🚀 VINE HUB IS HEADING TO THE DUBAI AI FESTIVAL 2026!
The future of AI isn’t just about building smarter technology. It’s about turning intelligence into real business value, creating new opportunities, and transforming how organisations operate and grow.
#DubaiAIFestival
STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI.
I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses.
VIDEOS:
1. LLM Introduction — https://t.co/dMRYzv2glK
2. LLMs from Scratch — https://t.co/ZqJA58p4IV
3. Agentic AI Overview (Stanford) — https://t.co/yV6998qIQd
4. Building & Evaluating Agents — https://t.co/5mUQAfc8It
5. Building Effective Agents — https://t.co/MMhhwDV0f4
6. Building Agents with MCP — https://t.co/O2P1yXc6k5
7. Building an Agent from Scratch — https://t.co/AVsw8VzQTS
8. Philo Agents — https://t.co/9KXVt3LpVB
GITHUB REPOS:
1. GenAI Agents — https://t.co/eF7J3oVDDM
2. Microsoft AI Agents for Beginners — https://t.co/SN89Ce2H4m
3. Prompt Engineering Guide — https://t.co/OZVkfc3UCd
4. Hands-On Large Language Models — https://t.co/uvHgW6uqfP
5. GenAI Agents — https://t.co/jcdXdhUTds
6. Made with ML — https://t.co/ImutBpTHRY
7. Hands-On AI Engineering — https://t.co/G01J4TBsdh
8. Awesome Generative AI Guide — https://t.co/Gzqjbw4fjZ
9. Designing Machine Learning Systems — https://t.co/XPIrAuGbzB
10. Machine Learning for Beginners — https://t.co/cRRLcQgmif
11. LLM Course — https://t.co/JuvicKuwLc
GUIDES:
1. Google's Agent Whitepaper — https://t.co/kHkvXYu2vB
2. Google's Agent Companion — https://t.co/r2EwHcDQuL
3. Building Effective Agents by Anthropic — https://t.co/HAiHJZf80C
4. Claude Code Agentic Coding Practices — https://t.co/dF5Oa4Rw10
5. OpenAI's Practical Guide to Building Agents — https://t.co/U2hUuv8IH4
BOOKS:
1. Understanding Deep Learning — https://t.co/xVKGHk8yp4
2. Building an LLM from Scratch — https://t.co/A1djwzzzc2
3. The LLM Engineering Handbook — https://t.co/XEkavMrKMJ
4. AI Agents: The Definitive Guide — https://t.co/UsFUB2YH1Z
5. Building Applications with AI Agents — https://t.co/kSjvEDd5On
6. AI Agents with MCP — https://t.co/xHgPjZ8znI
7. AI Engineering — https://t.co/8orWlnvAzm
RESEARCH PAPERS:
1. ReAct — https://t.co/ObYdX0TWjd
2. Generative Agents — https://t.co/vNukwpGAXg
3. Toolformer — https://t.co/5PCXYSIvve
4. Chain-of-Thought Prompting — https://t.co/epdlBkOCbu
COURSES:
1. Meta Data Analyst Professional Certificate: https://t.co/SGNCeOIGh2
2. Google Advanced Data Analytics Professional Certificate: https://t.co/FzC2gfllVu
3. Microsoft Power BI Data Analyst Professional Certificate: https://t.co/LElfRkZX4B
4. Google Data Analytics Professional Certificate: https://t.co/Yxymfd4HJz
5. Introduction to Data Analytics: https://t.co/rEzeCNEiRN
6. Machine Learning Specialization: https://t.co/lBiHlPzC6z
7. IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate: https://t.co/vVpcYYw0Kk
8. Deep Learning Specialization: https://t.co/5gRjuy7Nca
9. Crash Course on Python: https://t.co/D6JCUU3i0X
10. Python for Data Science, AI & Development: https://t.co/SkKtfXTe7P
11. ChatGPT + Excel: AI-Enhanced Data Analysis & Insight Specialization: https://t.co/lv8GNM2CvN
12. Work Smarter with Microsoft Excel: https://t.co/tZ3XiLs3KA
13. Microsoft Excel Professional Certificate: https://t.co/EZ65YvmgUj
14. Excel Basics for Data Analysis: https://t.co/wEYI2zKteO
15. SQL Foundations: https://t.co/PzfiCYsSVA
Repost so someone else can find this roadmap, and pls consider following @Mohiniuni for more content around AI, Beauty, and businesses.
