What you will learn in Microsoft Python Development Professional Certificate Course
- Master Python programming fundamentals and advanced concepts
- Develop applications using Python for data analysis and web development
- Build and deploy cloud-based solutions with Microsoft Azure
- Implement DevOps practices for Python applications
- Create RESTful APIs using Python frameworks
- Work with databases using Python libraries
- Complete real-world projects showcasing Python skills
Program Overview
Python Programming Fundamentals
⏱️4-6 weeks
- Python syntax and data structures
- Object-oriented programming in Python
- Error handling and debugging
Python for Web Development
⏱️ 6-8 weeks
- Building web apps with Django/Flask
- Front-end integration (HTML/CSS/JS)
- API development with FastAPI
Python for Data Solutions
⏱️ 6-8 weeks
- Data analysis with Pandas/NumPy
- Data visualization with Matplotlib/Seaborn
- Machine learning basics with scikit-learn
Azure Cloud Integration
⏱️ 6-8 weeks
- Deploying Python apps to Azure
- Serverless computing with Azure Functions
- AI/ML services with Azure Cognitive Services
DevOps for Python
⏱️4-6 weeks
- CI/CD pipelines for Python
- Testing and quality assurance
- Containerization with Docker
DevOps for Python
⏱️8-10 weeks
- End-to-end Python application
- Azure deployment
- Performance optimization
Get certificate
Job Outlook
- Salary range: 80K−130K for Python developers
- Industry demand: Python skills required in 75% of developer jobs
- Top employers: Microsoft partners, tech firms, enterprises
- Career paths: Python Developer → Data Engineer → Cloud Architect
- Certification value: Pathway to Microsoft Certified: Azure Developer Associate
Specification: Microsoft Python Development Professional Certificate
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FAQs
Yes, this is a beginner-friendly program designed for individuals with no prior programming experience.
- The certificate covers:
- Python programming fundamentals and advanced concepts
- Web development using frameworks like Django and Flask
- Data analysis with libraries such as Pandas and NumPy
- Machine learning basics with scikit-learn
- Cloud deployment using Microsoft Azure
- DevOps practices including CI/CD pipelines and containerization with Docker
The program is designed to be completed in 4 months at a pace of 8 hours per week.
- Yes, the certificate includes:
- Capstone project: Develop a complete Python application
- Portfolio-ready projects: Showcase your skills to potential employers
- Real-world applications: Apply concepts to practical scenarios
- The certificate is recognized by employers and provides:
- Industry-relevant skills: Learn technologies in demand
- Career pathways: Opportunities in Python development, data engineering, and cloud architecture
- Microsoft branding: Leverage a reputable name in tech
