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🚞 Software 🚂 Engineering 🚃 with the 🚅 Power of 🚋 Machine 🚁 Learning đŸ›ŗ AI Adaptive ✈ systems 🛩 smart 🚀 refactoring đŸšĸ self-healing 🛸Test case 🚟 generation ⏰ bug ☂ prediction ⛱ and auto đŸ›Ŧ remediation 🚝 Embedding 🕌 AI into 🏚 user 🏭 facing 🎠 systems 🚒

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Software Engineering with Machine Learning – āĻāχ āĻ•ā§āϝāĻžāϰāĻŋ⧟āĻžāϰ āĻŸā§āϰāĻžāĻ•āϟāĻž āϝ⧇ āĻĻāĻŋāύ āĻĻāĻŋāύ āĻāϤ āϜāύāĻĒā§āϰāĻŋ⧟ āĻšāĻšā§āϛ⧇ āϤāĻž āĻŦāϞāĻžāϰ āĻŦāĻžāχāϰ⧇āĨ¤ LinkedIn āϝāϤ āĻŽā§‡āĻļāĻŋāύ āϞāĻžāĻ°ā§āύāĻŋāĻ‚ āϰāĻŋāϞ⧇āĻŸā§‡āĻĄ āϜāĻŦ āĻĻ⧇āĻ–āĻŦ⧇āύ āϤāĻžāϰ āĻŦ⧜ āĻ…āĻ‚āĻļ āĻšāϞ⧋ āϏāĻĢāϟāĻ“āϝāĻŧā§āϝāĻžāϰ āχāĻ¨ā§āϜāĻŋāύāĻŋāϝāĻŧāĻžāϰāĻŋāĻ‚ āĻāϰ āϏāĻžāĻĨ⧇ āĻŽā§‡āĻļāĻŋāύ āϞāĻžāĻ°ā§āύāĻŋāĻ‚, āĻ•āĻŋāϛ⧁ āϜāĻžā§ŸāĻ—āĻžā§Ÿ āϏāϰāĻžāϏāϰāĻŋ āϞ⧇āĻ–āĻž āĻĨāĻžāϕ⧇ API Development āĻ¸ā§āĻ•āĻŋāϞ⧇āϰ āϏāĻžāĻĨ⧇ āĻŽā§‡āĻļāĻŋāύ āϞāĻžāĻ°ā§āύāĻŋāĻ‚ must! āϤāĻžāϰāĻĒāϰ⧇ Software Engineering with AI Agent.

āϤāĻžāϰāĻŽāĻžāύ⧇ āĻšāϞ⧋ āĻāĻ–āύ Machine Learning āĻļ⧁āϧ⧁ āĻāĻ•āϜāĻžā§ŸāĻ—āĻžā§Ÿ āϏ⧀āĻŽāĻžāĻŦāĻĻā§āϧ āύāĻžāχāĨ¤ āĻŦāĻŋāĻ­āĻŋāĻ¨ā§āύ āϰāĻ•āĻŽ āϜāĻŦ āĻĢāĻŋāĻ˛ā§āĻĄā§‡āϰ āĻāĻ•āϟāĻžāĻž āĻ•āĻŽāύ āĻ¸ā§āĻ•āĻŋāϞ āĻšāϞ⧋ āĻŽā§‡āĻļāĻŋāύ āϞāĻžāĻ°ā§āύāĻŋāĻ‚āĨ¤


🔴 Software Engineering with Machine Learning = Software Engineering Skills + Machine Learning & Deep Learning Skills


āϛ⧋āϟ āĻ•āϰ⧇ āĻāĻ•āϟāĻž āϰ⧋āĻĄāĻŽā§āϝāĻžāĻĒ āĻĻā§‡ā§ŸāĻžāϰ āĻšā§‡āĻ¸ā§āϟāĻž āĻ•āϰāĻŦā§‹āĨ¤ āϝāĻĻāĻŋ āĻ•āĻžāϰāĻ“ āωāĻĒāĻ•āĻžāϰ āĻšā§Ÿ 🙂

