Python Programming
Python is the most versatile language in tech today. This course covers everything from core Python fundamentals to building automation scripts, full-stack web applications with Django/FastAPI, data analysis with Pandas, and AI/ML models - all the way to Generative AI integration.
Curriculum
What you'll learn
- Python Core to Advance - fundamentals, data types, OOP, exception handling, file handling, multi-threading.
- Python Libraries - PyWhatKit, PyAutoGUI, Requests, OS, Time, Pandas, Selenium, OpenCV, Tkinter and more.
- Frontend Technologies - HTML, CSS, JavaScript, Bootstrap, Tailwind CSS.
- Backend Frameworks - Django, Flask, FastAPI for building powerful web applications.
- Databases - MongoDB (NoSQL) and SQL (relational) for data storage and management.
- Machine Learning - supervised & unsupervised learning, classification, regression, model evaluation, ML algorithms and real-world ML projects.
- Generative AI - Prompt Engineering, LLM Basics, OpenAI API integration, text/image generation, chatbot development.
- Professional Tools - Git & GitHub, VS Code, Postman, API Testing, Server Hosting.
Beyond Coding
More than just code
- Build real automation tools for tasks
- Work with public APIs and open datasets
- Project-based learning with portfolio output
- Interview prep for Python developer roles
- 500+ interview labs for practice
- Interview guidance and support
- 30+ Projects for portfolio
Pricing
Course Details & Fees
Syllabus
Python Programming - Course Breakdown
Learning Path
Python Programming Roadmap
Python Fundamentals
Learn syntax, variables, loops, and functions using Python. Build a strong programming foundation.
Advanced Python & OOP
Master object-oriented programming, decorators, generators, and write clean scalable code.
Automation & Scripting
Build real automation tools using file handling, OS modules, and CLI scripting.
Web Scraping & APIs
Extract and process real-world data using BeautifulSoup, Selenium, Requests, and REST APIs.
Data Analysis & Visualization
Work with Pandas, NumPy, and visualize insights using Matplotlib, Seaborn, and Plotly.
Backend Development
Build scalable web applications using Flask/FastAPI, databases, and authentication systems.
Machine Learning
Train and evaluate models using Scikit-learn and understand real-world ML workflows.
Generative AI
Integrate AI into applications using OpenAI APIs, LangChain, and prompt engineering.
Deployment & DevOps
Deploy applications using Docker, CI/CD pipelines, and cloud platforms.
Real-world Projects
Build portfolio-ready projects including SaaS tools, automation systems, and AI apps.
Career & Interview Prep
Prepare for jobs with resume building, GitHub portfolio, and technical interview guidance.
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