Excited to represent Vine Hub at the Dubai AI Festival 2026 on 26–27 October.
We’re building at the intersection of enterprise AI, intelligent automation, and digital transformation, with a mission to help organisations turn emerging technologies into measurable business value
Google just released the best 1-hour course on Graph Engineering: from single agent to a full 24/7 system
00:00 - What Graphs are
09:16 - Build an agent
21:15 - Graph engineering explained
41:03 - Graph engineering practice
52:21 - Self improving Graphs
Free, the best thing on Graph engineering I've come across
Watch it, then build your first graph with the step-by-step guide below
My friend applied to 150 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. A 3-hour course to build a full LLM from scratch.
A developer teaches you exactly how LLMs like ChatGPT and Claude are actually built.
I watched it last night.
Halfway through, I realized I could break into an AI lab in weeks, not years.
Bookmark this and read the article below.
• 00:00 - intro to building LLMs
• 17:58 - LLM tokenization
• 01:06:03 - LLM embedding vectors
• 02:46:55 - LLM transformer architecture
• 03:25:05 - GPT architecture
We promised open weights for Qwen3.8. Now, time to meet them! 🎉
⚡ Qwen3.8-27B:
- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
- 262K native context, easily extendable to 1M tokens via YaRN.
- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.
🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.
Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!
Download, deploy, and build something we haven't imagined yet. 👀👇
- Hugging Face:
https://t.co/4kaAcqYEVj
- ModelScope:
https://t.co/eRIMZCGkhC
In a span of 3 days: Grok 4.6, Muse Glimmer, Nemotron 3.5 Lightning and DeepSeek V4 Pro 0813 dropped.
Few advances worth noting:
First post-training on these checkpoints are showing incredible results in a short amount of time. It could be overfitting to benchmarks but this kind of leap where Grok 4.6 is nearing Fable territory is impressive regardless.
Second, the 30B model is growing even more competitive but Qwen 3.6 27B and soon Qwen 3.8 27B still takes the reign. NVIDIA is focusing big time on inference throughput supporting MTP, DSpark, and DFlash. It also runs great on my DGX Spark at home.
Finally, open models are taking shape here in the US as more companies put out serious models that is starting to compete against Chinese labs that have largely dominated for some time.
Andrej Karpathy:
"Prompting is fading away. Delete everything else and keep the graph."
In 1 hour he explains why the graph is the layer that survives, and how to build one
LLMs → Prompts → Agents → Graphs
everything before the graph is a step
the graph is where the system ends up
this lecture is worth more than most $1,000 agent engineering courses
watch it today
then save the full guide below before everyone catches up ↓
🚨¡BOMBAZO! El ingeniero que creó Claude Code desde cero acaba de soltar un video de 28 minutos que es puro oro:
cómo escribir prompts que realmente entregan resultados brutales.
He visto cursos de 300 dólares que no llegan ni a la suela de lo que él explica en los primeros 10 minutos.
Archivos CLAUDE.md, atajos de memoria, sesiones paralelas y patrones de prompting que casi nadie usa…
Todo en un solo video. Completamente gratis. Sin relleno.
Da igual si eres desarrollador, estás empezando o ya llevas meses con Claude: esto te cambia el juego desde hoy.
Guárdalo. Míralo. Compártelo.
Anthropic engineer:
"The fastest way to make an agent better isn't a smarter model, it's the right loop and graph around it."
In 60 minutes she breaks down how Anthropic engineers use Claude Code, build agents that catch their own mistakes and improve with every run.
This beats any $500 agentic engineering course you can find.
Watch it, then read the full guide on loops and graphs below.
INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.
This 60-minute Cambridge lecture by Demis Hassabis will teach you more about the future of AI than most people will learn in the next 5 years.
Bookmark it and give it an hour, no matter what.
If you’re a hardcore software engineer and want to build the everything app, please join us by sending your best work to [email protected].
We don’t care where you went to school or even whether you went to school or what “big name” company you worked at.
Just show us your code.