ā§§āĨ¤ āĻāχ āĻŸā§āĻ°ā§āϝāĻžāϕ⧇ āφāϏāϤ⧇ āĻšāϞ⧇ āĻĒā§āϰāĻĨāĻŽā§‡āχ āĻĻāϰāĻ•āĻžāϰ āĻļāĻ•ā§āϤ Python āĻŦā§āϝāĻžāĻ•āĻ—ā§āϰāĻžāωāĻ¨ā§āĻĄāĨ¤ Functions, OOP, error handling, āĻāĻŦāĻ‚ data structures (list, dict, set, tuple) āĻ­āĻžāϞ⧋āĻ­āĻžāĻŦ⧇ āĻŦ⧁āĻā§‡ āύāĻŋāϤ⧇ āĻšāĻŦ⧇āĨ¤ āĻāϰāĻĒāϰ āĻĒā§āĻ°ā§Ÿā§‹āϜāύ āĻ“ā§Ÿā§‡āĻŦ āĻĄā§‡āϭ⧇āϞāĻĒāĻŽā§‡āĻ¨ā§āϟ āĻ¸ā§āĻ•āĻŋāϞ, āĻŦāĻŋāĻļ⧇āώ āĻ•āϰ⧇ Django āĻŦāĻž FastAPI āĻļ⧇āĻ–āĻž, āϝ⧇āϗ⧁āϞ⧋āϰ āĻŽāĻžāĻ§ā§āϝāĻŽā§‡ API āϤ⧈āϰāĻŋ āĻ•āϰāĻž āϝāĻžā§ŸāĨ¤ Django-āϤ⧇ views, models, templates āĻāĻŦāĻ‚ REST API development (DRF) āĻļ⧇āĻ–āĻžāϰ āĻĒāĻžāĻļāĻžāĻĒāĻžāĻļāĻŋ Authentication, Permissions āφāϰ ORM āĻ­āĻžāϞ⧋āĻ­āĻžāĻŦ⧇ āĻ†ā§ŸāĻ¤ā§āϤ⧇ āφāύāϤ⧇ āĻšāĻŦ⧇ āĻ…āĻŦāĻļā§āϝāχāĨ¤

⧍āĨ¤ Git āĻāĻŦāĻ‚ Docker āĻšāϞ⧋ āϏāĻĢāϟāĻ“ā§Ÿā§āϝāĻžāϰ āχāĻžā§āϜāĻŋāύāĻŋ⧟āĻžāϰ⧇āϰ āĻ…āĻ¨ā§āϝāϤāĻŽ āĻšāĻžāϤāĻŋ⧟āĻžāϰāĨ¤ Git āĻĻāĻŋā§Ÿā§‡ version control, Docker āĻĻāĻŋā§Ÿā§‡ āĻ…ā§āϝāĻžāĻĒ āĻ•āύāĻŸā§‡āχāύāĻžāϰāĻžāχāϜ āĻāĻŦāĻ‚ GitHub Actions-āĻāϰ āĻŽāĻžāĻ§ā§āϝāĻŽā§‡ basic CI/CD pipeline āϤ⧈āϰāĻŋāϰ āĻ…āĻ­ā§āϝāĻžāϏ āĻ—ā§œā§‡ āϤ⧁āϞāϤ⧇ āĻšā§ŸāĨ¤ āĻāχ āĻ¸ā§āĻ•āĻŋāϞāϗ⧁āϞ⧋ āĻ›āĻžā§œāĻž production-level āϕ⧋āĻĄ āĻŽā§‡āχāύāĻŸā§‡āχāύ āĻ•āϰāĻž āĻ•āĻˇā§āϟāĻ•āϰāĨ¤ āĻ“āϕ⧇?

ā§ŠāĨ¤ āĻāϰāĻĒāϰ āφāϏāϞ⧇āχ āφāϏ⧇ Machine Learning āĻāϰ āϜāĻžā§ŸāĻ—āĻžāĨ¤ scikit-learn āĻĻāĻŋā§Ÿā§‡ classification, regression āĻāϰ āĻŽāϤ basic āĻŽāĻĄā§‡āϞ āϤ⧈āϰāĻŋ āĻ•āϰāĻž, pandas āĻ“ numpy āĻĻāĻŋā§Ÿā§‡ āĻĄā§‡āϟāĻž āĻĒā§āϰāĻŋāĻĒā§āϰāϏ⧇āϏāĻŋāĻ‚, TensorFlow, pytorch āĻĻāĻŋā§Ÿā§‡ āĻĄā§€āĻĒ āϞāĻžāĻ°ā§āύāĻŋāĻ‚/āĻœā§‡āύāĻžāϰ⧇āϟāĻŋāĻ­ āĻāφāχ āĻāĻŦāĻ‚ āĻŽāĻĄā§‡āϞ pickle āĻŦāĻž joblib āĻĻāĻŋā§Ÿā§‡ save/load āĻ•āϰāĻžāϰ āĻ¸ā§āĻ•āĻŋāϞ āĻĻāϰāĻ•āĻžāϰ āĻšā§ŸāĨ¤ āĻ•āĻŋāĻ¨ā§āϤ⧁ āϏāĻŦāĻšā§‡ā§Ÿā§‡ āϗ⧁āϰ⧁āĻ¤ā§āĻŦāĻĒā§‚āĻ°ā§āĻŖ āĻ…āĻ‚āĻļ āĻšāϞ⧋, āĻāχ āĻŽāĻĄā§‡āϞāϗ⧁āϞ⧋āϕ⧇ Django āĻŦāĻž FastAPI API-āϤ⧇ serve āĻ•āϰāĻž, āĻŽāĻžāύ⧇ āχāωāϜāĻžāϰ āϝāĻ–āύ āχāύāĻĒ⧁āϟ āĻĻā§‡ā§Ÿ, āϤāĻ–āύ āĻŦā§āϝāĻžāĻ•āĻāĻ¨ā§āĻĄ āϏ⧇āχ āĻŽāĻĄā§‡āϞ āĻĻāĻŋā§Ÿā§‡ output āϤ⧈āϰāĻŋ āĻ•āϰ⧇ āĻĒāĻžāĻ āĻžā§ŸāĨ¤ Machine Required Skills

