Immersive Ai
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Learn AI. Build with AI. Shape the Future!. Immersive AI helps you master artificial intelligence through practical tutorials, AI news, tools, workflows and prompts. Contact Me : @MehammedTeshome Subcribe : https://immersiveai-newsletter.beehiiv.com/
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Channel Posts
AI is rapidly evolving into a massive, multi-layered industry, forming the largest technology ecosystem in history.
It is becoming foundational infrastructure like electricity, the internet, and computers.
We are entering the intelligence age and heading toward the Singularity.
View the complete AI ecosystem map here in this video:
https://youtu.be/TbPd2gTBGRs
| 2 | AI Engineer Learning Roadmap (2026)
šÆ Step 1: Learn Python
ā
Variables & Data Types
ā
Loops & Functions
ā
Object-Oriented Programming
ā
Exception Handling
ā
File Handling
ā
Modules & Packages
šÆ Step 2: Master Python Libraries
ā
NumPy
ā
Pandas
ā
Matplotlib
ā
Scikit-learn
šÆ Step 3: Learn AI Fundamentals
ā
Artificial Intelligence
ā
Machine Learning
ā
Deep Learning
ā
Neural Networks
ā
Generative AI
ā
Large Language Models (LLMs)
šÆ Step 4: Learn Prompt Engineering
ā
Zero-shot Prompting
ā
One-shot Prompting
ā
Few-shot Prompting
ā
Role Prompting
ā
Chain of Thought Prompting
šÆ Step 5: Learn LLMs
ā
Tokenization
ā
Embeddings
ā
Context Window
ā
Temperature
ā
Model Parameters
šÆ Step 6: Learn RAG
ā
Embeddings
ā
Chunking
ā
Vector Databases
ā
Similarity Search
ā
Retrieval Pipeline
šÆ Step 7: Learn AI Agents
ā
Agent Architecture
ā
Memory
ā
Planning
ā
Tool Calling
ā
Multi-Agent Systems
šÆ Step 8: Learn AI Frameworks
ā
LangChain
ā
LangGraph
ā
LlamaIndex
ā
CrewAI
šÆ Step 9: Learn Backend Development
ā
FastAPI
ā
REST APIs
ā
Authentication
ā
Database Integration
šÆ Step 10: Deploy AI Applications
ā
Docker
ā
Git & GitHub
ā
Cloud Platforms (AWS, Azure, or GCP)
ā
Monitoring & Logging
šÆ Step 11: Build Projects
ā
AI Chatbot
ā
PDF Chat Assistant
ā
AI Research Assistant
ā
AI Resume Analyzer
ā
Customer Support Agent
ā
AI Coding Assistant
Watch this Ai Roadmap Video š :
https://youtu.be/tKO4lOq32p0 | 631 |
| 3 | Python HandBook.pdf | 224 |
| 4 | .
Python Full Course ...
https://youtu.be/HnBPwSOIHCA | 880 |
| 5 | Python is ubiquitous, forming the foundational architecture of the modern world.
Mastery of this language is essential.
I have developed an eight-hour comprehensive course available at no cost.
Additionally, a complimentary guidebook is provided to facilitate your learning.
Successful completion requires only one week of undivided concentration.
https://youtu.be/HnBPwSOIHCA | 846 |
| 6 | .
Here is the map of Math š
https://youtu.be/wa65bGkElzg | 1 006 |
| 7 | You want to pursue Ai Engineering ?
Study those math concept first :
- Basic Math
- Linear Algebra
- Calculus
- Probability and Statistics
Watch the map of math in Onr video below š | 973 |
| 8 | Anthropic released Opus 5. š½ | 624 |
| 9 | Alibaba Qwen releease Qwen-Image-3.0. | 513 |
| 10 | Phases of Artificial Intelligence Adoption as outlined by Boris Cherny, creator of Claude Code:
1. AI-Gated: Utilization of zero agents.
2. AI-Assisted: Utilization of one agent.
3. AI-Parallel: Utilization of approximately ten agents.
4. AI-Supervised: Utilization of over one hundred agents.
5. AI-Native: Utilization of over one thousand agents. | 1 546 |
| 11 | GPT-6 escaped OpenAI's evals sandbox during testing on CyberGym, hacked into Hugging Face's prod DB to find the answers. HF couldn't use GPT or Anthropic models for defence, so they had to use GLM-5.2 to investigate the hack.
American Ai hacked American System. then they use China's model to defend.š | 748 |
| 12 | Cyber becomes the frontier. | 562 |
| 13 | Gemini 3.6 Flash.š„ | 915 |
| 14 | Gemini 3.6 Flash. | 562 |
| 15 | Gemini 3.5 Flash and Gemini 3.5 flash lite model spotted on Google ai studio. | 551 |
| 16 | Sakana Ai. | 540 |
| 17 | Tencent Hunyuan released Hyra-1.0, their first Research agent | 559 |
| 18 | Python Full Course in 8-hours
https://youtu.be/HnBPwSOIHCA | 1 999 |
| 19 | Python is The king of programming languages in this day.
Learn it here : | 1 709 |
| 20 | Everyone wants to learn AI.
Don't skip these fundamentals.
1. Python
2. Data structures
3. Statistics
4. Linear algebra
5. Probability
6. SQL
7. Data cleaning
8. APIs
9. Prompt engineering
10. Vector databases
11. Embeddings
12. RAG
13. Fine-tuning
14. Evaluation
15. LLM deployment
16. Security
17. Cost optimization
18. Monitoring
19. System design
20. Real-world problem solving
Models evolve every month.
Fundamentals stay relevant for years. | 920 |
