Alex | Apetech | Jira Expert

All things Jira! FREE Jira Content! Check out my link below!

[Alex | Apetech | Jira Expert @apetechda]

Jira For Scrum Masters -> https://t.co/R9BHf9OM1D

[Aina @Aina_Ai2]

LEARNING CLAUDE NOW IS LIKE BUYING BITCOIN IN 2017.

MOST PEOPLE WILL REALIZE IT WAY TOO LATE.

BUILDING A ONE-PERSON BUSINESS AND MAKING $10K/MONTH IS CLOSER THAN YOU THINK.

HERE ARE 7 PROMPTS TO GET AHEAD OF 99% OF PEOPLE IN 2026:

[Charly Wargnier @DataChaz]

this guy literally put a full AI engineering curriculum on GitHub and made it 100% FREE 🤯

435 lessons.
20 phases.
320 hours.

The rule that makes this curriculum completely different:

Every algorithm gets implemented from raw math before a single framework gets imported.

You build the backprop.
You build the tokenizer.
You build the attention mechanism.

By the time you use PyTorch, it’s just a shortcut for something you already know how to code from scratch.

It spans four languages:

→ Python for ML pipelines
→ TypeScript for agent tooling
→ Rust for performance-critical components
→ Julia for numerical computation

And the best part?

Every single lesson ships something you can actually use.

You walk away with fully deployable prompts, SKILL. md files, agents, and MCP servers.

The curriculum scales from foundational math all the way up to autonomous agent swarms and production infrastructure.

Free, open-source, and MIT licensed.

repo in 🧵↓

[Rishabh @Rixhabh__]

20 GitHub repositories that will give you superpowers:↓

[AI_Explorer @ai_explorer25]

Top YouTube Channels to Master Tech Skills.

1. SQL
https://t.co/97fgCc5jmZ

2. Excel
https://t.co/dt0lVmF5HY

3. Statistics
https://t.co/GXDE2dH3OH

4. Math
https://t.co/FhzebErH6u

5. Python
https://t.co/BQS17dgaMY

6. Data Analysis
https://t.co/Mv9Y2zwLHH

7. Machine Learning
https://t.co/UB2e39883x

8. Deep Learning
https://t.co/kpMsX4ShEX

9. Java
https://t.co/NG5BF9fuwk

10. Big Data
https://t.co/ln8hkOrW3A

11. Data Engineering
https://t.co/EWrdRtZMaz

12. NLP (Natural Language Processing)
https://t.co/TVQA3AJcQn

13. Computer Vision & AI
https://t.co/hlnXziSHDg

14. Generative AI
https://t.co/wE840JV555

15. University-Level Courses
https://t.co/5ZP5NwSzi8
https://t.co/UW4DpvdXjE

16. All-in-One Learning
https://t.co/HVjOECPvBU

Like
Repost
Bookmark

Follow
@ai_explorer25
for more of these free courses. productivity content.

I'll send you in the DM.

[Charly Wargnier @DataChaz]

Forget the noise.

If you want a solid foundation in AI, this 9-part @Stanford series is still one the gold standards.

Just the core fundamentals explained by the people who teach this for a living.

Lecture 1 - Transformer:
→ https://t.co/BcPMBcIgBZ

Lecture 2 - Transformer-Based Models & Tricks:
→ https://t.co/NhRK4onWmM

Lecture 3 - Transformers & Large Language Models: → https://t.co/pQiLWGALZu

Lecture 4 - LLM Training:
→ https://t.co/pQiLWGALZu

Lecture 5 - LLM tuning:
→ https://t.co/EQrIIPeupI

Lecture 6 - LLM Reasoning:
→ https://t.co/ZNZY9QLzMQ

Lecture 7 - Agentic LLMs:
→ https://t.co/zKvdh6ogIs

Lecture 8 - LLM Evaluation:
→ https://t.co/eqM8i8VPVq

Lecture 9 - Recap & Current Trends:
→ https://t.co/BcPMBcIgBZ

Master the basics, and the rest gets easy.