ā§ĒāĨ¤ āĻāχ āĻ•āĻžāĻœā§‡āϰ āϏāĻŽā§Ÿ API performance āύāĻŋā§Ÿā§‡ āĻ­āĻžāĻŦāϤ⧇ āĻšā§ŸāĨ¤ āϝ⧇āĻŽāύ latency āĻ•āĻŽāĻžāύ⧋, invalid āχāύāĻĒ⧁āϟ āĻšā§āϝāĻžāĻ¨ā§āĻĄā§‡āϞ āĻ•āϰāĻž, āĻāĻŦāĻ‚ āύāĻŋāϰāĻžāĻĒāĻĻ API āĻŦāĻžāύāĻžāύ⧋āϰ āϜāĻ¨ā§āϝ token-based authentication āĻŦāĻž rate limiting āĻŦā§āϝāĻŦāĻšāĻžāϰ⧇āϰ āĻĒā§āĻ°ā§Ÿā§‹āϜāύ āĻšā§ŸāĨ¤

ā§ĢāĨ¤ āĻĄāĻžāϟāĻžāĻŦ⧇āχāĻœā§‡āϰ āĻĻāĻŋāĻ• āĻĨ⧇āϕ⧇āĻ“ āĻĒā§āϰāĻ¸ā§āϤ⧁āϤ āĻĨāĻžāĻ•āϤ⧇ āĻšā§ŸāĨ¤ āϏāĻžāϧāĻžāϰāĻŖāϤ PostgreSQL āĻŦāĻž MongoDB āĻŦ⧇āĻļāĻŋ āĻŦā§āϝāĻŦāĻšā§ƒāϤ āĻšā§ŸāĨ¤ PostgreSQL āĻŦ⧇āĻļāĻŋ āϰāĻŋāϞāĻžā§Ÿā§‡āĻŦāϞ relational āĻ•āĻžāĻœā§‡āϰ āϜāĻ¨ā§āϝ, āφāϰ MongoDB āĻ•āĻžāϜ āĻĻā§‡ā§Ÿ āϝāĻ–āύ āĻĄā§‡āϟāĻž structure āĻāĻ•āϟ⧁ dynamic āĻšā§ŸāĨ¤ Django ORM āĻĻāĻŋā§Ÿā§‡ PostgreSQL āĻŦā§āϝāĻŦāĻšāĻžāϰ⧇ āϏ⧁āĻŦāĻŋāϧāĻž āĻšā§Ÿ, āĻāĻŦāĻ‚ FastAPI + MongoDB āĻāĻ•āϟāĻž modern stack āĻšāĻŋāϏ⧇āĻŦ⧇ āĻ•āĻžāϜ āĻ•āϰ⧇āĨ¤

ā§ŦāĨ¤ Deployment-āĻāϰ āϏāĻŽā§Ÿ Docker āĻĻāĻŋā§Ÿā§‡ āĻ…ā§āϝāĻžāĻĒ āĻ•āύāĻŸā§‡āχāύāĻžāϰāĻžāχāϜ āĻ•āϰ⧇ Render, Railway āĻŦāĻž AWS-āĻāϰ āĻŽāϤ āϏāĻžāĻ°ā§āĻ­āĻžāϰ⧇ āφāĻĒāϞ⧋āĻĄ āĻ•āϰāϤ⧇ āĻšā§ŸāĨ¤ āϏ⧇āĻ–āĻžāύ⧇āĻ“ ML āĻŽāĻĄā§‡āϞ⧇āϰ compatibility, scaleability āĻāĻŦāĻ‚ logging āĻĻ⧇āĻ–āϤ⧇ āĻšā§ŸāĨ¤ āϚāĻžāχāϞ⧇ Redis āĻŦāĻž Celery āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āϰ⧇ async background task āĻĒā§āϰāϏ⧇āϏ āĻ•āϰāĻžāĻ“ āϏāĻŽā§āĻ­āĻŦāĨ¤

