$1.2M
Top Python Dev Salary (US)
Upper-end compensation in high-demand markets
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Learn modern Python with data structures, OOP, API & file automation, testing, data analysis, and deployment. Build portfolio-ready projects, earn a QR-verified certificate, and get placement support with interview prep.
Topics include problem solving, environments, REST APIs, pandas, SQL, unit tests, and shipping small apps.
See why Python leads in careers, salaries, and developer satisfaction.
Upper-end compensation in high-demand markets
Across startups, FAANG, and enterprises
Developer surveys & community reports
From automation & APIs to data science & AI, Python’s ecosystem unlocks multiple high-growth career paths with strong hiring demand.
An 80-hour, mentor-led, project-driven Python program that blends AI & Data Science, Web APIs, and Automation to make you job-ready.
NumPy, Pandas, Matplotlib, scikit-learn, prompt engineering
Job-Ready SkillsFastAPI / Django APIs, authentication, deployment, Docker
Job-Ready SkillsETL, file ops, schedulers, CLI tools, Selenium basics
Job-Ready SkillsOOP, testing (pytest), Git/GitHub, CI/CD fundamentals
Job-Ready SkillsGraduate with a QR-verified certificate, a portfolio of production-like projects, and interview prep that highlights problem-solving, testing, and clean code.
A carefully sequenced, project-driven roadmap from basics to deployment — built for job-ready outcomes.
Write clean, efficient Python code from scratch.
Master lists, dicts, OOP, and DSA in Python.
Build full-stack web apps with Django & REST.
Analyze real-world datasets and generate insights.
Train and evaluate ML models end-to-end.
Automate repetitive tasks and workflows.
Extract, clean, and persist data from APIs & websites.
Integrate Python with MySQL/PostgreSQL securely.
Containerize & deploy apps (Docker, CI/CD).
Build 3 industry-grade projects employers value.
Includes topics, outcomes, tools, and project checklist.
Build a job-winning portfolio: production-style architecture, clean code, measurable outcomes and clear documentation.
Payments, carts, auth, admin—deployed & scalable.
Time-series features, model evaluation & reporting.
Templated campaigns with attachments & logging.
Robust scraping with rate-limit & dedupe guards.
Intent detection, entity extraction & REST API.
Interactive KPIs, filters, and exportable insights.
Media pipeline, caption templates & scheduler.
Accounts, transactions, audits & test coverage.
Every project ships with README, tests, and deployment notes.
Read verified student testimonials from our industry-aligned Python Programming program. Projects cover NumPy, Pandas, APIs (FastAPI), testing, and deployment — everything you need to become job-ready.
Data Analyst (Pandas/Excel to Python)
“The curriculum focuses on practical data tasks: cleaning, analysis, and dashboards. Switching from Excel to Python felt natural thanks to the structured exercises.”
Backend Developer (FastAPI)
“Loved the hands-on approach. From functions to APIs and testing, every concept had a real project. The mentor feedback loop was fast and actionable.”
ML Engineer (scikit-learn)
“Crystal-clear explanations of OOP, NumPy broadcasting, and model evaluation. The capstone on feature engineering helped me ace my interviews.”
Automation Specialist (Selenium + Python)
“Concise lessons, sharp challenges, and a supportive community. I automated repetitive QA flows in week two and cut manual hours to near zero.”
Data Analyst (Pandas/Excel to Python)
“The curriculum focuses on practical data tasks: cleaning, analysis, and dashboards. Switching from Excel to Python felt natural thanks to the structured exercises.”
Backend Developer (FastAPI)
“Loved the hands-on approach. From functions to APIs and testing, every concept had a real project. The mentor feedback loop was fast and actionable.”
ML Engineer (scikit-learn)
“Crystal-clear explanations of OOP, NumPy broadcasting, and model evaluation. The capstone on feature engineering helped me ace my interviews.”
Automation Specialist (Selenium + Python)
“Concise lessons, sharp challenges, and a supportive community. I automated repetitive QA flows in week two and cut manual hours to near zero.”
Roles you can land across Data Science, Machine Learning, Backend, Automation, and DevOps. Build an ATS-friendly portfolio recruiters love.
Learn from anywhere. If you want to be the best, CDPL is your place.
A perfect fit whether you’re starting from scratch or upskilling for Backend, Data, Automation, and DevOps roles. Learn clean code, testing, Git, and deployment best practices.
Start from zero and build job-ready Python skills: syntax, OOP, APIs, SQL, and projects.
Includes guided pathways, quizzes, and review on your mini-projects.
Move from non-tech roles to high-growth Python careers in Backend, Data, or Automation.
Includes guided pathways, quizzes, and review on your mini-projects.
Prototype MVPs faster, automate operations, and turn ideas into deployable products.
Includes guided pathways, quizzes, and review on your mini-projects.
Enter Data Science & ML with Pandas, NumPy, scikit-learn, and clean experimentation.
Includes guided pathways, quizzes, and review on your mini-projects.
From writing your first Python script to deploying production-ready apps, this program helps you develop real skills that companies hire for—clean code, testing, Git/GitHub, and cloud deployment.
Learn a modern developer & data stack used in real teams — from notebooks and frameworks to version control and cloud.
Covers install, real-world use cases, and integration with the rest of the stack.
Covers install, real-world use cases, and integration with the rest of the stack.
Covers install, real-world use cases, and integration with the rest of the stack.
Covers install, real-world use cases, and integration with the rest of the stack.
Covers install, real-world use cases, and integration with the rest of the stack.
Covers install, real-world use cases, and integration with the rest of the stack.
Covers install, real-world use cases, and integration with the rest of the stack.
Covers install, real-world use cases, and integration with the rest of the stack.
Covers install, real-world use cases, and integration with the rest of the stack.
From Jupyter notebooks to Django APIs, Pandas/NumPy pipelines and AWS deployments, you’ll learn how these tools connect to ship reliable, scalable software.
Follow these 4 proven steps to move from learner to job-ready Python professional with a portfolio recruiters trust.
Master Python syntax, OOP, data structures, web (Django), data analysis, ML basics, automation, APIs, and deployments.
Ship an e-commerce app, a data dashboard, and an automation/ML project. Host on GitHub + cloud with readme docs.
Resume revamp, ATS keywords, DSA warm-ups, system design for backend, and domain interview drills.
Target roles like Python Developer, Data Analyst, ML Engineer, Backend Developer, or Automation Engineer (₹6–15 LPA).
Learn from anywhere. Your journey to a Python career starts here.
Everything you need to know about the program — live classes, certification, portfolio, and placements.
Still have questions? Talk to a program advisor for a personalized walkthrough.
Enroll now in the 80-hour, mentor-led program with 100% placement assistance, portfolio projects, and a QR-verified certificate.
Mira Road & Vasai, Maharashtra • Weekday/Weekend batches • Hybrid learning available
