30k Subscribers on Youtube.
Thank you!
Link : https://www.youtube.com/@EmmersiveLearning/?sub_confirmation=1
Thank you!
Link : https://www.youtube.com/@EmmersiveLearning/?sub_confirmation=1
❤6🔥5👍2
Forwarded from Muhammed Teshome
It's December 1.
You have 1 month to 2026.
You can master 1 skill in 1 month.
You can Build The idea in your mind.
#Just_a_reminder
You have 1 month to 2026.
You can master 1 skill in 1 month.
You can Build The idea in your mind.
#Just_a_reminder
❤9👍5
Master these 20% concepts that covers 80% of every programming language.
1. Variables & types
2. Loops
3. Functions
4. Conditionals
5. Arrays
6. Operators
6. Logic
7. Debugging
8. Modules
9. Error handeling
10. Memory management
1. Variables & types
2. Loops
3. Functions
4. Conditionals
5. Arrays
6. Operators
6. Logic
7. Debugging
8. Modules
9. Error handeling
10. Memory management
❤12
link= https://youtu.be/VZKNq5xHP-4?si=qOuTEF5FUj-R26Zs
def learnPython:
print("Learn Python at +, link ")
Learn Python here : https://youtu.be/VZKNq5xHP-4?si=qOuTEF5FUj-R26Zs
❤4😁4
Forwarded from Immersive Ai
the Architects of AI are TIME’s 2025 Person of the Year.
It includes :
1. Elon Musk
2. Sam Altman
3. Demis Hassabis
4. Mark Zuckerburg
5. Jenson Huang
6. Lisa su
7. Dario Amodai
8. Fei fei li
@ImmersiveAi
It includes :
1. Elon Musk
2. Sam Altman
3. Demis Hassabis
4. Mark Zuckerburg
5. Jenson Huang
6. Lisa su
7. Dario Amodai
8. Fei fei li
@ImmersiveAi
❤3
SaaS landing page cheat code:
Hero: Promise one specific outcome
Social proof: Show it’s real
Features: Prove you can deliver
Objections: Handle them directly
CTA: Make it crystal clear what happens next
That’s it. Stop overcomplicating.
Hero: Promise one specific outcome
Social proof: Show it’s real
Features: Prove you can deliver
Objections: Handle them directly
CTA: Make it crystal clear what happens next
That’s it. Stop overcomplicating.
❤6
Forwarded from Immersive Ai
Opinion on AI and the future of work:
Knowing "what to do" is more important than knowing "how to do".
AI is basically solving all the "how tos"
Knowing "what to do" is more important than knowing "how to do".
AI is basically solving all the "how tos"
❤4👍1
MASTERING PLAN FOR FULL STACK DEVELOPMENT IN THE AI TREND
STEP 1: BUILD STRONG FOUNDATIONS
→ Learn how the web works (HTTP, DNS, client-server model)
→ Understand frontend vs backend roles
→ Learn Git and version control basics
→ Master software development fundamentals (variables, loops, conditionals, functions)
STEP 2: LEARN FRONTEND DEVELOPMENT
→ HTML semantics and structure
→ CSS layout techniques (Flexbox, Grid)
→ Responsive design principles
→ JavaScript fundamentals
→ DOM manipulation and event handling
MODERN FRONTEND FRAMEWORKS
→ React (components, props, state)
→ Routing and SPA fundamentals
→ State management (Context API, Redux, Zustand)
STEP 3: LEARN BACKEND DEVELOPMENT
→ Choose a backend language (Node.js, Python, Go, PHP, Java)
→ Build REST APIs
→ Work with databases (SQL and NoSQL)
→ Authentication, authorization, and security basics
→ Error handling and logging
→ Build real backend services
STEP 4: DATABASES AND STORAGE
RELATIONAL DATABASES
→ SQL queries
→ Tables and relationships
→ Indexing and optimization
NOSQL DATABASES
→ Document stores (MongoDB)