āĻāχ āĻŸā§āĻ°ā§āϝāĻžāĻ• āĻĢāϞ⧋ āĻ•āϰāϞ⧇ āφāĻĒāύāĻŋ āϚāĻžāχāϞ⧇ SaaS āĻ…ā§āϝāĻžāĻĒ āϤ⧈āϰāĻŋ āĻ•āϰāϤ⧇ āĻĒāĻžāϰ⧋ āϝ⧇āĻ–āĻžāύ⧇ āĻŽā§‡āĻļāĻŋāύ āϞāĻžāĻ°ā§āύāĻŋāĻ‚ āĻ•āĻžāϜ āĻ•āϰ⧇ behind-the-scenesāĨ¤ āφāϰ āĻāϰ demand āĻāĻ–āύ āĻ•ā§āϰāĻŽā§‡āχ āĻŦāĻžā§œāĻ›ā§‡â€”both freelancing and job market-āĻāĨ¤


āϰ⧋āĻĄāĻŽā§āϝāĻžāĻĒ āĻāĻ• āύāϜāϰ⧇:

1. Python Proficiency

  • Basic, Loops, Functions, OOP (Object-Oriented Programming)
  • Data Structures: list, dict, set, tuple
  • Error Handling

2. Web Development

  • Frameworks: Django or FastAPI
  • REST API Development (DRF for Django)
  • Authentication, Permissions, ORM

3. Dev Tools

  • Git for Version Control
  • Docker for Containerization
  • GitHub Actions for Basic CI/CD Pipelines

4. Machine Learning & Deep Learning

  • Statistics & Linear Algebra for Machine Learning & Deep Learning
  • Libraries: scikit-learn, pandas, numpy
  • DL Frameworks: TensorFlow, PyTorch
  • Save/Load Models: pickle, joblib, .h5
  • Serve models through Django/FastAPI APIs

5. API Performance & Security

  • Minimize Latency
  • Handle Invalid Inputs Gracefully
  • Token-Based Authentication
  • Rate Limiting

6. Database Knowledge

  • Relational: PostgreSQL (best with Django ORM)
  • NoSQL: MongoDB (modern choice with FastAPI)
  • ORM Integration and Optimization

7. Deployment & Scalability

  • Dockerized App Deployment (Render, Railway, AWS)
  • Background Tasks with Redis & Celery
  • Model compatibility, scalability, and logging

āĻ•āĻŋāĻ­āĻžāĻŦ⧇ āĻļāĻŋāĻ–āĻŦ?

Software Engineering āĻāϰ āĻĒāĻžāĻ°ā§āϟāϟ⧁āĻ•āϰ āϜāĻ¨ā§āϝ aiquest āĻāϰ Backend API Development with Python āϕ⧋āĻ°ā§āϏāϟāĻŋ āĻĢāϞ⧋ āĻ•āϰāϤ⧇ āĻĒāĻžāϰ⧇āύāĨ¤

āĻŽā§‡āĻļāĻŋāύ āϞāĻžāĻ°ā§āύāĻŋāĻ‚ āĻ“ āĻĄā§€āĻĒ āϞāĻžāĻ°ā§āύāĻŋāĻ‚ āϏāĻš āϏāĻ•āϞ āϕ⧋āĻ°ā§āϏ www.aiquest.org/courses āĻ“ā§Ÿā§‡āĻŦāϏāĻžāχāĻŸā§‡āχ āĻĒāĻžāĻŦ⧇āύāĨ¤


āĻ­āĻžāϞ⧋ āϞāĻžāĻ—āϞ⧇ āĻļā§‡ā§ŸāĻžāϰ āĻ•āϰāĻŦ⧇āύāĨ¤ āϧāĻ¨ā§āϝāĻŦāĻžāĻĻāĨ¤

āĻļ⧁āϧ⧁ āĻĒāϰāĻŋāĻļā§āϰāĻŽ āĻ•āϰāϞ⧇āχ āϝāĻĻāĻŋ āϏāĻĢāϞ āĻšāĻ“ā§ŸāĻž āϝ⧇āϤ, āϤāĻžāĻšāϞ⧇ āĻŦāύ⧇āϰ āϰāĻžāϜāĻž āĻšāϤ⧋ āĻ—āĻžāϧāĻž āϤāĻžāχ āĻ¸ā§āĻŽāĻžāĻ°ā§āϟāϞāĻŋ āĻĒāϰāĻŋāĻļā§āϰāĻŽ āĻ•āϰ⧁āύāĨ¤

#softwareengineering

#machinelearning

#aiquest

#studymart


About the Author

Hazrat Ali

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🚞 Software 🚂 Engineering 🚃 with the 🚅 Power of 🚋 Machine 🚁 Learning đŸ›ŗ AI Adaptive ✈ systems 🛩 smart 🚀 refactoring đŸšĸ self-healing 🛸Test case 🚟 generation ⏰ bug ☂ prediction ⛱ and auto đŸ›Ŧ remediation 🚝 Embedding 🕌 AI into 🏚 user 🏭 facing 🎠 systems 🚒

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