Uyai-Abasi Essien 🐐

Zeal and Muscle

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@Kynsofficial Magic Messi will do his thing.
No be today.
I was hoping that Portugal would win the world cup though. I'll put a hold on Portugal until Bruno retires.

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@charles_chally @abdullahayofel A lawyer for that matter.

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@aonanuga1956 What a bad take.

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@dammiedammie35 What is person saying?

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@idofoi Rufai you no well 😂

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@samuel_leeds Wonderful

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@0TH1MMM I am not doing any of it, and I am not kneeling down to propose.

[Dhairya @dkare1009]

🚨 Zero → AI Engineer in 6 Months (From fundamentals to building your AI Portfolio All for FREE)

Most people ask me this :
Where do I actually PRACTICE AI instead of just watching videos?

Here's the honest answer 👇
You don't learn AI by jumping between random tools. You learn it by building systems in the right order.

Here's the 6-month roadmap that combines Stanford-level theory, real ML thinking, and hands-on production :

🗓️ Month 1 : Core Foundations (No shortcuts)
Before AI, you need engineering basics
→ Python (data structures, OOP)
→ Math for ML (Linear Algebra, Probability)
→ How models actually work
Start here (beginner friendly): https://t.co/4AqGoZdRa1
Output : Simple ML scripts + GitHub repo

🗓️ Month 2 : Machine Learning
Core This is where most people quit, and where real engineers are made
→ Supervised & unsupervised learning
→ Feature engineering
→ Model evaluation & bias
🎓 Stanford CS229 – Andrew Ng https://t.co/DdH6OXgAd4
Output : End-to-end ML project (data → model → evaluation)

🗓️ Month 3 : Deep Learning Systems
Now you stop "using models" and start understanding them
→ Neural networks, CNNs, RNNs
→ Training deep models properly
→ Debugging learning failures
🎓 CS230 – Deep Learning https://t.co/GXEFmkp3Hl : Deep learning project with real training logic

🗓️ Month 4 : LLMs & Generative AI
This is where GenAI finally makes sense
→ Transformers & attention
→ Embeddings & vector search
→ NLP foundations
🎓 CS224N – NLP with Deep Learning https://t.co/pnXcUR2aag
🎓 CS224U – Language Understanding https://t.co/A87N3vxsxV
Output : LLM-powered system (not just prompts)

🗓️ Month 5 : AI Systems & MLOps
This is the difference between demos and production
→ Model deployment (APIs)
→ Vector databases
→ Monitoring & evaluation
→ CI/CD for ML
🎓Made With ML (MLOps Course) https://t.co/tQhK8hoYg7
Output : Deployed AI system with monitoring

🗓️ Month 6 : Real-World AI Engineering
Now you think like an AI engineer, not a learner
→ Data pipelines
→ Scale & performance
→ Security & privacy
→ Case studies (fintech, healthcare, SaaS)
🎓 CS221 – Artificial Intelligence https://t.co/aBXffHDEmq
🎓 CS234 – Reinforcement Learning (Agents mindset) https://t.co/RDeiUiBK5f

Save this. Follow the order. Most people fail because they skip steps, not because they lack talent
Which month are you currently at? 👇

♻️ Repost to someone who's been stuck in tutorials

[Abraham Okah(info hub) @AbrahamOkah2]

Goldmineeeeeeeeeee

YOUTUBE AUTOMATION COURSE FROM A-Z 🥳

How to get started, how to pick a niche, Clear roadmap for beginners and everything else
You’re welcome!

https://t.co/h0tHc5nQNp

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@MkpoutoPius @taadelodun Congratulations

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@Oludeewon Yes

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@Kynsofficial Even Stevie Wonder knows that Obi is unpopular but why is he and his party afraid of enacting a policy framework that will guarantee a free and fair election?

[Job Corner @JOBCORNER247]

Free Certification Courses to Learn Data Science in 2026:

1. Python
🔗 https://t.co/dIF8TuaOLu

2. SQL
🔗 https://t.co/Ge4bFjars9

3. Statistics and R
🔗 https://t.co/41ya4HlxPS

4. Data Science: R Basics
🔗https://t.co/56xixoYoMg

5. Excel and PowerBI
🔗 https://t.co/oWULVWbQPg

6. Data Science: Visualization
🔗https://t.co/eQ7buwP4QU

7. Data Science: Machine Learning
🔗https://t.co/RYTIF3cocp

8. R
🔗https://t.co/aPvThGhFHw

9. Tableau
🔗https://t.co/94KUoem3Bf

10. PowerBI
🔗 https://t.co/gOV6kIG2kQ

11. Data Science: Productivity Tools
🔗 https://t.co/0fvxcgIQ4W

12. Data Science: Probability
🔗https://t.co/J0eC5jlOGX

13. Mathematics
🔗https://t.co/b62getHyo7

14. Statistics
🔗 https://t.co/Y82ToFqsFs

15. Data Visualization
🔗https://t.co/Yz8e2T6mdn

16. Machine Learning
🔗 https://t.co/VoHcNGJvfC

17. Deep Learning
🔗 https://t.co/TY3cjGHXdK

18. Data Science: Linear Regression
🔗https://t.co/5N2UOWUgxw

19. Data Science: Wrangling
🔗https://t.co/zTsUAAn1hE

20. Linear Algebra
🔗 https://t.co/UPNbNapSf0

21. Probability
🔗 https://t.co/UdOPPPyYJ8

22. Introduction to Linear Models and Matrix Algebra
🔗https://t.co/3hOAvinvhe

23. Data Science: Capstone
🔗 https://t.co/ac8w6CLS9T

24. Data Analysis
🔗 https://t.co/tKh5FYjMRM

25. IBM Data Science Professional Certificate
https://t.co/gFsFS3B6zu

26. Neural Networks and Deep Learning
https://t.co/SPyU710NvG

27. Supervised Machine Learning: Regression and Classification
https://t.co/ATOsYimRAJ

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@Esmart26 I shouldn't fantasize about my homeland? Are you serious?

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@AEW_Blog @JonMoxley @ReneePaquette Is he now a face or heel?

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@Wrestlish_WAR 1

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@channelstv #POTUS Nigeria needs immediate intervention. It is obvious that the federal government of Nigeria is ineffective in securing the lives and property of its citizens.

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@Peps_Wrestling TNaa really did him dirty.

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@AndreArkade AEW AEW AEW... That's the spirit.
Thank you Tony Khan.

[Uyai-Abasi Essien 🐐 @Beaunom4ever]

@WrestleOps AEW