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기술
This comprehensive app is designed for both beginners and working professionals who want to learn practical, industry-ready Python skills, master ETL pipelines, and build real machine learning and MLOps systems.
From the very basics of Python programming to advanced concepts such as Asynchronous Programming, API Development, Machine Learning Model Deployment, Cloud Integration, and MLOps Pipelines — you will learn step-by-step with real projects.
What You Will Learn:
Python Programming:
Variables, Data Types, Control Flow, Loops, and Functions
Object-Oriented Programming (OOP) in Python
File Handling, Error Handling, Modules, and Packages
Asynchronous Programming (asyncio, concurrency, parallelism)
API Development Basics (FastAPI / Flask)
Python for ETL and Data Engineering:
Data Handling and Ingestion (CSV, JSON, APIs, Databases)
Building ETL Pipelines using Python and Apache Airflow
Data Validation, Data Quality Checks, and Transformation
Scheduling Workflows, Triggers, SLA Monitoring
Real-World Automation using Python in Cloud and Big Data
Machine Learning and Python ML Libraries:
Machine Learning Fundamentals: Supervised and Unsupervised Learning
Deep Learning Basics using TensorFlow and Keras
ML Libraries Mastery: Numpy, Pandas, Scikit-learn, TensorFlow, PySpark
Image Data Processing using Pillow, Albumentations, Torchvision
MLOps and Deployment:
Introduction to MLOps Pipelines
Model Training, Model Registry, and Model Monitoring
CI/CD Pipelines for Machine Learning Projects
Tools: MLflow, DVC, Seldon Core, KServe
Cloud Deployments: AWS, GCP, Kubernetes
Cloud and Real Deployment Projects:
Deploy ETL Pipelines using AWS MWAA (Managed Airflow)
Build Machine Learning APIs and Deploy on AWS Lambda / EC2
Set up Kubernetes Clusters for Model Serving
Infrastructure as Code using Terraform for Airflow and ML Pipelines
GitHub Actions for CI/CD Automation with Airflow and Python Projects
App Features:
Structured Learning Path covering Python, ML, ETL, and MLOps
1000+ Flashcards for instant revision and memory retention
500+ Practice Quizzes to test your skills and exam readiness
Mini Projects and Full Real-World End-to-End Projects
Offline Content Access (Coming Soon)
Track Progress and unlock achievements as you learn
Certification on course completion for resume boost
Smart Learning Pathways to match your career goals: Data Engineer, ML Engineer, MLOps Specialist
Who Should Use This App:
Beginners who want to learn Python and build real skills
Data Analysts who want to upgrade to Data Engineering
Machine Learning Enthusiasts wanting a structured Python + ML path
Backend Developers aiming to enter Data Engineering/MLOps
Professionals looking to master Airflow, ETL, ML Pipelines, and Cloud Deployment
Why This App is Different:
Not just theory — learn through real deployments and production-level projects
Complete stack from Python basics to MLOps with Kubernetes and AWS/GCP
Updated regularly with new projects, tools, cloud trends, and industrial workflows
Build a real-world-ready portfolio of projects
Perfectly designed to take a beginner to a job-ready level
Focus on practical coding, real ETL pipelines, real ML deployment
Start Your Journey:
Python is the key to unlocking careers in AI, Data Science, Data Engineering, and Cloud Automation.
With this app, you are not just learning Python —
You are mastering how Python runs real-world companies in their data, AI, and cloud systems.
Download now and begin your journey toward becoming a Data Engineer, Machine Learning Engineer, or MLOps Specialist.
Build real skills. Build real systems. Build your future.
새로운 기능
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- 최대: $12.99
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