🚀 Become an Agentic AI Builder — Free 12‑Week Certification by Ready Tensor

Ready Tensor’s Agentic AI Developer Certification is a free, project first 12‑week program designed to help you build and deploy real-world agentic AI systems. You'll complete three portfolio-ready projects using tools like LangChain, LangGraph, and vector databases, while deploying production-ready agents with FastAPI or Streamlit.

The course focuses on developing autonomous AI agents that can plan, reason, use memory, and act safely in complex environments. Certification is earned not by watching lectures, but by building — each project is reviewed against rigorous standards.

You can start anytime, and new cohorts begin monthly. Ideal for developers and engineers ready to go beyond chat prompts and start building true agentic systems.
👉 Apply now

my deep learning journey has started, am diving deep using fastai resources.

I will be working on this for today.

After spending my time on deep learning, I'm on mathematics crushing Matrices.

How many of you're registered for this?

please comment, and let's grind it together.

I started the course, and will expect to submit the first project on September.

@yonasdev

Today, I was exploring scalar multiplication and solution for system of linear equations.

x_general_soln = x_particular + x_null_space_vectors 😊

After grabbing the foundational math of Ai, I will explore dynamics, mechanics, and other physics concepts so that we can build robots for Eth and the world😂🦾🤖.

I just completed lesson 1 and 2 of Agentic AI course, and these are what I covered:
1- What's Agentic AI.
2- Why AI agents follow Observe, Orient, Decide, Act(OODA) loop
3- What mean by Multi-Agent System(MAS)
4- The two architectures of MAS:
- Centralized
- Decentralized
5- The Core components of AI Agents:
- Architectural :- LLMS, Tools(like Apis, DB, Email...), Memory(Short and Long Term)
- Cognitive:- Perception, Reasoning, Action, and Feedback & Learning
6- Autonomous behavior of Agents
- Full-autonomous
- Human-in-the-loop
- Human-on-the-loop
Thanks!
Let's Push...🦾

@yonasdev

DriveTrain approach to build AI solutions:
Objective -> Lever(action) -> Data -> Model

🧠 Deep Learning Applications
1. Computer Vision
2. Natural Language Processing (NLP)
3. Generative AI (Text, Images, Audio, Code)
4. Recommendation Systems
5. Healthcare & Medical Imaging
6. Finance & Fintech
7. Robotics & Autonomous Systems
8. Speech & Audio Processing
9. Cybersecurity
10. Multimodal AI
11. Climate & Environmental Modeling
12. Scientific Research (Physics, Chemistry, Biology)
13. EdTech & Adaptive Learning
14. LegalTech & Contract Analysis
15. Smart Assistants & Agents (Agentic AI)
16. Retail & Supply Chain Optimization
17. Social Media Monitoring & Sentiment Analysis
18. Industrial IoT & Predictive Maintenance
19. Agriculture & Food Systems
20. Creative Arts & Design (AI Art, Music, Film)

Are there any AI researchers from Ethiopia?

We should strive and be the ones in this AI race.

Did you know? Meta is paying billion dollars for AI/Ml scientists.

Have you seen his imoji (🦄) anywhere? What does it describes?

🦄 has many meanings.
1- Unicorn: a startup valued 1Bilion+ dollars(like canva, stripe, openAI)
2- Someone or something unique
3- Magic and imagination...

I attached a link to a complete list of unicorn companies: https://www.cbinsights.com/research-unicorn-companies
LET'S BUILD ONE FROM ETHIOPIA😂

Update on My Agentic AI Journey:
I completed lesson 3 and 4 of the AAIDC.
Topics:
1- Agentic AI applications
2- Tools and frameworks to build AI Agents like langgraph, screw Ai, and others.

@yonasdev