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Course Details

Intelligent Tech (AI/ML/Data) With Placement

๐ŸŽฏ MasterTech Pro: Data Science, ML, and Generative AI With DSA ( 9 Months Program )

Instructor: Rahul Kumavat

Created: 20 Jan, 2025

Courses Descriptions

๐Ÿ“ Long Description:

Launch Your Career in Data Science, ML, and Generative AI โ€” with Solid Coding Skills!

This 5-month comprehensive course is designed for learners who want to become job-ready Data Scientists, AI Engineers, or ML Developers with strong coding and analytical skills.

Youโ€™ll start with a foundation in Python programming and Data Structures & Algorithms (DSA), preparing you for real-world problem solving and tech interviews. Then, youโ€™ll dive deep into core data science concepts, machine learning, and model building. Youโ€™ll also explore the fast-evolving world of Generative AI (GenAI)โ€”working with tools like ChatGPT, LangChain, Hugging Face, and building AI-powered applications.

The course is packed with hands-on labs, mini-projects, and capstone challenges to solidify your skills. Whether youโ€™re switching careers or upskilling, this course is your gateway to top-tier data roles.

โœ… Strong Python & DSA Foundation
โœ… Practical ML & GenAI Implementation
โœ… Projects with Real-World Datasets
โœ… Pre-recorded + Self-paced Learning
โœ… Portfolio & Resume Building Support
โœ… Interview Prep and Mock Interviews (Optional Add-on)

๐Ÿ“ฆ Course Modules:

๐Ÿ”น Month 1: Python Programming & Core DSA

  • Python basics to advanced

  • Lists, Dictionaries, Tuples, Sets

  • Functions, Loops, Conditions

  • OOP in Python

  • Data Structures: Arrays, Linked Lists, Stacks, Queues

  • Sorting & Searching Algorithms

  • Time and Space Complexity

  • Leetcode/InterviewBit Practice

๐Ÿ”น Month 2: Mathematics & Statistics for Data Science

  • Linear Algebra essentials

  • Probability & Combinatorics

  • Descriptive & Inferential Statistics

  • Hypothesis Testing

  • Z-Test, T-Test, ANOVA

  • Correlation & Regression

๐Ÿ”น Month 3: Data Analysis & Visualization

  • Numpy, Pandas for data manipulation

  • Matplotlib, Seaborn, Plotly for visualization

  • EDA on real-world datasets

  • Data Cleaning, Feature Engineering

  • Handling missing values, outliers

  • Data Wrangling Projects

๐Ÿ”น Month 4: Machine Learning + Projects

  • Supervised vs. Unsupervised Learning

  • Linear & Logistic Regression

  • Decision Trees, Random Forest

  • KNN, K-Means, SVM, Naive Bayes

  • Model Evaluation (Accuracy, Precision, Recall, F1, ROC)

  • Model Tuning (GridSearch, Cross Validation)

  • Real-world ML projects (fraud detection, sales prediction, etc.)

๐Ÿ”น Month 5: Generative AI (GenAI) & Capstone

  • Introduction to GenAI & Prompt Engineering

  • ChatGPT & OpenAI API integration

  • LangChain for custom AI applications

  • Hugging Face Transformers

  • AutoML tools (Google AutoML, PyCaret)

  • Building GenAI-powered apps (chatbots, content generation)

  • Final Capstone Project: End-to-end DS/ML/GenAI solution

๐ŸŽฏ Tools & Platforms Covered:

  • Python, Jupyter Notebook, VS Code

  • Pandas, Numpy, Scikit-learn, Matplotlib, Seaborn

  • OpenAI, LangChain, Hugging Face

  • GitHub, Colab, AutoML, SQL (Basics)

๐ŸŽ“ Outcome:

  • Be job-ready for roles like Data Scientist, ML Engineer, GenAI Developer, AI Product Analyst, or Data Analyst

  • Strong portfolio with 5+ projects

  • Certification, resume prep, and mock interviews (available with career track)

Introduction to Python and Setup
10:00:00
Variables, Data Types, and Operators
52:00:00
Control Structures (if-else, loops)
10:00:00

Introduction to NumPy and Array Operations
10:00:00
Data Manipulation with Pandas
52:00:00
Data Cleaning โ€“ Missing Values, Duplicates
10:00:00

What is EDA? Importance in DS Projects
10:00:00
Descriptive Statistics in Practice
52:00:00
Data Visualization using Matplotlib & Seaborn
10:00:00

Instructor

Rahul Kumavat

Corporate Trainer

3 Courses

0 Students

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Courses Includes:

  • Price : โ‚น115,000.00
  • Instructor : Rahul Kumavat
  • Durations : 225 Hour
  • Lessons : 75
  • Students : 0
  • Language : English
  • Level : Beginners Level
  • Certifications : Yes
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