→ Key-value stores
→ Choosing the right database for the use case
STEP 5: API DESIGN AND INTEGRATION
→ REST API principles
→ CRUD operations and endpoints
→ Authentication (JWT, OAuth)
→ API versioning and documentation
→ Integrate third-party APIs
ADVANCED API TOPICS
→ GraphQL basics
→ API caching
→ Webhooks
STEP 6: DEPLOYMENT, DEVOPS, AND CLOUD
→ Understand server environments
→ Learn Linux basics
→ Version-controlled CI/CD pipelines
→ Deploy to cloud providers (AWS, Google Cloud, Azure, Vercel, Render)
→ Environment variables and configurations
→ Logging and monitoring
STEP 7: AI FUNDAMENTALS FOR FULL STACK DEVELOPERS
→ Understand AI and machine learning basics
→ Learn how language models and neural networks work
→ Learn common AI use cases (NLP, image recognition, recommendations)
→ Understand model inference, latency, and cost
STEP 8: AI INTEGRATION IN APPLICATIONS
→ Integrate AI via APIs (OpenAI, Hugging Face, Google AI)
→ Use generative AI for chatbots, content generation, intelligent search
→ Build AI-enhanced features (autocompletion, summarization)
→ Process and manage AI outputs safely
→ Fine-tune models for tasks when needed
STEP 9: BUILD FULL STACK AI PROJECTS
→ AI-powered chat applications
→ Intelligent dashboards with predictive insights
→ Recommendation engines
→ Automated content creators
→ Voice-enabled assistants
→ Real-time data processing applications
STEP 10: TESTING AND QUALITY ASSURANCE
→ Unit testing for frontend and backend
→ Integration testing
→ API testing
→ End-to-end testing
→ Code reviews and CI testing pipelines
STEP 11: SYSTEM DESIGN FOR SCALE
→ Learn scalable architecture patterns
→ Load balancing and caching strategies
→ Microservices vs monolithic systems
→ Database sharding and replication
→ Performance optimization
STEP 12: PRACTICE DEPLOYMENT PIPELINES
→ Automated testing integration
→ Continuous deployment
→ Monitoring and alerts
→ Rollback strategies
→ Blue-green deployments
STEP 13: PORTFOLIO AND CAREER PREPARATION
→ Build real projects with professional quality
→ Document your projects with case studies
→ Create a portfolio site
→ Learn collaborative workflows (Jira, Trello, Slack)
→ Prepare for technical interviews
STEP 1: BUILD STRONG FOUNDATIONS
→ Learn how the web works (HTTP, DNS, client-server model)
→ Understand frontend vs backend roles
→ Learn Git and version control basics
→ Master software development fundamentals (variables, loops, conditionals, functions)
STEP 2: LEARN FRONTEND DEVELOPMENT
→ HTML semantics and structure
→ CSS layout techniques (Flexbox, Grid)
→ Responsive design principles
→ JavaScript fundamentals
→ DOM manipulation and event handling
MODERN FRONTEND FRAMEWORKS
→ React (components, props, state)
→ Routing and SPA fundamentals
→ State management (Context API, Redux, Zustand)
STEP 3: LEARN BACKEND DEVELOPMENT
→ Choose a backend language (Node.js, Python, Go, PHP, Java)
→ Build REST APIs
→ Work with databases (SQL and NoSQL)
→ Authentication, authorization, and security basics
→ Error handling and logging
→ Build real backend services
STEP 4: DATABASES AND STORAGE
RELATIONAL DATABASES
→ SQL queries
→ Tables and relationships
→ Indexing and optimization
NOSQL DATABASES
→ Document stores (MongoDB)
