Become AI Engineer for Free -> Complete GitHub AI/ML resources!
Programming & Fundamentals
1- https://t.co/mZTVTJy7DR – Curated list of project-based tutorials (includes Python basics + hands-on programming projects)
2- https://t.co/YM1ovprZQP – Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow (code from the bestselling book, free notebooks)
Machine Learning & Deep Learning
3- https://t.co/coEoT2ePJw – Curated list of awesome Machine Learning frameworks, libraries, and resources (by language)
4- https://t.co/lsQrSTD5tc – Curated list of awesome Deep Learning tutorials, projects, books, and communities
5- https://t.co/82TCFaldEs – Microsoft's free 12-week ML curriculum with lessons and quizzes
Generative AI & LLMs
6- https://t.co/bEYNdUwTkG – Comprehensive roadmap for Generative AI with free resources and projects
7- https://t.co/CKZG4Bi1VQ – State-of-the-art library for NLP, LLMs, and transformers (examples, models, and tutorials)
Hands-on Projects & Labs
8- https://t.co/uQZsaEzJfN – 500+ AI/ML/DL/CV/NLP projects with free code
9- https://t.co/0muGB2zg5e – Free ML engineering bootcamp with practical projects and deployment
MLOps & Production
10- https://t.co/dUs7W5OxIi – Free MLOps course covering experimentation, deployment, monitoring, and CI/CD
11- https://t.co/aLFmoCYkFC – Curated list of awesome MLOps tools, platforms, and references
Roadmaps & Interviews
12- https://t.co/vXdLdFmZTy – AI Engineer Roadmap 2025 – Learn AI, ML, Deep Learning, MLOps, and Big Data with projects & resources
13- https://t.co/RdvRMP1pFW – Comprehensive AI roadmap (Data Science, Generative AI, Agentic AI) with week-by-week plans and projects
✅Like & Repost for others!
Stop wasting hours trying to learn AI. 📘📚
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📹 Videos:
1. LLM Introduction: https://t.co/Qja4lkPWlY
2. LLMs from Scratch: https://t.co/DAtGeO5if3
3. Agentic AI Overview (Stanford): https://t.co/APcq2oulIY
4. Building and Evaluating Agents: https://t.co/UeCQBskKUS
5. Building Effective Agents: https://t.co/B2tpQHaVoz
6. Building Agents with MCP: https://t.co/CwVBIVUjd0
7. Building an Agent from Scratch: https://t.co/u2jhiZy6UV
8. Philo Agents: https://t.co/lFMIus5CpQ
🗂️ Repos
1. GenAI Agents: https://t.co/yoTno6RBAb
2. Microsoft's AI Agents for Beginners: https://t.co/EGGYhcMq7b
3. Prompt Engineering Guide: https://t.co/fSCoEaFtNf
4. Hands-On Large Language Models: https://t.co/TvpkfJN2sR
5. AI Agents for Beginners: https://t.co/EGGYhcMq7b
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/cCWWXKh2wW
8. Hands-On AI Engineering:https://t.co/fiLwjmXR8B
9. Awesome Generative AI Guide: https://t.co/MEhtfRlhiu
10. Designing Machine Learning Systems: https://t.co/l21VO4rRBK
11. Machine Learning for Beginners from Microsoft: https://t.co/d3EPcDJWmz
12. LLM Course: https://t.co/xXxETt90eS
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/rVDu4EyPB5
2. Google's Agent Companion: https://t.co/IWjvSpSE2q
3. Building Effective Agents by Anthropic: https://t.co/0wK5pe5DD6.
4. Claude Code Best Agentic Coding practices: https://t.co/fu7GHgvnAi
5. OpenAI's Practical Guide to Building Agents: https://t.co/sXpo72PxpI
📚Books:
1. Understanding Deep Learning: https://t.co/YRV9Kz78Gy
2. Building an LLM from Scratch: https://t.co/naslph9aCF
3. The LLM Engineering Handbook: https://t.co/BwmUJ6OgHe
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/ZIDeOOamnz
5. Building Applications with AI Agents - Michael Albada: https://t.co/409SxePxhA
6. AI Agents with MCP - Kyle Stratis: https://t.co/3k9lFG3ByM
7. AI Engineering: https://t.co/tHfgc3wNKQ
📜 Papers
1. ReAct: https://t.co/8yV9k9RjOK
2. Generative Agents: https://t.co/PpaAbCvWmj.
3. Toolformer: https://t.co/mSfjjT6urU
4. Chain-of-Thought Prompting: https://t.co/uGktDnFBOb.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/4MLjHKcWSI
2. MCP with Anthropic: https://t.co/EnUWTrvaK4
3. Building Vector Databases with Pinecone: https://t.co/AmQzrCVweX
4. Vector Databases from Embeddings to Apps: https://t.co/HZbr4UBlw2
5. Agent Memory: https://t.co/TxvrpeBMFj
Repost for your network ♻️
All you need in 2026 to get rich:
• A laptop with internet access
• $0 in your account
• Focus
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• Excel
• Power BI
• SQL
• A Twitter or LinkedIn account
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• The rest will be history
Data Analyst.
Responsibilities
· Prepare reports and dashboards
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Requirements
· 0–2 years of experience in data analysis or internships
· Solid understanding of SQL fundamentals
· Strong Excel skills (functions, pivots)
· Basic knowledge of BI or data visualization tools
· Analytical mindset and attention to detail
· Ability to explain insights clearly
Benefits
· Fully remote work
· Fixed salary paid in USD
· Paid training & mentorship
· Flexible working hours
· Clear growth path in data & analytics
· Supportive remote team
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Send your CV to [email protected]
Subject: Junior Data Analyst – Remote
Good luck
They brought out horn to cürse us. They want to jeopardize our future. Their prayers will not come to pass and we will protest whether they like it or not — Lady slams traditionalists who dared intending protesters in Ikorodu
'I used to give away food, now I'm being assisted with food.'
In northern Nigeria, 4.4 million children under five are acutely malnourished, more than double last year’s figure according to the World Food Programme.
The BBC’s @Mss_Deeynah met with affected families in Katsina.
| shameless FCT minister asking impoverished Nigerians to lease The Eagle Square in Abuja, a public infrastructure.
We shall pay no #ShiShi & hold our #EndBadGovernanceInNigeria protest there.
We're done according your ilk undeserved respect #ShegeBanza#RevolutionNow
Damilare Adenola is not only resourceful, he is smart. He spoke for all the youths of Nigeria against the lies & the insincerity of the government. We owe every youth speaking against the hunger, our support. THANK YOU Dami, you have our support. 👏👏