep instructions short and decisive
• Move heavy context into references and assets
• Always refine generated Skills manually
• Connect Skills to tools via MCP and hooks
That’s when AI stops being a chatbot… and starts becoming a system
Link - https://t.co/oUVuXLnSyf
https://t.co/pBRFjyTJgE