Antoinette Brew-Wartemberg

Entrepreneur || Software Engineer || Data Analyst || UI/UX Designs

[Swati Gupta @hrswatigupta]

ANTHROPIC ENGINEER:

"DON'T PROMPT CLAUDE. BUILD A SYSTEM THAT PROMPTS ITSELF."

In this free workshop, he explains why most people use Claude the wrong way.

And how to turn one AI into an entire team of AI agents.

He covers:

• Proper CLAUDE.md setup
• Plugins almost nobody uses
• Advanced prompt caching (95% cache hit rate)
• Why starting every chat from scratch is a mistake
Worth more than most paid Claude courses.
Watch this and bookmark it.

[Alibaba Cloud @alibaba_cloud]

Small teams don't need an AI tool for every job title. They need one plan.

Alibaba Cloud Token Plan consolidates text, image, video, and audio into a single credit pool, with access to Qwen and third-party models.

Simplify your AI spend, starting at $4 for the first month.

[Mohini Goyal @Mohiniuni]

🚨 Everyone wants to build AI agents.

Almost nobody learns the skills in the right order.

The truth?
AI agents are just a combination of a few simple concepts stacked together.

Master these 10 concepts, and you'll be ahead of 90% of people talking about AI online.

🔖 Bookmark this.

1. Learn Prompt Engineering First:

Learn how to communicate clearly with AI.
Everything else builds on this.

2. Learn Structured Outputs

Most beginners ask for text. Professionals ask for systems.

Learn:
→ JSON
→ Schemas
→ Structured responses
→ Data validation
This is where AI starts becoming reliable.

3. Learn How AI Actually Reasons:

→ Chain of Thought
→ ReAct
→ Tool Use
→ Planning
Once you understand this, AI stops feeling random.

4. Learn Retrieval (RAG)

This is the difference between:
❌ Generic AI
and
✅ AI that knows your documents

Your PDFs.
Your research.
Your company knowledge.
Your SOPs.

5. Learn Memory Systems:

→ Short-term memory
→ Long-term memory
→ Knowledge bases
→ Context management

This is where agents become useful.

6. Learn Automation:

→ Workflows
→ Triggers
→ Actions
→ Integrations

This is where real leverage begins.

7. Learn Multi-Agent Systems:

One agent is useful. Multiple specialized agents are powerful.

Examples:
→ Research Agent
→ Writer Agent
→ Analyst Agent
→ QA Agent

Each does one job exceptionally well.

8. Learn APIs

This is the skill nobody wants to learn. It's also where opportunities explode.

APIs let AI connect with:

→ Gmail
→ Notion
→ Slack
→ Sheets
→ CRMs
→ Databases

Without APIs, your agents stay isolated.

9. Learn Deployment

An AI agent nobody uses is just a project. Learn how to turn workflows into:
→ Apps
→ Dashboards
→ Internal tools
→ Client solutions

This is where value gets created.

10. Learn Evaluation

The most underrated AI skill. Everyone builds.
Learn:
→ Testing
→ Reliability
→ Benchmarking
→ Improvement loops

This is how serious AI systems get better.

The biggest mistake beginners make?
They jump straight to "Build an AI Agent."

Without learning the foundations.

That's like trying to build a house before learning how tools work.

So I've attached 11 of the best free AI courses I've found.

1. Google Prompting Essentials Specialisation
https://t.co/NLqMvdyUVF

2. Generative AI: Prompt Engineering Basics
https://t.co/oXH10kg1eT

3. Start Writing Prompts like a Pro
https://t.co/xv4qu0Mnoz

4. Prompt Engineering for ChatGPT
https://t.co/tYbVSla6Jf

5. Google Prompting Essentials Specialisation
https://t.co/NLqMvdyUVF

6. AI Foundations for Business Professionals Specialisation
https://t.co/yF8Y1fs0AN

7. Advanced Topics in Artificial Intelligence
https://t.co/D6X3JwFLfs

8. Deep Learning Specialisation
https://t.co/L3lXfsCwe0

9. GPT Vision: Seeing the World through Generative AI
https://t.co/PMncYnNueG

10. AI Agent Developer Specialisation
https://t.co/BnOgL9O6Yo

11. Agentic AI and AI Agents for Leaders Specialisation
https://t.co/tyk02WPsM9

If you're serious about AI in 2026, start there.

Most people will save this 🔁

[Antoinette Brew-Wartemberg @annette0090]

@TommiPedruzzi Guide

[rari @0xwhrrari]

Google just released a free 1-hour course

On becoming an AI engineer in 2026:

00:00 - Context engineering
10:00 - Building and deploying AI agents
31:52 - Agentic loops and long-running agents
43:22 - Building an MCP server from scratch
51:20 - Prompt engineering
59:10 - The future of AI development

This one video can replace a $300 AI engineering course

Bookmark and watch it today

Then read the article below

[Khushi Agarwal @Aicoder786]

INSTEAD OF WATCHING NETFLIX TONIGHT.

Spend 1 hour with this.

Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.

The people who watch this tonight will wake up tomorrow with a new skill.

Watch it and Bookmark it now.

[Jay Bisen @JayBisen473370]

🚨 Harvard just made its AI course free.

No tuition.
No application.
Just world-class AI education.

Harvard University just released 6 high-quality lectures on AI + Prompt Engineering— and anyone can access them.