→ Key-value stores
→ Choosing the right database for the use case
STEP 5: API DESIGN AND INTEGRATION
→ REST API principles
→ CRUD operations and endpoints
→ Authentication (JWT, OAuth)
→ API versioning and documentation
→ Integrate third-party APIs
ADVANCED API TOPICS
→ GraphQL basics
→ API caching
→ Webhooks
STEP 6: DEPLOYMENT, DEVOPS, AND CLOUD
→ Understand server environments
→ Learn Linux basics
→ Version-controlled CI/CD pipelines
→ Deploy to cloud providers (AWS, Google Cloud, Azure, Vercel, Render)
→ Environment variables and configurations
→ Logging and monitoring
STEP 7: AI FUNDAMENTALS FOR FULL STACK DEVELOPERS
→ Understand AI and machine learning basics
→ Learn how language models and neural networks work
→ Learn common AI use cases (NLP, image recognition, recommendations)
→ Understand model inference, latency, and cost
STEP 8: AI INTEGRATION IN APPLICATIONS
→ Integrate AI via APIs (OpenAI, Hugging Face, Google AI)
→ Use generative AI for chatbots, content generation, intelligent search
→ Build AI-enhanced features (autocompletion, summarization)
→ Process and manage AI outputs safely
→ Fine-tune models for tasks when needed
STEP 9: BUILD FULL STACK AI PROJECTS
→ AI-powered chat applications
→ Intelligent dashboards with predictive insights
→ Recommendation engines
→ Automated content creators
→ Voice-enabled assistants
→ Real-time data processing applications
STEP 10: TESTING AND QUALITY ASSURANCE
→ Unit testing for frontend and backend
→ Integration testing
→ API testing
→ End-to-end testing
→ Code reviews and CI testing pipelines
STEP 11: SYSTEM DESIGN FOR SCALE
→ Learn scalable architecture patterns
→ Load balancing and caching strategies
→ Microservices vs monolithic systems
→ Database sharding and replication
→ Performance optimization
STEP 12: PRACTICE DEPLOYMENT PIPELINES
→ Automated testing integration
→ Continuous deployment
→ Monitoring and alerts
→ Rollback strategies
→ Blue-green deployments
STEP 13: PORTFOLIO AND CAREER PREPARATION
→ Build real projects with professional quality
→ Document your projects with case studies
→ Create a portfolio site
→ Learn collaborative workflows (Jira, Trello, Slack)
→ Prepare for technical interviews
❤13👍5
Forwarded from Immersive Ai
New Video : Ai Engineering Roadmap
ብዙዎች ስራልን ያላችሁት የ Ai Engineer Roadmap...ቪድዮ ተለቋል።
Go check it.... Enjoy and share for others too.
https://youtu.be/gFcqoAhPg5U?si=uSyTr9kVr3tBFIWq
ብዙዎች ስራልን ያላችሁት የ Ai Engineer Roadmap...ቪድዮ ተለቋል።
Go check it.... Enjoy and share for others too.
https://youtu.be/gFcqoAhPg5U?si=uSyTr9kVr3tBFIWq
YouTube
Ai Engineer Roadmap 2025 ( Step by step) I የ Ai ኢንጅነር መሆን ይፈልጋሉ ? #immersiveai #aiengineer #ai
Thinking of becoming an AI Engineer in 2025? This comprehensive roadmap video breaks down everything you need to know, from essential programming languages and machine learning fundamentals to advanced topics like deep learning, MLOps, and natural language…
👍5👎1
Forwarded from Muhammed Teshome
ሰላም ቤተሰቦች!
የ 2026 አንዱ እቅዴ ቲክቶክ መጀመር ነው። እስከዚያው አካውንቴን Join እያደረጋችሁ ጠብቁኝ!
ቲክቶክ ላይ ያላችሁ ደግሞ እስኪ ለ ጀማሪ የሚሆን ምክራችሁን ጀባ በሉን!
በዚያው እንተዋወቃችሁ!
https://www.tiktok.com/@muha_teshome
የ 2026 አንዱ እቅዴ ቲክቶክ መጀመር ነው። እስከዚያው አካውንቴን Join እያደረጋችሁ ጠብቁኝ!
ቲክቶክ ላይ ያላችሁ ደግሞ እስኪ ለ ጀማሪ የሚሆን ምክራችሁን ጀባ በሉን!
