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Python Programming, AI & Data Science

Master Python, Pandas, NumPy, Machine Learning algorithms, and Deep Learning with TensorFlow.

Duration: 5 Months
Mode: Classroom & Online Live
4.9 • (1,650+ Reviews)
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Key Highlights of Python Programming, AI & Data Science

Launch your high-paying career in Artificial Intelligence and Data Science. From raw data wrangling and exploratory visual analytics to training predictive machine learning models and deploying neural networks.

Python programming from fundamentals to OOP and packages

Write maintainable Python with functions, classes and reusable packages.

Data analysis with Pandas, NumPy, Matplotlib & Seaborn

Clean, explore and visualize data with Pandas, NumPy and plotting tools.

Machine Learning: Regression, Classification, Clustering & NLP

Train foundational regression, classification, clustering and NLP models.

Deep Learning & Computer Vision with PyTorch & TensorFlow

Evaluate models and tune parameters with validation workflows.

Live Capstone: Predictive churn analysis, stock forecast, image classification

Build a capstone from a data question through testing and presentation.

100% Placement Support with Tech & FinTech Companies

Prepare project work for Python, analytics and entry-level ML applications.

Detailed Syllabus & Learning Roadmap

A step-by-step curriculum designed by top agency leaders and corporate technology mentors.

Module 1: Python Core & Advanced Programming

Part 1

Syntax, data structures, OOP principles, file I/O, regex, and exception handling.

Module 2: Data Wrangling & Exploratory Analysis

Part 2

NumPy arrays, Pandas DataFrames, handling missing data, and statistical visualization.

Module 3: Machine Learning Algorithms

Part 3

Linear/Logistic regression, Decision Trees, Random Forests, SVM, and K-Means.

Module 4: Model Evaluation & Hyperparameter Tuning

Part 4

Cross-validation, confusion matrices, ROC-AUC curves, and GridSearchCV.

Module 5: Generative AI & Large Language Models

Part 5

HuggingFace transformers, LangChain basics, embeddings, and prompt tuning.

Tools & Software You Will Master

Get hands-on experience using the exact premium platforms and industry software used by leading Fortune 500 agencies.

Python Jupyter Notebook Pandas NumPy Scikit-Learn TensorFlow PyTorch Streamlit Tableau

Career Paths & Compensation

Salary varies by role, location, skills and experience.

Discuss current salary ranges with admissions

Job Roles You Can Target:

  • Data Scientist
  • AI/ML Engineer
  • Data Analyst
  • Python Developer
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From Python Foundations to Applied AI

Build understanding step by step through the topics already covered in the course curriculum.

Write Structured Python

Practice Python syntax, data structures, object-oriented programming, file handling, regular expressions and exception handling.

Analyze Data & Evaluate Models

Use NumPy and Pandas for data wrangling, explore statistical visualizations, study machine-learning algorithms, and review model evaluation methods.

Explore Generative AI

Learn introductory concepts around Hugging Face transformers, LangChain, embeddings and prompt tuning.

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Placement Drive
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DTCI Mega Placement Fair: 40+ Tech Firms Hiring

Explore Python and AI capstones, upcoming batches and career guidance.

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