If you're serious about AI in 2026, start here:

🎓 Harvard University LECTURES

1. Introduction to Generative AI
A step-by-step guide to how GenAI actually works.
Link: https://t.co/Mbh9PzwB8J

2. Prompt Engineering
Real tips for improving output quality from any LLM.
Link: https://t.co/zLnhwbNBR1

3. Beyond Chatbots: System Prompts, RAG
Move past surface use cases into scalable applications.
Link: https://t.co/bOszFzbRvG

4. Generative AI in Teaching & Learning
How educators can adapt and lead with AI.
Playlist: https://t.co/IHi4EDaJru

5. Teaching with AI in the Classroom
Frameworks for trainers and educators.
Link: https://t.co/IRlTE4vmD1

6. The Basics of Generative AI
No jargon. Just clarity.
Link: https://t.co/KoL1SQNh0y

BONUS

🟩 CS50x 2025 – Artificial Intelligence Lecture
LLMs, neural nets, and real-world use cases
Link: https://t.co/PzA0dW60Xl

🟩 CS50 Extension – AI / Prompt Engineering
Design prompts that think with you
Link: https://t.co/g1IEspxlJ8

🟩 GPT-4: How it works + how to build with it
Behind the curtain on GPT-4
Video: https://t.co/wshBHUTH71

🟩 LLMs and the End of Programming
Why prompting is the new coding
Video: https://t.co/DxoJhBekl1
---

💡 REALITY CHECK

✅ Harvard-level AI knowledge is now free
✅ Prompting = career acceleration
✅ 2 lectures can put you ahead of 90% of professionals
✅ The future belongs to people who can “talk to machines” strategically

Don’t just consume AI. Learn how to control it.

👇 Which lecture are you starting with?

♻️ Repost to help others learn AI

🔖 Save this (you’ll need it later)

🔔 Follow @JayBisen473370 for more AI insights

[Sauda Moni @sauda_coder]

Best YouTube Playlists to learn Programming:

C
https://t.co/K7HVltigZY…

C++
https://t.co/K7HVltigZY…

Python
https://t.co/kR3sMQjQKW…

Java
https://t.co/K7HVltigZY…

C#
https://t.co/kR3sMQjQKW…

SQL
https://t.co/kR3sMQjQKW…

Go
https://t.co/kR3sMQjQKW…

PHP
https://t.co/K7HVltigZY…

Swift
https://t.co/K7HVltigZY…

Kotlin
https://t.co/kR3sMQjQKW…

Dart
https://t.co/K7HVltigZY…

Ruby
https://t.co/K7HVltigZY…

Rust
https://t.co/K7HVltigZY…

TypeScript
https://t.co/K7HVltigZY…

R
https://t.co/K7HVltigZY…

React
https://t.co/K7HVltigZY…

Next.js
https://t.co/kR3sMQjQKW…

Node.js
https://t.co/K7HVltigZY…

HTML/CSS
https://t.co/K7HVltigZY…

Machine Learning
https://t.co/K7HVltigZY…

Deep Learning
https://t.co/K7HVltigZY…

DSA
https://t.co/K7HVltigZY…

If you’d love to see more content like this, don’t forget to follow @sauda_coder for more AI magic.

[Shalini Goyal @goyalshaliniuk]

Ever wondered how AI agents evolved from simple text models to full-fledged task performers?

Here’s a breakdown of AI Agent’s journey from basic LLMs to memory-enabled, self-learning agents.

Here’s how the evolution took place:

1. Basic LLM Agent
Starts with a plain language model that takes text input and gives text output. No memory, no tools,  just raw prediction.

2. File Input Agent
These agents can read structured or unstructured files like PDFs and spreadsheets to answer questions with added context.

3. Tool Use Agent
Here comes the real power,  these agents can call APIs or internal tools to fetch and use real-time data.

4. Tool + Memory Agent
Mixes tool use with memory. These agents retrieve past conversations and documents to give more relevant answers.

5. Multi-Memory Agent
Goes a step further by adding short-term, long-term, and episodic memory, learning from interactions across time.

6. Future Agent Architecture
The goal: fully autonomous agents that self-learn, use planning modules, and collaborate with humans and other agents.

Save this if you’re exploring how to build better AI agents or want to understand where the future is headed.

[Lewes @Lewes_Ai]

10 Github Repos That Turn Your Claude Into a Productivity Machine

[Julian Goldie SEO @JulianGoldieSEO]

N8N FULL COURSE 1 HOUR (Build & Automate Anything)

[Anuj @anujcodes_21]

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.

[Alexa Bliz @AlexaBliz_]

No hints
No clue
Just pure logic...!

What's your answer?

[Dipanshu Kushwaha @Dipanshu_AI]

INSTEAD OF WATCHING NETFLIX TONIGHT.

Spend 1 hour with this.

Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.

The people who watch this tonight will wake up tomorrow with a new skill.

Watch it and Bookmark it now

[Rohit @heyrohitai]

🚨Anthropic just showed a 24-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!

[BookNote @BookNoteApp]

the book the lesson

[Technology & Machines 👩‍💻⚙️ @logiclpd]

One Word substitution

[mood novella @moodnovella]

Chapter 04/365🧡

[Reads with Ravi @readswithravi]

Communication is a superpower.