በዚያው እንተዋወቃችሁ!
https://www.tiktok.com/@muha_teshome
TikTok
Muhammed T. on TikTok
@muha_teshome 799 Followers, 6151 Following, 534 Likes - Watch awesome short videos created by Muhammed T.
🎉5🌚1
Forwarded from Muhammed Teshome
አሁን 800 ፎሎወር ላይ ነን!
እስኪ ዛሬ 1000 ሙሏት እና ላይቭ ምናምን ላይም እንዲንገናኝ! 😊
ሊንክ ፡ https://www.tiktok.com/@muha_teshome
እስኪ ዛሬ 1000 ሙሏት እና ላይቭ ምናምን ላይም እንዲንገናኝ! 😊
ሊንክ ፡ https://www.tiktok.com/@muha_teshome
👍10🔥5
Yet another year has passed and developers haven’t been replaced by AI.
😁12❤1
Forwarded from Immersive Ai
የቴክኖሎጂ አለም በ2025 ምን ይመስል ነበር? በዚህ አመት የተለቀቁትን ምርጥ የ'AI' ቱሎች እና የቴክኖሎጂ ለውጦች አጠቃላይ መረጃ እነሆ።
በ ቪድዮው የ2025 ምርጥ የAI ውጤቶች እና በቀጣይ አመት ምን አይነት ትሬንዶች አሉ የሚሉት ተዳሰዋል!
Go watch it :
https://youtu.be/IAfKW82bnM4
በ ቪድዮው የ2025 ምርጥ የAI ውጤቶች እና በቀጣይ አመት ምን አይነት ትሬንዶች አሉ የሚሉት ተዳሰዋል!
Go watch it :
https://youtu.be/IAfKW82bnM4
YouTube
የ 2025 የ ኤአይ ሙሉ ዳሰሳ | AI in 2025: The Complete Summary #ai2025 #ai #artificialintelligence
2025 was a crazy year for Artificial Intelligence! From new tools to massive changes in the job market, catch up on everything you missed in this video.
በዚህ ቪዲዮ በ2025 ዓ.ም በአርቲፊሻል ኢንተለጀንስ (AI) ዙሪያ የተፈጠሩ አዳዲስ እና አስደናቂ ለውጦችን በዝርዝር እንመለከታለን።
In this video…
በዚህ ቪዲዮ በ2025 ዓ.ም በአርቲፊሻል ኢንተለጀንስ (AI) ዙሪያ የተፈጠሩ አዳዲስ እና አስደናቂ ለውጦችን በዝርዝር እንመለከታለን።
In this video…
❤8👎1
Forwarded from Muhammed Teshome
የኔ የ 2025 ምርጥ የ Ai ቱሎች ፡
Models :
- Coding : Claude Opus 4.5
- Normal chat : GPT 5.2
- Amharic Things : Gemini 3 pro
- Image gen : Grok Imagine
- Image edit : Nano Banana pro
- Research : Kimi 2.0
Special Tools :
- Education and reading : NotebookLM
- Vibe Coding : Cursor/ Ai Studio / antigravity
- Search : Google Ai mode
- Design : Canva
- Editing : Capcut
Agent:
- general agent : Manus
- Coding agent : z. ai(swe)
-
Audio/Song :
- Suno
-11 labs
እስኪ የናንተን ኮሚንት ላይ
Models :
- Coding : Claude Opus 4.5
- Normal chat : GPT 5.2
- Amharic Things : Gemini 3 pro
- Image gen : Grok Imagine
- Image edit : Nano Banana pro
- Research : Kimi 2.0
Special Tools :
- Education and reading : NotebookLM
- Vibe Coding : Cursor/ Ai Studio / antigravity
- Search : Google Ai mode
- Design : Canva
- Editing : Capcut
Agent:
- general agent : Manus
- Coding agent : z. ai(swe)
-
Audio/Song :
- Suno
-11 labs
እስኪ የናንተን ኮሚንት ላይ
❤21👎1