[Anatoli Kopadze @AnatoliKopadze]

A Google Cloud engineer just showed how to build a full app with Claude from scratch

he spent 26 minutes showing exactly what one person with Claude can do, completely free

worth more than any $500 vibe-coding course

here's what he covers:
> raw idea to deployed app in a single session
> using Claude as the entire engineering team
> the exact workflow they use at Google
> no big team, no prior experience needed

the people who figure out what Claude can actually do are building things everyone else thinks requires a team

that's exactly why I put together a guide on Claude features most people have no idea exist

the guide is in the article below

[Rahul @sairahul1]

Anthropic pays $750,000+ a year for engineers who know how to build LLMs from scratch.

Stanford just released the exact lecture that teaches it - 1 hour 44 minutes, free, straight from CS229.

Bookmark and watch it this weekend.

It'll teach you more about how ChatGPT & Claude actually work than most people at top AI companies learn in their entire careers.

[Sulekha Tripathi @sulekhat95]

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.

[Anuj @anujcodes_21]

🚨 Anthropic just showed a 28-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free to watch. No signup. Pure gold

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Rony @Ronycoder]

Instead of watching a 2-hour movie, watch this video break down how AI is about to reshape jobs, money, and power over the next decade.

[Piyush @piyush784066]

Best YouTube Channels To Learn in 2026

1. Cybersecurity – John Hammond
2. Artificial Intelligence – Andrej Karpathy
3. AI Research Breakdown – Yannic Kilcher
4. Web Development – The Net Ninja
5. Python Programming – Corey Schafer
6. DevOps – TechWorld with Nana
7. Cloud Computing – AWS re:Invent
8. Data Analytics – Luke Barousse
9. System Design – Gaurav Sen
10. Databases – Hussein Nasser
11. Low-Level Programming – The Cherno
12. Linux – Learn Linux TV
13. Networking – David Bombal
14. Math for ML – 3Blue1Brown

[Millie Marconi @MillieMarconnni]

After 6 months of using NotebookLM, I can say it's the research tool that has revolutionized my workflow the most.

But only because I learned these 10 prompts.

Here's the complete system that turns 200 pages into clear answers in under an hour:

[Swapna Kumar Panda @swapnakpanda]

Learn Linux Absolutely FREE.

Best courses for Beginners in 2026:

1. Linux Commands
https://t.co/ccFw2qG6BG

2. Linux Crash Course
https://t.co/KvyiuvPrv2

3. Linux for Hackers
https://t.co/xVVjT39PgQ

4. Linux Zero to Hero
https://t.co/8w7n3c3jRR

5. Bash Scripting
https://t.co/aG18x5Wov9

6. Linux for Hackers
https://t.co/epdfUoZ4ar

[AI_Explorer @ai_explorer25]

15 blogs that will help you become a better engineer:

1. Uber Engineering: https://t.co/FyZjTbNhwz

2. Airbnb Tech Blog: https://t.co/fbxQAmNCKl

3. OpenAI Engineering: https://t.co/VRFLuQpmqw

4. AWS Architecture: https://t.co/nyzBoxr7Lb

5. Netflix TechBlog: https://t.co/d3Yd2Bjug2

6. Discord Engineering: https://t.co/NrJPMcOr2u

7. Anthropic Engineering: https://t.co/F5dwZ9tuG3

8. NVIDIA Developer: https://t.co/juL8OZbQD5

9. Slack Engineering: https://t.co/9AlwQCK297

10. Cloudflare Blog: https://t.co/xbmKkcTTuB

11. Figma Tech Blog: https://t.co/z52fsn9Mfb

12. Shopify Engineering: https://t.co/h9rsBho9Ys

13. Stripe Engineering: https://t.co/i56DycYcJv

14. Microsoft Engineering: https://t.co/9A39dXdptx

15. GitHub Engineering: https://t.co/XodW9hlbfP

What other blogs should be on this list?

🔖 Save for later.
🤝Follow me for more resources
📷 Repost to help other engineers learn and grow.

[Tanvir @anjum_ai]

BREAKING: Claude can now build your entire personal wealth operating system better than most financial coaches.

Here are 7 prompts to automate clarity, growth, and calm:

[Tech with Mak @techNmak]

Harvard made its Senior Engineer roadmap available to the public at no cost.

Stop paying for $2,000 bootcamps. Prof. Vijay Janapa Reddi just put the entire ML Systems (CS249r) curriculum on GitHub.

If you master these 6 pillars, you're ahead of 99% of the field:
🏛️ Architecture
🚿 Data Pipelines
🚢 Production
🛠️ MLOps
🔋 Edge AI
🔒 Privacy

This is the "Black Box" of Big Tech infrastructure, open-sourced.

Read. Learn. Bookmark.

[Aastha @aastha_mhaske]

Anthropic just launched the Claude Architect Certification!

You’ll have to complete 60 multiple-choice questions across five competency areas in a single session. No external resources or breaks.

Here’s how I’m planning to prepare for it (steal my roadmap):

Week 1
Complete the recommended courses:
- Building with the Claude API
- Introduction to Model Context Protocol
- Claude Code in Action
- Claude 101

Week 2
Build real projects with:
- Claude Code
- Agent SDK
- Anthropic API
- MCP

Week 3
Get familiar with the exam structure and guide:
- Go through the six exam scenarios
- Get familiar with the five competency areas / domains
- Learn the skills needed for each task assessment

Week 4
Do the preparation exercises from the exam guide:
- Build a Multi-Tool Agent with Escalation Logic
- Configure Claude Code for a Team Development Workflow
- Build a Structured Data Extraction Pipeline
- Design and Debug a Multi-Agent Research Pipeline

Week 5
- Take the practice exam
- Aim for a score greater than 850 / 1000

Week 6
- Take the real exam
- Only one attempt allowed

NOTES:
- At this point the certification is exclusive for Anthropic Partners and early access is free for first 5,000 partner company employees.
- Your mileage may vary depending on your skill level. E.g. It may take 2 weeks for some but 10 weeks for others.

If you are eligible, register here → https://t.co/UTBxGJAMlB

[Tech with Mak @techNmak]

Probably one of the best "from scratch" AI series out there.

[Dhairya @dkare1009]

Google just dropped a FREE AI Agents course.

And almost no one is talking about it.

10+ code samples, whitepapers, hands-on projects... all in one place.

Here’s the full breakdown (5 days):

Day 1: Foundations of AI Agents
Learn how agents actually work:
• Architecture
• Capabilities
• How they differ from LLMs

→ Build systems that can perceive, plan, act

Whitepaper: https://t.co/LGGc7UDLX2

Code: https://t.co/8XFiroXqKz

Day 2: Tools & MCP (Model Context Protocol)
Agents don’t work alone.

Learn:
• Tool usage & APIs
• MCP architecture
• Human-in-the-loop workflows

Whitepaper: https://t.co/YklFh27OX9

Code: https://t.co/iMMpPsEgox

Day 3: Context Engineering (Memory)
This is where agents become powerful.

• Sessions → short-term memory
• Persistent memory → long-term learning

Whitepaper: https://t.co/KWAOnwjXaz

Code: https://t.co/ctlpTBNUdU

Day 4: Agent Quality
Production-ready systems need reliability.

Learn:
• Logs, traces, metrics
• Evaluation frameworks
• LLM-as-a-judge

Whitepaper: https://t.co/kSaz3DK8Q3

Code: https://t.co/96DYJj4trU

Day 5: From Prototype → Production
Where most people fail.

• Deployment strategies
• Scaling agents
• Agent-to-Agent communication
• Vertex AI ecosystem

Whitepaper: https://t.co/rYub7sP1aP

Code: https://t.co/xtU4CTP3Ek

This is basically a complete roadmap to building AI agents in 2026.

And it’s 100% free.

Save this. You’ll need it later 💾

Like 👍 • Repost ♻️

Follow for no-BS AI insights 🚀

[Utkarsh Sharma @techxutkarsh]

A senior Google engineer just dropped a 421-page doc called Agentic Design Patterns.

Every chapter is code-backed and covers the frontier of AI systems:

→ Prompt chaining, routing, memory
→ MCP & multi-agent coordination
→ Guardrails, reasoning, planning

This isn’t a blog post. It’s a curriculum. And it’s free.